{"paper_id":"4cb1e3be-0eaa-463f-bfa5-0d86d7096a09","body_text":"Empirical Study of Knowledge Management Determinants Toward Climate Action Competencies | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article Empirical Study of Knowledge Management Determinants Toward Climate Action Competencies Tawfiqullah Muradi, Vikram Sandhu This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8602123/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract This study aims to evaluate the Knowledge Management (KM) determinants on climate action, and it assesses how university stakeholders can behave with SDGs, specifically SDG13. This study provides insight into the KM determinants of climate action in university stakeholders of Punjab, India. A survey-based, five-point Likert scale was used to test the hypothesis. A structured questionnaire was handed out to 1200 respondents, and 1103 were collected. PLS, CB-SEM techniques, and SPSS-26 applications to gain the result. It focuses on the response to their agreement on commitment to climate action competencies. Despite university stakeholders increasing their scalability in knowledge and skills, and demonstrating various levels of learning on climate action. This study suggests urgent policy reform, comprehensive cultural and value-based transformations, adopting technology without deeper reform, supporting evidence‑based decision‑making, and structured engagement mechanisms that will be adjusted in the recent situation to achieve knowledge. The findings indicate that universities are responsible for executing and adjusting their strategies to enhance stakeholder scalability and proficiencies, either in curriculum-based or mainstreaming with national policy and strategies to achieve their desired goals Scientific community and society/Social sciences Earth and environmental sciences/Environmental social sciences/Climate-change impacts Scientific community and society/Social sciences/Education Knowledge Management Climate Action SDGs University Stakeholders India Figures Figure 1 Figure 2 1. Introduction Knowledge Management (KM) offers great potential to support the Sustainable Development Goals (SDGs), defined as a discipline that encompasses the systematic and strategic management of knowledge within organizations to enhance learning, innovation, and decision-making processes. It involves the creation, capture, sharing, and utilization of knowledge assets to achieve organizational objectives (Wu, J et al., 2019; McInerney & Koenig, 2011). On the other hand, the United Nations (UN) adopted the 17 SDGs to address the most important socio-economic, environmental, and governance issues that the world will confront by 2030 (Nations, U. 2015). Integrating KM with SDGs is important to reduce Cultural challenges (Alavi & Leidner, 2001; Wasko & Faraj, 2005). Policy plays an important role in mainstreaming KM into SD efforts (Vedder et al., 2021) by institutionalizing KM, promoting capacity building, fostering collaboration, and establishing knowledge-sharing platforms (Table 1) to achieve SDGs (Barnett et al., 2019). At present, knowledge is the fundamental basis of competition and facilitates the exchange of information, skills, and insights within organizations, thereby fostering a culture of continuous learning and innovation. Table 1. Knowledge-sharing mechanisms Knowledge-sharing mechanisms Formal mechanisms and structured approaches Informal mechanisms ▪ Knowledge repositories ▪ Databases and document management systems where explicit knowledge is stored and easily accessible. ▪ Communities of practice : ▪ Groups of individuals who share a common interest or expertise meet regularly to discuss and solve problems. ▪ Training programs and workshops : ▪ Organized sessions provide opportunities for employees to learn new skills and share their expertise. ▪ Mentoring and coaching: ▪ Experienced employees guide and support less experienced colleagues, sharing their tacit knowledge through personal interaction ▪ Standard operating procedures (SOPs) ▪ Detailed guidelines and manuals that document best practices and processes. ▪ Social networks and collaboration tools: ▪ Platforms like intranets, chat applications, and social media that facilitate real-time communication and knowledge exchange (Sources: Santos, E. et al., 2024; Charband & Jafari, 2018; Boh. W. F, 2007). Besides, Environmental Knowledge (EK) involves articulation, awareness, access, guidance, completeness, and facilitating, lower costs. facilitating by forums, networks, and unstructured work environments in communities (Table 2), (Emil Hajric, 2018). Table 2. Knowledge Management (KM) in Communities of Practice No Formal Communities of Practice Informal Communities of Practice 1 Education Agriculture and Natural Resources 2 Energy Education 3 Environment Financial Management 4 Finance and Trade Information and Communication Technology 5 Gender and Social Development NGO and Civil Society 6 Governance Poverty 7 Health Resettlement 8 Regional Cooperation and Integration Transport 9 Transport Urban Development 10 Urban Water 11 Water Source: (Srikantaiah, 2008). Therefore, KM is a critical tool for advancing Climate Action (CA) by ensuring that valuable information and insights are effectively captured, shared, and utilized (Barrott, J, 2020), and helps innovative solutions to climate change by integrating diverse knowledge sources and facilitating collaboration among scientists, policymakers, and communities, resulting in innovative technologies and policies. (Khatibi, 2021). This holistic approach to KM ensures the CA is inclusive and effective, ultimately contributing to a more sustainable future (Barrott, J, 2020). Moreover, taking decisive steps can prevent the most catastrophic consequences of climate change, such as extreme weather events, rising sea levels, and loss of biodiversity (UNEP, 2022). Therefore, targets and indicators (Table 3) are essential for ensuring global efforts to combat climate change are effective (Our World in Data team, 2023). Table 3. Key Target & Indicators Ket Targets Descriptions Targets 1 ▪ Strengthen resilience and adaptive capacity to climate-related disasters Targets 2 ▪ Integrate climate change measures into national policies, strategies, and planning Targets 3 ▪ Improve education, awareness raising, and human and institutional capacity on climate change mitigation, adaptation, impact reduction, and early warning. Targets 4 ▪ Implement the commitment undertaken by developed-country parties to the United Nations Framework Convention on Climate Change to a goal of mobilizing jointly $100 billion annually by 2020 from all sources to address the needs of developing countries in the context of meaningful mitigation actions and transparency on implementation Targets 5 ▪ Promote mechanisms for raising capacity for effective climate change-related planning and management in least developed countries and small island developing States, including focusing on women, youth, and local and marginalized communities (Source: https://www.globalgoals.org/goals/13-climate-action/). However, this holistic approach to KM ensures that CA is inclusive and effective and contributes to a more sustainable future (Barrott. J, 2020). SDG-13 emphasizes the need for immediate action to mitigate climate change efforts, increase national resilience, and integrate mitigation solutions into national planning to enhance stakeholder capacity (United Nations, 2024). Hence, the objective of this study is to examine the relationship between determinants of Knowledge Management (KM) with Climate Action (CA), whereas climate policies promote international collaboration to limit global warming and mitigate climate risks, reduce emissions, promote renewable energy, and enhance climate resilience (UNFCCC, 2024; IPCC, 2022; United Nations, 2024). 2. Theoretical framework and Hypothesis development: 2.1. Theoretical Interpretations: Secretary-General on Climate Action declared the Acceleration agenda about facts, followed by 2050. It sets out the actions that government, business, and finance leaders must take this year to prevent dangerous climate thresholds and deliver justice for those on the frontlines of the climate crisis, and put their efforts to deeply cut emissions (Table 4), and deliver climate justice to protect lives and livelihoods (United Nations, 2020). Table 4. UN Agenda for Cutting Emissions and Delivering Climate Justice CUT EMISSIONS Bring forward net-zero deadlines · As close as possible to” a. Developed countries in 2040 b. Emerging Economies 2050. Prepare updated Nationally Determined Contributions (NDC). · “National climate action plans” to be presented in 2025 that, at least for G20 countries, are economy-wide, present absolute emissions cuts, and cover all gases. Present energy transition plans · Present energy transition plans that include tangible actions to ensure net-zero electricity generation: a. Developed countries 2035 b. Rest of the world 2040 · Tangible actions must include No new coal now and coal phase-out: a. OECD countries: 2030 b. Rest of the world: 2040 · Shift fossil fuel subsidies to renewables. · End all licensing and funding (public and private) of new coal, oil, and gas. · End expansion of existing oil and gas reserves. Speed up decarbonization of high-emitting sectors · like shipping, aviation, steel, cement, agriculture, and aluminum. DELIVER CLIMATE JUSTICE · Protect all people from climate disasters with early warning systems by 2027. · Present economy-wide adaptation investment plans for climate-resilient development. · Double adaptation finance by 2025, working towards half of climate finance flowing to adaptation. · Make good on the US$100 billion annual promise to developing countries. · Reform the international financial architecture so developing countries have the support to turbocharge their climate ambitions and build resilience. · Deliver a record replenishment of the Green Climate Fund. · Operationalize the new loss and damage fund this year. ( Sources: United Nations, 2020) In addition, half of the world’s population is already living in climate danger zones, and close to 70% of all deaths from climate-related disasters in the last 50 years happened in 46 least developed countries. Limiting temperature rise to no more than 1.5°C above pre-industrial levels and providing the means to adapt and protect can avoid the worst climate impacts and maintain a livable planet for their Ambition, credibility, and Implementation (Table 5). According to the 6th Assessment Report IPCC, which showed the devastating impacts of the climate crisis, action will be taken: The World Still has a Narrow Window: To avoid dangerous tipping points and secure a livable planet, today and for generations to come. Deep, rapid, and standard emission cuts: Accelerated implementation of adaptation actions in this decade would reduce projected losses and damages for humans and ecosystems. Tools to address the Climate Crisis already Exist: We have the knowledge, financial tools, and technology to cut carbon pollution and protect lives and livelihoods. Table 5. Interrelated tracks of Ambition, credibility, and Implementation Ambition: Credibility: Implementation: ▪ The ambition track is aimed at governments, especially major emitters. ▪ They are asked to respond to the Secretary-General's Acceleration Agenda by announcing concrete actions and proposals on emissions cuts and climate justice. ▪ The credibility track is mostly aimed at leaders of businesses, cities, regions, and financial institutions. ▪ Present plans to transition to net-zero emissions with credible targets, including a 50% reduction by 2030 and net zero by 2050 or sooner and sustained ▪ These targets must be backed by concrete transition plans showing how much emissions will be cut by 2025, 2030, and 2035. ▪ Pledges and transition plans must meet the UN-backed 1.5-aligned net-zero credibility standard set out by the Secretary-General’s High-Level Expert Group in its “Integrity Matters” report. ▪ The implementation track showcases partnerships, both existing and emerging, that either accelerate decarbonization in high-emitting sectors, such as energy or shipping. ▪ Deliver progress on climate justice in areas such as early warning systems and adaptation financing. ( Source: United Nations, 2020) a. Climate Smart Technology Action: encompasses innovations and practices to reduce GHG emissions, enhance resilience to climate impacts, and promote SD. These technologies include renewable energy systems, such as solar, wind, and hydroelectric power, Electric vehicles (Dhankhar, S. et al., 2024), which provide clean and sustainable alternatives to fossil fuels. Advanced energy storage solutions, like batteries and pumped hydro storage, help stabilize energy grids by storing surplus renewable energy during low production (Bazazzadeh, H. et al., 2022 ) . b. Climate-Smart Technologies in Agriculture: It enhances productivity while minimizing environmental impacts, and the use of sensors, GPS, and data analytics to optimize the use of water, fertilizers, and pesticides, reducing waste and improving crop yields (Dou & Wei, 2023). Agroforestry, which integrates trees into agricultural systems, promotes carbon sequestration, biodiversity conservation, and soil health. Furthermore, climate-resilient crop varieties, developed through biotechnology and traditional breeding methods, offer enhanced resistance to drought, pests, and diseases, ensuring food security in changing climate conditions (FAO, 2024). Additionally, Article 6 of UNFCCC, which entered into force in 1994, establishes the framework for public awareness and education programs to cooperate on these issues at the national and international level (UNFCCC 1992,17), in 2015, the 12 th Articles of the Parise Agreement was adopted to enhance appropriate Climate Change Education (CCE) such as training, engagement, and public awareness, along with knowledge availability for the wider community, and International Cooperation ( Table 6), to achieve Paris Agreement and SDGs Target (Nina, 2017). Table 6. Article 6 elements, scope, and objectives of Action for Climate Empowerment (ACE) Source: Paas, L. (2016). Altogether, ESD principles, methods, and public investment in Education significantly impact building adaptive capability and lessening susceptibility to Climate Change (Paas, L. 2016; Raya et al., 2014), which requires several key components. Firstly, it is important to focus on systemic approaches that enable and empower young generations to take action on Climate Change (Marinella, 2021). Secondly, education should encompass climate empowerment initiatives, including awareness-raising, learning, educational access to information, public participation, and international cooperation (Paas, L. 2016). Thirdly, education should go beyond Knowledge acquisition and instead emphasize participation, relevance, and interconnectedness, as these principles are more likely to occur in collective responses to Climate Change (Stuart, 2021). Lastly, education should promote action proficiency rather than merely information by creating learning environments that allow students to practice action-capable approaches to addressing Climate Change, targeting adult and senior learners in Climate literacy (CL), and building action competencies (Lauren, 2017). Likewise, international organizations UN, and international conventions, UNFCCC (Table 7), aim to foster the implementation of CCE and ESD at the regional, national, and global levels (Nina Kolleck et al., 2017), by their financial or non-financial cooperation (Muradi, T. et al., 2023), to mitigate vulnerability and increase resilience in the community. Table 7. International Agreements Related to Environmentally Sustainable Development Conventions Adopted years Mandate Green Conventions UNFCCC 1992 To stabilize GHG concentrations in the atmosphere at a level that would prevent dangerous human interference with the climate system, within a time frame sufficient to allow ecosystems to adapt naturally to climate change. UNFCBD Conservation of biological diversity, its sustainable use, and the fair and equitable sharing of the benefits arising from commercial and other utilization of genetic resources UNFCCD To combat desertification and mitigate the effects of drought in countries experiencing serious drought and/or desertification, particularly in Africa, through effective actions at all levels. Chemical Convention Basel 1989- 1992 Control of Transboundary Movements of Hazardous Wastes and their Disposal Rotterdam 1992, 2004 Paragraph 6 of Article 18. Articles 5 and 6 of the Convention. Annex Ⅰ, Ⅱ, Ⅲ & Ⅳ of the Convention. Stockholm 2001- 2004 Stockholm Convention on Persistent Organic Pollutants (POPs). Annex A, B, C. of Article 8 & new articles D, E & F. Ozone Conventions Ozon Depletion 1985 Recognized as very successful tools to prevent a global environmental catastrophe, as a consequence of stratospheric ozone depletion Ozon Layer 1987 Sources: Handbook, 2003. Un.org, 2024. https://www.brsmeas.org/ ). The above conventions play an executive role in fostering international cooperation and ensuring countries work together to tackle environmental challenges. Establishing common goals and standards helped to create a more sustainable and resilient world for future generations. 2.2. Scenarios of Climate Policy of Post Climate policy scenarios explore pathways for global climate goals, considering international cooperation, technological advancements, and emission reduction measures (Table 8), and indicating the importance of flexibility mechanisms, technology transfer, and financial incentives for developing countries (Gainza-C et al., 2009). Boeters et al. (2007) emphasize the importance of major emitters' commitment and actions in ensuring the success of climate policies through robust international agreements and coordinated efforts (Boeters et al., 2007). These scenarios provide valuable insights for policymakers and stakeholders, enabling them to develop effective and equitable climate policies that address urgent climate change challenges (Timothy R. et al., 2018). Table 8. Climate Change Scenarios Scenarios of Climate Policy of Post Scenarios Description Socioeconomic Scenarios: ▪ Exploring various roles in assessing climate impacts, like understanding climate vulnerability and adaptive capacity across multiple domains, including population, economic activity, governance structures, social values, and technological changes. It allows for the creation of baseline socioeconomic vulnerability, evaluation of climate change impacts, and assessment of vulnerability post-adaptation. Land-Use and Land-Cover Change Scenarios: ▪ It is the major component of climate change impact and adaptation assessments. Most of these scenarios do not address climate change issues explicitly, and currently are the most appropriate tools for developing land-use and land-cover change scenarios. Environmental Scenarios: ▪ Future environmental factors are beyond climate change, and must be considered to modify their impacts. It should include atmospheric composition, water availability, use, quality, and marine pollution, as these factors could significantly influence future climate change impacts. Sea-Level Rise Scenarios: ▪ It is required to evaluate threats to human settlements, ecosystems, and coastal landscapes, focusing on sea-level rise. It uses tide gauge and wave height records, severe weather data, and coastal processes to establish baseline levels. These setups are investigating by superimposing historically observed events onto rising sea levels, aiming to mitigate coastal impacts. Scenarios of the 21st Century: ▪ The IPCC's Special Report on Emissions Scenario (SRES) predicts a global population of 7.0-15.1 billion by 2100, with an average GDP of $197-550 trillion. Global warming is projected to increase from 1.4-5.8°C from 1990 to 2100 due to higher levels of radiative forcing. Mean ground-level O3 concentrations in the northern hemisphere are expected to rise from 40 ppb in 2000 to over 70 ppb in 2100. Estimates of CO2 concentration range from 478 to 1099 ppm by 2100. Rates of warming are expected to be greater than the global average. State of the Science and Future Needs for Scenario Development: ▪ The establishment of global and regional databases has enhanced the quality of baseline observational data regarding climate impact, vulnerability, and adaptation. Assessing the sensitivity of exposure units to different climate futures, helped by Incremental scenarios, while limited long-term mean changes can be estimated for certain variables. Business as Usual Scenario (BUS): ▪ IRC report (2023), Stated that climate change, extreme poverty, and conflict are convergent global challenges, but leaders are neglecting climate-vulnerable, conflict-affected countries. These communities contribute minimally to climate change but are often excluded from climate action. COP28 can address climate injustices faced by these vulnerable communities, not just fragile states, by focusing on climate-vulnerable, conflict-affected countries, thereby addressing the crisis. ( Sources: IRC. Report, 2023; IEA , 2024; GICC & E, 2024; Carter & Pearson, 2022; Gough, I., 2022) (UNFCCC, 2021). All in all, understanding KM determinants in sustainability practices rolled out by university stakeholders is core knowledge of education to improve the quality of education. When they are more informed about the consequences, abilities, and improvements, it impacts their sense of responsibility. Figure 1 presents the proposed study model. Figure1. Proposed Model Besides, the pathway hypothesis underscores the relationship of KM and Climate Action in executing knowledge to promote climate sustainability competencies behavior as: H 1 : Value (V) has a significant relationship with Climate Action (CA). H 2 : Skills (S) are significantly related to Climate Action (CA). H 3 : The Teaching Program (TP) has a significant relationship with Climate Action (CA). H 4 : Distance Learning (DL) is significantly related to Climate Action (CA). H 5 : Technology Innovation (TI) has a significant relationship with Climate Action (CA). H 6 : Creativity (C) has a significant relationship with Climate Action (CA) H 7 : Cultural Intelligence (CI) is significantly related to Climate Action (CA). H 8 : Change Management (CM) is significantly related to Climate Action (CA). 2.3. Interpretations of proposed hypotheses: Value (V): Is an integral to ESD; has three approaches: selecting, evaluating, acting, and it is influencing on climate action (Anayo D et al., 2023), by shaping attitudes, knowledge, efficacy, and norms, has an impact on behavioral change with sustainable outcomes on modern society (Gerard, T et al., 2023). It drives to promote CA by decarbonization through renewable energy communities, and focuses on environmentally friendly wealth creation and high energy efficiency within society. Skills (S) : KM empowers students with practical skills , develops critical thinking, decision-making, problem-solving, creativity, and attitude (Puolimatka, 2003). It is facilitating education and infrastructure, which were the main categories displaying abundant actions in energy, water, education, and a positive impact on GHGs. Admittedly, teachers have to work with these skills and abilities and deliver, which is significant in Scientific Knowledge of Climate Change education and Action (Mejía-Manzano et al., 2023). Teaching Program (TP) : Integrating objectives, concepts, and learning experiences of ESD into syllabuses affects TP and is a part of the reform needs for interdisciplinary inquiry and action taken by teachers for delivering (Muijs & Reynolds, 2000), training, and capacity building with engaging students with a strategy toward sustainability in their teaching practice (Lovasoa et al., 2019). Problem-based learning and effective team teaching on social media strategy are also useful for delivering learning Knowledge (Sheila Killian et al., 2019), improving student satisfaction with teaching, and improving the merits and demerits of teaching quality (Dylan Sutherland et al., 2019). Besides, integration of curriculum, informally and formally, enhances student learning on SD (Peter Hopkinson et al., 2018). Distance Learning (DL) : DL is an alternative form of education based on new technologies called independent study, which is significant in the learning process (M.F., 2022). Besides, DL analysis is significant throughout the new curriculum. It fosters awareness of environmental impact in technological development by introducing \"Sustainable Technology\" and a new integrated Climate change curriculum into technological disciplines (Núñez et al., 2023). Technology Innovation (TI) : Technology executes on climate action due to advances in Machine Learning and Artificial Intelligence tools. Also, reducing pressure in the education sector, and urgent improvements to appeal as a substitute for some aspects of in-person instruction through visualization (Barbara, 2021; S., A. 2023). The use of modern technological tools such as audio, media, and video devices, with innovative teaching methods, can enhance the effectiveness of education, has a potential impact on ESD (S., A. 2023; Zhenya, 2023). Furthermore, sustainable technology and new curricula have to integrate Climate change, with SDGs, into Technology disciplines that emphasize environmental awareness and ethical responsibilities, which focus on urgent strategies and action. Creativity (C) : Creative problem-solving and critical thinking skills are essential to defining and formulating solutions that support educational (Heilig, J. V, et al., 2010), improve ability and capabilities (Florida, 2010), which have an impact on perception in use of social media “digital natives” (Sheila et al., 2019), and it is effect on environmental innovation practices, promoting green creativity (Song W et al., 2020). As well as being important in addressing climate change, it not only enables problem-solving but also drives social acceptance of innovation and contributes to mitigation action (Leonard, 2023; Iolanda, 2022). Cultural Intelligence (CQ) : growing workforce diversity to adapt effectively in different work settings (McFarlin et al, 2012. Ramsey et al, 2016), and need for cross-cultural competence in institutions (Bartel & Giannelloni, 2017), this need will cover by training programs, and comprehension systems for values of culture (Earley & Peterson, 2004), it provides an integrated approach for development of cross-cultural capability which is significant on individual capability, awareness and provide cognitive (CQ, Knowledge), metacognitive (CQ, Strategy), motivational (CQ, Drive) and behavioural (CQ, Action) (Livermore, 2015; MacNab, 2012). Therefore, CQ can directly and indirectly improve Knowledge, enhance skills, and build capacity to strengthen society, affecting the decision-making of individuals on climate action. Change Management (CM) : is the greatest obstacle due to the lack of interest and concern with sustainability issues and university structures (Walter, 2017). It plays a crucial role in enhancing ESD to address climate change, and the adoption of a knowledge mindset in HEIs (Muhammad, 2021; Awopegba et al., 2022). It's empowering students’ collaborations between students and faculty (Jesse, 2020) and innovation in teaching, improving learning methodologies, which prepares students for the complexities of the future job market (Manjula, 2018). Therefore, environmental challenges and adaptation to environment that innovations (Aoife et al., 2015) influence in the implementation of policies for climate change mitigation action and execute innovation in response to environmental threats (GN et al, 2019). Climate Action (CA) : All nations have pledged to address climate change and accomplish the 17 SDGs. Climate change and SD governance should be integrated to enhance the efficacy of action and new coordination institutions worldwide (Fuso et al., 2019). Environmental Education in universities can contribute stakeholders in to climate solutions action. As determined by Miloslav (2022) and Christina (2022), Education plays an important role in driving climate action and positively influences Climate Change concern (Christina, 2022). KM approach ensures the climate action is inclusive and effective, ultimately contributing to a more sustainable future (Julia Barrott, 2020). 3. Methodology 3.1. Measurement of Variables These investigations involved nine constructs in all. These constructs include Value, Skills, Teaching Program, Distance Learning, Technology Innovation, Cultural Intelligence, Change Management, and Climate Action. All variables are taken from the preview’s studies and adjusted to execute in an analysis setting. Besides, A five-point Likert-type scale is utilized to scale the measurements, which ranged from “1 = strongly disagree” to “5 = strongly agree” in their studies, using structural equation modelling (SEM) to execute the relationship among constructs (Gao et al., 2017; Kanwal et al., 2019). 3.2. Data Collection & Survey For the analysis of the study objectives, a survey technique is used for data collection. According to Newsted, P. R. (1998), a survey technique estimates the relationships among variables. Consequently, the dataset is utilized to collect data from the survey using a convenience sampling method. 1200 respondents are targeted, and the questionnaire was distributed to each Top-Five Public and Private University stakeholders (students, teachers, and non-teaching staff) of Punjab, India. Whereas, 1103 respondents were collected from the respondents, and presented with demographic characteristics of all respondents in Table 9. Table 9. Demographic characteristics of respondents. Variables Items Frequency Frequency (%) Universities Private 393 35.6 Public 709 64.3 Total 1103 100.0 Public University Central University of Punjab 117 10.6 GNDU 155 14.1 Punjab University, Chandigarh 119 10.8 Punjabi University Patiala 120 10.9 Jagat Guru Nanak Dev 102 9.2 Private University Chitkara University 120 10.9 Chandigarh University 87 7.9 DAV University 95 8.6 CT University 97 8.8 Amity University 91 8.3 Total 1103 100.0 Designation Non-Teaching Staff 67 6.1 Student 955 86.6 Teacher 81 7.3 Total 1103 100.0 Department Art & Humanities 288 26.1 Multidisciplinary 263 23.8 Science 226 20.5 Social Science 326 29.6 Total 1103 100.0 Gender Female 601 54.5 Male 502 45.5 Total 1103 100.0 Age 21-30 778 70.5 31-40 81 7.3 41-50 9 0.8 Below 20 235 21.3 Total 1103 100.0 Qualification PG 785 71.2 Ph.D. 69 6.3 UG 249 22.6 Total 1103 100.0 Annual Income Less than Rs. 5,00,000 960 87.0 Rs. 5,00,001 – Rs. 10,00,000 88 8.0 More than Rs. 10,00,000 55 5.0 Total 1103 100.0 3.3. Data Analysis This investigation provides valuable information on the KM determinant toward sustainable climate action among university stakeholders. As well as respondents were utilized to measure how respondents knowing the KM determinant and how it effects on climate action. Before entering into another steps, it is necessary to check the reliability of the factor loadings. Principal Component Analysis, and it analyzes the KMO and Bartlett’s Test and its components (Table 10). The KMO and Bartlett's test indicate, the data are significant, and Cronbach's alpha = 0.850 > 0.70, which means that, data are significant and reliable (Fabrigar et al., 1999; Russell, 2002; Milfont & Duckitt, 2004). In this case, this study was considered for further analysis to apply the Structural Equation Model (SEM). Table 10. KMO and Bartlett's Test KMO and Bartlett's Test Kaiser-Meyer-Olkin Measure of Sampling Adequacy. 0.895 Approx. Chi-Square 46424.303 Bartlett's Test of Sphericity 990 Sig. 0.000 Cronbach's Alpha 0.833 No. of Items 45 4. Result of the study This study executes the SEM technique to test the proposed hypotheses. SPSS and Smart-PLS software are utilized to analyze the data. SEM analysis includes two parts: the measurement model and the structural model (Anderson et al., 1988). The measurement model was employed to find reliability and validity, whilst the structural model was used to estimate the relationships among the hypothesised constructs to takeout the study's objectives. 4.1. Measurement model, Reliability & validity The review studies usually evaluated the measurement models' reliability and validity (Shi, H et al., 2017a). Reliability was assessed based on Cronbach’s alpha and composite reliability (CR). The Cronbach’s alpha is used to test the degree of internal consistency of the indicators in each structure, while CR is employed to define the extent to which a train of items can represent potential constructs. The validity tests include testing convergent validity and discriminant validity (Carmines and Zeller, 1979). The average variance extracted (AVE) and outer loading were used to test the convergent validity of the measurement model. When the square root of the AVE of each construct is greater than the highest squared correlation with another construct, the model has sufficient discriminant validity. To ensure the overall quality of the model, we excluded observation items with Factor Loading less than 0.5 (CA4, CA5, CQ5, CM1, C4, C5, DL5, S5, TI4, TI5, TP3, TP4, V4 & V5), which were deleted due to low loading value. The final results are indicated in Table 11. While Cronbach’s alpha of KM determinants and Climate Action is more than 0.5, the Cronbach’s alpha, CR, Factor Loading, and AVE of the other latent variables met the requirements. Bagozzi (1988) argued that when CR is greater than 0.7, there is no needy to refer to Cronbach’s alpha value. Therefore, the present model has enough reliability and validity, and discriminant validity based on Fornell-Larcker (Table 12), in which the diagonal values (bold font) are the square root of the AVE, and the other values are the correlation coefficients between the latent variables. The AVE square root of each latent variable was bigger than its correlation with the other latent variables. Hence, the measurement model has discriminant validity that could be further analysis. Table 11 . Measurement for Validity and Reliability. Construct Items factor loadings Cronbach's alpha CR AVE Climate Action CA2 CA1 CA3 0.940 0.756 0.733 0.851 0.857 0.665 Cultural Intelligence CI1 CI2 CI3 CI4 0.929 0.975 0.963 0.939 0.974 0.975 0.906 Change Management CM2 CM3 CM4 CM5 0.861 0.915 0.911 0.811 0.928 0.930 0.767 Creativity C1 C2 C3 0.845 0.817 0.878 0.883 0.883 0.718 Distance Learning DL2 DL3 DL4 0.766 0.939 0.911 0.902 0.905 0.766 Skills S1 S2 S3 S4 0.878 0.931 0.894 0.881 0.942 0.943 0.803 Technological Innovation TI1 TI2 TI3 0.827 0.866 0.875 0.891 0.891 0.733 Teaching Program TP1 TP2 TP5 0.923 0.730 0.828 0.861 0.864 0.690 Value V1 V2 V3 0.794 0.822 0.922 0.882 0.884 0.718 Table 12. Discriminant Validity (Fornell-Larcker). Construct CA CI CM C DL S TI TP V Climate Action 0.815 Cultural Intelligence 0.504 0.952 Change Management -0.214 -0.477 0.876 Creativity -0.143 -0.205 0.334 0.847 Distance Learning -0.108 -0.158 0.292 0.531 0.875 Skills 0.138 0.549 -0.565 -0.051 -0.021 0.896 Technological Innovation 0.194 0.451 -0.541 -0.051 -0.003 0.698 0.856 Teaching Program -0.076 -0.223 0.433 0.356 0.355 -0.251 -0.109 0.831 Value -0.036 -0.090 0.132 0.678 0.396 0.097 0.050 0.206 0.848 4.2. Structural Model Before assessing the structural model, it is necessary to check the collinearity of the structural model because, if there is a significant level of collinearity between different latent variables, the path coefficient could be biased (Hair et al., 2012a, b; Petter et al., 2007). Based on the PLS algorithm, we achieved the determinant coefficients KM determinants, which showed the quantity of the variance interpreted by the independent variables and indicated the explanatory ability (Fernando and Hor, 2017). In the extended model, the KM determinants and Climate Action are respectively, indicating that the proposed model has good predictive accuracy, and the fit index measures, criteria, and expected structural model are presented (Table 13). Table 13. Fit Measure for Structural Model. Measurement Index Criteria Authors Structural Model Absolute fit measures RMSEA ≤ 0.1 (Azizi, M at el., 2025; Ocakoğlu, O. et al.,2025), 0.058 GFI >0.90 0.907 AGFI >0.80 (Azizi, M at el., 2025; Ocakoğlu, O. et al.,2025), 0.883 Incremental fit measure CFI >0.90 0.953 NFI >0.90 0.942 TLI >0.90 (Li, J. et al., 3021) 0.945 CMIN/DF <5.00 (Azizi, M at el., 2025; Ocakoğlu, O. et al.,2025), 4.764 SRMR <0.08 (Azizi, M at el., 2025; Ocakoğlu, O. et al.,2025), 0.047 The study output results are shown in Fig. 2, and the corresponding path coefficients, T-values, and P-values are provided in Table 14. Table 14. Path analysis and significance verification of the structural models. Constructs Parameters of the Significance Test Hypothesis Path Coefficient T statistics (|O/STDEV|) P values Creativity -> Climate Action -0.105 1.983 0.048 Significant Cultural Intelligence -> Climate Action 0.492 19.148 0.000 Significant Change Management -> Climate Action -0.018 0.464 0.643 Insignificant Distance Learning -> Climate Action -0.014 0.349 0.727 Insignificant Skills -> Climate Action -0.283 5.287 0.000 Significant Technological Innovation -> Climate Action 0.096 1.976 0.049 Significant Teaching Program -> Climate Action 0.030 0.673 0.501 Insignificant Value -> Climate Action 0.135 2.513 0.012 Significant R-Square -> Climate Action 0.295 11.680 0.000 Significant Significant at: *P < 0.05, Based on the hypothesis verification results indicated in Table 14, Value has a significant relationship with Climate Action (H1: β =0.135, T=2.513, P=0.012 < 0.05), H1 is significant and supports the model. Skill has a significant relationship on Climate Action (H2: β =-0.283, T=5.287, P= 0.000 3< 0.05), H2 is also significant and supported study. The Teaching Program has a significant relationship with Climate Action (H3: β=0.030, T=2.513, P=0.501 > 0.05), H3 is positive but insignificant. The relationship of Distance Learning on Climate Action (H4: β=-0.014, T=0.349, P= 0.727 > 0.05); hence, H4 is also insignificant. The relationship of Creativity on Climate Action ( H5: β=-0.105, T=1.983, P= 0.048 < 0.05); therefore, H5 is significant and supports the study. Additionally, the relationship of Cultural Intelligence with Climate Action ( H6: β=0.492, T=19.148, P=0.000 < 0.05), H6 is significant. Besides, Technological Innovation has a significant relationship with Climate Action (H7: β=0.096, T=1.976, P= 0.049 <0.05). H7 is positively significant . Finally, the relationship of Change Management on Climate Action (H8: β=-0.018, T =0.464, P = 0.643 >0.05) ; Therefore, H8 resulted in a relationship that is insignificant. To sum up, five hypotheses are significant and support the structural Model, but 3 hypotheses are insignificant. 5. Finding of the Study This investigation has been assessed, and the results of the hypothesized model indicate that H1, H2, H5, H6, and H7 are significant (p < 0.05) and support the study. Thus, all hypothesized estimations suggest that the respondents (university stakeholders) were familiar with and understood the terms of Value, Skills, Cultural Intelligence, Technological Innovation, and Creativity. Precisely, climate action is not only a technical or policy issue but also a normative one, rooted in collective beliefs about justice, responsibility, and sustainability. This alignment between values and climate action strengthens public trust, enhances behavioral change, and increases the likelihood of effective implementation. Besides, Skills have a significant relationship with climate action because they constitute the practical capacity through which values and knowledge are translated into effective environmental behavior. For example, according to Goldwert, D. et al (2025), skills in renewable energy engineering, data analysis, community mobilization, and policy negotiation directly influence the feasibility and impact of mitigation and adaptation measures. Thus, climate action briefs that integrate skill-building not only strengthen institutional capacity but also ensure that commitments are actionable, scalable, and inclusive (Goldwert, D. et al., 2025). For these purposes, skill measures outcomes, reinforcing the credibility and sustainability of climate action. Also, Cultural Intelligence is significant because it enables diverse communities and institutions to collaborate effectively across cultural boundaries, ensuring that climate strategies are both inclusive and contextually relevant. For example, high levels of cultural intelligence foster intercultural sensitivity, trust, and adaptive communication, which are essential for mobilizing collective action and avoiding the “culture gap” that often undermines climate policies (Maggs, Robinson, & Butters, 2025). Integrating local knowledge systems with scientific expertise produces more just, equitable, and sustainable climate responses (Lazrus, H. et al., 2022). Thus, embedding cultural intelligence into climate action briefs enhances resilience, inclusivity, and the long-term effectiveness of mitigation and adaptation measures. Moreover, Technological innovation and creativity have a significant relationship with climate action because they provide the tools and imaginative approaches necessary to design, scale, and sustain effective mitigation and adaptation strategies. Review shows that technological creativity accelerates transitions toward low-carbon economies by enabling breakthroughs in efficiency and resource management, particularly when combined with participatory governance and interdisciplinary collaboration (Geels, F. W. et al., 2017). In contrast, the Hypotheses H3, H4, and H8 are > 0.05 but insignificant do not find a significant relationship with climate action because their primary focus lies in educational delivery and organizational adaptation rather than direct environmental mitigation or policy implementation. While these approaches can enhance awareness and provide platforms for knowledge dissemination, and often remain disconnected from measurable climate outcomes. For instance, teacher education reforms and digital learning innovations emphasize pedagogical transformation but lack systematic integration with climate action frameworks, resulting in limited impact on emissions reduction or adaptation strategies (Morales-Aguilar et al., 2025). Similarly, change management in educational institutions tends to prioritize organizational efficiency and stakeholder alignment rather than embedding climate-specific competencies, thereby weakening its direct relevance to climate action (Muccione, Ewen, & Vaghefi, 2025). Distance learning, though valuable for accessibility, has been critiqued for its inability to foster the hands-on skills and community-based practices necessary for climate resilience (Muccione, V. et al., 2024). Thus, while these domains contribute indirectly to climate awareness, they do not demonstrate a statistically or substantively significant relationship with climate action outcomes. In conclusion, KM determinants among university stakeholders in Punjab demonstrate that effective climate action is contingent not merely on awareness but on the systematic mobilization of knowledge resources. Determinants such as technological infrastructure, organizational culture, leadership, stakeholder engagement, and others collectively shape institutions' absorptive capacity to translate knowledge into sustainable practices. When fixed within higher education governance, these determinants foster innovation, interdisciplinary collaboration, and resilience, thereby aligning academic ecosystems with a broader climate satisfactory (Nonaka & von Krogh, 2009; Etzkowitz & Zhou, 2017). Importantly, the findings underscore that KM is not an essential enabler but a strategic driver of climate action, ensuring that universities act as knowledge hubs capable of influencing both local adaptation and global sustainability agendas (Geels, 2014), as declared in Conference of Parties (COP), to facilitate organization and governance via climate change funds like GCF, to increase their knowedge, capacity of resilience, policies and awareness in the community (Muradi & Sandhu, 2023). Thus, reinforcing KM determinants in Punjab’s universities needs to provide a pathway to manage climate-responsive education and research in different sources to bridge the gap in policy commitments and with actionable outcomes (Senge, Hamilton, & Kania, 2015). 6. Implications and Suggestions The findings imply that strengthening KM determinants among university stakeholders is critical for translating climate awareness into actionable strategies. When technological infrastructure, organizational culture, leadership, and stakeholder engagement are systematically embedded within higher education governance, universities can act as catalysts for climate-responsive innovation and policy alignment (Table 14). Also, this study suggests that universities in Punjab can deliberately integrate knowledge management (KM) determinants into their institutional frameworks to increase climate action capacity (Table 15). Table 14. Implication of the Study. Implication Discerptions Citations Technological Infrastructure ▪ Investment in digital platforms, data repositories, and knowledge-sharing systems enhances universities’ absorptive capacity, enabling stakeholders to translate climate knowledge into actionable strategies. ▪ Nonaka & von Krogh, 2009. Organizational Culture ▪ A culture that values sustainability and collaborative learning fosters interdisciplinary engagement, ensuring that climate action is embedded in institutional practices rather than treated as peripheral. ▪ Etzkowitz & Zhou, 2017. Leadership and Governance ▪ Strong leadership committed to knowledge management creates alignment between institutional priorities and climate imperatives, positioning universities as strategic hubs for climate-responsive innovation. ▪ Senge, Hamilton, & Kania, 2015. Stakeholder Engagement ▪ Active involvement of students, faculty, and external partners strengthens participatory governance, bridging local adaptation needs with global sustainability agendas. ▪ Geels, 2014. Policy Integration ▪ Embedding KM determinants into higher education policy reforms ensures that climate action commitments move beyond symbolic declarations toward measurable and scalable outcomes. ▪ Etzkowitz & Zhou, 2017. Table 15. Suggestions of the study. Suggestions Discerptions Citations Integrate KM into Climate Policy Frameworks ▪ Universities should embed knowledge management practices directly into institutional climate policies, ensuring that climate action is not treated as an add‑on but as a core governance priority. ▪ Geels, 2014. Strengthen Digital and Technological Infrastructure ▪ Investment in digital repositories, open‑access platforms, and data analytics tools will enhance absorptive capacity and allow stakeholders to translate climate knowledge into measurable outcomes ▪ Nonaka & von Krogh, 2009. Foster Interdisciplinary Collaboration ▪ Climate action requires bridging engineering, social sciences, and policy studies. KM systems should be designed to facilitate cross‑disciplinary knowledge exchange and joint research initiatives ▪ Etzkowitz & Zhou, 2017. Promote Leadership in Knowledge Stewardship ▪ University leaders should act as system stewards, aligning institutional priorities with sustainability goals and fostering a culture of climate‑responsive innovation ▪ Senge, Hamilton, & Kania, 2015. Enhance Stakeholder Engagement ▪ Active participation of students, faculty, and external partners in KM processes ensures inclusivity and legitimacy, strengthening the link between local adaptation needs and global climate agendas. ▪ Etzkowitz & Zhou, 2017. Institutionalize KM Training Programs ▪ Structured training on knowledge sharing, climate literacy, and innovation management will build long‑term capacity among stakeholders, embedding KM as a determinant of climate resilience. ▪ Nonaka & von Krogh, 2009. References Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach . 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Springer, Cham. https://doi.org/10.1007/978-3-319-63951-2_175-1 Puolimatka, T. Constructivism and critical thinking. Inq. Crit. Think. Across Discip. 2003, 22, 5–12. [CrossRef] Raya, Muttarak., Wolfgang, Lutz. (2014). Is education a key to reducing vulnerability to natural disasters and hence unavoidable climate change . Ecology and Society. https://doi:10.5751/ES-06476-190142 Ramsey, J. R., & Lorenz, M. P. (2016). Exploring the impact of cross-cultural management education on cultural intelligence, student satisfaction, and commitment . The Academy of Management Learning and Education, 15(1), 79–99. https://doi.org/10.5465/amle.2014.0124. Srikantaiah, T., & Koenig, M. E. D. (2008, January 1). Knowledge Management in Practice . Information Today, Inc. http://books.google.ie/books? Senge, P., Hamilton, H., & Kania, J. (2015). The dawn of system leadership. https://kayaco.wikidot.com/miscellaneous Shi, H., Ileleji, K., Stroshine, R. L., Keener, K., & Jensen, J. L. (2017). Reduction of aflatoxin in corn by high voltage atmospheric cold plasma. Food and Bioprocess Technology , 10 (6), 1042-1052. https://doi.org/10.1007/s11947-017-1873-8 Sheila Killian, John Lannon, Liam Murray, Gabriela Avram, Marta Giralt, Stephanie O'Riordan (2019). Social Media for Social Good: Student engagement for the SDGs, The International Journal of Management Education , Volume 17, Issue 3, 2019, 100307, ISSN 1472-8117, https://doi.org/10.1016/j.ijme.2019.100307. Song, W., Wang, G. Z., & Ma, X. (2020). Environmental innovation practices and green product innovation performance: A perspective from organizational climate . Sustainable Development, 28(1), 224-234. Stuart, Tannock. (2021). Learning Power & Taking Collective Action . https://doi:10.1007/978-3-030-83000-7_8 S., A. (2023). Implementation of Artificial Intelligence in Education. International research journal of computer science, https://doi:10.26562/irjcs. 2023.v1005.01 Vedder, A. J., Bolt, G., & Van den Ende, B. (2021). Crossing boundaries: Implementing knowledge management in public organizations. International Journal of Public Administration, 44(4), 263-274. https://doi.org/10.1080/01900692.2020.1733382 Wasko, M. M., & Faraj, S. (2005). Why should I share? Examining social capital and knowledge contribution in electronic networks of practice . MIS Quarterly, 29(1), 35-57. https://doi.org/10.2307/25148698 Website/Reports: FAO (2024). Climate Smart Technology Action. Food and Agriculture Organization of United Nations. Available at: https://www.fao.org/climate-smart-agriculture/en/?form=MG0AV3 Julia Barrott, Sukaina Bharwani & Karen Brandon (2020). Transforming knowledge management for climate action: a road map for accelerated discovery and learning. SEI Publications. Available at: https://www.sei.org/publications/transforming-knowledge-management-for-climate-action-a-road-map-for-accelerated-discovery-and-learning/?form=MG0AV3 Handbook for the International Treaties for the Protection of the Ozone Layer (2003). The Vienna Convention (1985), the Montreal Protocol (1987). (2003). Switzerland: Ozone Secretariat, United Nations Environment Programme. Available at: https://www.google.co.in/books/edition/Handbook_for_the_International_Treaties/NlbfrJpxFJEC?hl=en&gbpv=0 IPCC (2022). The evidence is clear: the time for action is now. We can halve emissions by 2030. Intergovernmental Panel on Climate Change. Available at: https://www.ipcc.ch/2022/04/04/ipcc-ar6-wgiii-pressrelease/?form=MG0AV3 IRC, Report. (2023). Climate Action for the Epicenter of Crisis: How COP28 Can Address the Injustices Facing Conflict-Affected Countries. Available at: https://www.rescue.org/report/climate-action-epicenter-crisis-how-cop28-can-address-injustices-facing-conflict-affected IRC, Report. (2023). Climate crisis, understanding climate change: 5 concepts everyone should know. International Rescue Committee. Available at: https://www.rescue.org/article/understanding-climate-change-5-concepts-everyone-should-know International Energy Agency (IEA). (2024). Stated Policies Scenario (STEPS) – Global Energy and Climate Model Analysis. Retrieved from IEA: https://www.iea.org/reports/global-energy-and-climate-model/stated-policies-scenario-steps?form=MG0AV3 GICC & E ( 2024). Pledges and Policies: Are We on Track to Meet Climate Goals? Grantham Institute – Climate Change and the Environment. Retrieved from Imperial College London:https://www.imperial.ac.uk/grantham/publications/background-briefings/pledges-and-policies-are-we-on-track-to-meet-climate-goals/?form=MG0AV3 Maikel Lieuw-Kie-SongRowan PalmerJuha Siikamäki (2024). Decent Work in Nature-Based Solutions 2024: Unlocking jobs through investment in skills and nature-based infrastructure. Available at: https://www.preventionweb.net/news/nature-based-solutions-can-generate-32-million-new-jobs-2030-investments-skills-needed Timothy R. Carter & La Rovere (2018). Developing and Applying Scenarios. Available at: https://www.ipcc.ch/site/assets/uploads/2018/03/wg2TARchap3.pdf?form=MG0AV3 United Nations, (2020). Climate Action, Education is key to addressing climate change. Available at: https://www.un.org/en/climatechange/climate-solutions/education-key-addressing-climate-change?form=MG0AV3 UNFCCC ( 2021). United Scenarios - United Nations Framework Convention on Climate Change (UNFCCC) . Retrieved from UNFCCC https://www4.unfccc.int/sites/SubmissionsStaging/Documents/202112070944---PB31.pdf?form=MG0AV3 UNFCCC (2024). The Paris Agreement, what is the Paris Agreement? United Nations Climate Change. Available at: https://unfccc.int/process-and-meetings/the-paris-agreement?form=MG0AV3 United Nation (2024). About the 2030 Agenda on Sustainable Development. OHCHR and the 2030 Agenda for Sustainable Development; available at: https://www.ohchr.org/en/sdgs/about-2030-agenda-sustainable-development?form=MG0AV3. United Nation (2024). THE 17 GOALS and indicators. Department of Economic and Social Affairs Sustainable Development. Available at: https://sdgs.un.org/goals?form=MG0AV3 United Nations (2024). Conferences | Environment and sustainable development. United Nations. Available at: https://www.un.org/en/conferences/environment/rio1992?form=MG0AV3 Additional Declarations There is NO Competing Interest. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {\"props\":{\"pageProps\":{\"initialData\":{\"identity\":\"rs-8602123\",\"acceptedTermsAndConditions\":true,\"allowDirectSubmit\":true,\"archivedVersions\":[],\"articleType\":\"Article\",\"associatedPublications\":[],\"authors\":[{\"id\":575007197,\"identity\":\"3603eab6-63b5-4a8a-92c2-6fb02a37e5d0\",\"order_by\":0,\"name\":\"Tawfiqullah Muradi\",\"email\":\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA70lEQVRIiWNgGAWjYLACHgMgwXywgeEDkGZjJ04LUA9bYgPjDJAWZqK0MIC0JDAw84B4hLTozsh9+OFNwR95g2PMjbdtfm2T52NmYPzwMQe3FrMb6caScwwMDDccY2y2zu27bdjGzMAsOXMbPi1pDNJAvzBuu9/YJp3bc5sRqIWNmRe/FubfQC32244xtklb9ty2J0YLG8iWRLAWhh+3EwlrOfOMzXKOgXHyfqBfLHsbbie3MTM24/fL8TTmG2/+yNnObGN/eOPHn9u289ubD374iEcLCpBgbANRjA1EqgdpYfhDvOJRMApGwSgYOQAAtbRO/9MYl0sAAAAASUVORK5CYII=\",\"orcid\":\"https://orcid.org/0009-0005-1607-2791\",\"institution\":\"Guru Nanak Dev University\",\"correspondingAuthor\":true,\"prefix\":\"\",\"firstName\":\"Tawfiqullah\",\"middleName\":\"\",\"lastName\":\"Muradi\",\"suffix\":\"\"},{\"id\":575007198,\"identity\":\"734055eb-0a38-46cb-9122-dab33c5e4932\",\"order_by\":1,\"name\":\"Vikram Sandhu\",\"email\":\"\",\"orcid\":\"\",\"institution\":\"Guru Nanak Dev University\",\"correspondingAuthor\":false,\"prefix\":\"\",\"firstName\":\"Vikram\",\"middleName\":\"\",\"lastName\":\"Sandhu\",\"suffix\":\"\"}],\"badges\":[],\"createdAt\":\"2026-01-14 13:15:37\",\"currentVersionCode\":1,\"declarations\":\"\",\"doi\":\"10.21203/rs.3.rs-8602123/v1\",\"doiUrl\":\"https://doi.org/10.21203/rs.3.rs-8602123/v1\",\"draftVersion\":[],\"editorialEvents\":[],\"editorialNote\":\"\",\"failedWorkflow\":false,\"files\":[{\"id\":100396842,\"identity\":\"1c8cf6e6-24bf-477c-83df-34ed19f5f67a\",\"added_by\":\"auto\",\"created_at\":\"2026-01-16 11:41:12\",\"extension\":\"png\",\"order_by\":1,\"title\":\"Figure 1\",\"display\":\"\",\"copyAsset\":false,\"role\":\"figure\",\"size\":124589,\"visible\":true,\"origin\":\"\",\"legend\":\"\\u003cp\\u003e\\u003cstrong\\u003eProposed Model\\u003c/strong\\u003e\\u003c/p\\u003e\",\"description\":\"\",\"filename\":\"1.png\",\"url\":\"https://assets-eu.researchsquare.com/files/rs-8602123/v1/e6d32d1f533575d6fe3b3fe9.png\"},{\"id\":100397243,\"identity\":\"cc589b17-1b8c-4898-98bd-4a4f5ee52805\",\"added_by\":\"auto\",\"created_at\":\"2026-01-16 11:41:49\",\"extension\":\"png\",\"order_by\":2,\"title\":\"Figure 2\",\"display\":\"\",\"copyAsset\":false,\"role\":\"figure\",\"size\":215482,\"visible\":true,\"origin\":\"\",\"legend\":\"\\u003cp\\u003ePath analysis for Structural Model\\u003c/p\\u003e\",\"description\":\"\",\"filename\":\"2.png\",\"url\":\"https://assets-eu.researchsquare.com/files/rs-8602123/v1/e71f67e92fc620d47eaad7cb.png\"},{\"id\":100407670,\"identity\":\"747de696-e660-465c-9fc3-d91ac83b56a7\",\"added_by\":\"auto\",\"created_at\":\"2026-01-16 13:04:39\",\"extension\":\"pdf\",\"order_by\":0,\"title\":\"\",\"display\":\"\",\"copyAsset\":false,\"role\":\"manuscript-pdf\",\"size\":2282705,\"visible\":true,\"origin\":\"\",\"legend\":\"\",\"description\":\"\",\"filename\":\"manuscript.pdf\",\"url\":\"https://assets-eu.researchsquare.com/files/rs-8602123/v1/0c9084e5-375b-4b80-bedb-92a16b31a43f.pdf\"}],\"financialInterests\":\"There is \\u003cb\\u003eNO\\u003c/b\\u003e Competing Interest.\",\"formattedTitle\":\"Empirical Study of Knowledge Management Determinants Toward Climate Action Competencies\",\"fulltext\":[{\"header\":\"1. Introduction\",\"content\":\"\\u003cp\\u003eKnowledge Management (KM) offers great potential to support the Sustainable Development Goals (SDGs), defined as a discipline that encompasses the systematic and strategic management of knowledge within organizations to enhance learning, innovation, and decision-making processes. It involves the creation, capture, sharing, and utilization of knowledge assets to achieve organizational objectives (Wu, J et al., 2019; McInerney \\u0026amp; Koenig, 2011).\\u0026nbsp;On the other hand, the United Nations (UN) adopted the 17 SDGs to address the most important socio-economic, environmental, and governance issues that the world will confront by 2030 (Nations, U. 2015). Integrating KM with SDGs is important to reduce Cultural challenges (Alavi \\u0026amp; Leidner, 2001; Wasko \\u0026amp; Faraj, 2005). Policy plays an important role in mainstreaming KM into SD efforts (Vedder et al., 2021) by institutionalizing KM, promoting capacity building, fostering collaboration, and establishing knowledge-sharing platforms (Table 1) to achieve SDGs (Barnett et al., 2019). At present, knowledge is the fundamental basis of competition and facilitates the exchange of information, skills, and insights within organizations, thereby fostering a culture of continuous learning and innovation.\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003eTable 1.\\u0026nbsp;\\u003c/strong\\u003eKnowledge-sharing mechanisms\\u0026nbsp;\\u003c/p\\u003e\\n\\u003ctable border=\\\"1\\\" cellspacing=\\\"0\\\" cellpadding=\\\"0\\\"\\u003e\\n \\u003ctbody\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd colspan=\\\"4\\\" valign=\\\"bottom\\\" style=\\\"width: 601px;\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eKnowledge-sharing mechanisms\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd colspan=\\\"2\\\" style=\\\"width: 300px;\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eFormal mechanisms and structured approaches\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd colspan=\\\"2\\\" style=\\\"width: 301px;\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eInformal mechanisms\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 126px;\\\"\\u003e\\n \\u003cp\\u003e▪ \\u003cstrong\\u003eKnowledge repositories\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 174px;\\\"\\u003e\\n \\u003cp\\u003e▪ Databases and document management systems where explicit knowledge is stored and easily accessible.\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 108px;\\\"\\u003e\\n \\u003cp\\u003e▪ \\u003cstrong\\u003eCommunities of practice\\u003c/strong\\u003e:\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 193px;\\\"\\u003e\\n \\u003cp\\u003e▪ Groups of individuals who share a common interest or expertise meet regularly to discuss and solve problems.\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 126px;\\\"\\u003e\\n \\u003cp\\u003e▪ \\u003cstrong\\u003eTraining programs and workshops\\u003c/strong\\u003e:\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 174px;\\\"\\u003e\\n \\u003cp\\u003e▪ Organized sessions provide opportunities for employees to learn new skills and share their expertise.\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 108px;\\\"\\u003e\\n \\u003cp\\u003e▪ \\u003cstrong\\u003eMentoring and coaching:\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 193px;\\\"\\u003e\\n \\u003cp\\u003e▪ Experienced employees guide and support less experienced colleagues, sharing their tacit knowledge through personal interaction\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 126px;\\\"\\u003e\\n \\u003cp\\u003e▪ \\u003cstrong\\u003eStandard operating procedures (SOPs)\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 174px;\\\"\\u003e\\n \\u003cp\\u003e▪ Detailed guidelines and manuals that document best practices and processes.\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 108px;\\\"\\u003e\\n \\u003cp\\u003e▪ \\u003cstrong\\u003eSocial networks and collaboration tools:\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 193px;\\\"\\u003e\\n \\u003cp\\u003e▪ Platforms like intranets, chat applications, and social media that facilitate real-time communication and knowledge exchange\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003c/tbody\\u003e\\n\\u003c/table\\u003e\\n\\u003cp\\u003e(Sources: Santos, E. et al., 2024; Charband \\u0026amp; Jafari, 2018; Boh. W. F, 2007).\\u0026nbsp;\\u003c/p\\u003e\\n\\u003cp\\u003eBesides, Environmental Knowledge (EK) involves articulation, awareness, access, guidance, completeness, and facilitating, lower costs. facilitating by forums, networks, and unstructured work environments in communities (Table 2), (Emil Hajric, 2018).\\u0026nbsp;\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003eTable 2.\\u003c/strong\\u003e Knowledge Management (KM) in Communities of Practice\\u0026nbsp;\\u003c/p\\u003e\\n\\u003cdiv align=\\\"center\\\"\\u003e\\n \\u003ctable border=\\\"0\\\" cellspacing=\\\"0\\\" cellpadding=\\\"0\\\" width=\\\"100%\\\"\\u003e\\n \\u003ctbody\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd style=\\\"width: 6px;\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eNo\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd style=\\\"width: 43px;\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eFormal Communities of Practice\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd style=\\\"width: 50px;\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eInformal Communities of Practice\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd style=\\\"width: 6px;\\\"\\u003e\\n \\u003cp\\u003e1\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd style=\\\"width: 43px;\\\"\\u003e\\n \\u003cp\\u003eEducation\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd style=\\\"width: 50px;\\\"\\u003e\\n \\u003cp\\u003eAgriculture and Natural Resources\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd style=\\\"width: 6px;\\\"\\u003e\\n \\u003cp\\u003e2\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd style=\\\"width: 43px;\\\"\\u003e\\n \\u003cp\\u003eEnergy\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd style=\\\"width: 50px;\\\"\\u003e\\n \\u003cp\\u003eEducation\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd style=\\\"width: 6px;\\\"\\u003e\\n \\u003cp\\u003e3\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd style=\\\"width: 43px;\\\"\\u003e\\n \\u003cp\\u003eEnvironment\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd style=\\\"width: 50px;\\\"\\u003e\\n \\u003cp\\u003eFinancial Management\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd style=\\\"width: 6px;\\\"\\u003e\\n \\u003cp\\u003e4\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd style=\\\"width: 43px;\\\"\\u003e\\n \\u003cp\\u003eFinance and Trade\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd style=\\\"width: 50px;\\\"\\u003e\\n \\u003cp\\u003eInformation and Communication Technology\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd style=\\\"width: 6px;\\\"\\u003e\\n \\u003cp\\u003e5\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd style=\\\"width: 43px;\\\"\\u003e\\n \\u003cp\\u003eGender and Social Development\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd style=\\\"width: 50px;\\\"\\u003e\\n \\u003cp\\u003eNGO and Civil Society\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd style=\\\"width: 6px;\\\"\\u003e\\n \\u003cp\\u003e6\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd style=\\\"width: 43px;\\\"\\u003e\\n \\u003cp\\u003eGovernance\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd style=\\\"width: 50px;\\\"\\u003e\\n \\u003cp\\u003ePoverty\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd style=\\\"width: 6px;\\\"\\u003e\\n \\u003cp\\u003e7\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd style=\\\"width: 43px;\\\"\\u003e\\n \\u003cp\\u003eHealth\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd style=\\\"width: 50px;\\\"\\u003e\\n \\u003cp\\u003eResettlement\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd style=\\\"width: 6px;\\\"\\u003e\\n \\u003cp\\u003e8\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd style=\\\"width: 43px;\\\"\\u003e\\n \\u003cp\\u003eRegional Cooperation and Integration\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd style=\\\"width: 50px;\\\"\\u003e\\n \\u003cp\\u003eTransport\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd style=\\\"width: 6px;\\\"\\u003e\\n \\u003cp\\u003e9\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd style=\\\"width: 43px;\\\"\\u003e\\n \\u003cp\\u003eTransport\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd style=\\\"width: 50px;\\\"\\u003e\\n \\u003cp\\u003eUrban Development\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd style=\\\"width: 6px;\\\"\\u003e\\n \\u003cp\\u003e10\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd style=\\\"width: 43px;\\\"\\u003e\\n \\u003cp\\u003eUrban\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd style=\\\"width: 50px;\\\"\\u003e\\n \\u003cp\\u003eWater\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd style=\\\"width: 6px;\\\"\\u003e\\n \\u003cp\\u003e11\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd style=\\\"width: 43px;\\\"\\u003e\\n \\u003cp\\u003eWater\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd style=\\\"width: 50px;\\\"\\u003e\\n \\u003cp\\u003e\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003c/tbody\\u003e\\n \\u003c/table\\u003e\\n\\u003c/div\\u003e\\n\\u003cp\\u003eSource: (Srikantaiah, 2008). \\u0026nbsp;\\u003c/p\\u003e\\n\\u003cp\\u003eTherefore, KM\\u003cstrong\\u003e\\u0026nbsp;\\u003c/strong\\u003eis a critical tool for advancing Climate Action (CA) by ensuring that valuable information and insights are effectively captured, shared, and utilized (Barrott, J, 2020), and helps innovative solutions to climate change by integrating diverse knowledge sources and facilitating collaboration among scientists, policymakers, and communities, resulting in innovative technologies and policies. (Khatibi, 2021). This holistic approach to KM ensures the CA is inclusive and effective, ultimately contributing to a more sustainable future (Barrott, J, 2020). Moreover, taking decisive steps can prevent the most catastrophic consequences of climate change, such as extreme weather events, rising sea levels, and loss of biodiversity (UNEP, 2022). Therefore, targets and indicators (Table 3) are essential for ensuring global efforts to combat climate change are effective (Our World in Data team, 2023).\\u0026nbsp;\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003eTable 3.\\u0026nbsp;\\u003c/strong\\u003eKey Target \\u0026amp; Indicators\\u003c/p\\u003e\\n\\u003ctable border=\\\"1\\\" cellspacing=\\\"0\\\" cellpadding=\\\"0\\\"\\u003e\\n \\u003ctbody\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd style=\\\"width: 96px;\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eKet Targets\\u0026nbsp;\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd style=\\\"width: 505px;\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eDescriptions\\u0026nbsp;\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd style=\\\"width: 96px;\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eTargets\\u0026nbsp;\\u003c/strong\\u003e1\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd style=\\\"width: 505px;\\\"\\u003e\\n \\u003cp\\u003e▪ Strengthen resilience and adaptive capacity to climate-related disasters\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd style=\\\"width: 96px;\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eTargets\\u0026nbsp;\\u003c/strong\\u003e2\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd style=\\\"width: 505px;\\\"\\u003e\\n \\u003cp\\u003e▪ Integrate climate change measures into national policies, strategies, and planning\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd style=\\\"width: 96px;\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eTargets\\u0026nbsp;\\u003c/strong\\u003e3\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd style=\\\"width: 505px;\\\"\\u003e\\n \\u003cp\\u003e▪ Improve education, awareness raising, and human and institutional capacity on climate change mitigation, adaptation, impact reduction, and early warning.\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd style=\\\"width: 96px;\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eTargets\\u0026nbsp;\\u003c/strong\\u003e4\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd style=\\\"width: 505px;\\\"\\u003e\\n \\u003cp\\u003e▪ Implement the commitment undertaken by developed-country parties to the United Nations Framework Convention on Climate Change to a goal of mobilizing jointly $100 billion annually by 2020 from all sources to address the needs of developing countries in the context of meaningful mitigation actions and transparency on implementation\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd style=\\\"width: 96px;\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eTargets\\u0026nbsp;\\u003c/strong\\u003e5\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd style=\\\"width: 505px;\\\"\\u003e\\n \\u003cp\\u003e▪ Promote mechanisms for raising capacity for effective climate change-related planning and management in least developed countries and small island developing States, including focusing on women, youth, and local and marginalized communities\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003c/tbody\\u003e\\n\\u003c/table\\u003e\\n\\u003cp\\u003e(Source: https://www.globalgoals.org/goals/13-climate-action/).\\u0026nbsp;\\u003c/p\\u003e\\n\\u003cp\\u003eHowever, this holistic approach to KM ensures that CA is inclusive and effective and contributes to a more sustainable future (Barrott. J, 2020). SDG-13 emphasizes the need for immediate action to mitigate climate change efforts, increase national resilience, and integrate mitigation solutions into national planning to enhance stakeholder capacity (United Nations, 2024). Hence, the objective of this study is to examine the relationship between determinants of Knowledge Management (KM) with Climate Action (CA), whereas climate policies promote international collaboration to limit global warming and mitigate climate risks, reduce emissions, promote renewable energy, and enhance climate resilience (UNFCCC, 2024; IPCC, 2022; United Nations, 2024).\\u0026nbsp;\\u003c/p\\u003e\"},{\"header\":\"2. Theoretical framework and Hypothesis development:\",\"content\":\"\\u003cp\\u003e\\u003cstrong\\u003e\\u003cem\\u003e2.1. Theoretical Interpretations:\\u0026nbsp;\\u003c/em\\u003e\\u003c/strong\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003eSecretary-General on Climate Action declared the Acceleration agenda about facts, followed by 2050. It sets out the actions that government, business, and finance leaders must take this year to prevent dangerous climate thresholds and deliver justice for those on the frontlines of the climate crisis, and put their efforts to deeply cut emissions (Table 4), and deliver climate justice to protect lives and livelihoods (United Nations, 2020).\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003eTable 4.\\u003c/strong\\u003e UN Agenda for Cutting Emissions and Delivering Climate Justice\\u003c/p\\u003e\\n\\u003ctable border=\\\"1\\\" cellspacing=\\\"0\\\" cellpadding=\\\"0\\\"\\u003e\\n \\u003ctbody\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd colspan=\\\"2\\\" style=\\\"width: 581px;\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eCUT EMISSIONS\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 164px;\\\"\\u003e\\n \\u003cp\\u003eBring forward net-zero deadlines\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 417px;\\\"\\u003e\\n \\u003cp\\u003e\\u0026middot; As close as possible to\\u0026rdquo;\\u003c/p\\u003e\\n \\u003cp\\u003ea. Developed countries in 2040\\u003c/p\\u003e\\n \\u003cp\\u003eb. Emerging Economies 2050.\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 164px;\\\"\\u003e\\n \\u003cp\\u003ePrepare updated Nationally Determined Contributions (NDC).\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 417px;\\\"\\u003e\\n \\u003cp\\u003e\\u0026middot; \\u0026ldquo;National climate action plans\\u0026rdquo; to be presented in 2025 that, at least for G20 countries, are economy-wide, present absolute emissions cuts, and cover all gases.\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd style=\\\"width: 164px;\\\"\\u003e\\n \\u003cp\\u003ePresent energy transition plans\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 417px;\\\"\\u003e\\n \\u003cp\\u003e\\u0026middot; Present energy transition plans that include tangible actions to ensure net-zero electricity generation:\\u003c/p\\u003e\\n \\u003cp\\u003ea. \\u0026nbsp; \\u0026nbsp;Developed countries 2035\\u003c/p\\u003e\\n \\u003cp\\u003eb. \\u0026nbsp; \\u0026nbsp;Rest of the world \\u0026nbsp; \\u0026nbsp; \\u0026nbsp;2040\\u003c/p\\u003e\\n \\u003cp\\u003e\\u0026middot; Tangible actions must include No new coal now and coal phase-out:\\u003c/p\\u003e\\n \\u003cp\\u003ea. OECD countries: 2030\\u003c/p\\u003e\\n \\u003cp\\u003eb. Rest of the world: 2040\\u003c/p\\u003e\\n \\u003cp\\u003e\\u0026middot; Shift fossil fuel subsidies to renewables.\\u003c/p\\u003e\\n \\u003cp\\u003e\\u0026middot; End all licensing and funding (public and private) of new coal, oil, and gas.\\u003c/p\\u003e\\n \\u003cp\\u003e\\u0026middot; End expansion of existing oil and gas reserves.\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 164px;\\\"\\u003e\\n \\u003cp\\u003eSpeed up decarbonization of high-emitting sectors\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 417px;\\\"\\u003e\\n \\u003cp\\u003e\\u0026middot; like shipping, aviation, steel, cement, agriculture, and aluminum.\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd colspan=\\\"2\\\" style=\\\"width: 581px;\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eDELIVER CLIMATE JUSTICE\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd colspan=\\\"2\\\" valign=\\\"top\\\" style=\\\"width: 581px;\\\"\\u003e\\n \\u003cp\\u003e\\u0026middot; Protect all people from climate disasters with early warning systems by 2027.\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd colspan=\\\"2\\\" valign=\\\"top\\\" style=\\\"width: 581px;\\\"\\u003e\\n \\u003cp\\u003e\\u0026middot; Present economy-wide adaptation investment plans for climate-resilient development.\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd colspan=\\\"2\\\" valign=\\\"top\\\" style=\\\"width: 581px;\\\"\\u003e\\n \\u003cp\\u003e\\u0026middot; Double adaptation finance by 2025, working towards half of climate finance flowing to adaptation.\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd colspan=\\\"2\\\" valign=\\\"top\\\" style=\\\"width: 581px;\\\"\\u003e\\n \\u003cp\\u003e\\u0026middot; Make good on the US$100 billion annual promise to developing countries.\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd colspan=\\\"2\\\" valign=\\\"top\\\" style=\\\"width: 581px;\\\"\\u003e\\n \\u003cp\\u003e\\u0026middot; Reform the international financial architecture so developing countries have the support to turbocharge their climate ambitions and build resilience.\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd colspan=\\\"2\\\" valign=\\\"top\\\" style=\\\"width: 581px;\\\"\\u003e\\n \\u003cp\\u003e\\u0026middot; Deliver a record replenishment of the Green Climate Fund.\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd colspan=\\\"2\\\" valign=\\\"top\\\" style=\\\"width: 581px;\\\"\\u003e\\n \\u003cp\\u003e\\u0026middot; Operationalize the new loss and damage fund this year.\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003c/tbody\\u003e\\n\\u003c/table\\u003e\\n\\u003cp\\u003e(\\u003cstrong\\u003eSources:\\u0026nbsp;\\u003c/strong\\u003eUnited Nations, 2020)\\u003c/p\\u003e\\n\\u003cp\\u003eIn addition,\\u003cstrong\\u003e\\u0026nbsp;\\u003c/strong\\u003ehalf of the world\\u0026rsquo;s population is already living in climate danger zones, and close to 70% of all deaths from climate-related disasters in the last 50 years happened in 46 least developed countries. Limiting temperature rise to no more than 1.5\\u0026deg;C above pre-industrial levels and providing the means to adapt and protect can avoid the worst climate impacts and maintain a livable planet for their Ambition, credibility, and Implementation (Table 5). According to the 6th Assessment Report IPCC, which showed the devastating impacts of the climate crisis, action will be taken:\\u0026nbsp;\\u003c/p\\u003e\\n\\u003cul style=\\\"list-style-type: square;\\\"\\u003e\\n \\u003cli\\u003eThe World Still has a Narrow Window: To avoid dangerous tipping points and secure a livable planet, today and for generations to come.\\u003c/li\\u003e\\n \\u003cli\\u003eDeep, rapid, and standard emission cuts: Accelerated implementation of adaptation actions in this decade would reduce projected losses and damages for humans and ecosystems.\\u003c/li\\u003e\\n \\u003cli\\u003eTools to address the Climate Crisis already Exist: We have the knowledge, financial tools, and technology to cut carbon pollution and protect lives and livelihoods.\\u003c/li\\u003e\\n\\u003c/ul\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003eTable 5.\\u003c/strong\\u003e Interrelated tracks of Ambition, credibility, and Implementation\\u003c/p\\u003e\\n\\u003ctable border=\\\"1\\\" cellspacing=\\\"0\\\" cellpadding=\\\"0\\\"\\u003e\\n \\u003ctbody\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd valign=\\\"bottom\\\" style=\\\"width: 174px;\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eAmbition:\\u0026nbsp;\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"bottom\\\" style=\\\"width: 252px;\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eCredibility:\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"bottom\\\" style=\\\"width: 175px;\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eImplementation:\\u0026nbsp;\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 174px;\\\"\\u003e\\n \\u003cp\\u003e▪ The ambition track is aimed at governments, especially major emitters.\\u003c/p\\u003e\\n \\u003cp\\u003e▪ They are asked to respond to the Secretary-General\\u0026apos;s Acceleration Agenda by announcing concrete actions and proposals on emissions cuts and climate justice.\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 252px;\\\"\\u003e\\n \\u003cp\\u003e▪ The credibility track is mostly aimed at leaders of businesses, cities, regions, and financial institutions.\\u003c/p\\u003e\\n \\u003cp\\u003e▪ Present plans to transition to net-zero emissions with credible targets, including a 50% reduction by 2030 and net zero by 2050 or sooner and sustained\\u0026nbsp;\\u003c/p\\u003e\\n \\u003cp\\u003e▪ These targets must be backed by concrete transition plans showing how much emissions will be cut by 2025, 2030, and 2035.\\u003c/p\\u003e\\n \\u003cp\\u003e▪ Pledges and transition plans must meet the UN-backed 1.5-aligned net-zero credibility standard set out by the Secretary-General\\u0026rsquo;s High-Level Expert Group in its \\u0026ldquo;Integrity Matters\\u0026rdquo; report.\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 175px;\\\"\\u003e\\n \\u003cp\\u003e▪ The implementation track showcases partnerships, both existing and emerging, that either accelerate decarbonization in high-emitting sectors, such as energy or shipping.\\u003c/p\\u003e\\n \\u003cp\\u003e▪ Deliver progress on climate justice in areas such as early warning systems and adaptation financing.\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003c/tbody\\u003e\\n\\u003c/table\\u003e\\n\\u003cp\\u003e(\\u003cstrong\\u003eSource:\\u003c/strong\\u003e United Nations, 2020)\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003ea. \\u0026nbsp;\\u0026nbsp;\\u003c/strong\\u003eClimate Smart Technology Action:\\u003cstrong\\u003e\\u0026nbsp;\\u003c/strong\\u003eencompasses innovations and practices to reduce GHG emissions, enhance resilience to climate impacts, and promote SD. These technologies include renewable energy systems, such as solar, wind, and hydroelectric power, Electric vehicles (Dhankhar, S. et al., 2024), which provide clean and sustainable alternatives to fossil fuels. Advanced energy storage solutions, like batteries and pumped hydro storage, help stabilize energy grids by storing surplus renewable energy during low production (Bazazzadeh, H. et al., 2022\\u003cem\\u003e)\\u003c/em\\u003e.\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003eb. \\u0026nbsp;\\u0026nbsp;\\u003c/strong\\u003eClimate-Smart Technologies in Agriculture: It enhances productivity while minimizing environmental impacts, and the use of sensors, GPS, and data analytics to optimize the use of water, fertilizers, and pesticides, reducing waste and improving crop yields (Dou \\u0026amp; Wei, 2023). Agroforestry, which integrates trees into agricultural systems, promotes carbon sequestration, biodiversity conservation, and soil health. Furthermore, climate-resilient crop varieties, developed through biotechnology and traditional breeding methods, offer enhanced resistance to drought, pests, and diseases, ensuring food security in changing climate conditions (FAO, 2024).\\u003c/p\\u003e\\n\\u003cp\\u003eAdditionally,\\u0026nbsp;Article 6 of UNFCCC, which entered into force in 1994, establishes the framework for public awareness and education programs to cooperate on these issues at the national and international level (UNFCCC 1992,17), in 2015, the 12\\u003csup\\u003eth\\u003c/sup\\u003e Articles of the Parise Agreement was adopted to enhance appropriate Climate Change Education (CCE) such as training, engagement, and public awareness, along with knowledge availability for the wider community, and International Cooperation ( Table 6), to achieve Paris Agreement and SDGs Target (Nina, 2017).\\u0026nbsp;\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003eTable 6.\\u003c/strong\\u003e Article 6 elements, scope, and objectives of Action for Climate Empowerment (ACE)\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cimg width=\\\"507\\\" height=\\\"222\\\" 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\\\" alt=\\\"image\\\"\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003eSource: Paas, L. (2016).\\u003c/p\\u003e\\n\\u003cp\\u003eAltogether, ESD principles, methods, and public investment in Education significantly impact building adaptive capability and lessening susceptibility to Climate Change (Paas, L. 2016; Raya et al., 2014), which requires several key components. Firstly, it is important to focus on systemic approaches that enable and empower young generations to take action on Climate Change (Marinella, 2021). Secondly, education should encompass climate empowerment initiatives, including awareness-raising, learning, educational access to information, public participation, and international cooperation (Paas, L. 2016). Thirdly, education should go beyond Knowledge acquisition and instead emphasize participation, relevance, and interconnectedness, as these principles are more likely to occur in collective responses to Climate Change (Stuart, 2021). Lastly, education should promote action proficiency rather than merely information by creating learning environments that allow students to practice action-capable approaches to addressing Climate Change, targeting adult and senior learners in Climate literacy (CL), and building action competencies (Lauren, 2017). Likewise, international organizations UN, and international conventions, UNFCCC (Table 7), aim to foster the implementation of CCE and ESD at the regional, national, and global levels (Nina Kolleck et al., 2017), by their financial or non-financial cooperation (Muradi, T. et al., 2023), to mitigate vulnerability and increase resilience in the community. \\u0026nbsp;\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003eTable 7.\\u003c/strong\\u003e International Agreements Related to Environmentally Sustainable Development\\u003c/p\\u003e\\n\\u003ctable border=\\\"1\\\" cellspacing=\\\"0\\\" cellpadding=\\\"0\\\" width=\\\"100%\\\"\\u003e\\n \\u003ctbody\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd colspan=\\\"2\\\" style=\\\"width: 21px;\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eConventions\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd style=\\\"width: 13px;\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eAdopted years\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd style=\\\"width: 64px;\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eMandate\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd rowspan=\\\"3\\\" style=\\\"width: 7px;\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eGreen Conventions\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd style=\\\"width: 13px;\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eUNFCCC\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd rowspan=\\\"3\\\" style=\\\"width: 13px;\\\"\\u003e\\n \\u003cp\\u003e1992\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 64px;\\\"\\u003e\\n \\u003cp\\u003eTo stabilize GHG concentrations in the atmosphere at a level that would prevent dangerous human interference with the climate system, within a time frame sufficient to allow ecosystems to adapt naturally to climate change.\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd style=\\\"width: 13px;\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eUNFCBD\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 64px;\\\"\\u003e\\n \\u003cp\\u003eConservation of biological diversity, its sustainable use, and the fair and equitable sharing of the benefits arising from commercial and other utilization of genetic resources\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd style=\\\"width: 13px;\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eUNFCCD\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd style=\\\"width: 64px;\\\"\\u003e\\n \\u003cp\\u003eTo combat desertification and mitigate the effects of drought in countries experiencing serious drought and/or desertification, particularly in Africa, through effective actions at all levels.\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd rowspan=\\\"3\\\" style=\\\"width: 7px;\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eChemical Convention\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd style=\\\"width: 13px;\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eBasel\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd style=\\\"width: 13px;\\\"\\u003e\\n \\u003cp\\u003e1989- 1992\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 64px;\\\"\\u003e\\n \\u003cp\\u003eControl of Transboundary Movements of Hazardous Wastes and their Disposal\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd style=\\\"width: 13px;\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eRotterdam\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd style=\\\"width: 13px;\\\"\\u003e\\n \\u003cp\\u003e1992, 2004\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 64px;\\\"\\u003e\\n \\u003cp\\u003eParagraph 6 of Article 18. Articles 5 and 6 of the Convention. Annex Ⅰ, Ⅱ, Ⅲ \\u0026amp; Ⅳ of the Convention.\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd style=\\\"width: 13px;\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eStockholm\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd style=\\\"width: 13px;\\\"\\u003e\\n \\u003cp\\u003e2001- 2004\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 64px;\\\"\\u003e\\n \\u003cp\\u003eStockholm Convention on Persistent Organic Pollutants (POPs). Annex A, B, C. of Article 8 \\u0026amp; new articles D, E \\u0026amp; F.\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd rowspan=\\\"2\\\" style=\\\"width: 7px;\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eOzone Conventions\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd style=\\\"width: 13px;\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eOzon Depletion\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd style=\\\"width: 13px;\\\"\\u003e\\n \\u003cp\\u003e1985\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd rowspan=\\\"2\\\" style=\\\"width: 64px;\\\"\\u003e\\n \\u003cp\\u003eRecognized as very successful tools to prevent a global environmental catastrophe, as a consequence of stratospheric ozone depletion\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 13px;\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eOzon Layer\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 13px;\\\"\\u003e\\n \\u003cp\\u003e1987\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003c/tbody\\u003e\\n\\u003c/table\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003eSources:\\u003c/strong\\u003e Handbook, 2003. Un.org, 2024. \\u003cu\\u003ehttps://www.brsmeas.org/\\u003c/u\\u003e).\\u0026nbsp;\\u003c/p\\u003e\\n\\u003cp\\u003eThe above conventions play an executive role in fostering international cooperation and ensuring countries work together to tackle environmental challenges. Establishing common goals and standards helped to create a more sustainable and resilient world for future generations.\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003e\\u003cem\\u003e2.2. \\u0026nbsp; \\u0026nbsp; \\u0026nbsp;\\u003c/em\\u003e\\u003c/strong\\u003e\\u003cstrong\\u003eScenarios of Climate Policy of Post\\u0026nbsp;\\u003c/strong\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003eClimate policy scenarios explore pathways for global climate goals, considering international cooperation, technological advancements, and emission reduction measures (Table 8), and indicating the importance of flexibility mechanisms, technology transfer, and financial incentives for developing countries (Gainza-C et al., 2009). Boeters et al. (2007) emphasize the importance of major emitters\\u0026apos; commitment and actions in ensuring the success of climate policies through robust international agreements and coordinated efforts (Boeters et al., 2007). These scenarios provide valuable insights for policymakers and stakeholders, enabling them to develop effective and equitable climate policies that address urgent climate change challenges (Timothy R. et al., 2018).\\u0026nbsp;\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003eTable 8.\\u003c/strong\\u003e Climate Change Scenarios\\u0026nbsp;\\u003c/p\\u003e\\n\\u003ctable border=\\\"1\\\" cellspacing=\\\"0\\\" cellpadding=\\\"0\\\" width=\\\"100%\\\" class=\\\"fr-table-selection-hover\\\"\\u003e\\n \\u003ctbody\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd colspan=\\\"2\\\" style=\\\"width: 100px;\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eScenarios of Climate Policy of Post\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd style=\\\"width: 22px;\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eScenarios\\u0026nbsp;\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd style=\\\"width: 77px;\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eDescription\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 22px;\\\"\\u003e\\n \\u003cp\\u003eSocioeconomic Scenarios:\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 77px;\\\"\\u003e\\n \\u003cp\\u003e▪ Exploring various roles in assessing climate impacts, like understanding climate vulnerability and adaptive capacity across multiple domains, including population, economic activity, governance structures, social values, and technological changes. It allows for the creation of baseline socioeconomic vulnerability, evaluation of climate change impacts, and assessment of vulnerability post-adaptation.\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 22px;\\\"\\u003e\\n \\u003cp\\u003eLand-Use and Land-Cover Change Scenarios:\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 77px;\\\"\\u003e\\n \\u003cp\\u003e▪ It is the major component of climate change impact and adaptation assessments. Most of these scenarios do not address climate change issues explicitly, and currently are the most appropriate tools for developing land-use and land-cover change scenarios.\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 22px;\\\"\\u003e\\n \\u003cp\\u003eEnvironmental Scenarios:\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 77px;\\\"\\u003e\\n \\u003cp\\u003e▪ Future environmental factors are beyond climate change, and must be considered to modify their impacts. It should include atmospheric composition, water availability, use, quality, and marine pollution, as these factors could significantly influence future climate change impacts.\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 22px;\\\"\\u003e\\n \\u003cp\\u003eSea-Level Rise Scenarios:\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 77px;\\\"\\u003e\\n \\u003cp\\u003e▪ It is required to evaluate threats to human settlements, ecosystems, and coastal landscapes, focusing on sea-level rise. It uses tide gauge and wave height records, severe weather data, and coastal processes to establish baseline levels. These setups are investigating by superimposing historically observed events onto rising sea levels, aiming to mitigate coastal impacts.\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 22px;\\\"\\u003e\\n \\u003cp\\u003eScenarios of the 21st Century:\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 77px;\\\"\\u003e\\n \\u003cp\\u003e▪ The IPCC\\u0026apos;s Special Report on Emissions Scenario (SRES) predicts a global population of 7.0-15.1 billion by 2100, with an average GDP of $197-550 trillion. Global warming is projected to increase from 1.4-5.8\\u0026deg;C from 1990 to 2100 due to higher levels of radiative forcing. Mean ground-level O3 concentrations in the northern hemisphere are expected to rise from 40 ppb in 2000 to over 70 ppb in 2100. Estimates of CO2 concentration range from 478 to 1099 ppm by 2100. Rates of warming are expected to be greater than the global average.\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 22px;\\\"\\u003e\\n \\u003cp\\u003eState of the Science and Future Needs for Scenario Development:\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 77px;\\\"\\u003e\\n \\u003cp\\u003e▪ The establishment of global and regional databases has enhanced the quality of baseline observational data regarding climate impact, vulnerability, and adaptation. Assessing the sensitivity of exposure units to different climate futures, helped by Incremental scenarios, while limited long-term mean changes can be estimated for certain variables.\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd style=\\\"width: 22px;\\\"\\u003e\\n \\u003cp\\u003eBusiness as Usual Scenario (BUS):\\u0026nbsp;\\u003c/p\\u003e\\n \\u003cp\\u003e\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 77px;\\\"\\u003e\\n \\u003cp\\u003e▪ IRC report (2023), Stated that climate change, extreme poverty, and conflict are convergent global challenges, but leaders are neglecting climate-vulnerable, conflict-affected countries. These communities contribute minimally to climate change but are often excluded from climate action. COP28 can address climate injustices faced by these vulnerable communities, not just fragile states, by focusing on climate-vulnerable, conflict-affected countries, thereby addressing the crisis.\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003c/tbody\\u003e\\n\\u003c/table\\u003e\\n\\u003cp\\u003e(\\u003cstrong\\u003eSources:\\u003c/strong\\u003e IRC. Report, 2023; IEA\\u003cstrong\\u003e,\\u0026nbsp;\\u003c/strong\\u003e2024; GICC \\u0026amp; E, 2024; Carter \\u0026amp; Pearson, 2022; Gough, I., 2022) (UNFCCC,\\u003cstrong\\u003e\\u0026nbsp;\\u003c/strong\\u003e2021).\\u003c/p\\u003e\\n\\u003cp\\u003eAll in all, understanding KM determinants in sustainability practices rolled out by university stakeholders is core knowledge of education to improve the quality of education. When they are more informed about the consequences, abilities, and improvements, it impacts their sense of responsibility. Figure 1 presents the proposed study model.\\u0026nbsp;\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003eFigure1. Proposed Model\\u003c/strong\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cimg width=\\\"417\\\" height=\\\"327\\\" 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\\\" alt=\\\"image\\\"\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003eBesides, the pathway hypothesis underscores the relationship of KM and Climate Action in executing knowledge to promote climate sustainability competencies behavior as: \\u0026nbsp;\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003eH\\u003csub\\u003e1\\u003c/sub\\u003e: \\u0026nbsp; \\u0026nbsp; \\u0026nbsp;\\u003c/strong\\u003eValue (V) has a significant relationship with Climate Action (CA).\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003eH\\u003csub\\u003e2\\u003c/sub\\u003e:\\u003c/strong\\u003e\\u0026nbsp; \\u0026nbsp; Skills (S) are significantly related to Climate Action (CA).\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003eH\\u003csub\\u003e3\\u003c/sub\\u003e:\\u003c/strong\\u003e The Teaching Program (TP) has a significant relationship with Climate Action (CA).\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003eH\\u003csub\\u003e4\\u003c/sub\\u003e:\\u003c/strong\\u003e Distance Learning (DL) is significantly related to Climate Action (CA).\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003eH\\u003csub\\u003e5\\u003c/sub\\u003e:\\u003c/strong\\u003e\\u0026nbsp; Technology Innovation (TI) has a significant relationship with Climate Action (CA).\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003eH\\u003csub\\u003e6\\u003c/sub\\u003e:\\u003c/strong\\u003e Creativity (C) has a significant relationship with Climate Action (CA)\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003eH\\u003csub\\u003e7\\u003c/sub\\u003e:\\u003c/strong\\u003e Cultural Intelligence (CI) is significantly related to Climate Action (CA).\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003eH\\u003csub\\u003e8\\u003c/sub\\u003e:\\u003c/strong\\u003e\\u0026nbsp; Change Management (CM) is significantly related to Climate Action (CA).\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003e2.3. Interpretations of proposed hypotheses:\\u003c/strong\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003e\\u003cem\\u003eValue (V):\\u0026nbsp;\\u003c/em\\u003e\\u003c/strong\\u003eIs an\\u003cstrong\\u003e\\u003cem\\u003e\\u0026nbsp;\\u003c/em\\u003e\\u003c/strong\\u003eintegral to ESD; has three approaches: selecting, evaluating, acting, and it is influencing on climate action (Anayo D et al., 2023), by shaping attitudes, knowledge, efficacy, and norms, has an impact on behavioral change with sustainable outcomes on modern society (Gerard,\\u0026nbsp;T\\u0026nbsp;et al., 2023). It drives to promote CA by decarbonization through renewable energy communities, and focuses on environmentally friendly wealth creation and high energy efficiency within society.\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003e\\u003cem\\u003eSkills (S)\\u003c/em\\u003e\\u003c/strong\\u003e\\u003cem\\u003e:\\u0026nbsp;\\u003c/em\\u003eKM empowers students with practical skills\\u003cstrong\\u003e,\\u0026nbsp;\\u003c/strong\\u003edevelops critical thinking, decision-making, problem-solving, creativity, and attitude (Puolimatka, 2003). It is facilitating education and infrastructure, which were the main categories displaying abundant actions in energy, water, education, and a positive impact on GHGs. Admittedly, teachers have to work with these skills and abilities and deliver, which is significant in Scientific Knowledge of Climate Change education and Action (Mej\\u0026iacute;a-Manzano et al., 2023). \\u0026nbsp;\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003e\\u003cem\\u003eTeaching Program (TP)\\u003c/em\\u003e\\u003c/strong\\u003e: Integrating objectives, concepts, and learning experiences of ESD into syllabuses affects TP and is a part of the reform needs for interdisciplinary inquiry and action taken by teachers for delivering (Muijs \\u0026amp; Reynolds, 2000), training, and capacity building with engaging students with a strategy toward sustainability in their teaching practice (Lovasoa et al., 2019). Problem-based learning and effective team teaching on social media strategy are also useful for delivering learning Knowledge (Sheila Killian et al., 2019), improving student satisfaction with teaching, and improving the merits and demerits of teaching quality (Dylan Sutherland et al., 2019). Besides, integration of curriculum, informally and formally, enhances student learning on SD (Peter Hopkinson et al., 2018).\\u0026nbsp;\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003e\\u003cem\\u003eDistance Learning (DL)\\u003c/em\\u003e\\u003c/strong\\u003e\\u003cstrong\\u003e:\\u0026nbsp;\\u003c/strong\\u003eDL is an alternative form of education based on new technologies called independent study, which is significant in the learning process (M.F., 2022). Besides, DL analysis is significant throughout the new curriculum. It fosters awareness of environmental impact in technological development by introducing \\u0026quot;Sustainable Technology\\u0026quot; and a new integrated Climate change curriculum into technological disciplines (N\\u0026uacute;\\u0026ntilde;ez et al., 2023).\\u0026nbsp;\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003e\\u003cem\\u003eTechnology Innovation (TI)\\u003c/em\\u003e\\u003c/strong\\u003e\\u003cstrong\\u003e:\\u003cem\\u003e\\u0026nbsp;\\u003c/em\\u003e\\u003c/strong\\u003eTechnology executes on climate action due to advances in Machine Learning and Artificial Intelligence tools. Also, reducing pressure in the education sector, and urgent improvements to appeal as a substitute for some aspects of in-person instruction through visualization (Barbara, 2021; S., A. 2023). The use of modern technological tools such as audio, media, and video devices, with innovative teaching methods, can enhance the effectiveness of education, has a potential impact on ESD (S., A. 2023; Zhenya, 2023). Furthermore, sustainable technology and new curricula have to integrate Climate change, with SDGs, into Technology disciplines that emphasize environmental awareness and ethical responsibilities, which focus on urgent strategies and action.\\u0026nbsp;\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003e\\u003cem\\u003eCreativity (C)\\u003c/em\\u003e\\u003c/strong\\u003e\\u003cstrong\\u003e:\\u003cem\\u003e\\u0026nbsp;\\u003c/em\\u003e\\u003c/strong\\u003eCreative problem-solving and critical thinking skills are essential to defining and formulating solutions that support educational (Heilig, J. V, et al., 2010), improve ability and capabilities (Florida, 2010), which have an impact on perception in use of social media \\u0026ldquo;digital natives\\u0026rdquo; (Sheila et al., 2019), and it is effect on environmental innovation practices, promoting green creativity (Song\\u0026nbsp;W\\u0026nbsp;et al., 2020). As well as being\\u0026nbsp;important in addressing climate change,\\u0026nbsp;it not only enables problem-solving but also drives social acceptance of innovation and contributes to mitigation action (Leonard, 2023; Iolanda, 2022).\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003e\\u003cem\\u003eCultural Intelligence (CQ)\\u003c/em\\u003e\\u003c/strong\\u003e\\u003cstrong\\u003e:\\u003c/strong\\u003e growing workforce diversity to adapt effectively in different work settings (McFarlin et al, 2012. Ramsey et al, 2016), and need for cross-cultural competence in institutions (Bartel \\u0026amp; Giannelloni, 2017), this need will cover by training programs, and comprehension systems for values of culture (Earley \\u0026amp; Peterson, 2004), it provides an integrated approach for development of cross-cultural capability which is significant on individual capability, awareness and provide cognitive (CQ, Knowledge), metacognitive (CQ, Strategy), motivational (CQ, Drive) and behavioural (CQ, Action) (Livermore, 2015; MacNab, 2012). Therefore, CQ can directly and indirectly improve Knowledge, enhance skills, and build capacity to strengthen society, affecting the decision-making of individuals on climate action.\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003e\\u003cem\\u003eChange Management (CM)\\u003c/em\\u003e\\u003c/strong\\u003e:\\u003cem\\u003e\\u0026nbsp;\\u003c/em\\u003eis the greatest obstacle due to the lack of interest and concern with sustainability issues and university structures (Walter, 2017).\\u0026nbsp;It plays a crucial role in enhancing ESD to address climate change, and the adoption of a knowledge mindset in HEIs\\u003cstrong\\u003e\\u0026nbsp;\\u003c/strong\\u003e(Muhammad, 2021; Awopegba et al., 2022). It\\u0026apos;s empowering students\\u0026rsquo; collaborations between students and faculty (Jesse, 2020) and innovation in teaching, improving learning methodologies, which prepares students for the complexities of the future job market (Manjula, 2018).\\u0026nbsp;Therefore, environmental challenges and adaptation to environment that innovations (Aoife et al., 2015) influence in the implementation of policies for climate change mitigation action and execute innovation in response to environmental threats (GN et al, 2019).\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003e\\u003cem\\u003eClimate Action (CA)\\u003c/em\\u003e\\u003c/strong\\u003e\\u003cstrong\\u003e:\\u003cem\\u003e\\u0026nbsp;\\u003c/em\\u003e\\u003c/strong\\u003eAll nations have pledged to address climate change and accomplish the 17 SDGs. Climate change and SD governance should be integrated to enhance the efficacy of action and new coordination institutions worldwide (Fuso et al., 2019). Environmental Education in universities can contribute stakeholders in to climate solutions action. As determined by Miloslav (2022) and Christina (2022), Education plays an important role in driving climate action and positively influences Climate Change concern (Christina, 2022). KM approach ensures the climate action is inclusive and effective, ultimately contributing to a more sustainable future (Julia Barrott, 2020).\\u0026nbsp;\\u003c/p\\u003e\"},{\"header\":\"3. Methodology\",\"content\":\"\\u003cp\\u003e\\u003cstrong\\u003e\\u003cem\\u003e3.1. Measurement of Variables\\u003c/em\\u003e\\u003c/strong\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003eThese investigations involved nine constructs in all. These constructs include Value, Skills, Teaching Program, Distance Learning, Technology Innovation, Cultural Intelligence, Change Management, and Climate Action. All variables are taken from the preview\\u0026rsquo;s studies and adjusted to execute in an analysis setting. Besides, A five-point Likert-type scale is utilized to scale the measurements, which ranged from \\u0026ldquo;1 = strongly disagree\\u0026rdquo; to \\u0026ldquo;5 = strongly agree\\u0026rdquo; in their studies, using structural equation modelling (SEM) to execute the relationship among constructs (Gao et al.,\\u0026nbsp;2017; Kanwal et al., 2019).\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003e\\u003cem\\u003e3.2. Data Collection\\u003c/em\\u003e\\u003c/strong\\u003e\\u003cstrong\\u003e\\u0026nbsp;\\u0026amp; Survey\\u003c/strong\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003eFor the analysis of the study objectives, a survey technique is used for data collection. According to Newsted, P. R. (1998),\\u0026nbsp;a survey technique estimates the relationships among variables. Consequently, the dataset is utilized to collect data from the survey using a convenience sampling method. 1200 respondents are targeted, and the questionnaire was distributed to each Top-Five Public and Private University stakeholders (students, teachers, and non-teaching staff) of Punjab, India. Whereas, 1103 respondents were collected from the respondents, and presented with demographic characteristics of all respondents in Table 9.\\u0026nbsp;\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003e\\u003cem\\u003eTable 9.\\u0026nbsp;\\u003c/em\\u003e\\u003c/strong\\u003e\\u003cem\\u003eDemographic characteristics of respondents.\\u003c/em\\u003e\\u003c/p\\u003e\\n\\u003ctable border=\\\"1\\\" cellspacing=\\\"0\\\" cellpadding=\\\"0\\\" width=\\\"100%\\\"\\u003e\\n \\u003ctbody\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd style=\\\"width: 19px;\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eVariables\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd style=\\\"width: 30px;\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eItems\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd style=\\\"width: 20px;\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eFrequency\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd style=\\\"width: 29px;\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eFrequency (%)\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd rowspan=\\\"3\\\" style=\\\"width: 19px;\\\"\\u003e\\n \\u003cp\\u003eUniversities\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 30px;\\\"\\u003e\\n \\u003cp\\u003ePrivate\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 20px;\\\"\\u003e\\n \\u003cp\\u003e393\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 29px;\\\"\\u003e\\n \\u003cp\\u003e35.6\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 30px;\\\"\\u003e\\n \\u003cp\\u003ePublic\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 20px;\\\"\\u003e\\n \\u003cp\\u003e709\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 29px;\\\"\\u003e\\n \\u003cp\\u003e64.3\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 30px;\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eTotal\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 20px;\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003e1103\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 29px;\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003e100.0\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd rowspan=\\\"5\\\" style=\\\"width: 19px;\\\"\\u003e\\n \\u003cp\\u003ePublic University\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 30px;\\\"\\u003e\\n \\u003cp\\u003eCentral University of Punjab\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 20px;\\\"\\u003e\\n \\u003cp\\u003e117\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 29px;\\\"\\u003e\\n \\u003cp\\u003e10.6\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 30px;\\\"\\u003e\\n \\u003cp\\u003eGNDU\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 20px;\\\"\\u003e\\n \\u003cp\\u003e155\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 29px;\\\"\\u003e\\n \\u003cp\\u003e14.1\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 30px;\\\"\\u003e\\n \\u003cp\\u003ePunjab University, Chandigarh\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 20px;\\\"\\u003e\\n \\u003cp\\u003e119\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 29px;\\\"\\u003e\\n \\u003cp\\u003e10.8\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 30px;\\\"\\u003e\\n \\u003cp\\u003ePunjabi University Patiala\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 20px;\\\"\\u003e\\n \\u003cp\\u003e120\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 29px;\\\"\\u003e\\n \\u003cp\\u003e10.9\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 30px;\\\"\\u003e\\n \\u003cp\\u003eJagat Guru Nanak Dev\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 20px;\\\"\\u003e\\n \\u003cp\\u003e102\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 29px;\\\"\\u003e\\n \\u003cp\\u003e9.2\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd rowspan=\\\"6\\\" style=\\\"width: 19px;\\\"\\u003e\\n \\u003cp\\u003ePrivate University\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 30px;\\\"\\u003e\\n \\u003cp\\u003eChitkara University\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 20px;\\\"\\u003e\\n \\u003cp\\u003e120\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 29px;\\\"\\u003e\\n \\u003cp\\u003e10.9\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 30px;\\\"\\u003e\\n \\u003cp\\u003eChandigarh University\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 20px;\\\"\\u003e\\n \\u003cp\\u003e87\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 29px;\\\"\\u003e\\n \\u003cp\\u003e7.9\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 30px;\\\"\\u003e\\n \\u003cp\\u003eDAV University\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 20px;\\\"\\u003e\\n \\u003cp\\u003e95\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 29px;\\\"\\u003e\\n \\u003cp\\u003e8.6\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 30px;\\\"\\u003e\\n \\u003cp\\u003eCT University\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 20px;\\\"\\u003e\\n \\u003cp\\u003e97\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 29px;\\\"\\u003e\\n \\u003cp\\u003e8.8\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 30px;\\\"\\u003e\\n \\u003cp\\u003eAmity University\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 20px;\\\"\\u003e\\n \\u003cp\\u003e91\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 29px;\\\"\\u003e\\n \\u003cp\\u003e8.3\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 30px;\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eTotal\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 20px;\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003e1103\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 29px;\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003e100.0\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd rowspan=\\\"4\\\" style=\\\"width: 19px;\\\"\\u003e\\n \\u003cp\\u003eDesignation\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 30px;\\\"\\u003e\\n \\u003cp\\u003eNon-Teaching Staff\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 20px;\\\"\\u003e\\n \\u003cp\\u003e67\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 29px;\\\"\\u003e\\n \\u003cp\\u003e6.1\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 30px;\\\"\\u003e\\n \\u003cp\\u003eStudent\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 20px;\\\"\\u003e\\n \\u003cp\\u003e955\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 29px;\\\"\\u003e\\n \\u003cp\\u003e86.6\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 30px;\\\"\\u003e\\n \\u003cp\\u003eTeacher\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 20px;\\\"\\u003e\\n \\u003cp\\u003e81\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 29px;\\\"\\u003e\\n \\u003cp\\u003e7.3\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 30px;\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eTotal\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 20px;\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003e1103\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 29px;\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003e100.0\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd rowspan=\\\"5\\\" style=\\\"width: 19px;\\\"\\u003e\\n \\u003cp\\u003eDepartment\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 30px;\\\"\\u003e\\n \\u003cp\\u003eArt \\u0026amp; Humanities\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 20px;\\\"\\u003e\\n \\u003cp\\u003e288\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 29px;\\\"\\u003e\\n \\u003cp\\u003e26.1\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 30px;\\\"\\u003e\\n \\u003cp\\u003eMultidisciplinary\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 20px;\\\"\\u003e\\n \\u003cp\\u003e263\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 29px;\\\"\\u003e\\n \\u003cp\\u003e23.8\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 30px;\\\"\\u003e\\n \\u003cp\\u003eScience\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 20px;\\\"\\u003e\\n \\u003cp\\u003e226\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 29px;\\\"\\u003e\\n \\u003cp\\u003e20.5\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 30px;\\\"\\u003e\\n \\u003cp\\u003eSocial Science\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 20px;\\\"\\u003e\\n \\u003cp\\u003e326\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 29px;\\\"\\u003e\\n \\u003cp\\u003e29.6\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 30px;\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eTotal\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 20px;\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003e1103\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 29px;\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003e100.0\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd rowspan=\\\"3\\\" style=\\\"width: 19px;\\\"\\u003e\\n \\u003cp\\u003eGender\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 30px;\\\"\\u003e\\n \\u003cp\\u003eFemale\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 20px;\\\"\\u003e\\n \\u003cp\\u003e601\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 29px;\\\"\\u003e\\n \\u003cp\\u003e54.5\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 30px;\\\"\\u003e\\n \\u003cp\\u003eMale\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 20px;\\\"\\u003e\\n \\u003cp\\u003e502\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 29px;\\\"\\u003e\\n \\u003cp\\u003e45.5\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 30px;\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eTotal\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 20px;\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003e1103\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 29px;\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003e100.0\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd rowspan=\\\"5\\\" style=\\\"width: 19px;\\\"\\u003e\\n \\u003cp\\u003eAge\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 30px;\\\"\\u003e\\n \\u003cp\\u003e21-30\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 20px;\\\"\\u003e\\n \\u003cp\\u003e778\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 29px;\\\"\\u003e\\n \\u003cp\\u003e70.5\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 30px;\\\"\\u003e\\n \\u003cp\\u003e31-40\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 20px;\\\"\\u003e\\n \\u003cp\\u003e81\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 29px;\\\"\\u003e\\n \\u003cp\\u003e7.3\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 30px;\\\"\\u003e\\n \\u003cp\\u003e41-50\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 20px;\\\"\\u003e\\n \\u003cp\\u003e9\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 29px;\\\"\\u003e\\n \\u003cp\\u003e0.8\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 30px;\\\"\\u003e\\n \\u003cp\\u003eBelow 20\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 20px;\\\"\\u003e\\n \\u003cp\\u003e235\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 29px;\\\"\\u003e\\n \\u003cp\\u003e21.3\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 30px;\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eTotal\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 20px;\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003e1103\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 29px;\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003e100.0\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd rowspan=\\\"4\\\" style=\\\"width: 19px;\\\"\\u003e\\n \\u003cp\\u003eQualification\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 30px;\\\"\\u003e\\n \\u003cp\\u003ePG\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 20px;\\\"\\u003e\\n \\u003cp\\u003e785\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 29px;\\\"\\u003e\\n \\u003cp\\u003e71.2\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 30px;\\\"\\u003e\\n \\u003cp\\u003ePh.D.\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 20px;\\\"\\u003e\\n \\u003cp\\u003e69\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 29px;\\\"\\u003e\\n \\u003cp\\u003e6.3\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 30px;\\\"\\u003e\\n \\u003cp\\u003eUG\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 20px;\\\"\\u003e\\n \\u003cp\\u003e249\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 29px;\\\"\\u003e\\n \\u003cp\\u003e22.6\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 30px;\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eTotal\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 20px;\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003e1103\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 29px;\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003e100.0\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd rowspan=\\\"4\\\" style=\\\"width: 19px;\\\"\\u003e\\n \\u003cp\\u003eAnnual Income\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 30px;\\\"\\u003e\\n \\u003cp\\u003eLess than Rs. 5,00,000\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 20px;\\\"\\u003e\\n \\u003cp\\u003e960\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 29px;\\\"\\u003e\\n \\u003cp\\u003e87.0\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 30px;\\\"\\u003e\\n \\u003cp\\u003eRs. 5,00,001 \\u0026ndash; Rs. 10,00,000\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 20px;\\\"\\u003e\\n \\u003cp\\u003e88\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 29px;\\\"\\u003e\\n \\u003cp\\u003e8.0\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 30px;\\\"\\u003e\\n \\u003cp\\u003eMore than Rs. 10,00,000\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 20px;\\\"\\u003e\\n \\u003cp\\u003e55\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 29px;\\\"\\u003e\\n \\u003cp\\u003e5.0\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 30px;\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eTotal\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 20px;\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003e1103\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 29px;\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003e100.0\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003c/tbody\\u003e\\n\\u003c/table\\u003e\\n\\u003cp\\u003e\\u0026nbsp;\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003e\\u003cem\\u003e3.3. Data Analysis\\u003c/em\\u003e\\u003c/strong\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003eThis investigation provides valuable information on the KM determinant toward sustainable climate action among university stakeholders. As well as respondents were utilized to measure how respondents knowing the KM determinant and how it effects on climate action. Before entering into another steps, it is necessary to check the reliability of the factor loadings. Principal Component Analysis, and it analyzes the KMO and Bartlett\\u0026rsquo;s Test and its components (Table 10). The KMO and Bartlett\\u0026apos;s test indicate, the data are significant,\\u003cspan dir=\\\"RTL\\\"\\u003e\\u0026nbsp;\\u003c/span\\u003eand Cronbach\\u0026apos;s alpha = 0.850 \\u0026gt; 0.70, which means that, data are significant and reliable (Fabrigar et al., 1999; Russell, 2002; Milfont \\u0026amp; Duckitt, 2004). In this case, this study was considered for further analysis to apply the Structural Equation Model (SEM).\\u0026nbsp;\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003e\\u003cem\\u003eTable 10.\\u0026nbsp;\\u003c/em\\u003e\\u003c/strong\\u003e\\u003cem\\u003eKMO and Bartlett\\u0026apos;s Test\\u003c/em\\u003e\\u003c/p\\u003e\\n\\u003ctable border=\\\"1\\\" cellspacing=\\\"0\\\" cellpadding=\\\"0\\\" width=\\\"100%\\\"\\u003e\\n \\u003ctbody\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd colspan=\\\"2\\\" style=\\\"width: 100px;\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eKMO and Bartlett\\u0026apos;s Test\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 81px;\\\"\\u003e\\n \\u003cp\\u003eKaiser-Meyer-Olkin Measure of Sampling Adequacy.\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 18px;\\\"\\u003e\\n \\u003cp\\u003e0.895\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 81px;\\\"\\u003e\\n \\u003cp\\u003eApprox. Chi-Square\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 18px;\\\"\\u003e\\n \\u003cp\\u003e46424.303\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 81px;\\\"\\u003e\\n \\u003cp\\u003eBartlett\\u0026apos;s Test of Sphericity\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 18px;\\\"\\u003e\\n \\u003cp\\u003e990\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 81px;\\\"\\u003e\\n \\u003cp\\u003eSig.\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 18px;\\\"\\u003e\\n \\u003cp\\u003e0.000\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 81px;\\\"\\u003e\\n \\u003cp\\u003eCronbach\\u0026apos;s Alpha\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 18px;\\\"\\u003e\\n \\u003cp\\u003e0.833\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 81px;\\\"\\u003e\\n \\u003cp\\u003eNo. of Items\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 18px;\\\"\\u003e\\n \\u003cp\\u003e45\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003c/tbody\\u003e\\n\\u003c/table\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003e\\u0026nbsp;\\u003c/strong\\u003e\\u003c/p\\u003e\"},{\"header\":\"4.\\tResult of the study\",\"content\":\"\\u003cp\\u003eThis study executes the SEM technique to test the proposed hypotheses. SPSS and Smart-PLS software are utilized to analyze the data. SEM analysis includes two parts: the measurement model and the structural model (Anderson et al., 1988). The measurement model was employed to find reliability and validity, whilst the structural model was used to estimate the relationships among the hypothesised constructs to takeout the study's objectives.\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003e\\u003cem\\u003e4.1.\\u0026nbsp;\\u003c/em\\u003e\\u003c/strong\\u003e\\u003cstrong\\u003e\\u003cem\\u003eMeasurement model, Reliability \\u0026amp; validity\\u003c/em\\u003e\\u003c/strong\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003eThe review studies usually evaluated the measurement models' reliability and validity (Shi, H et al., 2017a). Reliability was assessed based on Cronbach’s alpha and composite reliability (CR). The Cronbach’s alpha is used to test the degree of internal consistency of the indicators in each structure, while CR is employed to define the extent to which a train of items can represent potential constructs. The validity tests include testing convergent validity and discriminant validity (Carmines and Zeller, 1979). The average variance extracted (AVE) and outer loading were used to test the convergent validity of the measurement model. When the square root of the AVE of each construct is greater than the highest squared correlation with another construct, the model has sufficient discriminant validity. To ensure the overall quality of the model, we excluded observation items with Factor Loading less than 0.5 (CA4, CA5, CQ5, CM1, C4, C5, DL5, S5, TI4, TI5, TP3, TP4, V4 \\u0026amp; V5), which were deleted due to low loading value. The final results are indicated in Table 11. While Cronbach’s alpha of KM determinants and Climate Action is more than 0.5, the Cronbach’s alpha, CR, Factor Loading, and AVE of the other latent variables met the requirements. Bagozzi (1988) argued that when CR is greater than 0.7, there is no needy to refer to Cronbach’s alpha value. Therefore, the present model has enough reliability and validity, and discriminant validity based on Fornell-Larcker (Table 12), in which the diagonal values (bold font) are the square root of the AVE, and the other values are the correlation coefficients between the latent variables. The AVE square root of each latent variable was bigger than its correlation with the other latent variables. Hence, the measurement model has discriminant validity that could be further analysis.\\u0026nbsp;\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003eTable 11\\u003c/strong\\u003e. Measurement for Validity and Reliability.\\u003c/p\\u003e\\n\\u003ctable border=\\\"0\\\" cellspacing=\\\"0\\\" cellpadding=\\\"0\\\" width=\\\"100%\\\"\\u003e\\n \\u003ctbody\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eConstruct\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eItems\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003efactor loadings\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eCronbach's alpha\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eCR\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eAVE\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003eClimate Action\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003eCA2\\u003c/p\\u003e\\n \\u003cp\\u003eCA1\\u003c/p\\u003e\\n \\u003cp\\u003eCA3\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e0.940\\u003c/p\\u003e\\n \\u003cp\\u003e0.756\\u003c/p\\u003e\\n \\u003cp\\u003e0.733\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e0.851\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e0.857\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e0.665\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003eCultural Intelligence\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003eCI1\\u003c/p\\u003e\\n \\u003cp\\u003eCI2\\u003c/p\\u003e\\n \\u003cp\\u003eCI3\\u003c/p\\u003e\\n \\u003cp\\u003eCI4\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e0.929\\u003c/p\\u003e\\n \\u003cp\\u003e0.975\\u003c/p\\u003e\\n \\u003cp\\u003e0.963\\u003c/p\\u003e\\n \\u003cp\\u003e0.939\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e0.974\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e0.975\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e0.906\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003eChange Management\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003eCM2\\u003c/p\\u003e\\n \\u003cp\\u003eCM3\\u003c/p\\u003e\\n \\u003cp\\u003eCM4\\u003c/p\\u003e\\n \\u003cp\\u003eCM5\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e0.861\\u003c/p\\u003e\\n \\u003cp\\u003e0.915\\u003c/p\\u003e\\n \\u003cp\\u003e0.911\\u003c/p\\u003e\\n \\u003cp\\u003e0.811\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e0.928\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e0.930\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e0.767\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003eCreativity\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003eC1\\u003c/p\\u003e\\n \\u003cp\\u003eC2\\u003c/p\\u003e\\n \\u003cp\\u003eC3\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e0.845\\u003c/p\\u003e\\n \\u003cp\\u003e0.817\\u003c/p\\u003e\\n \\u003cp\\u003e0.878\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e0.883\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e0.883\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e0.718\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003eDistance Learning \\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003eDL2\\u003c/p\\u003e\\n \\u003cp\\u003eDL3\\u003c/p\\u003e\\n \\u003cp\\u003eDL4\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e0.766\\u003c/p\\u003e\\n \\u003cp\\u003e0.939\\u003c/p\\u003e\\n \\u003cp\\u003e0.911\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e0.902\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e0.905\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e0.766\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003eSkills\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003eS1\\u003c/p\\u003e\\n \\u003cp\\u003eS2\\u003c/p\\u003e\\n \\u003cp\\u003eS3\\u003c/p\\u003e\\n \\u003cp\\u003eS4\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e0.878\\u003c/p\\u003e\\n \\u003cp\\u003e0.931\\u003c/p\\u003e\\n \\u003cp\\u003e0.894\\u003c/p\\u003e\\n \\u003cp\\u003e0.881\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e0.942\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e0.943\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e0.803\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003eTechnological Innovation \\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003eTI1\\u003c/p\\u003e\\n \\u003cp\\u003eTI2\\u003c/p\\u003e\\n \\u003cp\\u003eTI3\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e0.827\\u003c/p\\u003e\\n \\u003cp\\u003e0.866\\u003c/p\\u003e\\n \\u003cp\\u003e0.875\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e0.891\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e0.891\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e0.733\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003eTeaching Program\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003eTP1\\u003c/p\\u003e\\n \\u003cp\\u003eTP2\\u003c/p\\u003e\\n \\u003cp\\u003eTP5\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e0.923\\u003c/p\\u003e\\n \\u003cp\\u003e0.730\\u003c/p\\u003e\\n \\u003cp\\u003e0.828\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e0.861\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e0.864\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e0.690\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003eValue\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003eV1\\u003c/p\\u003e\\n \\u003cp\\u003eV2\\u003c/p\\u003e\\n \\u003cp\\u003eV3\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e0.794\\u003c/p\\u003e\\n \\u003cp\\u003e0.822\\u003c/p\\u003e\\n \\u003cp\\u003e0.922\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e0.882\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e0.884\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e0.718\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003c/tbody\\u003e\\n\\u003c/table\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003eTable 12.\\u0026nbsp;\\u003c/strong\\u003eDiscriminant Validity (Fornell-Larcker).\\u003c/p\\u003e\\n\\u003ctable border=\\\"0\\\" cellspacing=\\\"0\\\" cellpadding=\\\"0\\\" width=\\\"100%\\\"\\u003e\\n \\u003ctbody\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eConstruct\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eCA\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eCI\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eCM\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eC\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eDL\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eS\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eTI\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eTP\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eV\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd valign=\\\"top\\\"\\u003e\\n \\u003cp\\u003eClimate Action\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003e0.815\\u0026nbsp;\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003ctd\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003ctd\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003ctd\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003ctd\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003ctd\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003ctd\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003ctd\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd valign=\\\"top\\\"\\u003e\\n \\u003cp\\u003eCultural Intelligence\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e0.504\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003e0.952\\u0026nbsp;\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003ctd\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003ctd\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003ctd\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003ctd\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003ctd\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003ctd\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd valign=\\\"top\\\"\\u003e\\n \\u003cp\\u003eChange Management\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e-0.214\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e-0.477\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003e0.876\\u0026nbsp;\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003ctd\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003ctd\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003ctd\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003ctd\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003ctd\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd valign=\\\"top\\\"\\u003e\\n \\u003cp\\u003eCreativity\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e-0.143\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e-0.205\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e0.334\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003e0.847\\u0026nbsp;\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003ctd\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003ctd\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003ctd\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003ctd\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd valign=\\\"top\\\"\\u003e\\n \\u003cp\\u003eDistance Learning \\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e-0.108\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e-0.158\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e0.292\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e0.531\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003e0.875\\u0026nbsp;\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003ctd\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003ctd\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003ctd\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd valign=\\\"top\\\"\\u003e\\n \\u003cp\\u003eSkills\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e0.138\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e0.549\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e-0.565\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e-0.051\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e-0.021\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003e0.896\\u0026nbsp;\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003ctd\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003ctd\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd valign=\\\"top\\\"\\u003e\\n \\u003cp\\u003eTechnological Innovation \\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e0.194\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e0.451\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e-0.541\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e-0.051\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e-0.003\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e0.698\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003e0.856\\u0026nbsp;\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003ctd\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd valign=\\\"top\\\"\\u003e\\n \\u003cp\\u003eTeaching Program\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e-0.076\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e-0.223\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e0.433\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e0.356\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e0.355\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e-0.251\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e-0.109\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003e0.831\\u0026nbsp;\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\u003cbr\\u003e\\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd valign=\\\"top\\\"\\u003e\\n \\u003cp\\u003eValue\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e-0.036\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e-0.090\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e0.132\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e0.678\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e0.396\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e0.097\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e0.050\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e0.206\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003e0.848\\u0026nbsp;\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003c/tbody\\u003e\\n\\u003c/table\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003e\\u003cem\\u003e4.2.\\u0026nbsp;\\u003c/em\\u003e\\u003c/strong\\u003e\\u003cstrong\\u003e\\u003cem\\u003eStructural Model\\u003c/em\\u003e\\u003c/strong\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003eBefore assessing the structural model, it is necessary to check the collinearity of the structural model because, if there is a significant level of collinearity between different latent variables, the path coefficient could be biased (Hair et al., 2012a, b; Petter et al., 2007). Based on the PLS algorithm, we achieved the determinant coefficients KM determinants, which showed the quantity of the variance interpreted by the independent variables and indicated the explanatory ability (Fernando and Hor, 2017). In the extended model, the KM determinants and Climate Action are respectively, indicating that the proposed model has good predictive accuracy, and the fit index measures, criteria, and expected structural model are presented (Table 13).\\u0026nbsp;\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003e\\u003cem\\u003eTable 13.\\u003c/em\\u003e\\u003c/strong\\u003e\\u003cem\\u003e\\u0026nbsp;Fit Measure for Structural Model.\\u003c/em\\u003e\\u003c/p\\u003e\\n\\u003ctable border=\\\"1\\\" cellspacing=\\\"0\\\" cellpadding=\\\"0\\\" width=\\\"100%\\\"\\u003e\\n \\u003ctbody\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eMeasurement\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eIndex\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eCriteria\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eAuthors\\u0026nbsp;\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eStructural Model\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd rowspan=\\\"3\\\"\\u003e\\n \\u003cp\\u003eAbsolute fit measures\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\"\\u003e\\n \\u003cp\\u003eRMSEA\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\"\\u003e\\n \\u003cp\\u003e≤ 0.1\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd rowspan=\\\"2\\\"\\u003e\\n \\u003cp\\u003e(Azizi, M at el., 2025; Ocakoğlu, O. et al.,2025),\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\"\\u003e\\n \\u003cp\\u003e0.058\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd valign=\\\"top\\\"\\u003e\\n \\u003cp\\u003eGFI\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\"\\u003e\\n \\u003cp\\u003e\\u0026gt;0.90\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\"\\u003e\\n \\u003cp\\u003e0.907\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd valign=\\\"top\\\"\\u003e\\n \\u003cp\\u003eAGFI\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\"\\u003e\\n \\u003cp\\u003e\\u0026gt;0.80\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd rowspan=\\\"3\\\"\\u003e\\n \\u003cp\\u003e(Azizi, M at el., 2025; Ocakoğlu, O. et al.,2025),\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\"\\u003e\\n \\u003cp\\u003e0.883\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd rowspan=\\\"4\\\"\\u003e\\n \\u003cp\\u003eIncremental fit measure\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\"\\u003e\\n \\u003cp\\u003eCFI\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\"\\u003e\\n \\u003cp\\u003e\\u0026gt;0.90\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\"\\u003e\\n \\u003cp\\u003e0.953\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd valign=\\\"top\\\"\\u003e\\n \\u003cp\\u003eNFI\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\"\\u003e\\n \\u003cp\\u003e\\u0026gt;0.90\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\"\\u003e\\n \\u003cp\\u003e0.942\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd valign=\\\"top\\\"\\u003e\\n \\u003cp\\u003eTLI\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\"\\u003e\\n \\u003cp\\u003e\\u0026gt;0.90\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\"\\u003e\\n \\u003cp\\u003e(Li, J. et al., 3021)\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\"\\u003e\\n \\u003cp\\u003e0.945\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd valign=\\\"top\\\"\\u003e\\n \\u003cp\\u003eCMIN/DF\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\"\\u003e\\n \\u003cp\\u003e\\u0026lt;5.00\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\"\\u003e\\n \\u003cp\\u003e(Azizi, M at el., 2025; Ocakoğlu, O. et al.,2025),\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\"\\u003e\\n \\u003cp\\u003e4.764\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd valign=\\\"top\\\"\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\"\\u003e\\n \\u003cp\\u003eSRMR\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\"\\u003e\\n \\u003cp\\u003e\\u0026lt;0.08\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\"\\u003e\\n \\u003cp\\u003e(Azizi, M at el., 2025; Ocakoğlu, O. et al.,2025),\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\"\\u003e\\n \\u003cp\\u003e0.047\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003c/tbody\\u003e\\n\\u003c/table\\u003e\\n\\u003cp\\u003eThe study output results are shown in Fig. 2, and the corresponding path coefficients, T-values, and P-values are provided in Table 14.\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003eTable 14.\\u003c/strong\\u003e Path analysis and significance verification of the structural models.\\u003c/p\\u003e\\n\\u003ctable border=\\\"0\\\" cellspacing=\\\"0\\\" cellpadding=\\\"0\\\" width=\\\"97%\\\"\\u003e\\n \\u003ctbody\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd rowspan=\\\"2\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eConstructs\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd colspan=\\\"3\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eParameters of the Significance Test\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd rowspan=\\\"2\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eHypothesis\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003ePath Coefficient\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eT statistics (|O/STDEV|)\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eP values\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003eCreativity -\\u0026gt; Climate Action\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e-0.105\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e1.983\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e0.048\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003eSignificant\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003eCultural Intelligence -\\u0026gt; Climate Action\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e0.492\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e19.148\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e0.000\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003eSignificant\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003eChange Management -\\u0026gt; Climate Action\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e-0.018\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e0.464\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e0.643\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003eInsignificant\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003eDistance Learning -\\u0026gt; Climate Action\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e-0.014\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e0.349\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e0.727\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003eInsignificant\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003eSkills -\\u0026gt; Climate Action\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e-0.283\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e5.287\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e0.000\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003eSignificant\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003eTechnological Innovation -\\u0026gt; Climate Action\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e0.096\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e1.976\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e0.049\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003eSignificant\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003eTeaching Program -\\u0026gt; Climate Action\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e0.030\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e0.673\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e0.501\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003eInsignificant\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003eValue -\\u0026gt; Climate Action\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e0.135\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e2.513\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e0.012\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003eSignificant\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003eR-Square -\\u0026gt; Climate Action\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e0.295\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e11.680\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003e0.000\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd\\u003e\\n \\u003cp\\u003eSignificant\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003c/tbody\\u003e\\n\\u003c/table\\u003e\\n\\u003cp\\u003eSignificant at: *P \\u0026lt; 0.05,\\u0026nbsp;\\u003c/p\\u003e\\n\\u003cp\\u003eBased on the hypothesis verification results indicated in Table 14, Value has a significant relationship with Climate Action (H1: \\u003cem\\u003eβ\\u003c/em\\u003e=0.135, T=2.513, P=0.012 \\u0026lt; 0.05), H1 is significant and supports the model. Skill has a significant relationship on Climate Action (H2: \\u003cem\\u003eβ\\u003c/em\\u003e=-0.283, T=5.287, P= 0.000 3\\u0026lt; 0.05), H2 is also significant and supported study. The Teaching Program has a significant relationship with Climate Action (H3: β=0.030, T=2.513, P=0.501 \\u0026gt; 0.05), H3 is positive but insignificant. The relationship of Distance Learning on Climate Action \\u003cem\\u003e(H4: β=-0.014, T=0.349, P=\\u003c/em\\u003e0.727\\u003cem\\u003e\\u0026nbsp;\\u0026gt; 0.05);\\u003c/em\\u003e hence, H4 is also insignificant. The relationship of Creativity on Climate Action (\\u003cem\\u003eH5: β=-0.105, T=1.983, P=\\u003c/em\\u003e0.048\\u003cem\\u003e\\u0026lt; 0.05);\\u003c/em\\u003e therefore, H5 is significant and supports the study. Additionally, the relationship of Cultural Intelligence with Climate Action (\\u003cem\\u003eH6: β=0.492, T=19.148, P=0.000 \\u0026lt; 0.05),\\u0026nbsp;\\u003c/em\\u003eH6 is significant. Besides, Technological Innovation has a significant relationship with Climate Action (H7: \\u003cem\\u003e\\u0026nbsp;β=0.096, T=1.976, P=\\u003c/em\\u003e0.049\\u003cem\\u003e\\u0026lt;0.05).\\u0026nbsp;\\u003c/em\\u003eH7 is positively significant\\u003cem\\u003e.\\u0026nbsp;\\u003c/em\\u003eFinally, the relationship of Change Management on Climate Action \\u003cem\\u003e(H8: β=-0.018,\\u0026nbsp;\\u003c/em\\u003eT\\u003cem\\u003e=0.464,\\u003c/em\\u003e P\\u003cem\\u003e=\\u003c/em\\u003e0.643\\u003cem\\u003e\\u0026nbsp;\\u0026gt;0.05)\\u003c/em\\u003e; Therefore, H8 resulted in a relationship that is insignificant. To sum up, five hypotheses are significant and support the structural Model, but 3 hypotheses are insignificant.\\u003c/p\\u003e\"},{\"header\":\"5.\\tFinding of the Study\",\"content\":\"\\u003cp\\u003eThis investigation has been assessed, and the results of the hypothesized model indicate that H1, H2, H5, H6, and H7 are significant (p \\u0026lt; 0.05) and support the study. Thus, all hypothesized estimations suggest that the respondents (university stakeholders) were familiar with and understood the terms of Value, Skills, Cultural Intelligence, Technological Innovation, and Creativity. Precisely, climate action is not only a technical or policy issue but also a normative one, rooted in collective beliefs about justice, responsibility, and sustainability. This alignment between values and climate action strengthens public trust, enhances behavioral change, and increases the likelihood of effective implementation. Besides, Skills have a significant relationship with climate action because they constitute the practical capacity through which values and knowledge are translated into effective environmental behavior. For example, according to Goldwert, D. et al (2025), skills in renewable energy engineering, data analysis, community mobilization, and policy negotiation directly influence the feasibility and impact of mitigation and adaptation measures. Thus, climate action briefs that integrate skill-building not only strengthen institutional capacity but also ensure that commitments are actionable, scalable, and inclusive (Goldwert, D. et al., 2025). For these purposes, skill measures outcomes, reinforcing the credibility and sustainability of climate action. Also, Cultural Intelligence is significant because it enables diverse communities and institutions to collaborate effectively across cultural boundaries, ensuring that climate strategies are both inclusive and contextually relevant. For example, high levels of cultural intelligence foster intercultural sensitivity, trust, and adaptive communication, which are essential for mobilizing collective action and avoiding the \\u0026ldquo;culture gap\\u0026rdquo; that often undermines climate policies (Maggs, Robinson, \\u0026amp; Butters, 2025). Integrating local knowledge systems with scientific expertise produces more just, equitable, and sustainable climate responses (Lazrus, H. et al., 2022). Thus, embedding cultural intelligence into climate action briefs enhances resilience, inclusivity, and the long-term effectiveness of mitigation and adaptation measures. Moreover,\\u0026nbsp;Technological innovation and creativity have a significant relationship with climate action because they provide the tools and imaginative approaches necessary to design, scale, and sustain effective mitigation and adaptation strategies. Review shows that technological creativity accelerates transitions toward low-carbon economies by enabling breakthroughs in efficiency and resource management, particularly when combined with participatory governance and interdisciplinary collaboration (Geels, F. W. et al., 2017).\\u003c/p\\u003e\\n\\u003cp\\u003eIn contrast, the Hypotheses H3, H4, and H8 are \\u0026gt; 0.05 but insignificant do not find a significant relationship with climate action because their primary focus lies in educational delivery and organizational adaptation rather than direct environmental mitigation or policy implementation. While these approaches can enhance awareness and provide platforms for knowledge dissemination, and often remain disconnected from measurable climate outcomes. For instance, teacher education reforms and digital learning innovations emphasize pedagogical transformation but lack systematic integration with climate action frameworks, resulting in limited impact on emissions reduction or adaptation strategies (Morales-Aguilar et al., 2025). Similarly, change management in educational institutions tends to prioritize organizational efficiency and stakeholder alignment rather than embedding climate-specific competencies, thereby weakening its direct relevance to climate action (Muccione, Ewen, \\u0026amp; Vaghefi, 2025). Distance learning, though valuable for accessibility, has been critiqued for its inability to foster the hands-on skills and community-based practices necessary for climate resilience (Muccione, V. et al., 2024). Thus, while these domains contribute indirectly to climate awareness, they do not demonstrate a statistically or substantively significant relationship with climate action outcomes.\\u003c/p\\u003e\\n\\u003cp\\u003eIn conclusion, KM determinants among university stakeholders in Punjab demonstrate that effective climate action is contingent not merely on awareness but on the systematic mobilization of knowledge resources. Determinants such as technological infrastructure, organizational culture, leadership, stakeholder engagement, and others collectively shape institutions\\u0026apos; absorptive capacity to translate knowledge into sustainable practices. When fixed within higher education governance, these determinants foster innovation, interdisciplinary collaboration, and resilience, thereby aligning academic ecosystems with a broader climate satisfactory (Nonaka \\u0026amp; von Krogh, 2009; Etzkowitz \\u0026amp; Zhou, 2017). Importantly, the findings underscore that KM is not an essential enabler but a strategic driver of climate action, ensuring that universities act as knowledge hubs capable of influencing both local adaptation and global sustainability agendas (Geels, 2014), as declared in Conference of Parties (COP), to facilitate organization and governance via climate change funds like GCF, to increase their knowedge, capacity of resilience, policies and awareness in the community (Muradi \\u0026amp; Sandhu, 2023). Thus, reinforcing KM determinants in Punjab\\u0026rsquo;s universities needs to provide a pathway to manage climate-responsive education and research in different sources to bridge the gap in policy commitments and with actionable outcomes (Senge, Hamilton, \\u0026amp; Kania, 2015).\\u003c/p\\u003e\"},{\"header\":\"6.\\tImplications and Suggestions\",\"content\":\"\\u003cp\\u003eThe findings imply that strengthening KM determinants among university stakeholders is critical for translating climate awareness into actionable strategies. When technological infrastructure, organizational culture, leadership, and stakeholder engagement are systematically embedded within higher education governance, universities can act as catalysts for climate-responsive innovation and policy alignment (Table 14). Also, this study suggests that universities in Punjab can deliberately integrate knowledge management (KM) determinants into their institutional frameworks to increase climate action capacity (Table 15).\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003eTable 14.\\u003c/strong\\u003e Implication of the Study.\\u0026nbsp;\\u003c/p\\u003e\\n\\u003ctable border=\\\"1\\\" cellspacing=\\\"0\\\" cellpadding=\\\"0\\\" width=\\\"100%\\\"\\u003e\\n \\u003ctbody\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd style=\\\"width: 20px;\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eImplication\\u0026nbsp;\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd style=\\\"width: 57px;\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eDiscerptions\\u0026nbsp;\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd style=\\\"width: 21px;\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eCitations\\u0026nbsp;\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 20px;\\\"\\u003e\\n \\u003cp\\u003e\\u0026nbsp;\\u003c/p\\u003e\\n \\u003cp\\u003eTechnological Infrastructure\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 57px;\\\"\\u003e\\n \\u003cp\\u003e\\u0026nbsp;\\u003c/p\\u003e\\n \\u003cp\\u003e▪ Investment in digital platforms, data repositories, and knowledge-sharing systems enhances universities\\u0026rsquo; absorptive capacity, enabling stakeholders to translate climate knowledge into actionable strategies.\\u003c/p\\u003e\\n \\u003cp\\u003e\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 21px;\\\"\\u003e\\n \\u003cp\\u003e\\u0026nbsp;\\u003c/p\\u003e\\n \\u003cp\\u003e▪ Nonaka \\u0026amp; von Krogh, 2009.\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 20px;\\\"\\u003e\\n \\u003cp\\u003e\\u0026nbsp;\\u003c/p\\u003e\\n \\u003cp\\u003eOrganizational Culture\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 57px;\\\"\\u003e\\n \\u003cp\\u003e\\u0026nbsp;\\u003c/p\\u003e\\n \\u003cp\\u003e▪ A culture that values sustainability and collaborative learning fosters interdisciplinary engagement, ensuring that climate action is embedded in institutional practices rather than treated as peripheral.\\u003c/p\\u003e\\n \\u003cp\\u003e\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 21px;\\\"\\u003e\\n \\u003cp\\u003e\\u0026nbsp;\\u003c/p\\u003e\\n \\u003cp\\u003e▪ Etzkowitz \\u0026amp; Zhou, 2017.\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 20px;\\\"\\u003e\\n \\u003cp\\u003e\\u0026nbsp;\\u003c/p\\u003e\\n \\u003cp\\u003eLeadership and Governance\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 57px;\\\"\\u003e\\n \\u003cp\\u003e\\u0026nbsp;\\u003c/p\\u003e\\n \\u003cp\\u003e▪ Strong leadership committed to knowledge management creates alignment between institutional priorities and climate imperatives, positioning universities as strategic hubs for climate-responsive innovation.\\u003c/p\\u003e\\n \\u003cp\\u003e\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 21px;\\\"\\u003e\\n \\u003cp\\u003e\\u0026nbsp;\\u003c/p\\u003e\\n \\u003cp\\u003e▪ Senge, Hamilton, \\u0026amp; Kania, 2015.\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 20px;\\\"\\u003e\\n \\u003cp\\u003e\\u0026nbsp;\\u003c/p\\u003e\\n \\u003cp\\u003eStakeholder Engagement\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 57px;\\\"\\u003e\\n \\u003cp\\u003e\\u0026nbsp;\\u003c/p\\u003e\\n \\u003cp\\u003e▪ Active involvement of students, faculty, and external partners strengthens participatory governance, bridging local adaptation needs with global sustainability agendas.\\u003c/p\\u003e\\n \\u003cp\\u003e\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 21px;\\\"\\u003e\\n \\u003cp\\u003e\\u0026nbsp;\\u003c/p\\u003e\\n \\u003cp\\u003e▪ Geels, 2014.\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 20px;\\\"\\u003e\\n \\u003cp\\u003e\\u0026nbsp;\\u003c/p\\u003e\\n \\u003cp\\u003ePolicy Integration\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 57px;\\\"\\u003e\\n \\u003cp\\u003e\\u0026nbsp;\\u003c/p\\u003e\\n \\u003cp\\u003e▪ Embedding KM determinants into higher education policy reforms ensures that climate action commitments move beyond symbolic declarations toward measurable and scalable outcomes.\\u003c/p\\u003e\\n \\u003cp\\u003e\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 21px;\\\"\\u003e\\n \\u003cp\\u003e\\u0026nbsp;\\u003c/p\\u003e\\n \\u003cp\\u003e▪ Etzkowitz \\u0026amp; Zhou, 2017.\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003c/tbody\\u003e\\n\\u003c/table\\u003e\\n\\u003cp\\u003e\\u0026nbsp;\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003eTable 15.\\u0026nbsp;\\u003c/strong\\u003eSuggestions of the study.\\u003cstrong\\u003e\\u0026nbsp;\\u003c/strong\\u003e\\u003c/p\\u003e\\n\\u003ctable border=\\\"1\\\" cellspacing=\\\"0\\\" cellpadding=\\\"0\\\" width=\\\"100%\\\"\\u003e\\n \\u003ctbody\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd style=\\\"width: 22px;\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eSuggestions\\u0026nbsp;\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd style=\\\"width: 58px;\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eDiscerptions\\u0026nbsp;\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd style=\\\"width: 18px;\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eCitations\\u0026nbsp;\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 22px;\\\"\\u003e\\n \\u003cp\\u003e\\u0026nbsp;\\u003c/p\\u003e\\n \\u003cp\\u003eIntegrate KM into Climate Policy Frameworks\\u003c/p\\u003e\\n \\u003cp\\u003e\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 58px;\\\"\\u003e\\n \\u003cp\\u003e\\u0026nbsp;\\u003c/p\\u003e\\n \\u003cp\\u003e▪ Universities should embed knowledge management practices directly into institutional climate policies, ensuring that climate action is not treated as an add‑on but as a core governance priority.\\u003c/p\\u003e\\n \\u003cp\\u003e\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 18px;\\\"\\u003e\\n \\u003cp\\u003e\\u0026nbsp;\\u003c/p\\u003e\\n \\u003cp\\u003e▪ Geels, 2014.\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 22px;\\\"\\u003e\\n \\u003cp\\u003e\\u0026nbsp;\\u003c/p\\u003e\\n \\u003cp\\u003eStrengthen Digital and Technological Infrastructure\\u003c/p\\u003e\\n \\u003cp\\u003e\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 58px;\\\"\\u003e\\n \\u003cp\\u003e\\u0026nbsp;\\u003c/p\\u003e\\n \\u003cp\\u003e▪ Investment in digital repositories, open‑access platforms, and data analytics tools will enhance absorptive capacity and allow stakeholders to translate climate knowledge into measurable outcomes\\u0026nbsp;\\u003c/p\\u003e\\n \\u003cp\\u003e\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 18px;\\\"\\u003e\\n \\u003cp\\u003e\\u0026nbsp;\\u003c/p\\u003e\\n \\u003cp\\u003e▪ Nonaka \\u0026amp; von Krogh, 2009.\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 22px;\\\"\\u003e\\n \\u003cp\\u003e\\u0026nbsp;\\u003c/p\\u003e\\n \\u003cp\\u003eFoster Interdisciplinary Collaboration\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 58px;\\\"\\u003e\\n \\u003cp\\u003e\\u0026nbsp;\\u003c/p\\u003e\\n \\u003cp\\u003e▪ Climate action requires bridging engineering, social sciences, and policy studies. KM systems should be designed to facilitate cross‑disciplinary knowledge exchange and joint research initiatives\\u0026nbsp;\\u003c/p\\u003e\\n \\u003cp\\u003e\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 18px;\\\"\\u003e\\n \\u003cp\\u003e\\u0026nbsp;\\u003c/p\\u003e\\n \\u003cp\\u003e▪ Etzkowitz \\u0026amp; Zhou, 2017.\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 22px;\\\"\\u003e\\n \\u003cp\\u003e\\u0026nbsp;\\u003c/p\\u003e\\n \\u003cp\\u003ePromote Leadership in Knowledge Stewardship\\u003c/p\\u003e\\n \\u003cp\\u003e\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 58px;\\\"\\u003e\\n \\u003cp\\u003e\\u0026nbsp;\\u003c/p\\u003e\\n \\u003cp\\u003e▪ University leaders should act as system stewards, aligning institutional priorities with sustainability goals and fostering a culture of climate‑responsive innovation\\u0026nbsp;\\u003c/p\\u003e\\n \\u003cp\\u003e\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 18px;\\\"\\u003e\\n \\u003cp\\u003e\\u0026nbsp;\\u003c/p\\u003e\\n \\u003cp\\u003e▪ Senge, Hamilton, \\u0026amp; Kania, 2015.\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 22px;\\\"\\u003e\\n \\u003cp\\u003e\\u0026nbsp;\\u003c/p\\u003e\\n \\u003cp\\u003eEnhance Stakeholder Engagement\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 58px;\\\"\\u003e\\n \\u003cp\\u003e\\u0026nbsp;\\u003c/p\\u003e\\n \\u003cp\\u003e▪ Active participation of students, faculty, and external partners in KM processes ensures inclusivity and legitimacy, strengthening the link between local adaptation needs and global climate agendas.\\u003c/p\\u003e\\n \\u003cp\\u003e\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 18px;\\\"\\u003e\\n \\u003cp\\u003e\\u0026nbsp;\\u003c/p\\u003e\\n \\u003cp\\u003e▪ Etzkowitz \\u0026amp; Zhou, 2017.\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 22px;\\\"\\u003e\\n \\u003cp\\u003e\\u0026nbsp;\\u003c/p\\u003e\\n \\u003cp\\u003eInstitutionalize KM Training Programs\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 58px;\\\"\\u003e\\n \\u003cp\\u003e\\u0026nbsp;\\u003c/p\\u003e\\n \\u003cp\\u003e▪ Structured training on knowledge sharing, climate literacy, and innovation management will build long‑term capacity among stakeholders, embedding KM as a determinant of climate resilience.\\u0026nbsp;\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd valign=\\\"top\\\" style=\\\"width: 18px;\\\"\\u003e\\n \\u003cp\\u003e\\u0026nbsp;\\u003c/p\\u003e\\n \\u003cp\\u003e▪ Nonaka \\u0026amp; von Krogh, 2009.\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003c/tbody\\u003e\\n\\u003c/table\\u003e\\n\\u003cp\\u003e\\u0026nbsp;\\u003c/p\\u003e\"},{\"header\":\"References\",\"content\":\"\\u003col\\u003e\\n \\u003cli\\u003eAnderson, J. C., \\u0026amp; Gerbing, D. W. (1988). \\u003cem\\u003eStructural equation modeling in practice: A review and recommended two-step approach\\u003c/em\\u003e. Psychological Bulletin, 103(3), 411\\u0026ndash;423. https://doi.org/10.1037/0033-2909.103.3.411\\u0026nbsp;\\u003c/li\\u003e\\n \\u003cli\\u003eAlavi, M., \\u0026amp; Leidner, D. E. (2001). \\u003cem\\u003eReview: Knowledge Management and Knowledge Management Systems: Conceptual Foundations and Research Issues\\u003c/em\\u003e. MIS Quarterly, 25(1), 107-136. https://doi.org/10.2307/3250961 \\u0026nbsp;\\u0026nbsp;\\u003c/li\\u003e\\n \\u003cli\\u003eAoife, Brophy, Haney. (2015). \\u003cem\\u003eManagerial interpretation and innovation in the context of climate change\\u003c/em\\u003e. Research Papers in Economics. https://Doi:10.17863/CAM.5809\\u0026nbsp;\\u003c/li\\u003e\\n \\u003cli\\u003eAwopegba, T., M.., Fayose, C., A.., Adeboye, K., A. (2022). \\u003cem\\u003eCrop management innovations for climate change resilience in the post-pandemic era: a review\\u003c/em\\u003e. International journal of agriculture and environmental research. https://doi:10.51193/ijaer.2022.8604\\u003c/li\\u003e\\n \\u003cli\\u003eAzizi, M., Fathollahzadeh, F., Nazeri, A., Erfanian, M., Baghban, A. A., Dibajnia, P., ... \\u0026amp; Aazh, H. (2025). Hyperacusis impact questionnaire: translation and psychometric evaluation of the Persian version. \\u003cem\\u003eInternational Journal of Audiology\\u003c/em\\u003e, 1-4.\\u0026nbsp;https://doi.org/10.1080/14992027.2025.2549463\\u0026nbsp;\\u003c/li\\u003e\\n \\u003cli\\u003eBagozzi, R.R., 1988. On the evaluation of structural equation models. J. Acad. Mark. Sci. 16, 74\\u0026ndash;94. https://doi.org/10.1177/009207038801600107.\\u003c/li\\u003e\\n \\u003cli\\u003e\\u003cem\\u003eBoeters S, Elzen MGJ den, Manders T, Veenendaal P, Verweij G - Elzen MGJ den (2007).\\u003c/em\\u003e Post-2012 Climate Policy Scenarios.\\u0026nbsp;\\u003cem\\u003eAccessed 20 Dec. 2024\\u003c/em\\u003e\\u003cem\\u003e. Available at: https://www.pbl.nl/en/publications/post-2012-climate-policy-scenarios?form=MG0AV3#authors\\u003c/em\\u003e\\u003c/li\\u003e\\n \\u003cli\\u003eBartel-Radic, A., \\u0026amp; Giannelloni, J. L. (2017). A renewed perspective on the measurement of cross-cultural competence: An approach through personality traits and cross-cultural knowledge. European Management Journal, 35(5), 632\\u0026ndash;644. https://doi.org/10.1016/j.emj.2017.02.003.\\u003c/li\\u003e\\n \\u003cli\\u003eBarnett, C. L., Sydnor, S., \\u0026amp; Armstrong, D. J. (2019). \\u003cem\\u003eTransformative learning through knowledge management in SMEs\\u003c/em\\u003e. International Journal of Entrepreneurial Behavior \\u0026amp; Research, 25(1), 52-71. https://doi.org/10.1108/IJEBR-04-2018-0181 \\u0026nbsp;\\u003c/li\\u003e\\n \\u003cli\\u003e\\u003cem\\u003eBarrott, J., Bharwani, S., \\u0026amp; Brandon, K. (2020).\\u0026nbsp;\\u003c/em\\u003eTransforming knowledge management for climate action: a road map for accelerated discovery and learning\\u003cem\\u003e.\\u0026nbsp;PLACARD Project Available at: www. placard-network. eu (accessed September 5, 2021).\\u003c/em\\u003e\\u003c/li\\u003e\\n \\u003cli\\u003eBarbara, Borusiak., Andrzej, Szymkowiak., Bartłomiej, Pierański., Katarzyna, Szalonka. (2021). The Impact of Environmental Concern on Intention to Reduce Consumption of Single-Use Bottled Water. Energies, https://Doi:10.3390/EN14071985\\u0026nbsp;\\u003c/li\\u003e\\n \\u003cli\\u003e\\u003cem\\u003eBazazzadeh, H., Pourahmadi, B., Safaei, S. S. H., \\u0026amp; Berardi, U. (2022).\\u0026nbsp;\\u003c/em\\u003eUrban scale climate change adaptation through smart technologies.\\u0026nbsp;Urban Climate Adaptation and Mitigation\\u003cem\\u003e; Sharifi, A., Khavarian Garmsir, A., Eds.\\u003c/em\\u003e\\u003c/li\\u003e\\n \\u003cli\\u003eCarmines, E.G., Zeller, R.A., 1979. Reliability and Validity Assessment. Sage Publications.\\u003c/li\\u003e\\n \\u003cli\\u003eCharband, Y.\\u0026nbsp;and\\u0026nbsp;Jafari Navimipour, N.\\u0026nbsp;(2018), \\u0026quot;Knowledge sharing mechanisms in the education: A systematic review of the state of the art literature and recommendations for future research\\u0026quot;,\\u0026nbsp;Kybernetes, Vol. 47 No. 7, pp. 1456-1490.\\u0026nbsp;https://doi.org/10.1108/K-06-2017-0227\\u003c/li\\u003e\\n \\u003cli\\u003eChristina, Kwauk. (2022). \\u003cem\\u003eTransforming Education for Climate Action: Report to Commonwealth Ministers of Education\\u003c/em\\u003e. \\u0026nbsp; https://Doi:10.56059/11599/4068\\u0026nbsp;\\u003c/li\\u003e\\n \\u003cli\\u003e\\u003cem\\u003eCarter, N., \\u0026amp; Pearson, M. (2022).\\u003c/em\\u003e From green crap to net zero: Conservative climate policy 2015\\u0026ndash;\\u003cem\\u003eDrucker, P. F. (1985).\\u003c/em\\u003e Innovation and Entrepreneurship: Practice and Principles\\u003cem\\u003e.\\u003c/em\\u003e \\u003cem\\u003eHarper \\u0026amp; Row.\\u003c/em\\u003e\\u003c/li\\u003e\\n \\u003cli\\u003eDylan Sutherland, Philip Warwick, John Anderson, \\u003cem\\u003ewhat factors influence student satisfaction with module quality\\u003c/em\\u003e? 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Available at:\\u003cstrong\\u003e\\u0026nbsp;\\u003c/strong\\u003ehttps://www.fao.org/climate-smart-agriculture/en/?form=MG0AV3\\u003cstrong\\u003e\\u0026nbsp;\\u003c/strong\\u003e\\u003c/span\\u003e\\u003c/li\\u003e\\n \\u003cli\\u003eJulia Barrott, Sukaina Bharwani \\u0026amp; Karen Brandon (2020). Transforming knowledge management for climate action: a road map for accelerated discovery and learning. SEI Publications. Available at: https://www.sei.org/publications/transforming-knowledge-management-for-climate-action-a-road-map-for-accelerated-discovery-and-learning/?form=MG0AV3\\u003c/li\\u003e\\n \\u003cli\\u003eHandbook for the International Treaties for the Protection of the Ozone Layer (2003). The Vienna Convention (1985), the Montreal Protocol (1987). (2003). Switzerland: Ozone Secretariat, United Nations Environment Programme. Available at: https://www.google.co.in/books/edition/Handbook_for_the_International_Treaties/NlbfrJpxFJEC?hl=en\\u0026amp;gbpv=0\\u0026nbsp;\\u003c/li\\u003e\\n \\u003cli\\u003eIPCC (2022). The evidence is clear: the time for action is now. We can halve emissions by 2030. Intergovernmental Panel on Climate Change. Available at: https://www.ipcc.ch/2022/04/04/ipcc-ar6-wgiii-pressrelease/?form=MG0AV3\\u003c/li\\u003e\\n \\u003cli\\u003eIRC, Report. (2023). Climate Action for the Epicenter of Crisis: How COP28 Can Address the Injustices Facing Conflict-Affected Countries. Available at:\\u0026nbsp;https://www.rescue.org/report/climate-action-epicenter-crisis-how-cop28-can-address-injustices-facing-conflict-affected\\u003c/li\\u003e\\n \\u003cli\\u003eIRC,\\u0026nbsp;Report. (2023). Climate crisis, understanding climate change: 5 concepts everyone should know. International Rescue Committee. Available at: \\u0026nbsp; https://www.rescue.org/article/understanding-climate-change-5-concepts-everyone-should-know\\u0026nbsp;\\u003c/li\\u003e\\n \\u003cli\\u003e\\u003cstrong\\u003eInternational Energy Agency (IEA).\\u003c/strong\\u003e\\u003cstrong\\u003e\\u0026nbsp;\\u003c/strong\\u003e(2024). \\u003cstrong\\u003eStated Policies Scenario (STEPS) \\u0026ndash; Global Energy and Climate Model Analysis.\\u003c/strong\\u003e\\u003cstrong\\u003e\\u0026nbsp;\\u003c/strong\\u003eRetrieved from IEA: https://www.iea.org/reports/global-energy-and-climate-model/stated-policies-scenario-steps?form=MG0AV3\\u003cstrong\\u003e\\u0026nbsp;\\u003c/strong\\u003e\\u003c/li\\u003e\\n \\u003cli\\u003e\\u003cstrong\\u003eGICC \\u0026amp; E (\\u003c/strong\\u003e2024).\\u003cstrong\\u003e\\u0026nbsp;\\u003cstrong\\u003ePledges and Policies: Are We on Track to Meet Climate Goals?\\u003c/strong\\u003e \\u003cstrong\\u003eGrantham Institute \\u0026ndash; Climate Change and the Environment.\\u0026nbsp;\\u003c/strong\\u003e\\u003c/strong\\u003eRetrieved from Imperial College London:https://www.imperial.ac.uk/grantham/publications/background-briefings/pledges-and-policies-are-we-on-track-to-meet-climate-goals/?form=MG0AV3\\u003c/li\\u003e\\n \\u003cli\\u003eMaikel Lieuw-Kie-SongRowan PalmerJuha Siikam\\u0026auml;ki (2024).\\u0026nbsp;Decent Work in Nature-Based Solutions 2024: Unlocking jobs through investment in skills and nature-based infrastructure. 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OHCHR and the 2030 Agenda for Sustainable Development; available at: https://www.ohchr.org/en/sdgs/about-2030-agenda-sustainable-development?form=MG0AV3.\\u003c/li\\u003e\\n \\u003cli\\u003eUnited Nation (2024). THE 17 GOALS and indicators. Department of Economic and Social Affairs Sustainable Development. Available at: https://sdgs.un.org/goals?form=MG0AV3\\u003c/li\\u003e\\n \\u003cli\\u003eUnited Nations (2024). Conferences | Environment and sustainable development. United Nations. Available at: https://www.un.org/en/conferences/environment/rio1992?form=MG0AV3\\u003c/li\\u003e\\n \\u003c/ol\\u003e\"}],\"fulltextSource\":\"\",\"fullText\":\"\",\"funders\":[],\"hasAdminPriorityOnWorkflow\":false,\"hasManuscriptDocX\":true,\"hasOptedInToPreprint\":true,\"hasPassedJournalQc\":\"\",\"hasAnyPriority\":true,\"hideJournal\":true,\"highlight\":\"\",\"institution\":\"\",\"isAcceptedByJournal\":false,\"isAuthorSuppliedPdf\":false,\"isDeskRejected\":\"\",\"isHiddenFromSearch\":false,\"isInQc\":false,\"isInWorkflow\":false,\"isPdf\":false,\"isPdfUpToDate\":true,\"isWithdrawnOrRetracted\":false,\"journal\":{\"display\":true,\"email\":\"info@researchsquare.com\",\"identity\":\"researchsquare\",\"isNatureJournal\":false,\"hasQc\":true,\"allowDirectSubmit\":true,\"externalIdentity\":\"\",\"sideBox\":\"\",\"snPcode\":\"\",\"submissionUrl\":\"/submission\",\"title\":\"Research Square\",\"twitterHandle\":\"researchsquare\",\"acdcEnabled\":true,\"dfaEnabled\":false,\"editorialSystem\":\"\",\"reportingPortfolio\":\"\",\"inReviewEnabled\":false,\"inReviewRevisionsEnabled\":true},\"keywords\":\"Knowledge Management, Climate Action, SDGs, University Stakeholders, India\",\"lastPublishedDoi\":\"10.21203/rs.3.rs-8602123/v1\",\"lastPublishedDoiUrl\":\"https://doi.org/10.21203/rs.3.rs-8602123/v1\",\"license\":{\"name\":\"CC BY 4.0\",\"url\":\"https://creativecommons.org/licenses/by/4.0/\"},\"manuscriptAbstract\":\"This study aims to evaluate the Knowledge Management (KM) determinants on climate action, and it assesses how university stakeholders can behave with SDGs, specifically SDG13. This study provides insight into the KM determinants of climate action in university stakeholders of Punjab, India. A survey-based, five-point Likert scale was used to test the hypothesis. A structured questionnaire was handed out to 1200 respondents, and 1103 were collected. PLS, CB-SEM techniques, and SPSS-26 applications to gain the result. It focuses on the response to their agreement on commitment to climate action competencies. Despite university stakeholders increasing their scalability in knowledge and skills, and demonstrating various levels of learning on climate action. This study suggests urgent policy reform, comprehensive cultural and value-based transformations, adopting technology without deeper reform, supporting evidence‑based decision‑making, and structured engagement mechanisms that will be adjusted in the recent situation to achieve knowledge. The findings indicate that universities are responsible for executing and adjusting their strategies to enhance stakeholder scalability and proficiencies, either in curriculum-based or mainstreaming with national policy and strategies to achieve their desired goals\",\"manuscriptTitle\":\"Empirical Study of Knowledge Management Determinants Toward Climate Action Competencies\",\"msid\":\"\",\"msnumber\":\"\",\"nonDraftVersions\":[{\"code\":1,\"date\":\"2026-01-16 08:32:06\",\"doi\":\"10.21203/rs.3.rs-8602123/v1\",\"editorialEvents\":[{\"type\":\"communityComments\",\"content\":1}],\"status\":\"published\",\"journal\":{\"display\":true,\"email\":\"info@researchsquare.com\",\"identity\":\"researchsquare\",\"isNatureJournal\":false,\"hasQc\":true,\"allowDirectSubmit\":true,\"externalIdentity\":\"\",\"sideBox\":\"\",\"snPcode\":\"\",\"submissionUrl\":\"/submission\",\"title\":\"Research Square\",\"twitterHandle\":\"researchsquare\",\"acdcEnabled\":true,\"dfaEnabled\":false,\"editorialSystem\":\"\",\"reportingPortfolio\":\"\",\"inReviewEnabled\":false,\"inReviewRevisionsEnabled\":true}}],\"origin\":\"\",\"ownerIdentity\":\"7bfc7140-4e70-44fa-92cd-d983def35bf0\",\"owner\":[],\"postedDate\":\"January 16th, 2026\",\"published\":true,\"recentEditorialEvents\":[],\"rejectedJournal\":[],\"revision\":\"\",\"amendment\":\"\",\"status\":\"posted\",\"subjectAreas\":[{\"id\":61183410,\"name\":\"Scientific community and society/Social sciences\"},{\"id\":61183411,\"name\":\"Earth and environmental sciences/Environmental social sciences/Climate-change impacts\"},{\"id\":61183412,\"name\":\"Scientific community and society/Social sciences/Education\"}],\"tags\":[],\"updatedAt\":\"2026-01-16T10:56:42+00:00\",\"versionOfRecord\":[],\"versionCreatedAt\":\"2026-01-16 08:32:06\",\"video\":\"\",\"vorDoi\":\"\",\"vorDoiUrl\":\"\",\"workflowStages\":[]},\"version\":\"v1\",\"identity\":\"rs-8602123\",\"journalConfig\":\"researchsquare\"},\"__N_SSP\":true},\"page\":\"/article/[identity]/[[...version]]\",\"query\":{\"redirect\":\"/article/rs-8602123\",\"identity\":\"rs-8602123\",\"version\":[\"v1\"]},\"buildId\":\"XKTyCvWXoU3ODBz1xrDgd\",\"isFallback\":false,\"isExperimentalCompile\":false,\"dynamicIds\":[84888],\"gssp\":true,\"scriptLoader\":[]}","source_license":"CC-BY-4.0","license_restricted":false}