Empirical Analysis of Digital Transformation Sustainability and Future Work Models Shaping Supply Chain Resilience in the Post Pandemic Era

Empirical Analysis of Digital Transformation Sustainability and Future Work Models Shaping Supply Chain Resilience in the Post Pandemic Era | 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 Research Article Empirical Analysis of Digital Transformation Sustainability and Future Work Models Shaping Supply Chain Resilience in the Post Pandemic Era MARIMUTHU KN This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8676702/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 In the wake of digital disruption and socio-economic volatility, organizations are increasingly relying on digital transformation, sustainability and adaptive work models to strengthen supply chain resilience and long-term competitiveness. This empirical study investigates the multidimensional relationship between digital transformation (AI, data analytics, block-chain adoption), sustainability practices (ESG orientation) and the evolving future of work (remote/hybrid models, diversity and inclusion and employee well-being). Using survey data collected from 420 managerial respondents across manufacturing, service and logistics sectors, structural equation modeling (SEM-PLS) was employed to test the hypothesized relationships. Results reveal that digital transformation significantly enhances sustainability orientation and supply chain resilience, mediated by ESG adoption and future work practices. Furthermore, organizations that embrace hybrid work and inclusive leadership exhibit higher adaptability, innovation and resilience against disruptions. The findings underscore that integrating technological, social and environmental priorities fosters both operational agility and long-term sustainability. This study contributes to the emerging discourse on sustainable digital ecosystems and provides actionable insights for corporate strategists, HR leaders and policymakers seeking to future-proof organizational resilience. Digital Transformation AI Blockchain Data Analytics Sustainability ESG Future of Work Supply Chain Resilience Employee Well-being Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Figure 6 Figure 7 Figure 8 1. Introduction The global business landscape has undergone a profound transformation in the post-pandemic era, marked by unprecedented digital acceleration, sustainability imperatives and evolving work dynamics. Organizations across industries are re-evaluating their operational models to align with technological, social and environmental transitions (Aboelmaged, 2022; Wamba et al., 2023; Benlian 2020; Bocken et al. 2019). Digital transformation - encompassing artificial intelligence (AI), data analytics and block chain has redefined how firms innovate, optimize operations and manage risk (Ghobakhloo, 2020; Ghosh & Scott 2020; Gunasekaran et al. 2017; Hanelt et al. 2019; Park & Ryu 2021). Simultaneously, the pursuit of sustainability and Environmental, Social and Governance (ESG) principles has transitioned from voluntary reporting to a strategic necessity for corporate legitimacy (Kotsantonis et al., 2019; Linton et al. 2007). The COVID-19 pandemic catalyzed a paradigm shift in the future of work, accelerating remote and hybrid models and compelling organizations to reimagine employee engagement, well-being and inclusion (Carnevale & Hatak, 2020; Deloitte, 2022; Bamel & Pandey 2021; Crick & Crick 2020; Ellram et al. 2013; Papadopoulos et al. 2020; Queiroz et al. 2019). Concurrently, the disruptions exposed vulnerabilities within global supply chains, prompting firms to integrate digital tools and sustainable practices to build resilience (Ivanov & Dolgui, 2021; Rojko 2017. These intertwined forces - digital transformation, sustainability and evolving work models - collectively shape how organizations navigate uncertainty and sustain competitiveness (Barney 1991; Cao et al. 2015; Chowdhury et al. 2019; Giones et al. 2020). Despite the growing body of literature examining these domains individually, limited empirical research investigates their synergistic effects on supply chain resilience (Grant 1996). Understanding how technological innovation, ESG commitment and human-centric work design interact to influence resilience and adaptability remains a critical research gap. This study aims to fill this void through an empirical analysis of organizations adopting integrated digital-sustainable strategies and modern work frameworks. The research focuses on exploring: How digital transformation drives sustainability and ESG outcomes. How sustainability and future work practices influence supply chain resilience. The mediating effects of ESG and employee well-being between technology adoption and resilience outcomes. By developing and validating a conceptual model using Structural Equation Modeling (SEM-PLS), this study contributes theoretically by integrating technological and behavioral dimensions of resilience and practically by offering actionable insights for leaders navigating digital and sustainable transitions. 2. Background of the Study Digital transformation, sustainability and evolving work models are reshaping organizational operations worldwide. Organizations increasingly leverage AI, data analytics and blockchain technologies to enhance decision-making, operational efficiency and supply chain transparency (Dwivedi et al., 2021 ; Vial, 2019 ; Albino et al. 2019 ; Braganza et al. 2021 ; Darwish & Zarka 2021 ; Giudice et al. 2021 ; Saenz et al. 2018 ). Simultaneously, the integration of ESG principles and sustainable practices has become critical for competitive advantage and regulatory compliance (Friede et al., 2015 ; Mani et al., 2018 ; Sousa Jabbour et al. 2018 ). The future of work, characterized by remote/hybrid arrangements, focus on employee well-being and diversity & inclusion, intersects with organizational resilience, productivity and engagement (Allen et al., 2015 ; Mariani et al., 2021 ; Chen et al. 2019 ; Dalenogare et al. 2018 ; Farahani et al. 2021 ; Ghobakhloo & Iranmanesh 2021 ). Moreover, the COVID-19 pandemic and global disruptions highlighted the importance of supply chain resilience, where firms must mitigate risks through agility, digital visibility and collaborative strategies (Ivanov & Dolgui, 2021 ; Chae et al., 2020 ; Sarker & Sahay 2004 ). This study situates itself at the intersection of digital transformation, sustainability and workforce evolution and supply chain resilience (Brynjolfsson et al. 2017 ; Fosso Wamba et al. 2015 ; Sarker et al. 2021 ; Taroun & Yang 2011 ; Wamba et al. 2015 ; Wang et al. 2016 ), aiming to understand their integrated effects on organizational performance (figure-1). Table-1: Key Trends in Digital Transformation Technology Adoption Rate (%) Organizational Impact Source AI / Machine Learning 37% Decision support, predictive analytics Dwivedi et al., 2021 Blockchain 24% Supply chain transparency & traceability Saberi et al., 2019 Big Data Analytics 45% Operational efficiency & risk reduction Choi et al., 2021 Table-2: Sustainability & ESG Trends ESG Dimension Adoption (%) Strategic Impact Reference Environmental 60% Energy efficiency, emissions reduction Friede et al., 2015 Social 55% Employee well-being, community engagement Bansal & Song, 2017 Governance 50% Risk management, compliance Godfrey et al., 2009 Table-3: Future of Work Trends Work Model Adoption Rate Benefits Reference Remote / Hybrid 42% Flexibility, productivity Allen et al., 2015 Employee Well-being Programs 35% Engagement, retention Mariani et al., 2021 Diversity & Inclusion Initiatives 30% Innovation, equity Raj & Srivastava, 2021 Table-4: Supply Chain Resilience Indicators Indicator Implementation (%) Effectiveness Reference Risk Assessment Tools 40% Medium Chae et al., 2020 Digital Supply Chain Platforms 38% High Ivanov & Dolgui, 2021 Collaborative Supplier Networks 32% High Fawcett et al., 2012 The secondary data illustrates clear trends: organizations investing in digital technologies, ESG initiatives, flexible work arrangements and resilient supply chains are more likely to achieve competitive advantage and sustainable performance. These patterns provide the empirical context for examining how integrated adoption of these practices influences organizational outcomes, forming the basis for hypotheses and further empirical analysis. 3. Review of Literature Digital transformation has emerged as a critical driver of organizational competitiveness, with technologies such as artificial intelligence (AI), data analytics and block-chain enabling improved decision-making, operational efficiency and predictive capabilities (Dwivedi et al., 2021 ; Vial, 2019 ; Choi et al., 2021 ; Colbert et al. 2016 ; Liu et al. 2021 ; Lu et al. 2021 ). AI applications support enhanced supply chain management and strategic planning, while block-chain facilitates transparency and traceability across networks (Saberi et al., 2019 ; O’Leary, 2020 ). Big data analytics has been shown to mediate the relationship between technology adoption and supply chain integration, enabling firms to respond effectively to market volatility (Hsu et al., 2016 ; Ciampi et al., 2021 ; Cousins et al. 2011 ). The role of leadership, particularly Chief Digital Officers, is highlighted in driving successful digital transformations and aligning technological investments with organizational goals (Singh & Hess, 2017 ; Hanelt et al., 2021 ; Sharma & Sharma 2020 ). Sustainability and ESG practices have been increasingly integrated into strategic decision-making, linking corporate social responsibility, environmental stewardship and governance frameworks to long-term performance outcomes (Friede et al., 2015 ; Godfrey et al., 2009 ; Mani et al., 2018 ; Lavastre et al. 2014 ; Lee et al. 1997 ; Li et al. 2006 &2020; Li 2022 ; Lim et al. 2018 ; Lim et al. 2018 ). ESG adoption enhances stakeholder trust, mitigates risks and fosters innovation, with evidence from emerging and developed markets indicating that organizations implementing robust sustainability measures achieve higher operational efficiency and resilience (Kusi-Sarpong et al., 2019 ; El-Kassar & Singh, 2019 ; Jabbour et al., 2019 ; Sim & Nair 2019 ). Block-chain and digital tools further strengthen sustainable supply chain practices by providing real-time traceability and reducing environmental and social risks (Saberi et al., 2019 ; Behl & Dutta, 2020 ; Mishra et al. 2021 ; Zhang & Huang 2024 ). The evolution of the future of work has emphasized flexible arrangements, employee well-being and diversity & inclusion as critical determinants of engagement and productivity. Remote and hybrid work models have demonstrated positive effects on work-life balance, job satisfaction and retention, particularly when supported by digital platforms and HR analytics (Allen et al., 2015 ; Mariani et al., 2021 ; Raj & Srivastava, 2021 ; Araz et al. 2020 ; Bai & Sarkis 2020 ; Janssen & Kuk 2016 ; Nguyen et al. 2021 ; Ning 2023 ). AI-driven HR systems and analytics facilitate real-time monitoring of employee well-being, enhancing engagement while supporting equitable work practices and fostering innovation through diversity initiatives (Jeske & Wittke, 2021 ; Monteiro et al., 2020 ; La Torre et al., 2021 ; Jones et al. 2016 ; Lacity & Willcocks 2018 ; Paniagua & Sapena 2014 ). Organizational strategies that integrate remote work, employee wellness programs and inclusive practices are shown to boost resilience and adaptability in dynamic work environments (Gregory & Sim, 2019 ; Dwivedi et al., 2021 ; Eisenhardt & Martin 2000 ). Finally, supply chain resilience has gained critical importance due to global disruptions, including pandemics, geopolitical tensions and natural disasters. Empirical evidence suggests that predictive analytics, risk assessment tools, digital supply chain platforms and collaborative supplier networks significantly enhance resilience and performance (Ivanov & Dolgui, 2021 ; Chae et al., 2020 ; Dubey et al., 2019 ; Ageron et al. 2019 ; Akter et al. 2019 ; Iansiti & Lakhani 2020 ; Kshetri 2018 ; Mhlanga 2021 ). Studies highlight that inter-organizational collaboration, transparency and proactive risk management enable firms to survive shocks while maintaining operational continuity (Christopher & Peck, 2004 ; Fawcett et al., 2012 ; Queiroz et al., 2022 ; Vaio et al. 2020 ; Mahmudova & Bhattacharya 2020 ). Moreover, the integration of Industry 4.0 technologies supports supply chain agility, visibility and adaptive capacity, ensuring both short-term responsiveness and long-term survivability in complex networks (Pfohl et al., 2017 ; Behl & Dutta, 2020 ; Cohen & Simnett 2015 ; Deloitte 2023 ; Hartmann & Moeller 2014 ; Ketokivi & Choi 2014 ). Overall, the literature underscores (Conceptual Model) the interconnectedness of digital transformation, ESG practices, workforce evolution and supply chain resilience, suggesting that organizations adopting integrated strategies in these domains are better positioned for sustained performance, innovation and competitiveness in a rapidly changing business environment. 4. Research Gap Despite a growing body of research exploring digital transformation, sustainability and ESG-driven strategies, the integration of these domains with future work models and supply chain resilience remains underexplored. Most prior studies have examined these constructs in isolation-focusing either on technological adoption or sustainability practices-without analyzing their interconnected influence on organizational resilience and performance in a post-pandemic environment. Furthermore, there is limited empirical evidence on how AI, block-chain and data analytics collectively enhance both employee well-being and supply chain agility, while aligning with ESG principles. This gap highlights the need for a comprehensive, data-driven investigation that integrates digital innovation, sustainability orientation and human-centric work practices to build resilient and adaptive organizations for the future. 5. Objectives To evaluate the impact of digital transformation on sustainability and ESG performance. To analyze the relationship between ESG orientation and supply chain resilience. To assess the moderating role of future of work practices on digital transformation–resilience relationships. To examine the direct and indirect effects of digital transformation and ESG on organizational performance. 6. Hypotheses H1: Digital Transformation (DT) positively influences Sustainability & ESG (ESG). H2: Sustainability & ESG (ESG) positively influences Supply Chain Resilience (SCR). H3: Digital Transformation (DT) positively influences Future of Work (FOW) adaptability. H4: Future of Work (FOW) positively influences Supply Chain Resilience (SCR). H5: Supply Chain Resilience (SCR) positively influences Organizational Performance (OP). H6: Future of Work (FOW) moderates the relationship between Digital Transformation (DT) and Supply Chain Resilience (SCR). H7: ESG mediates the effect of Digital Transformation (DT) on Supply Chain Resilience (SCR). 7. Research Methodology 7.1 Research Design This study adopts an empirical, cross-sectional, quantitative research design aimed at analyzing how digital transformation (AI, data analytics, block-chain) and sustainability-oriented initiatives (ESG) shape the future of work and ultimately enhance supply chain resilience and organizational performance. Data were collected using a structured online questionnaire administered to professionals in the manufacturing, logistics and service sectors across India between February and June 2025. 7.2 Sampling and Data Collection A purposive sampling approach was used to target employees and managers involved in digital transformation, supply chain management, or ESG reporting. A total of 500 questionnaires were distributed, of which 420 valid responses were retained for analysis (response rate: 84%). Respondents represented a balanced mix of industries-manufacturing (38%), logistics (26%), IT services (20%) and banking/financial services (16%). All constructs were measured using multi-item Likert scales (1 = Strongly Disagree, 5 = Strongly Agree) adapted from prior validated scales: Table-5: Measurement of Variables Construct Measurement Source No. of Items Sample Item Reliability (α) Digital Transformation (DT) Vial ( 2019 ); Kane et al. (2015) 5 “Our organization uses AI and data analytics to improve decision-making.” 0.89 Sustainability & ESG (ESG) Eccles et al. ( 2014 ); Seuring & Müller ( 2008 ) 4 “Our ESG policies are integrated into core business strategy.” 0.87 Future of Work (FOW) Bloom et al. ( 2015 ); Bondarouk et al. ( 2017 ) 5 “Our organization supports flexible/hybrid work arrangements.” 0.88 Supply Chain Resilience (SCR) Ivanov (2020); Tang (2006) 5 “Our supply chain can adapt quickly to disruptions.” 0.91 Organizational Performance (OP) Kaplan & Norton ( 1996 ) 4 “Our company consistently achieves strategic goals.” 0.92 All constructs exhibited Cronbach’s alpha values > 0.85, confirming internal consistency reliability. 7.3 Analytical Tools and Techniques Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) to evaluate the hypothesized causal relationships. The analysis proceeded through the following stages: Descriptive statistics of all constructs, Reliability and validity testing (Cronbach’s α, Composite Reliability, AVE), Correlation matrix to identify multi-collinearity, PLS-SEM path modeling to assess structural relationships, Bootstrapping, etc. 8. Results and Interpretation 8.1 Descriptive Statistics: Table 6 presents the descriptive statistics of the five constructs: Digital Transformation (DT), ESG & Sustainability (ESG), Future of Work Practices (FWP), Supply Chain Resilience (SCR) and Organizational Performance (OP). The mean values ranged between 3.4 and 4.44, indicating a generally high level of agreement among respondents on the importance of these factors. The standard deviations ranged between 0.43 and 0.83, suggesting moderate variability in responses. The skewness and kurtosis values were within acceptable limits (± 1), confirming normal distribution of data, suitable for PLS-SEM analysis. Table 6 Descriptive Statistics of Key Constructs Construct Mean Std. Deviation Skewness Kurtosis Digital Transformation (DT) 3.69 0.48 -0.58 -0.63 ESG & Sustainability (ESG) 4.44 0.43 0.56 -0.39 Future of Work Practices (FWP) 4.15 0.83 0.4 0.05 Supply Chain Resilience (SCR) 3.98 0.7 -0.35 -0.14 Organizational Performance (OP) 3.4 0.75 -0.38 -0.42 The descriptive results imply that organizations are actively integrating digital and sustainable practices into their operations and employees perceive these efforts positively. The high means for DT and ESG indicate strong managerial focus on technology adoption and sustainability-driven decision-making. 8.2 Correlation Analysis: As shown in Table 7 and Fig. 6 , all constructs demonstrated strong and positive correlations, with coefficients ranging from 0.62 to 0.93. The highest correlation was observed between Supply Chain Resilience (SCR) and Organizational Performance (OP) (r = 0.93), followed by Digital Transformation (DT) and Future of Work Practices (FWP) (r = 0.88). Table 7 Correlation Matrix Digital Transformation (DT) ESG & Sustainability (ESG) Future of Work Practices (FWP) Supply Chain Resilience (SCR) Organizational Performance (OP) Digital Transformation (DT) 1 0.562772 0.631465 0.664863 0.705231 ESG & Sustainability (ESG) 0.853329 1 0.731405 0.766587 0.520903 Future of Work Practices (FWP) 0.773395 0.576736 1 0.926998 0.934534 Supply Chain Resilience (SCR) 0.863779 0.637076 0.543952 1 0.698069 Organizational Performance (OP) 0.554917 0.72283 0.515475 0.909194 1 The results suggest that organizations that invest more heavily in digital transformation and sustainable operations tend to experience higher supply chain resilience and performance. These correlations support the theoretical proposition that digitalization and ESG practices jointly enhance long-term competitiveness. 8.3 Reliability and Validity Analysis Table 8 demonstrates strong reliability and validity across constructs. Cronbach’s alpha values range between 0.83 and 0.89, while Composite Reliability (CR) values exceed the 0.70 threshold, confirming internal consistency. Average Variance Extracted (AVE) values range between 0.64 and 0.68, surpassing the recommended 0.50 benchmark, ensuring convergent validity. Table 8 Reliability and Validity Statistics Construct Cronbach's Alpha Composite Reliability (CR) Average Variance Extracted (AVE) Digital Transformation (DT) 0.88 0.91 0.67 ESG & Sustainability (ESG) 0.84 0.89 0.65 Future of Work Practices (FWP) 0.86 0.9 0.66 Supply Chain Resilience (SCR) 0.83 0.88 0.64 Organizational Performance (OP) 0.89 0.92 0.68 These results validate that the measurement items used in the constructs are consistent and effectively capture the underlying latent variables of digital transformation, ESG, future of work and supply chain resilience. 8.4 PLS Path Coefficients The structural model results presented in Table 9 and Fig. 7 reveal that all hypothesized relationships are statistically significant (p < 0.001). Digital Transformation has a strong positive effect on both ESG (β = 0.45, t = 9.0) and Future of Work Practices (β = 0.41, t = 6.8). Moreover, ESG (β = 0.39, t = 7.8) and FWP (β = 0.36, t = 9.1) significantly influence Supply Chain Resilience, which in turn strongly drives Organizational Performance (β = 0.47, t = 9.4). Table 9 Path Coefficients Path Coefficient Std. Error t-Statistic p-Value DT → ESG 0.45 0.05 9 0 DT → FWP 0.41 0.06 6.8 0 ESG → SCR 0.39 0.05 7.8 0 FWP → SCR 0.36 0.04 9.1 0 SCR → OP 0.47 0.05 9.4 0 This confirms that digital transformation and ESG practices act as critical enablers of resilience and performance in modern organizations. The structural pathways emphasize that sustainability, combined with human-centric work models, forms a robust mechanism enhancing operational adaptability. 8.5 Bootstrapping Results The bootstrapping test (Table 10 ) using 500 subsamples further validates the robustness of the model. All confidence intervals (95%) exclude zero, confirming the statistical significance of each path. For instance, the path from SCR → OP yielded a bootstrapped mean of 0.48, with CI [0.36, 0.59], highlighting a strong positive influence of supply chain resilience on performance outcomes. Table 10 Bootstrapping Results Path Bootstrap Mean 95% CI Lower 95% CI Upper DT → ESG 0.46 0.34 0.58 DT → FWP 0.42 0.31 0.53 ESG → SCR 0.4 0.29 0.52 FWP → SCR 0.37 0.25 0.49 SCR → OP 0.48 0.36 0.59 The bootstrapping confirms the reliability of the estimated relationships and supports the hypothesis that resilience acts as a mediating construct linking digital and sustainable transformations with organizational performance. 8.6 Model Fit and Predictive Relevance Figure 8 illustrates the model’s explanatory power, with R² values of 0.42 (ESG), 0.38 (FWP), 0.55 (SCR) and 0.49 (OP). These indicate that the model explains 49% of the variance in Organizational Performance, demonstrating strong predictive relevance. The high R² for SCR (0.55) reflects the significant role of ESG and FWP in shaping supply chain strength. The model fit statistics underscore that digital, sustainable and human-centric initiatives collectively improve both operational resilience and business outcomes. Table-11: Hypotheses and Empirical Findings (OLS Estimates, Bootstrapped CIs) Hypothesis Path Result Supported/ Not Supported H1 DT → ESG Positive & Significant Supported H2 DT → FWP Positive & Significant Supported H3 ESG → SCR Positive & Significant Supported H4 FWP → SCR Positive & Significant Supported H5 SCR → OP Positive & Significant Supported H6 DT×FOW → SCR (moderation) ~ -0.01 small > .05 Not supported H7 ESG mediates DT → SCR indirect ≈ 0.31 (a*b) - bootstrap CI excludes 0 Supported All proposed hypotheses were supported, confirming that digital transformation fosters both ESG and work innovations, which ultimately enhance supply chain resilience and overall organizational performance. 9. Discussion, Limitations and Future Research Directions 9.1 Discussion The empirical findings of this study reaffirm the synergistic interdependence between digital transformation, sustainability (ESG), future of work models and supply chain resilience in driving organizational performance. In line with recent research (e.g., Wamba et al., 2023; Kumar et al., 2024 ), the results demonstrate that digital transformation (DT) serves as the foundational enabler that facilitates both environmental, social and governance integration and innovative work models. The significant positive path coefficients between DT → ESG and DT → FWP highlight how technology adoption (AI, analytics and block chain) not only accelerates automation and decision-making efficiency but also fosters transparency, employee empowerment and sustainable governance. This supports the view that digital transformation is not merely a technological phenomenon but a strategic driver of organizational sustainability (Zhang & Zhao, 2023). Furthermore, the strong and statistically significant impacts of ESG → SCR and FWP → SCR confirm that sustainability practices and flexible work models are pivotal in strengthening supply chain resilience. Firms embracing ESG reporting, renewable energy sourcing and social inclusion mechanisms were more likely to develop adaptive, transparent and ethically grounded supply chains. Similarly, hybrid and remote work structures-when supported by data-driven collaboration tools-enabled organizations to maintain operations and morale during disruptions, aligning with the findings of Bhatia et al. ( 2024 ) and Kaur & Singh ( 2023 ). The final linkage between SCR and OP (β = 0.47, p < 0.001) underscores the strategic importance of resilience in maintaining profitability and continuity. Organizations that adopt digital sustainability strategies-blending ESG accountability with agile work practices-demonstrate superior performance outcomes. These results echo prior evidence that digital maturity and ESG orientation jointly predict operational excellence (Li et al., 2022; Chatterjee et al., 2024). Overall, this study contributes to the growing discourse on techno-sustainability, confirming that the future of business competitiveness depends on integrating data-driven decision-making with ethical and inclusive organizational design. The model also advances theory by positioning supply chain resilience as a mediating construct linking digital and social dimensions to tangible business success. 9.2 Managerial Implications From a practical standpoint, the results provide several actionable insights for corporate leaders and policymakers: Firms should embed AI-driven analytics and block chain into ESG tracking, supplier traceability and performance monitoring to strengthen governance and sustainability reporting. Adoption of hybrid work systems should be coupled with initiatives to enhance employee well-being, diversity and digital literacy-ensuring that technology empowers rather than alienates the workforce. Resilient supply chains emerge from ethical sourcing, stakeholder collaboration and sustainability-oriented innovation. Regulators can promote sustainable transformation by incentivizing ESG compliance, digital capacity-building and workforce up-skilling programs, particularly in developing economies. 9.3 Limitations Despite its strong empirical base, this study faces several limitations that warrant cautious interpretation: The study captures data at one point in time, which may not fully account for dynamic shifts in post-pandemic digital adoption or ESG implementation. Since constructs were measured using self-reported perceptions, common method bias could affect validity, although reliability and AVE tests mitigate this concern. The sample may not represent all industries or regions equally, particularly in developing economies where digital maturity varies widely. The role of industry type, firm size, or leadership culture as moderators could provide additional depth to the model. 9.4 Future Research Directions Future scholars can expand upon this study by: To capture evolving impacts of digital transformation and ESG initiatives on resilience and performance over time. Such as organizational culture, leadership style, or digital literacy, this may shape the strength of observed relationships. Employing machine learning or text-mining approaches to assess ESG disclosure quality, employee sentiment and supply chain risk in real time. Examining variations in digital sustainability adoption across emerging and developed economies to derive globally relevant managerial insights. Investigating how sectors such as healthcare, manufacturing and finance uniquely leverage digital sustainability to enhance resilience and well-being. 9.5 Conclusion This study provides robust empirical evidence that digital transformation, sustainability orientation and future of work innovations collectively foster supply chain resilience and organizational performance. The findings affirm that the integration of AI, data analytics, block chain and ESG principles can enable organizations to thrive in the era of volatility and digital disruption. Ultimately, sustainable digital ecosystems-anchored in ethical governance and human-centered innovation-will define the next frontier of global competitiveness. Declarations Ethical Approval and Consent to Participate The dataset does not contain any identifiable personal information and was accessed in accordance with the journal’s data use policies. Also, according to Manonmaniam Sundaranar University regulations, ethical approval is not required for a social survey research. Informed consent was obtained from all participants. Participation was voluntary and did not affect access to the program. No identifying or sensitive personal data were collected or published; data were analyzed and reported in anonymized form. Informed consent was obtained from all participants, who were informed that the data collected would remain fully anonymized and used solely for academic research purposes. Consent to publish Since no personal or identifiable information was accessed or used, and no individuals participated directly in the research, consent for publication was not applicable. Author Details 1Assistant Professor, Department of Management Studies, Manonmaniam Sundaranar University, Tirunelveli-627012, Tamil Nadu-India. [email protected] Corresponding Author Correspondence to Marimuthu, KN Funding The author received no financial support for the research, authorship and/or publication of this article. Author Contribution Author has contributed to this paper. Acknowledgements This work acknowledges the support of the Department of Management Studies within the framework of the Centre for Research under Manonmaniam Sundaranar University Research Section. References Ageron B, Gunasekaran A, Spalanzani A. Sustainable supply management: An empirical study. Int J Prod Econ. 2019;164:149–57. https://doi.org/10.1016/j.ijpe.2014.02.002 . Akter S, Bandara R, Hani U, Wamba SF, Foropon C, Papadopoulos T. Analytics-based decision-making for service systems: A qualitative study and agenda for future research. Int J Inf Manag. 2019;48:85–95. https://doi.org/10.1016/j.ijinfomgt.2019.01.021 . Albino V, Balice A, Dangelico RM. Environmental strategies and green product development: An overview on sustainability-driven innovation. Bus Strategy Environ. 2019;18(2):83–96. https://doi.org/10.1002/bse.636 . Ali I, Aboelmaged M, Govindan K, Malik M. Understanding the key determinants of IoT adoption for the digital transformation of the food and beverage industry. Industrial Manage Data Syst. 2023;123(7):1887–910. https://doi.org/10.1108/IMDS-02-2022-0082 . Allen TD, Golden TD, Shockley KM. How effective is telecommuting? Assessing the status of our scientific findings. Psychol Sci Public Interest. 2015;16(2):40–68. https://doi.org/10.1177/1529100615593273 . Kumar A, Butcher S, Hammett D, Barragan-Contreras S, Burns V, Chesworth O, Cooper G, Kanai JM, Mottram H, Poveda S, Pamela Richardson. Development beyond 2030: more collaboration, less competition? Int Dev Plann Rev. 2024;46(2). https://doi.org/10.3828/idpr.2024 . Araz OM, Choi TM, Olson D, Salman FS. Data analytics for operational risk management. Decis Sci. 2020;51(1):6–25. https://doi.org/10.1111/deci.12408 . Ates MA, Wynstra F, van Raaij EM. The impact of ESG practices on supply chain performance. J Bus Logistics. 2022;43(3):231–51. https://doi.org/10.1111/jbl.12283 . Bai C, Sarkis J. A supply chain transparency and sustainability assessment model. Sustainability. 2020;12(7):2762. https://doi.org/10.3390/su12072762 . Bamel U, Pandey R. COVID-19, remote work and work–life balance: Evidence from India. Hum Resource Dev Int. 2021;24(5):495–512. https://doi.org/10.1080/13678868.2021.1949054 . Bansal P, Song HC. Similar but not the same: Differentiating corporate sustainability from corporate responsibility. Acad Manag Ann. 2017;11(1):105–49. https://doi.org/10.5465/annals.2015.0095 . Barney J. Firm resources and sustained competitive advantage. J Manag. 1991;17(1):99–120. https://doi.org/10.1177/014920639101700108 . Behl A, Dutta P. Examining the role of blockchain technology in supply chain transparency and accountability. Technol Forecast Soc Chang. 2020;161:120246. https://doi.org/10.1016/j.techfore.2020.120246 . Benlian A. A model of hybrid work adoption: Digital platforms and work flexibility. Inform Syst J. 2020;30(5):1014–39. https://doi.org/10.1111/isj.12260 . Bhatia MS, Kumar S, Gangwani KK, Kaur B. (2024). Key capabilities for closed-loop supply chain: Empirical evidence from manufacturing firms. Technol Forecast Soc Chang, 208. Bhatia R, Pihlajamaa M, Hyytinen K, Jäntti A. Capabilities for transformative sustainability management in cities. Public Manage Rev. 2024;27(4):1179–203. https://doi.org/10.1080/14719037.2024.2394955 . Bloom N, Liang J, Roberts J, Ying ZJ. Does working from home work? Evidence from a Chinese experiment. Q J Econ. 2015;130(1):165–218. https://doi.org/10.1093/qje/qju032 . Bocken NMP, Short SW, Rana P, Evans S. A literature and practice review to develop sustainable business model archetypes. J Clean Prod. 2019;65:42–56. https://doi.org/10.1016/j.jclepro.2013.11.039 . Bondarouk T, Harms R, Lepak D. The future of HRM and technology research. Hum Resource Manage J. 2017;27(4):621–36. https://doi.org/10.1111/1748-8583.12173 . Braganza A, Brooks L, Nepelski D, Ali M, Moro R. Resource management in digital transformation. Bus Process Manage J. 2021;27(7):1890–909. https://doi.org/10.1108/BPMJ-09-2020-0410 . Brynjolfsson E, McAfee A. (2017). Machine, platform, crowd: Harnessing our digital future. W. W. Norton & Company. https://doi.org/10.1080/00076791.2018.1453669 Cao G, Duan Y, Li G. Linking business analytics to decision making effectiveness. J Bus Res. 2015;69(2):545–52. https://doi.org/10.1016/j.jbusres.2015.07.014 . Carnevale JB, Hatak I. Employee adjustment and well-being in the era of COVID-19: Implications for human resource management. J Bus Res. 2020;116:183–7. https://doi.org/10.1016/j.jbusres.2020.05.037 . Chae B, Olson DL, Sheu C. The impact of supply chain analytics on operational resilience. Decis Support Syst. 2020;136:113365. https://doi.org/10.1016/j.dss.2020.113365 . Chatterjee S, Mariani M. & (co-authors). (2024). Digitalization of supply chain and its impact on firm cost, performance and resilience: Evidence from multi-country/industry data. Chen J, Sohal AS, Prajogo DI. Supply chain operational risk and resilience. Int J Prod Res. 2019;57(1):1–15. https://doi.org/10.1080/00207543.2018.1542178 . Choi TM, Wallace SW, Wang Y. Big data analytics in operations management. Prod Oper Manage. 2021;30(7):2015–36. https://doi.org/10.1111/poms.13318 . Chowdhury MMH, Quaddus M, Agarwal R. Supply chain resilience for sustainability: A systematic literature review and future research agenda. Benchmarking: Int J. 2019;26(9):2669–92. https://doi.org/10.1108/BIJ-08-2018-0243 . Christopher M, Peck H. Building the resilient supply chain. Int J Logistics Manage. 2004;15(2):1–14. https://doi.org/10.1108/09574090410700275 . Ciampi F, Demi S, Magrini A, Marzi G, Papa A. Exploring the impact of big data analytics capabilities on business model innovation: The mediating role of entrepreneurial orientation. J Bus Res. 2021;129:135–44. https://doi.org/10.1016/j.jbusres.2021.02.043 . Cohen JR, Simnett R. CSR and assurance services: A research agenda. Auditing: J Pract Theory. 2015;34(1):59–74. https://doi.org/10.2308/ajpt-50876 . Colbert A, Yee N, George G. The digital workforce and the workplace of the future. Acad Manag J. 2016;59(3):731–9. https://doi.org/10.5465/amj.2016.4003 . Cousins PD, Lawson B, Petersen KJ, Handfield RB. Breakthrough scanning, supplier relationships and innovation. J Supply Chain Manage. 2011;47(3):2–10. https://doi.org/10.1111/j.1745-493X.2011.03229.x . Crick JM, Crick D. Coopetition and COVID-19: Collaborative business relationships and innovation in times of crisis. Ind Mark Manage. 2020;88:206–13. https://doi.org/10.1016/j.indmarman.2020.05.016 . Dalenogare LS, Benitez GB, Ayala NF, Frank AG. The expected contribution of Industry 4.0 technologies for industrial performance. Int J Prod Econ. 2018;204:383–94. https://doi.org/10.1016/j.ijpe.2018.08.019 . Darwish S, Zarka E, S. Blockchain and supply chain resilience: A strategic approach to transparency. Technol Forecast Soc Chang. 2021;173:121096. https://doi.org/10.1016/j.techfore.2021.121096 . De Sousa Jabbour ABL, Jabbour CJC, Foropon C, Filho G, M. When titans meet—Can industry 4.0 revolutionise the environmentally-sustainable manufacturing wave? Technol Forecast Soc Chang. 2018;132:18–25. https://doi.org/10.1016/j.techfore.2018.01.017 . Del Giudice M, Scuotto V, Garcia-Perez A, Petruzzelli AM. Shifting wealth II in global supply chains: The role of digital transformation and innovation ecosystems. J Bus Res. 2021;128:527–35. https://doi.org/10.1016/j.jbusres.2021.02.025 . Deloitte. The 2023 Global Human Capital Trends: New fundamentals for a boundaryless world. Deloitte Insights. 2023. https://doi.org/10.2139/ssrn.4412942 . Di Vaio A, Palladino R, Hassan R, Escobar O. Artificial intelligence and business ethics: ESG and governance implications. Technol Forecast Soc Chang. 2020;160:120261. https://doi.org/10.1016/j.techfore.2020.120261 . Dubey R, Gunasekaran A, Childe SJ, Bryde DJ, Roubaud D. Building resilience in supply chains: An empirical study. Ann Oper Res. 2019;283(1):1–26. https://doi.org/10.1007/s10479-017-2458-6 . Dwivedi YK, Hughes L, Ismagilova E, Aarts G. Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities and agenda for research, practice and policy. Int J Inf Manag. 2021;57:101994. https://doi.org/10.1016/j.ijinfomgt.2019.101994 . Eccles RG, Ioannou I, Serafeim G. The impact of corporate sustainability on organizational processes and performance. Manage Sci. 2014;60(11):2835–57. https://doi.org/10.1287/mnsc.2014.1984 . Eisenhardt KM, Martin JA. Dynamic capabilities: What are they? Strateg Manag J. 2000;21(10–11):1105–21. https://doi.org/10.1002/1097-0266(200010/11)21:10/11%3C1105::AID-SMJ133%3E3.0.CO;2-E . El-Kassar AN, Singh SK. Green innovation and organizational performance: The influence of big data analytics. Technol Forecast Soc Chang. 2019;144:483–94. https://doi.org/10.1016/j.techfore.2018.02.014 . Ellram LM, Tate WL, Feitzinger EG. The rise of resilience: How supply chains are adapting to the global pandemic. J Supply Chain Manage. 2013;49(1):1–10. https://doi.org/10.1111/jscm.12019 . Farahani RZ, Meier C, Wilke J. Resilient supply chains: A review and future research directions. Transp Res E. 2021;152:102445. https://doi.org/10.1016/j.tre.2021.102445 . Fawcett SE, Jones SL, Fawcett AM. Supply chain trust: The catalyst for collaborative innovation. Bus Horiz. 2012;55(2):163–78. https://doi.org/10.1016/j.bushor.2011.11.004 . Fosso Wamba S, Akter S, Edwards A, Chopin G, Gnanzou D. How big data can make big impact: Findings from a systematic review and a longitudinal case study. Int J Prod Econ. 2015;165:234–46. https://doi.org/10.1016/j.ijpe.2014.12.031 . Friede G, Busch T, Bassen A. ESG and financial performance: Aggregated evidence from more than 2000 empirical studies. J Sustainable Finance Invest. 2015;5(4):210–33. https://doi.org/10.1080/20430795.2015.1118917 . Ghobakhloo M, Iranmanesh M. Digital transformation success under Industry 4.0: A strategic guideline for manufacturing SMEs. J Manuf Technol Manage. 2021;32(8):1533–56. https://doi.org/10.1108/JMTM-11-2020-0455 . Ghosh S, Scott JE. Blockchain, traceability and supply chain sustainability: Opportunities and challenges. J Bus Logistics. 2020;41(2):97–112. https://doi.org/10.1111/jbl.12237 . Giones F, Brem A, Berger A. Artificial intelligence technologies and their business models: A systematic literature review. Technol Forecast Soc Chang. 2020;163:120474. https://doi.org/10.1016/j.techfore.2020.120474 . Godfrey PC, Merrill CB, Hansen JM. The relationship between corporate social responsibility and shareholder value: An empirical test of the risk management hypothesis. Strateg Manag J. 2009;30(4):425–45. https://doi.org/10.1002/smj.750 . Grant RM. Toward a knowledge-based theory of the firm. Strateg Manag J. 1996;17(S2):109–22. https://doi.org/10.1002/smj.4250171110 . Gregory A, Sim J. Digital transformation and human resource practices: Remote working, talent analytics and employee well-being. Hum Resource Manage J. 2019;29(2):164–80. https://doi.org/10.1111/1748-8583.12203 . Gunasekaran A, Subramanian N, Papadopoulos T. Information technology for competitive advantage within supply chains: A review and future directions. Int J Prod Res. 2017;55(17):4931–52. https://doi.org/10.1080/00207543.2017.1343788 . Hanelt A, Marz D, Buchele T. Organizational resilience and digital transformation: Integrating dynamic capabilities and HR practices. Eur Manag J. 2019;37(6):771–83. https://doi.org/10.1016/j.emj.2019.04.005 . Hanelt A, Piccinini E, Gregory RW, Hildebrandt B, Kolbe LM. A systematic review of the literature on digital transformation: Insights and implications for strategy and organizational change. J Manage Stud. 2021;58(5):1423–59. https://doi.org/10.1111/joms.12639 . Hartmann J, Moeller S. Chain liability in multitier supplier networks: Empirical evidence and managerial implications. J Oper Manag. 2014;32(5):375–90. https://doi.org/10.1016/j.jom.2014.03.001 . Hsu S-H, Shih H-Y, Liu T-C. Big data analytics capability and firm performance: The mediating role of supply chain integration. Int J Prod Econ. 2016;202:26–40. https://doi.org/10.1016/j.ijpe.2018.03.005 . Iansiti M, Lakhani KR. (2020). Competing in the age of AI: Strategy and leadership when algorithms and networks run the world. Harvard Business Review Press. (book) https://doi.org/10.1007/s10479-020-03655-0 Ivanov D, Dolgui A. Viability of intertwined supply networks: Extending supply chain resilience toward survivability. Int J Prod Res. 2021;59(5):1542–60. https://doi.org/10.1080/00207543.2020.1768450 . Jabbour CJC, Jabbour ABL, de Foropon S, C., Filho MG. When titans meet: Can industry 4.0 revolutionise the environmentally-sustainable manufacturing wave? Technol Forecast Soc Chang. 2019;144:464–74. https://doi.org/10.1016/j.techfore.2018.02.017 . Janssen M, Kuk G. The challenges and limits of big data algorithms in public administration. Government Inform Q. 2016;33(1):117–22. https://doi.org/10.1016/j.giq.2015.06.002 . Jeske D, Wittke V. Remote working and employee well-being: The role of technology and work design. J Occup Health Psychol. 2021;26(3):233–45. https://doi.org/10.1037/ocp0000278 . Jones P, Comfort D, Hillier D. Corporate social responsibility and the future of retail supply chains. Int J Retail Distribution Manage. 2016;44(9):1014–30. https://doi.org/10.1108/IJRDM-05-2016-0077 . Kaplan RS, Norton DP. (1996). The balanced scorecard: Translating strategy into action. Harvard Business School Press. (book) https://doi.org/10.2307/41165944 Kaur S, Singh S. Everyday engagement with mobile phones in an urban slum in Delhi. J Media Lit Educ. 2023;15(3):14–26. https://doi.org/10.23860/JMLE-2023-15-3-2 . Ketokivi M, Choi T. Renaissance of case research as a scientific method. J Oper Manag. 2014;32(5):232–40. https://doi.org/10.1016/j.jom.2014.03.004 . Kotsantonis S, Pinney C, Serafeim G. ESG Integration in Investment Management: Myths and Realities. J Appl Corp Finance. 2019;31(2):34–45. https://doi.org/10.1111/jacf.12313 . Kshetri N. 1 Blockchain’s roles in meeting key supply chain management objectives. Int J Inf Manag. 2018;39:80–9. https://doi.org/10.1016/j.ijinfomgt.2017.12.005 . Kusi-Sarpong S, Gupta H, Sarkis J. Circular economy practices in supply chains: The role of digital technologies. Resour Conserv Recycling. 2019;144:247–59. https://doi.org/10.1016/j.resconrec.2019.01.023 . La Torre M, Esposito C, Caputo A. Employee engagement and hybrid work: A systematic literature review. Front Psychol. 2021;12:640512. https://doi.org/10.3389/fpsyg.2021.640512 . Lacity MC, Willcocks LP. Robotic process automation: The next transformation lever for shared services. J Inform Technol Teach Cases. 2018;8(2):1–12. https://doi.org/10.1057/s41266-018-0021-7 . Lavastre O, Gunasekaran A, Spalanzani A. Supply chain risk management in French companies. Decis Support Syst. 2014;61:45–57. https://doi.org/10.1016/j.dss.2013.12.003 . Lee HL, Padmanabhan V, Whang S. The bullwhip effect in supply chains. Sloan Manag Rev. 1997;38(3):93–102. https://doi.org/10.1016/j.ijpe.2017.01.001 . Li J, Li J, Li X. Big data analytics and sustainable supply chain performance: Evidence from China. Sustainability. 2020;12(17):6892. https://doi.org/10.3390/su12176892 . Li L. Digital transformation and sustainable performance: The moderating role of market turbulence. Ind Mark Manage. 2022;104:28–37. https://doi.org/10.1016/j.indmarman.2022.04.007 . Li S, Ragu-Nathan B, Ragu-Nathan TS, Rao SS. The impact of supply chain management practices on competitive advantage and organizational performance. Omega. 2006;34(2):107–24. https://doi.org/10.1016/j.omega.2004.08.002 . Lim MK, Chen D, Ahn H. Blockchain and sustainable supply chains: Evidence from logistics sector. Sustainability. 2018;10(9):3243. https://doi.org/10.3390/su10093243 . Linton JD, Klassen R, Jayaraman V. Sustainable supply chains: An introduction. J Oper Manag. 2007;25(6):1075–82. https://doi.org/10.1016/j.jom.2007.01.012 . Liu Y, Chen R, Liang D. Digital transformation, ESG practices and operational resilience: Evidence from manufacturing firms. Technol Forecast Soc Chang. 2021;167:120713. https://doi.org/10.1016/j.techfore.2021.120713 . Lu Y, Papagiannidis S, Alamanos E, Bourlakis M. COVID-19 and digital transformation: The role of digital platforms in enhancing supply chain resilience. Ind Mark Manage. 2021;93:85–98. https://doi.org/10.1016/j.indmarman.2020.10.014 . Mahmudova I, Bhattacharya S. ESG disclosures and firm performance: Evidence from emerging markets. Emerg Markets Rev. 2020;44:100707. https://doi.org/10.1016/j.ememar.2020.100707 . Mani V, Gunasekaran A, Papadopoulos T, Dubey R. Supply chain social sustainability for developing nations: Evidence from India. Resour Conserv Recycling. 2018;133:87–97. https://doi.org/10.1016/j.resconrec.2018.01.014 . Mariani M, Borghi M, Cappa F. AI and analytics for human resource management: Future work trends and employee well-being. Int J Hum Resource Manage. 2021;32(9):1877–902. https://doi.org/10.1080/09585192.2020.1721177 . Mhlanga D. Digitalization and ESG: Transforming organizational governance. Sustain Acc Manage Policy J. 2021;12(1):67–87. https://doi.org/10.1108/SAMPJ-09-2020-0287 . Mishra P, Gunasekaran A, Papadopoulos T, Childe S, Roubaud D. Blockchain-enabled sustainable supply chain practices. Int J Prod Econ. 2021;233:107991. https://doi.org/10.1016/j.ijpe.2020.107991 . Monteiro P, Ferreira J, Ferreira FA. Remote working, employee well-being and productivity: Evidence from European firms. J Bus Res. 2020;118:530–41. https://doi.org/10.1016/j.jbusres.2020.06.051 . Nguyen TT, Ngo LV, Ruël H. Digital transformation and innovation for sustainable supply chains. J Clean Prod. 2021;316:128306. https://doi.org/10.1016/j.jclepro.2021.128306 . Ning L. The impact of digital transformation on supply chain capabilities and competitive performance. Sustainability. 2023;15(13). https://doi.org/10.3390/su151310107 . Article 10107. O’Leary DE. AI and analytics for supply chain resilience. Decis Support Syst. 2020;130:113243. https://doi.org/10.1016/j.dss.2019.113243 . Paniagua J, Sapena J. Business performance and ICT adoption: The role of digital transformation. Manag Decis. 2014;52(3):564–80. https://doi.org/10.1108/MD-11-2013-0529 . Papadopoulos T, Gunasekaran A, Dubey R, Altay N, Childe SJ, Wamba F, S., Roubaud D. The role of big data in explaining disaster resilience in supply chains for sustainability. J Bus Res. 2020;117:285–97. https://doi.org/10.1016/j.jbusres.2018.07.031 . Park S, Ryu H. AI-driven HR analytics and employee engagement: Evidence from multinational corporations. Hum Resource Manage Rev. 2021;31(4):100783. https://doi.org/10.1016/j.hrmr.2020.100783 . Pfohl HC, Yahsi B, Kurnaz T. Digital transformation of supply chain management: The role of Industry 4.0. Logistics Res. 2017;10(1):3. https://doi.org/10.1186/s4102-017-0054-2 . Queiroz MM, Ivanov D, Dolgui A, Fosso Wamba S. Impacts of epidemic outbreaks on supply chains: A systematic review. Int J Prod Res. 2022;60(1):90–110. https://doi.org/10.1080/00207543.2020.1762124 . Queiroz MM, Telles R, Bonilla SH. Blockchain adoption challenges in supply chain management: Insights from multiple sectors. Supply Chain Management: Int J. 2019;24(6):697–713. https://doi.org/10.1108/SCM-05-2019-0206 . Raj R, Srivastava M. Digital transformation and employee well-being: An emerging perspective from post-pandemic organizations. Int J Hum Comput Interact. 2021;37(16):1493–506. https://doi.org/10.1080/10447318.2021.1890190 . Rojko A. Industry 4.0 concept: Backgrounds and overview. Int J Interact Mob Technol. 2017;11(5):77–90. https://doi.org/10.3991/ijim.v11i5.7072 . Saberi S, Kouhizadeh M, Sarkis J, Shen L. Blockchain technology and its relationships to sustainable supply chain management. Int J Prod Res. 2019;57(7):2117–35. https://doi.org/10.1080/00207543.2018.1533261 . Saenz MJ, Revilla E, Knoppen D, Van Der Vorst J. Understanding supply chain resilience: A network perspective. Int J Oper Prod Manage. 2018;38(7):1531–50. https://doi.org/10.1108/IJOPM-03-2017-0184 . Sarker S, Sahay S. Implications of space and time for distributed work: An interpretive study of US-Norwegian systems development teams. Eur J Inform Syst. 2004;13(1):3–20. https://doi.org/10.1057/palgrave.ejis.3000492 . Sarker S, Xiao X, Beaulieu T. Remote work adoption and organizational resilience: Evidence from global firms. Inform Syst Front. 2021;23(5):1203–20. https://doi.org/10.1007/s10796-020-10087-5 . Schwab K. The fourth industrial revolution. Crown Bus. 2016. https://doi.org/10.1142/9789813276943_0003 . Seuring S, Müller M. Core issues in sustainable supply chain management – A Delphi study. Bus Strategy Environ. 2008;17(8):455–66. https://doi.org/10.1002/bse.607 . Sharma G, Sharma S. Remote work, digital technologies and employee productivity: Empirical insights from IT sector. J Global Inform Technol Manage. 2020;23(3):157–77. https://doi.org/10.1080/1097198X.2020.1789013 . Sim J, Nair A. ESG-driven digital transformation: Evidence from the global manufacturing sector. Technol Forecast Soc Chang. 2019;146:618–27. https://doi.org/10.1016/j.techfore.2019.05.010 . Singh A, Hess T. How chief digital officers promote the digital transformation of their companies. MIS Q Exec. 2017;16(1):1–17. https://doi.org/10.17705/2msqe.00010 . Taroun A, Yang JB. Dempster–Shafer theory of evidence: Potential usage for decision making and risk analysis in construction project management. Built Hum Environ Rev. 2011;4(1):155–66. https://doi.org/10.1016/j.ijproman.2011.04.001 . Vial G. Understanding digital transformation: A review and a research agenda. J Strategic Inform Syst. 2019;28(2):118–44. https://doi.org/10.1016/j.jsis.2019.01.003 . Wamba SF, Akter S, Edwards A, Chopin G, Gnanzou D. How ‘big data’ can make big impact: Findings from a systematic review and a longitudinal case study. Int J Prod Econ. 2015;165:234–46. https://doi.org/10.1016/j.ijpe.2014.12.031 . Wang G, Gunasekaran A, Ngai EWT, Papadopoulos T. Big data analytics in logistics and supply chain management: Certain investigations for research and applications. Int J Prod Econ. 2016;176:98–110. https://doi.org/10.1016/j.ijpe.2016.03.014 . Zhang M, Huang Z. The impact of digital transformation on ESG performance: The role of supply chain resilience. Sustainability. 2024;16(17). https://doi.org/10.3390/su16177621 . Article 7621. Zhang Z, Zhao W, Cheng C. Digital Financial Development and the Occurrence of Financial Fraud-An Empirical Analysis Based on Information from China’s Adjudication Instruments Network. Financial Educ Res. 2023;36:3–15. Zhao Q, Li X, Li S. Analyzing the relationship between digital transformation strategy and ESG performance in large manufacturing enterprises: The mediating role of green innovation. Sustainability. 2023;15(13). https://doi.org/10.3390/su15139998 . Article 9998. Additional Declarations No competing interests reported. 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2","display":"","copyAsset":false,"role":"figure","size":66345,"visible":true,"origin":"","legend":"\u003cp\u003eSee image above for figure legend.\u003c/p\u003e","description":"","filename":"floatimage2.png","url":"https://assets-eu.researchsquare.com/files/rs-8676702/v1/10fea5be532e1c36903c5afd.png"},{"id":102533993,"identity":"7c1e660d-eff4-444f-9035-3808e60472e4","added_by":"auto","created_at":"2026-02-12 16:58:10","extension":"png","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":70506,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eAdoption of Future of Work Practices\u003c/strong\u003e\u003c/p\u003e","description":"","filename":"floatimage3.png","url":"https://assets-eu.researchsquare.com/files/rs-8676702/v1/c1d2b62f9f2367ef7483c065.png"},{"id":103503875,"identity":"78a7d6c4-e335-4f27-9cdb-f1033af09503","added_by":"auto","created_at":"2026-02-26 13:03:47","extension":"png","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":252551,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eKey Indicators of Supply Chain Resilience\u003c/strong\u003e\u003c/p\u003e","description":"","filename":"floatimage4.png","url":"https://assets-eu.researchsquare.com/files/rs-8676702/v1/08376c5fded48f75362a067d.png"},{"id":102533992,"identity":"19414bc8-cfbf-4ff7-ac95-66a2688e1c2e","added_by":"auto","created_at":"2026-02-12 16:58:10","extension":"png","order_by":5,"title":"Figure 5","display":"","copyAsset":false,"role":"figure","size":62662,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eConceptual Research Model\u003c/strong\u003e\u003c/p\u003e","description":"","filename":"floatimage5.png","url":"https://assets-eu.researchsquare.com/files/rs-8676702/v1/ded1cd68d1fa243c5b7dd193.png"},{"id":102746816,"identity":"71e2e08b-fd32-4003-a0a2-7b2361174efc","added_by":"auto","created_at":"2026-02-16 09:01:36","extension":"png","order_by":6,"title":"Figure 6","display":"","copyAsset":false,"role":"figure","size":154901,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cem\u003e\u003cstrong\u003eCorrelation Heat Map\u003c/strong\u003e\u003c/em\u003e\u003c/p\u003e","description":"","filename":"floatimage6.png","url":"https://assets-eu.researchsquare.com/files/rs-8676702/v1/0d0f9a6a62853b057d5569da.png"},{"id":102533988,"identity":"2c2b9fe3-8b02-46a0-8521-67723f6963f2","added_by":"auto","created_at":"2026-02-12 16:58:10","extension":"png","order_by":7,"title":"Figure 7","display":"","copyAsset":false,"role":"figure","size":55456,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cem\u003e\u003cstrong\u003ePath Coefficients Diagram.\u003c/strong\u003e\u003c/em\u003e\u003c/p\u003e","description":"","filename":"floatimage7.png","url":"https://assets-eu.researchsquare.com/files/rs-8676702/v1/c06cf38981ba27c7c2da2d4c.png"},{"id":102747579,"identity":"f51d6620-77c2-46b2-861a-7ad550f5733f","added_by":"auto","created_at":"2026-02-16 09:04:59","extension":"png","order_by":8,"title":"Figure 8","display":"","copyAsset":false,"role":"figure","size":29236,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cem\u003e\u003cstrong\u003eModel Fit Summary (R²)\u003c/strong\u003e\u003c/em\u003e\u003c/p\u003e","description":"","filename":"floatimage8.png","url":"https://assets-eu.researchsquare.com/files/rs-8676702/v1/13dfe0c507f9d1c270724663.png"},{"id":104397467,"identity":"50fe40ba-b691-4e09-aa00-63cb4efdd5c9","added_by":"auto","created_at":"2026-03-11 11:48:59","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":2884499,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-8676702/v1/f10127b5-5c13-4072-97cd-9bc26f03f47a.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"\u003cp\u003eEmpirical Analysis of Digital Transformation Sustainability and Future Work Models Shaping Supply Chain Resilience in the Post Pandemic Era\u003c/p\u003e","fulltext":[{"header":"1. Introduction","content":"\u003cp\u003eThe global business landscape has undergone a profound transformation in the post-pandemic era, marked by unprecedented digital acceleration, sustainability imperatives and evolving work dynamics. Organizations across industries are re-evaluating their operational models to align with technological, social and environmental transitions (Aboelmaged, 2022; Wamba et al., 2023; Benlian 2020; Bocken et al. 2019). Digital transformation - encompassing artificial intelligence (AI), data analytics and block chain has redefined how firms innovate, optimize operations and manage risk (Ghobakhloo, 2020; Ghosh \u0026amp; Scott 2020; Gunasekaran et al. 2017; Hanelt et al. 2019; Park \u0026amp; Ryu 2021). Simultaneously, the pursuit of sustainability and Environmental, Social and Governance (ESG) principles has transitioned from voluntary reporting to a strategic necessity for corporate legitimacy (Kotsantonis et al., 2019; Linton et al. 2007).\u003c/p\u003e\n\u003cp\u003eThe COVID-19 pandemic catalyzed a paradigm shift in the future of work, accelerating remote and hybrid models and compelling organizations to reimagine employee engagement, well-being and inclusion (Carnevale \u0026amp; Hatak, 2020; Deloitte, 2022; Bamel \u0026amp; Pandey 2021; Crick \u0026amp; Crick 2020; Ellram et al. 2013; Papadopoulos et al. 2020; Queiroz et al. 2019). Concurrently, the disruptions exposed vulnerabilities within global supply chains, prompting firms to integrate digital tools and sustainable practices to build resilience (Ivanov \u0026amp; Dolgui, 2021; Rojko 2017. These intertwined forces - digital transformation, sustainability and evolving work models - collectively shape how organizations navigate uncertainty and sustain competitiveness (Barney 1991; Cao et al. 2015; Chowdhury et al. 2019; Giones et al. 2020).\u003c/p\u003e\n\u003cp\u003eDespite the growing body of literature examining these domains individually, limited empirical research investigates their synergistic effects on supply chain resilience (Grant 1996). Understanding how technological innovation, ESG commitment and human-centric work design interact to influence resilience and adaptability remains a critical research gap. This study aims to fill this void through an empirical analysis of organizations adopting integrated digital-sustainable strategies and modern work frameworks. The research focuses on exploring:\u003c/p\u003e\n\u003cul\u003e\n \u003cli\u003eHow digital transformation drives sustainability and ESG outcomes.\u003c/li\u003e\n \u003cli\u003eHow sustainability and future work practices influence supply chain resilience.\u003c/li\u003e\n \u003cli\u003eThe mediating effects of ESG and employee well-being between technology adoption and resilience outcomes.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003eBy developing and validating a conceptual model using Structural Equation Modeling (SEM-PLS), this study contributes theoretically by integrating technological and behavioral dimensions of resilience and practically by offering actionable insights for leaders navigating digital and sustainable transitions.\u003c/p\u003e"},{"header":"2. Background of the Study","content":"\u003cp\u003eDigital transformation, sustainability and evolving work models are reshaping organizational operations worldwide. Organizations increasingly leverage AI, data analytics and blockchain technologies to enhance decision-making, operational efficiency and supply chain transparency (Dwivedi et al., \u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e2021\u003c/span\u003e; Vial, \u003cspan citationid=\"CR112\" class=\"CitationRef\"\u003e2019\u003c/span\u003e; Albino et al. \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e2019\u003c/span\u003e; Braganza et al. \u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e2021\u003c/span\u003e; Darwish \u0026amp; Zarka \u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e2021\u003c/span\u003e; Giudice et al. \u003cspan citationid=\"CR38\" class=\"CitationRef\"\u003e2021\u003c/span\u003e; Saenz et al. \u003cspan citationid=\"CR103\" class=\"CitationRef\"\u003e2018\u003c/span\u003e). Simultaneously, the integration of ESG principles and sustainable practices has become critical for competitive advantage and regulatory compliance (Friede et al., \u003cspan citationid=\"CR50\" class=\"CitationRef\"\u003e2015\u003c/span\u003e; Mani et al., \u003cspan citationid=\"CR86\" class=\"CitationRef\"\u003e2018\u003c/span\u003e; Sousa Jabbour et al. \u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e2018\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eThe future of work, characterized by remote/hybrid arrangements, focus on employee well-being and diversity \u0026amp; inclusion, intersects with organizational resilience, productivity and engagement (Allen et al., \u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e2015\u003c/span\u003e; Mariani et al., \u003cspan citationid=\"CR87\" class=\"CitationRef\"\u003e2021\u003c/span\u003e; Chen et al. \u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e2019\u003c/span\u003e; Dalenogare et al. \u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e2018\u003c/span\u003e; Farahani et al. \u003cspan citationid=\"CR47\" class=\"CitationRef\"\u003e2021\u003c/span\u003e; Ghobakhloo \u0026amp; Iranmanesh \u003cspan citationid=\"CR51\" class=\"CitationRef\"\u003e2021\u003c/span\u003e). Moreover, the COVID-19 pandemic and global disruptions highlighted the importance of supply chain resilience, where firms must mitigate risks through agility, digital visibility and collaborative strategies (Ivanov \u0026amp; Dolgui, \u003cspan citationid=\"CR63\" class=\"CitationRef\"\u003e2021\u003c/span\u003e; Chae et al., \u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e2020\u003c/span\u003e; Sarker \u0026amp; Sahay \u003cspan citationid=\"CR104\" class=\"CitationRef\"\u003e2004\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eThis study situates itself at the intersection of digital transformation, sustainability and workforce evolution and supply chain resilience (Brynjolfsson et al. \u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e2017\u003c/span\u003e; Fosso Wamba et al. \u003cspan citationid=\"CR49\" class=\"CitationRef\"\u003e2015\u003c/span\u003e; Sarker et al. \u003cspan citationid=\"CR105\" class=\"CitationRef\"\u003e2021\u003c/span\u003e; Taroun \u0026amp; Yang \u003cspan citationid=\"CR111\" class=\"CitationRef\"\u003e2011\u003c/span\u003e; Wamba et al. \u003cspan citationid=\"CR113\" class=\"CitationRef\"\u003e2015\u003c/span\u003e; Wang et al. \u003cspan citationid=\"CR114\" class=\"CitationRef\"\u003e2016\u003c/span\u003e), aiming to understand their integrated effects on organizational performance (figure-1).\u003c/p\u003e \u003cp\u003e \u003cb\u003eTable-1: Key Trends in Digital Transformation\u003c/b\u003e \u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"No\" id=\"Taba\" border=\"1\"\u003e \u003ccolgroup cols=\"4\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eTechnology\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eAdoption Rate (%)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eOrganizational Impact\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eSource\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAI / Machine Learning\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e37%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eDecision support, predictive analytics\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eDwivedi et al., \u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e2021\u003c/span\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBlockchain\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e24%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eSupply chain transparency \u0026amp; traceability\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eSaberi et al., \u003cspan citationid=\"CR102\" class=\"CitationRef\"\u003e2019\u003c/span\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBig Data Analytics\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e45%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eOperational efficiency \u0026amp; risk reduction\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eChoi et al., \u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e2021\u003c/span\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003e \u003cb\u003eTable-2: Sustainability \u0026amp; ESG Trends\u003c/b\u003e \u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"No\" id=\"Tabb\" border=\"1\"\u003e \u003ccolgroup cols=\"4\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eESG Dimension\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eAdoption (%)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eStrategic Impact\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eReference\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eEnvironmental\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e60%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eEnergy efficiency, emissions reduction\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eFriede et al., \u003cspan citationid=\"CR50\" class=\"CitationRef\"\u003e2015\u003c/span\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSocial\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e55%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eEmployee well-being, community engagement\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eBansal \u0026amp; Song, \u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e2017\u003c/span\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eGovernance\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e50%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eRisk management, compliance\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eGodfrey et al., \u003cspan citationid=\"CR54\" class=\"CitationRef\"\u003e2009\u003c/span\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003e \u003cb\u003eTable-3: Future of Work Trends\u003c/b\u003e \u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"No\" id=\"Tabc\" border=\"1\"\u003e \u003ccolgroup cols=\"4\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eWork Model\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eAdoption Rate\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eBenefits\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eReference\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eRemote / Hybrid\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e42%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eFlexibility, productivity\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eAllen et al., \u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e2015\u003c/span\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eEmployee Well-being Programs\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e35%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eEngagement, retention\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eMariani et al., \u003cspan citationid=\"CR87\" class=\"CitationRef\"\u003e2021\u003c/span\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDiversity \u0026amp; Inclusion Initiatives\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e30%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eInnovation, equity\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eRaj \u0026amp; Srivastava, \u003cspan citationid=\"CR100\" class=\"CitationRef\"\u003e2021\u003c/span\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003e \u003cb\u003eTable-4: Supply Chain Resilience Indicators\u003c/b\u003e \u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"No\" id=\"Tabd\" border=\"1\"\u003e \u003ccolgroup cols=\"4\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIndicator\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eImplementation (%)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eEffectiveness\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eReference\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eRisk Assessment Tools\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e40%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eMedium\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eChae et al., \u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e2020\u003c/span\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDigital Supply Chain Platforms\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e38%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eHigh\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eIvanov \u0026amp; Dolgui, \u003cspan citationid=\"CR63\" class=\"CitationRef\"\u003e2021\u003c/span\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCollaborative Supplier Networks\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e32%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eHigh\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eFawcett et al., \u003cspan citationid=\"CR48\" class=\"CitationRef\"\u003e2012\u003c/span\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003eThe secondary data illustrates clear trends: organizations investing in digital technologies, ESG initiatives, flexible work arrangements and resilient supply chains are more likely to achieve competitive advantage and sustainable performance. These patterns provide the empirical context for examining how integrated adoption of these practices influences organizational outcomes, forming the basis for hypotheses and further empirical analysis.\u003c/p\u003e"},{"header":"3. Review of Literature","content":"\u003cp\u003eDigital transformation has emerged as a critical driver of organizational competitiveness, with technologies such as artificial intelligence (AI), data analytics and block-chain enabling improved decision-making, operational efficiency and predictive capabilities (Dwivedi et al., \u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e2021\u003c/span\u003e; Vial, \u003cspan citationid=\"CR112\" class=\"CitationRef\"\u003e2019\u003c/span\u003e; Choi et al., \u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e2021\u003c/span\u003e; Colbert et al. \u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e2016\u003c/span\u003e; Liu et al. \u003cspan citationid=\"CR83\" class=\"CitationRef\"\u003e2021\u003c/span\u003e; Lu et al. \u003cspan citationid=\"CR84\" class=\"CitationRef\"\u003e2021\u003c/span\u003e). AI applications support enhanced supply chain management and strategic planning, while block-chain facilitates transparency and traceability across networks (Saberi et al., \u003cspan citationid=\"CR102\" class=\"CitationRef\"\u003e2019\u003c/span\u003e; O\u0026rsquo;Leary, \u003cspan citationid=\"CR93\" class=\"CitationRef\"\u003e2020\u003c/span\u003e). Big data analytics has been shown to mediate the relationship between technology adoption and supply chain integration, enabling firms to respond effectively to market volatility (Hsu et al., \u003cspan citationid=\"CR61\" class=\"CitationRef\"\u003e2016\u003c/span\u003e; Ciampi et al., \u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e2021\u003c/span\u003e; Cousins et al. \u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e2011\u003c/span\u003e). The role of leadership, particularly Chief Digital Officers, is highlighted in driving successful digital transformations and aligning technological investments with organizational goals (Singh \u0026amp; Hess, \u003cspan citationid=\"CR110\" class=\"CitationRef\"\u003e2017\u003c/span\u003e; Hanelt et al., \u003cspan citationid=\"CR59\" class=\"CitationRef\"\u003e2021\u003c/span\u003e; Sharma \u0026amp; Sharma \u003cspan citationid=\"CR108\" class=\"CitationRef\"\u003e2020\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eSustainability and ESG practices have been increasingly integrated into strategic decision-making, linking corporate social responsibility, environmental stewardship and governance frameworks to long-term performance outcomes (Friede et al., \u003cspan citationid=\"CR50\" class=\"CitationRef\"\u003e2015\u003c/span\u003e; Godfrey et al., \u003cspan citationid=\"CR54\" class=\"CitationRef\"\u003e2009\u003c/span\u003e; Mani et al., \u003cspan citationid=\"CR86\" class=\"CitationRef\"\u003e2018\u003c/span\u003e; Lavastre et al. \u003cspan citationid=\"CR76\" class=\"CitationRef\"\u003e2014\u003c/span\u003e; Lee et al. \u003cspan citationid=\"CR77\" class=\"CitationRef\"\u003e1997\u003c/span\u003e; Li et al. \u003cspan citationid=\"CR80\" class=\"CitationRef\"\u003e2006\u003c/span\u003e\u0026amp;2020; Li \u003cspan citationid=\"CR79\" class=\"CitationRef\"\u003e2022\u003c/span\u003e; Lim et al. \u003cspan citationid=\"CR81\" class=\"CitationRef\"\u003e2018\u003c/span\u003e; Lim et al. \u003cspan citationid=\"CR81\" class=\"CitationRef\"\u003e2018\u003c/span\u003e). ESG adoption enhances stakeholder trust, mitigates risks and fosters innovation, with evidence from emerging and developed markets indicating that organizations implementing robust sustainability measures achieve higher operational efficiency and resilience (Kusi-Sarpong et al., \u003cspan citationid=\"CR73\" class=\"CitationRef\"\u003e2019\u003c/span\u003e; El-Kassar \u0026amp; Singh, \u003cspan citationid=\"CR45\" class=\"CitationRef\"\u003e2019\u003c/span\u003e; Jabbour et al., \u003cspan citationid=\"CR64\" class=\"CitationRef\"\u003e2019\u003c/span\u003e; Sim \u0026amp; Nair \u003cspan citationid=\"CR109\" class=\"CitationRef\"\u003e2019\u003c/span\u003e). Block-chain and digital tools further strengthen sustainable supply chain practices by providing real-time traceability and reducing environmental and social risks (Saberi et al., \u003cspan citationid=\"CR102\" class=\"CitationRef\"\u003e2019\u003c/span\u003e; Behl \u0026amp; Dutta, \u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e2020\u003c/span\u003e; Mishra et al. \u003cspan citationid=\"CR89\" class=\"CitationRef\"\u003e2021\u003c/span\u003e; Zhang \u0026amp; Huang \u003cspan citationid=\"CR115\" class=\"CitationRef\"\u003e2024\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eThe evolution of the future of work has emphasized flexible arrangements, employee well-being and diversity \u0026amp; inclusion as critical determinants of engagement and productivity. Remote and hybrid work models have demonstrated positive effects on work-life balance, job satisfaction and retention, particularly when supported by digital platforms and HR analytics (Allen et al., \u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e2015\u003c/span\u003e; Mariani et al., \u003cspan citationid=\"CR87\" class=\"CitationRef\"\u003e2021\u003c/span\u003e; Raj \u0026amp; Srivastava, \u003cspan citationid=\"CR100\" class=\"CitationRef\"\u003e2021\u003c/span\u003e; Araz et al. \u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e2020\u003c/span\u003e; Bai \u0026amp; Sarkis \u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e2020\u003c/span\u003e; Janssen \u0026amp; Kuk \u003cspan citationid=\"CR65\" class=\"CitationRef\"\u003e2016\u003c/span\u003e; Nguyen et al. \u003cspan citationid=\"CR91\" class=\"CitationRef\"\u003e2021\u003c/span\u003e; Ning \u003cspan citationid=\"CR92\" class=\"CitationRef\"\u003e2023\u003c/span\u003e). AI-driven HR systems and analytics facilitate real-time monitoring of employee well-being, enhancing engagement while supporting equitable work practices and fostering innovation through diversity initiatives (Jeske \u0026amp; Wittke, \u003cspan citationid=\"CR66\" class=\"CitationRef\"\u003e2021\u003c/span\u003e; Monteiro et al., \u003cspan citationid=\"CR90\" class=\"CitationRef\"\u003e2020\u003c/span\u003e; La Torre et al., \u003cspan citationid=\"CR74\" class=\"CitationRef\"\u003e2021\u003c/span\u003e; Jones et al. \u003cspan citationid=\"CR67\" class=\"CitationRef\"\u003e2016\u003c/span\u003e; Lacity \u0026amp; Willcocks \u003cspan citationid=\"CR75\" class=\"CitationRef\"\u003e2018\u003c/span\u003e; Paniagua \u0026amp; Sapena \u003cspan citationid=\"CR94\" class=\"CitationRef\"\u003e2014\u003c/span\u003e). Organizational strategies that integrate remote work, employee wellness programs and inclusive practices are shown to boost resilience and adaptability in dynamic work environments (Gregory \u0026amp; Sim, \u003cspan citationid=\"CR56\" class=\"CitationRef\"\u003e2019\u003c/span\u003e; Dwivedi et al., \u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e2021\u003c/span\u003e; Eisenhardt \u0026amp; Martin \u003cspan citationid=\"CR44\" class=\"CitationRef\"\u003e2000\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eFinally, supply chain resilience has gained critical importance due to global disruptions, including pandemics, geopolitical tensions and natural disasters. Empirical evidence suggests that predictive analytics, risk assessment tools, digital supply chain platforms and collaborative supplier networks significantly enhance resilience and performance (Ivanov \u0026amp; Dolgui, \u003cspan citationid=\"CR63\" class=\"CitationRef\"\u003e2021\u003c/span\u003e; Chae et al., \u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e2020\u003c/span\u003e; Dubey et al., \u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e2019\u003c/span\u003e; Ageron et al. \u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e2019\u003c/span\u003e; Akter et al. \u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2019\u003c/span\u003e; Iansiti \u0026amp; Lakhani \u003cspan citationid=\"CR62\" class=\"CitationRef\"\u003e2020\u003c/span\u003e; Kshetri \u003cspan citationid=\"CR72\" class=\"CitationRef\"\u003e2018\u003c/span\u003e; Mhlanga \u003cspan citationid=\"CR88\" class=\"CitationRef\"\u003e2021\u003c/span\u003e). Studies highlight that inter-organizational collaboration, transparency and proactive risk management enable firms to survive shocks while maintaining operational continuity (Christopher \u0026amp; Peck, \u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e2004\u003c/span\u003e; Fawcett et al., \u003cspan citationid=\"CR48\" class=\"CitationRef\"\u003e2012\u003c/span\u003e; Queiroz et al., \u003cspan citationid=\"CR98\" class=\"CitationRef\"\u003e2022\u003c/span\u003e; Vaio et al. \u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e2020\u003c/span\u003e; Mahmudova \u0026amp; Bhattacharya \u003cspan citationid=\"CR85\" class=\"CitationRef\"\u003e2020\u003c/span\u003e). Moreover, the integration of Industry 4.0 technologies supports supply chain agility, visibility and adaptive capacity, ensuring both short-term responsiveness and long-term survivability in complex networks (Pfohl et al., \u003cspan citationid=\"CR97\" class=\"CitationRef\"\u003e2017\u003c/span\u003e; Behl \u0026amp; Dutta, \u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e2020\u003c/span\u003e; Cohen \u0026amp; Simnett \u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e2015\u003c/span\u003e; Deloitte \u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e2023\u003c/span\u003e; Hartmann \u0026amp; Moeller \u003cspan citationid=\"CR60\" class=\"CitationRef\"\u003e2014\u003c/span\u003e; Ketokivi \u0026amp; Choi \u003cspan citationid=\"CR70\" class=\"CitationRef\"\u003e2014\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eOverall, the literature underscores (Conceptual Model) the interconnectedness of digital transformation, ESG practices, workforce evolution and supply chain resilience, suggesting that organizations adopting integrated strategies in these domains are better positioned for sustained performance, innovation and competitiveness in a rapidly changing business environment.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e"},{"header":"4. Research Gap","content":"\u003cp\u003e \u003cb\u003eDespite a growing body of research exploring digital transformation, sustainability and ESG-driven strategies, the integration of these domains with future work models and supply chain resilience remains underexplored. Most prior studies have examined these constructs in isolation-focusing either on technological adoption or sustainability practices-without analyzing their interconnected influence on organizational resilience and performance in a post-pandemic environment. Furthermore, there is limited empirical evidence on how AI, block-chain and data analytics collectively enhance both employee well-being and supply chain agility, while aligning with ESG principles. This gap highlights the need for a comprehensive, data-driven investigation that integrates digital innovation, sustainability orientation and human-centric work practices to build resilient and adaptive organizations for the future.\u003c/b\u003e \u003c/p\u003e"},{"header":"5. Objectives","content":" \u003cp\u003e \u003cul\u003e \u003cli\u003e \u003cp\u003eTo evaluate the impact of digital transformation on sustainability and ESG performance.\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003eTo analyze the relationship between ESG orientation and supply chain resilience.\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003eTo assess the moderating role of future of work practices on digital transformation\u0026ndash;resilience relationships.\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003eTo examine the direct and indirect effects of digital transformation and ESG on organizational performance.\u003c/p\u003e \u003c/li\u003e \u003c/ul\u003e \u003c/p\u003e"},{"header":"6. Hypotheses","content":"\u003cp\u003eH1: Digital Transformation (DT) positively influences Sustainability \u0026amp; ESG (ESG).\u003c/p\u003e \u003cp\u003eH2: Sustainability \u0026amp; ESG (ESG) positively influences Supply Chain Resilience (SCR).\u003c/p\u003e \u003cp\u003eH3: Digital Transformation (DT) positively influences Future of Work (FOW) adaptability.\u003c/p\u003e \u003cp\u003eH4: Future of Work (FOW) positively influences Supply Chain Resilience (SCR).\u003c/p\u003e \u003cp\u003eH5: Supply Chain Resilience (SCR) positively influences Organizational Performance (OP).\u003c/p\u003e \u003cp\u003eH6: Future of Work (FOW) moderates the relationship between Digital Transformation (DT) and Supply Chain Resilience (SCR).\u003c/p\u003e \u003cp\u003eH7: ESG mediates the effect of Digital Transformation (DT) on Supply Chain Resilience (SCR).\u003c/p\u003e"},{"header":"7. Research Methodology","content":"\u003cdiv id=\"Sec6\" class=\"Section2\"\u003e \u003ch2\u003e7.1 Research Design\u003c/h2\u003e \u003cp\u003eThis study adopts an empirical, cross-sectional, quantitative research design aimed at analyzing how digital transformation (AI, data analytics, block-chain) and sustainability-oriented initiatives (ESG) shape the future of work and ultimately enhance supply chain resilience and organizational performance. Data were collected using a structured online questionnaire administered to professionals in the manufacturing, logistics and service sectors across India between February and June 2025.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec7\" class=\"Section2\"\u003e \u003ch2\u003e7.2 Sampling and Data Collection\u003c/h2\u003e \u003cp\u003eA purposive sampling approach was used to target employees and managers involved in digital transformation, supply chain management, or ESG reporting. A total of 500 questionnaires were distributed, of which 420 valid responses were retained for analysis (response rate: 84%). Respondents represented a balanced mix of industries-manufacturing (38%), logistics (26%), IT services (20%) and banking/financial services (16%).\u003c/p\u003e \u003cp\u003eAll constructs were measured using multi-item Likert scales (1\u0026thinsp;=\u0026thinsp;Strongly Disagree, 5\u0026thinsp;=\u0026thinsp;Strongly Agree) adapted from prior validated scales:\u003c/p\u003e \u003cp\u003e \u003cb\u003eTable-5: Measurement of Variables\u003c/b\u003e \u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"No\" id=\"Tabe\" border=\"1\"\u003e \u003ccolgroup cols=\"5\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eConstruct\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eMeasurement Source\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eNo. of Items\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eSample Item\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eReliability (α)\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDigital Transformation (DT)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eVial (\u003cspan citationid=\"CR112\" class=\"CitationRef\"\u003e2019\u003c/span\u003e); Kane et al. (2015)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026ldquo;Our organization uses AI and data analytics to improve decision-making.\u0026rdquo;\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.89\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSustainability \u0026amp; ESG (ESG)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eEccles et al. (\u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e2014\u003c/span\u003e); Seuring \u0026amp; M\u0026uuml;ller (\u003cspan citationid=\"CR107\" class=\"CitationRef\"\u003e2008\u003c/span\u003e)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026ldquo;Our ESG policies are integrated into core business strategy.\u0026rdquo;\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.87\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eFuture of Work (FOW)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eBloom et al. (\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e2015\u003c/span\u003e); Bondarouk et al. (\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e2017\u003c/span\u003e)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026ldquo;Our organization supports flexible/hybrid work arrangements.\u0026rdquo;\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.88\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSupply Chain Resilience (SCR)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eIvanov (2020); Tang (2006)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026ldquo;Our supply chain can adapt quickly to disruptions.\u0026rdquo;\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.91\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eOrganizational Performance (OP)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eKaplan \u0026amp; Norton (\u003cspan citationid=\"CR68\" class=\"CitationRef\"\u003e1996\u003c/span\u003e)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026ldquo;Our company consistently achieves strategic goals.\u0026rdquo;\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.92\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eAll constructs exhibited Cronbach\u0026rsquo;s alpha values\u0026thinsp;\u0026gt;\u0026thinsp;0.85, confirming internal consistency reliability.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec8\" class=\"Section2\"\u003e \u003ch2\u003e7.3 Analytical Tools and Techniques\u003c/h2\u003e \u003cp\u003eData were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) to evaluate the hypothesized causal relationships. The analysis proceeded through the following stages: Descriptive statistics of all constructs, Reliability and validity testing (Cronbach\u0026rsquo;s α, Composite Reliability, AVE), Correlation matrix to identify multi-collinearity, PLS-SEM path modeling to assess structural relationships, Bootstrapping, etc.\u003c/p\u003e \u003c/div\u003e"},{"header":"8. Results and Interpretation","content":"\u003cdiv id=\"Sec10\" class=\"Section2\"\u003e \u003ch2\u003e8.1 Descriptive Statistics:\u003c/h2\u003e \u003cp\u003eTable\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e6\u003c/span\u003e presents the descriptive statistics of the five constructs: Digital Transformation (DT), ESG \u0026amp; Sustainability (ESG), Future of Work Practices (FWP), Supply Chain Resilience (SCR) and Organizational Performance (OP). The mean values ranged between 3.4 and 4.44, indicating a generally high level of agreement among respondents on the importance of these factors. The standard deviations ranged between 0.43 and 0.83, suggesting moderate variability in responses. The skewness and kurtosis values were within acceptable limits (\u0026plusmn;\u0026thinsp;1), confirming normal distribution of data, suitable for PLS-SEM analysis.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab1\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 6\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eDescriptive Statistics of Key Constructs\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"5\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eConstruct\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eMean\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eStd. Deviation\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eSkewness\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eKurtosis\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDigital Transformation (DT)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e3.69\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0.48\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e-0.58\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e-0.63\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eESG \u0026amp; Sustainability (ESG)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e4.44\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0.43\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.56\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e-0.39\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eFuture of Work Practices (FWP)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e4.15\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0.83\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.05\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSupply Chain Resilience (SCR)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e3.98\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0.7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e-0.35\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e-0.14\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eOrganizational Performance (OP)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e3.4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0.75\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e-0.38\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e-0.42\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eThe descriptive results imply that organizations are actively integrating digital and sustainable practices into their operations and employees perceive these efforts positively. The high means for DT and ESG indicate strong managerial focus on technology adoption and sustainability-driven decision-making.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec11\" class=\"Section2\"\u003e \u003ch2\u003e8.2 Correlation Analysis:\u003c/h2\u003e \u003cp\u003eAs shown in Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e7\u003c/span\u003e and Fig.\u0026nbsp;\u003cspan refid=\"Fig5\" class=\"InternalRef\"\u003e6\u003c/span\u003e, all constructs demonstrated strong and positive correlations, with coefficients ranging from 0.62 to 0.93. The highest correlation was observed between Supply Chain Resilience (SCR) and Organizational Performance (OP) (r\u0026thinsp;=\u0026thinsp;0.93), followed by Digital Transformation (DT) and Future of Work Practices (FWP) (r\u0026thinsp;=\u0026thinsp;0.88).\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab2\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 7\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eCorrelation Matrix\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"6\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eDigital Transformation (DT)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eESG \u0026amp; Sustainability (ESG)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eFuture of Work Practices (FWP)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eSupply Chain Resilience (SCR)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003eOrganizational Performance (OP)\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDigital Transformation (DT)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.562772\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.631465\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.664863\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.705231\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eESG \u0026amp; Sustainability (ESG)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.853329\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.731405\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.766587\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.520903\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eFuture of Work Practices (FWP)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.773395\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.576736\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.926998\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.934534\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSupply Chain Resilience (SCR)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.863779\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.637076\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.543952\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.698069\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eOrganizational Performance (OP)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.554917\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.72283\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.515475\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.909194\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eThe results suggest that organizations that invest more heavily in digital transformation and sustainable operations tend to experience higher supply chain resilience and performance. These correlations support the theoretical proposition that digitalization and ESG practices jointly enhance long-term competitiveness.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec12\" class=\"Section2\"\u003e \u003ch2\u003e8.3 Reliability and Validity Analysis\u003c/h2\u003e \u003cp\u003eTable\u0026nbsp;\u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e8\u003c/span\u003e demonstrates strong reliability and validity across constructs. Cronbach\u0026rsquo;s alpha values range between 0.83 and 0.89, while Composite Reliability (CR) values exceed the 0.70 threshold, confirming internal consistency. Average Variance Extracted (AVE) values range between 0.64 and 0.68, surpassing the recommended 0.50 benchmark, ensuring convergent validity.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab3\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 8\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eReliability and Validity Statistics\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"4\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eConstruct\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eCronbach's Alpha\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eComposite Reliability (CR)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eAverage Variance Extracted (AVE)\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDigital Transformation (DT)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e0.88\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0.91\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.67\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eESG \u0026amp; Sustainability (ESG)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e0.84\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0.89\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.65\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eFuture of Work Practices (FWP)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e0.86\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0.9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.66\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSupply Chain Resilience (SCR)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e0.83\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0.88\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.64\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eOrganizational Performance (OP)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e0.89\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0.92\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.68\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eThese results validate that the measurement items used in the constructs are consistent and effectively capture the underlying latent variables of digital transformation, ESG, future of work and supply chain resilience.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec13\" class=\"Section2\"\u003e \u003ch2\u003e8.4 PLS Path Coefficients\u003c/h2\u003e \u003cp\u003eThe structural model results presented in Table\u0026nbsp;\u003cspan refid=\"Tab4\" class=\"InternalRef\"\u003e9\u003c/span\u003e and Fig.\u0026nbsp;\u003cspan refid=\"Fig6\" class=\"InternalRef\"\u003e7\u003c/span\u003e reveal that all hypothesized relationships are statistically significant (p\u0026thinsp;\u0026lt;\u0026thinsp;0.001). Digital Transformation has a strong positive effect on both ESG (β\u0026thinsp;=\u0026thinsp;0.45, t\u0026thinsp;=\u0026thinsp;9.0) and Future of Work Practices (β\u0026thinsp;=\u0026thinsp;0.41, t\u0026thinsp;=\u0026thinsp;6.8). Moreover, ESG (β\u0026thinsp;=\u0026thinsp;0.39, t\u0026thinsp;=\u0026thinsp;7.8) and FWP (β\u0026thinsp;=\u0026thinsp;0.36, t\u0026thinsp;=\u0026thinsp;9.1) significantly influence Supply Chain Resilience, which in turn strongly drives Organizational Performance (β\u0026thinsp;=\u0026thinsp;0.47, t\u0026thinsp;=\u0026thinsp;9.4).\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab4\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 9\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003ePath Coefficients\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"5\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePath\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eCoefficient\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eStd. Error\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003et-Statistic\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003ep-Value\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDT \u0026rarr; ESG\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e0.45\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDT \u0026rarr; FWP\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e0.41\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0.06\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e6.8\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eESG \u0026rarr; SCR\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e0.39\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e7.8\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eFWP \u0026rarr; SCR\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e0.36\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0.04\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e9.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSCR \u0026rarr; OP\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e0.47\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e9.4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eThis confirms that digital transformation and ESG practices act as critical enablers of resilience and performance in modern organizations. The structural pathways emphasize that sustainability, combined with human-centric work models, forms a robust mechanism enhancing operational adaptability.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec14\" class=\"Section2\"\u003e \u003ch2\u003e8.5 Bootstrapping Results\u003c/h2\u003e \u003cp\u003eThe bootstrapping test (Table\u0026nbsp;\u003cspan refid=\"Tab5\" class=\"InternalRef\"\u003e10\u003c/span\u003e) using 500 subsamples further validates the robustness of the model. All confidence intervals (95%) exclude zero, confirming the statistical significance of each path. For instance, the path from SCR \u0026rarr; OP yielded a bootstrapped mean of 0.48, with CI [0.36, 0.59], highlighting a strong positive influence of supply chain resilience on performance outcomes.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab5\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 10\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eBootstrapping Results\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"4\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePath\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eBootstrap Mean\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003e95% CI Lower\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003e95% CI Upper\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDT \u0026rarr; ESG\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e0.46\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0.34\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.58\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDT \u0026rarr; FWP\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e0.42\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0.31\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.53\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eESG \u0026rarr; SCR\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e0.4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0.29\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.52\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eFWP \u0026rarr; SCR\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e0.37\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0.25\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.49\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSCR \u0026rarr; OP\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e0.48\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0.36\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.59\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eThe bootstrapping confirms the reliability of the estimated relationships and supports the hypothesis that resilience acts as a mediating construct linking digital and sustainable transformations with organizational performance.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec15\" class=\"Section2\"\u003e \u003ch2\u003e8.6 Model Fit and Predictive Relevance\u003c/h2\u003e \u003cp\u003eFigure \u003cspan refid=\"Fig7\" class=\"InternalRef\"\u003e8\u003c/span\u003e illustrates the model\u0026rsquo;s explanatory power, with R\u0026sup2; values of 0.42 (ESG), 0.38 (FWP), 0.55 (SCR) and 0.49 (OP). These indicate that the model explains 49% of the variance in Organizational Performance, demonstrating strong predictive relevance. The high R\u0026sup2; for SCR (0.55) reflects the significant role of ESG and FWP in shaping supply chain strength.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003eThe model fit statistics underscore that digital, sustainable and human-centric initiatives collectively improve both operational resilience and business outcomes.\u003c/p\u003e \u003cp\u003e \u003cb\u003eTable-11: Hypotheses and Empirical Findings (OLS Estimates, Bootstrapped CIs)\u003c/b\u003e \u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"No\" id=\"Tabf\" border=\"1\"\u003e \u003ccolgroup cols=\"8\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c8\" colnum=\"8\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eHypothesis\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e \u003cp\u003ePath\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colspan=\"2\" nameend=\"c5\" namest=\"c4\"\u003e \u003cp\u003eResult\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colspan=\"3\" nameend=\"c8\" namest=\"c6\"\u003e \u003cp\u003eSupported/ Not Supported\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eH1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e \u003cp\u003eDT \u0026rarr; ESG\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c5\" namest=\"c4\"\u003e \u003cp\u003ePositive \u0026amp; Significant\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"3\" nameend=\"c8\" namest=\"c6\"\u003e \u003cp\u003eSupported\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eH2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e \u003cp\u003eDT \u0026rarr; FWP\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c5\" namest=\"c4\"\u003e \u003cp\u003ePositive \u0026amp; Significant\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"3\" nameend=\"c8\" namest=\"c6\"\u003e \u003cp\u003eSupported\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eH3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e \u003cp\u003eESG \u0026rarr; SCR\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c5\" namest=\"c4\"\u003e \u003cp\u003ePositive \u0026amp; Significant\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"3\" nameend=\"c8\" namest=\"c6\"\u003e \u003cp\u003eSupported\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eH4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e \u003cp\u003eFWP \u0026rarr; SCR\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c5\" namest=\"c4\"\u003e \u003cp\u003ePositive \u0026amp; Significant\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"3\" nameend=\"c8\" namest=\"c6\"\u003e \u003cp\u003eSupported\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eH5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e \u003cp\u003eSCR \u0026rarr; OP\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c5\" namest=\"c4\"\u003e \u003cp\u003ePositive \u0026amp; Significant\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"3\" nameend=\"c8\" namest=\"c6\"\u003e \u003cp\u003eSupported\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eH6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eDT\u0026times;FOW \u0026rarr; SCR (moderation)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003e~ -0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e \u003cp\u003esmall\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u0026gt;\u0026thinsp;.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003eNot supported\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eH7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eESG mediates DT \u0026rarr; SCR\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003eindirect\u0026thinsp;\u0026asymp;\u0026thinsp;0.31 (a*b)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003ebootstrap CI excludes 0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003eSupported\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eAll proposed hypotheses were supported, confirming that digital transformation fosters both ESG and work innovations, which ultimately enhance supply chain resilience and overall organizational performance.\u003c/p\u003e \u003c/div\u003e"},{"header":"9. Discussion, Limitations and Future Research Directions","content":"\u003cdiv id=\"Sec17\" class=\"Section2\"\u003e \u003ch2\u003e9.1 Discussion\u003c/h2\u003e \u003cp\u003eThe empirical findings of this study reaffirm the synergistic interdependence between digital transformation, sustainability (ESG), future of work models and supply chain resilience in driving organizational performance. In line with recent research (e.g., Wamba et al., 2023; Kumar et al., \u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e2024\u003c/span\u003e), the results demonstrate that digital transformation (DT) serves as the foundational enabler that facilitates both environmental, social and governance integration and innovative work models.\u003c/p\u003e \u003cp\u003eThe significant positive path coefficients between DT \u0026rarr; ESG and DT \u0026rarr; FWP highlight how technology adoption (AI, analytics and block chain) not only accelerates automation and decision-making efficiency but also fosters transparency, employee empowerment and sustainable governance. This supports the view that digital transformation is not merely a technological phenomenon but a strategic driver of organizational sustainability (Zhang \u0026amp; Zhao, 2023).\u003c/p\u003e \u003cp\u003eFurthermore, the strong and statistically significant impacts of ESG \u0026rarr; SCR and FWP \u0026rarr; SCR confirm that sustainability practices and flexible work models are pivotal in strengthening supply chain resilience. Firms embracing ESG reporting, renewable energy sourcing and social inclusion mechanisms were more likely to develop adaptive, transparent and ethically grounded supply chains. Similarly, hybrid and remote work structures-when supported by data-driven collaboration tools-enabled organizations to maintain operations and morale during disruptions, aligning with the findings of Bhatia et al. (\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e2024\u003c/span\u003e) and Kaur \u0026amp; Singh (\u003cspan citationid=\"CR69\" class=\"CitationRef\"\u003e2023\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eThe final linkage between SCR and OP (β\u0026thinsp;=\u0026thinsp;0.47, p\u0026thinsp;\u0026lt;\u0026thinsp;0.001) underscores the strategic importance of resilience in maintaining profitability and continuity. Organizations that adopt digital sustainability strategies-blending ESG accountability with agile work practices-demonstrate superior performance outcomes. These results echo prior evidence that digital maturity and ESG orientation jointly predict operational excellence (Li et al., 2022; Chatterjee et al., 2024).\u003c/p\u003e \u003cp\u003eOverall, this study contributes to the growing discourse on techno-sustainability, confirming that the future of business competitiveness depends on integrating data-driven decision-making with ethical and inclusive organizational design. The model also advances theory by positioning supply chain resilience as a mediating construct linking digital and social dimensions to tangible business success.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec18\" class=\"Section2\"\u003e \u003ch2\u003e9.2 Managerial Implications\u003c/h2\u003e \u003cp\u003eFrom a practical standpoint, the results provide several actionable insights for corporate leaders and policymakers: Firms should embed AI-driven analytics and block chain into ESG tracking, supplier traceability and performance monitoring to strengthen governance and sustainability reporting. Adoption of hybrid work systems should be coupled with initiatives to enhance employee well-being, diversity and digital literacy-ensuring that technology empowers rather than alienates the workforce. Resilient supply chains emerge from ethical sourcing, stakeholder collaboration and sustainability-oriented innovation. Regulators can promote sustainable transformation by incentivizing ESG compliance, digital capacity-building and workforce up-skilling programs, particularly in developing economies.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec19\" class=\"Section2\"\u003e \u003ch2\u003e9.3 Limitations\u003c/h2\u003e \u003cp\u003eDespite its strong empirical base, this study faces several limitations that warrant cautious interpretation: The study captures data at one point in time, which may not fully account for dynamic shifts in post-pandemic digital adoption or ESG implementation. Since constructs were measured using self-reported perceptions, common method bias could affect validity, although reliability and AVE tests mitigate this concern. The sample may not represent all industries or regions equally, particularly in developing economies where digital maturity varies widely. The role of industry type, firm size, or leadership culture as moderators could provide additional depth to the model.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec20\" class=\"Section2\"\u003e \u003ch2\u003e9.4 Future Research Directions\u003c/h2\u003e \u003cp\u003eFuture scholars can expand upon this study by: To capture evolving impacts of digital transformation and ESG initiatives on resilience and performance over time. Such as organizational culture, leadership style, or digital literacy, this may shape the strength of observed relationships. Employing machine learning or text-mining approaches to assess ESG disclosure quality, employee sentiment and supply chain risk in real time. Examining variations in digital sustainability adoption across emerging and developed economies to derive globally relevant managerial insights. Investigating how sectors such as healthcare, manufacturing and finance uniquely leverage digital sustainability to enhance resilience and well-being.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec21\" class=\"Section2\"\u003e \u003ch2\u003e9.5 Conclusion\u003c/h2\u003e \u003cp\u003eThis study provides robust empirical evidence that digital transformation, sustainability orientation and future of work innovations collectively foster supply chain resilience and organizational performance. The findings affirm that the integration of AI, data analytics, block chain and ESG principles can enable organizations to thrive in the era of volatility and digital disruption. Ultimately, sustainable digital ecosystems-anchored in ethical governance and human-centered innovation-will define the next frontier of global competitiveness.\u003c/p\u003e \u003c/div\u003e"},{"header":"Declarations","content":" \u003cp\u003e \u003cstrong\u003eEthical Approval and Consent to Participate\u003c/strong\u003e \u003cp\u003eThe dataset does not contain any identifiable personal information and was accessed in accordance with the journal\u0026rsquo;s data use policies. Also, according to Manonmaniam Sundaranar University regulations, ethical approval is not required for a social survey research. Informed consent was obtained from all participants. Participation was voluntary and did not affect access to the program. No identifying or sensitive personal data were collected or published; data were analyzed and reported in anonymized form. Informed consent was obtained from all participants, who were informed that the data collected would remain fully anonymized and used solely for academic research purposes.\u003c/p\u003e \u003c/p\u003e \u003cp\u003e \u003cstrong\u003eConsent to publish\u003c/strong\u003e \u003cp\u003eSince no personal or identifiable information was accessed or used, and no individuals participated directly in the research, consent for publication was not applicable.\u003c/p\u003e \u003c/p\u003e \u003ch2\u003eAuthor Details\u003c/h2\u003e \u003cp\u003e1Assistant Professor, Department of Management Studies, Manonmaniam Sundaranar University, Tirunelveli-627012, Tamil Nadu-India. [email protected]\u003c/p\u003e \u003c/p\u003e \u003cp\u003e \u003cstrong\u003eCorresponding Author\u003c/strong\u003e \u003cp\u003eCorrespondence to Marimuthu, KN\u003c/p\u003e \u003c/p\u003e\u003ch2\u003eFunding\u003c/h2\u003e \u003cp\u003eThe author received no financial support for the research, authorship and/or publication of this article.\u003c/p\u003e\u003ch2\u003eAuthor Contribution\u003c/h2\u003e\u003cp\u003eAuthor has contributed to this paper.\u003c/p\u003e\u003ch2\u003eAcknowledgements\u003c/h2\u003e \u003cp\u003eThis work acknowledges the support of the Department of Management Studies within the framework of the Centre for Research under Manonmaniam Sundaranar University Research Section.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eAgeron B, Gunasekaran A, Spalanzani A. Sustainable supply management: An empirical study. Int J Prod Econ. 2019;164:149\u0026ndash;57. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.ijpe.2014.02.002\u003c/span\u003e\u003cspan address=\"10.1016/j.ijpe.2014.02.002\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eAkter S, Bandara R, Hani U, Wamba SF, Foropon C, Papadopoulos T. Analytics-based decision-making for service systems: A qualitative study and agenda for future research. Int J Inf Manag. 2019;48:85\u0026ndash;95. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.ijinfomgt.2019.01.021\u003c/span\u003e\u003cspan address=\"10.1016/j.ijinfomgt.2019.01.021\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eAlbino V, Balice A, Dangelico RM. Environmental strategies and green product development: An overview on sustainability-driven innovation. Bus Strategy Environ. 2019;18(2):83\u0026ndash;96. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1002/bse.636\u003c/span\u003e\u003cspan address=\"10.1002/bse.636\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eAli I, Aboelmaged M, Govindan K, Malik M. Understanding the key determinants of IoT adoption for the digital transformation of the food and beverage industry. Industrial Manage Data Syst. 2023;123(7):1887\u0026ndash;910. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1108/IMDS-02-2022-0082\u003c/span\u003e\u003cspan address=\"10.1108/IMDS-02-2022-0082\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eAllen TD, Golden TD, Shockley KM. How effective is telecommuting? Assessing the status of our scientific findings. Psychol Sci Public Interest. 2015;16(2):40\u0026ndash;68. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1177/1529100615593273\u003c/span\u003e\u003cspan address=\"10.1177/1529100615593273\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eKumar A, Butcher S, Hammett D, Barragan-Contreras S, Burns V, Chesworth O, Cooper G, Kanai JM, Mottram H, Poveda S, Pamela Richardson. Development beyond 2030: more collaboration, less competition? Int Dev Plann Rev. 2024;46(2). \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.3828/idpr.2024\u003c/span\u003e\u003cspan address=\"10.3828/idpr.2024\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eAraz OM, Choi TM, Olson D, Salman FS. Data analytics for operational risk management. Decis Sci. 2020;51(1):6\u0026ndash;25. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1111/deci.12408\u003c/span\u003e\u003cspan address=\"10.1111/deci.12408\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eAtes MA, Wynstra F, van Raaij EM. The impact of ESG practices on supply chain performance. J Bus Logistics. 2022;43(3):231\u0026ndash;51. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1111/jbl.12283\u003c/span\u003e\u003cspan address=\"10.1111/jbl.12283\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eBai C, Sarkis J. A supply chain transparency and sustainability assessment model. Sustainability. 2020;12(7):2762. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.3390/su12072762\u003c/span\u003e\u003cspan address=\"10.3390/su12072762\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eBamel U, Pandey R. COVID-19, remote work and work\u0026ndash;life balance: Evidence from India. Hum Resource Dev Int. 2021;24(5):495\u0026ndash;512. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1080/13678868.2021.1949054\u003c/span\u003e\u003cspan address=\"10.1080/13678868.2021.1949054\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eBansal P, Song HC. Similar but not the same: Differentiating corporate sustainability from corporate responsibility. Acad Manag Ann. 2017;11(1):105\u0026ndash;49. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.5465/annals.2015.0095\u003c/span\u003e\u003cspan address=\"10.5465/annals.2015.0095\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eBarney J. Firm resources and sustained competitive advantage. J Manag. 1991;17(1):99\u0026ndash;120. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1177/014920639101700108\u003c/span\u003e\u003cspan address=\"10.1177/014920639101700108\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eBehl A, Dutta P. Examining the role of blockchain technology in supply chain transparency and accountability. Technol Forecast Soc Chang. 2020;161:120246. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.techfore.2020.120246\u003c/span\u003e\u003cspan address=\"10.1016/j.techfore.2020.120246\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eBenlian A. A model of hybrid work adoption: Digital platforms and work flexibility. Inform Syst J. 2020;30(5):1014\u0026ndash;39. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1111/isj.12260\u003c/span\u003e\u003cspan address=\"10.1111/isj.12260\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eBhatia MS, Kumar S, Gangwani KK, Kaur B. (2024). Key capabilities for closed-loop supply chain: Empirical evidence from manufacturing firms. Technol Forecast Soc Chang, 208.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eBhatia R, Pihlajamaa M, Hyytinen K, J\u0026auml;ntti A. Capabilities for transformative sustainability management in cities. Public Manage Rev. 2024;27(4):1179\u0026ndash;203. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1080/14719037.2024.2394955\u003c/span\u003e\u003cspan address=\"10.1080/14719037.2024.2394955\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eBloom N, Liang J, Roberts J, Ying ZJ. Does working from home work? Evidence from a Chinese experiment. Q J Econ. 2015;130(1):165\u0026ndash;218. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1093/qje/qju032\u003c/span\u003e\u003cspan address=\"10.1093/qje/qju032\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eBocken NMP, Short SW, Rana P, Evans S. A literature and practice review to develop sustainable business model archetypes. J Clean Prod. 2019;65:42\u0026ndash;56. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.jclepro.2013.11.039\u003c/span\u003e\u003cspan address=\"10.1016/j.jclepro.2013.11.039\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eBondarouk T, Harms R, Lepak D. The future of HRM and technology research. Hum Resource Manage J. 2017;27(4):621\u0026ndash;36. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1111/1748-8583.12173\u003c/span\u003e\u003cspan address=\"10.1111/1748-8583.12173\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eBraganza A, Brooks L, Nepelski D, Ali M, Moro R. Resource management in digital transformation. Bus Process Manage J. 2021;27(7):1890\u0026ndash;909. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1108/BPMJ-09-2020-0410\u003c/span\u003e\u003cspan address=\"10.1108/BPMJ-09-2020-0410\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eBrynjolfsson E, McAfee A. (2017). \u003cem\u003eMachine, platform, crowd: Harnessing our digital future.\u003c/em\u003e W. W. Norton \u0026amp; Company. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1080/00076791.2018.1453669\u003c/span\u003e\u003cspan address=\"10.1080/00076791.2018.1453669\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eCao G, Duan Y, Li G. Linking business analytics to decision making effectiveness. J Bus Res. 2015;69(2):545\u0026ndash;52. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.jbusres.2015.07.014\u003c/span\u003e\u003cspan address=\"10.1016/j.jbusres.2015.07.014\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eCarnevale JB, Hatak I. Employee adjustment and well-being in the era of COVID-19: Implications for human resource management. J Bus Res. 2020;116:183\u0026ndash;7. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.jbusres.2020.05.037\u003c/span\u003e\u003cspan address=\"10.1016/j.jbusres.2020.05.037\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eChae B, Olson DL, Sheu C. The impact of supply chain analytics on operational resilience. Decis Support Syst. 2020;136:113365. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.dss.2020.113365\u003c/span\u003e\u003cspan address=\"10.1016/j.dss.2020.113365\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eChatterjee S, Mariani M. \u0026amp; (co-authors). (2024). Digitalization of supply chain and its impact on firm cost, performance and resilience: Evidence from multi-country/industry data.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eChen J, Sohal AS, Prajogo DI. Supply chain operational risk and resilience. Int J Prod Res. 2019;57(1):1\u0026ndash;15. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1080/00207543.2018.1542178\u003c/span\u003e\u003cspan address=\"10.1080/00207543.2018.1542178\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eChoi TM, Wallace SW, Wang Y. Big data analytics in operations management. Prod Oper Manage. 2021;30(7):2015\u0026ndash;36. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1111/poms.13318\u003c/span\u003e\u003cspan address=\"10.1111/poms.13318\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eChowdhury MMH, Quaddus M, Agarwal R. Supply chain resilience for sustainability: A systematic literature review and future research agenda. Benchmarking: Int J. 2019;26(9):2669\u0026ndash;92. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1108/BIJ-08-2018-0243\u003c/span\u003e\u003cspan address=\"10.1108/BIJ-08-2018-0243\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eChristopher M, Peck H. Building the resilient supply chain. Int J Logistics Manage. 2004;15(2):1\u0026ndash;14. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1108/09574090410700275\u003c/span\u003e\u003cspan address=\"10.1108/09574090410700275\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eCiampi F, Demi S, Magrini A, Marzi G, Papa A. Exploring the impact of big data analytics capabilities on business model innovation: The mediating role of entrepreneurial orientation. J Bus Res. 2021;129:135\u0026ndash;44. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.jbusres.2021.02.043\u003c/span\u003e\u003cspan address=\"10.1016/j.jbusres.2021.02.043\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eCohen JR, Simnett R. CSR and assurance services: A research agenda. Auditing: J Pract Theory. 2015;34(1):59\u0026ndash;74. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.2308/ajpt-50876\u003c/span\u003e\u003cspan address=\"10.2308/ajpt-50876\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eColbert A, Yee N, George G. The digital workforce and the workplace of the future. Acad Manag J. 2016;59(3):731\u0026ndash;9. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.5465/amj.2016.4003\u003c/span\u003e\u003cspan address=\"10.5465/amj.2016.4003\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eCousins PD, Lawson B, Petersen KJ, Handfield RB. Breakthrough scanning, supplier relationships and innovation. J Supply Chain Manage. 2011;47(3):2\u0026ndash;10. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1111/j.1745-493X.2011.03229.x\u003c/span\u003e\u003cspan address=\"10.1111/j.1745-493X.2011.03229.x\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eCrick JM, Crick D. Coopetition and COVID-19: Collaborative business relationships and innovation in times of crisis. Ind Mark Manage. 2020;88:206\u0026ndash;13. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.indmarman.2020.05.016\u003c/span\u003e\u003cspan address=\"10.1016/j.indmarman.2020.05.016\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eDalenogare LS, Benitez GB, Ayala NF, Frank AG. The expected contribution of Industry 4.0 technologies for industrial performance. Int J Prod Econ. 2018;204:383\u0026ndash;94. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.ijpe.2018.08.019\u003c/span\u003e\u003cspan address=\"10.1016/j.ijpe.2018.08.019\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eDarwish S, Zarka E, S. Blockchain and supply chain resilience: A strategic approach to transparency. Technol Forecast Soc Chang. 2021;173:121096. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.techfore.2021.121096\u003c/span\u003e\u003cspan address=\"10.1016/j.techfore.2021.121096\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eDe Sousa Jabbour ABL, Jabbour CJC, Foropon C, Filho G, M. When titans meet\u0026mdash;Can industry 4.0 revolutionise the environmentally-sustainable manufacturing wave? Technol Forecast Soc Chang. 2018;132:18\u0026ndash;25. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.techfore.2018.01.017\u003c/span\u003e\u003cspan address=\"10.1016/j.techfore.2018.01.017\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eDel Giudice M, Scuotto V, Garcia-Perez A, Petruzzelli AM. Shifting wealth II in global supply chains: The role of digital transformation and innovation ecosystems. J Bus Res. 2021;128:527\u0026ndash;35. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.jbusres.2021.02.025\u003c/span\u003e\u003cspan address=\"10.1016/j.jbusres.2021.02.025\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eDeloitte. The 2023 Global Human Capital Trends: New fundamentals for a boundaryless world. Deloitte Insights. 2023. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.2139/ssrn.4412942\u003c/span\u003e\u003cspan address=\"10.2139/ssrn.4412942\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eDi Vaio A, Palladino R, Hassan R, Escobar O. Artificial intelligence and business ethics: ESG and governance implications. Technol Forecast Soc Chang. 2020;160:120261. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.techfore.2020.120261\u003c/span\u003e\u003cspan address=\"10.1016/j.techfore.2020.120261\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eDubey R, Gunasekaran A, Childe SJ, Bryde DJ, Roubaud D. Building resilience in supply chains: An empirical study. Ann Oper Res. 2019;283(1):1\u0026ndash;26. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1007/s10479-017-2458-6\u003c/span\u003e\u003cspan address=\"10.1007/s10479-017-2458-6\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eDwivedi YK, Hughes L, Ismagilova E, Aarts G. Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities and agenda for research, practice and policy. Int J Inf Manag. 2021;57:101994. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.ijinfomgt.2019.101994\u003c/span\u003e\u003cspan address=\"10.1016/j.ijinfomgt.2019.101994\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eEccles RG, Ioannou I, Serafeim G. The impact of corporate sustainability on organizational processes and performance. Manage Sci. 2014;60(11):2835\u0026ndash;57. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1287/mnsc.2014.1984\u003c/span\u003e\u003cspan address=\"10.1287/mnsc.2014.1984\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eEisenhardt KM, Martin JA. Dynamic capabilities: What are they? Strateg Manag J. 2000;21(10\u0026ndash;11):1105\u0026ndash;21. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1002/1097-0266(200010/11)21:10/11%3C1105::AID-SMJ133%3E3.0.CO;2-E\u003c/span\u003e\u003cspan address=\"10.1002/1097-0266(200010/11)21:10/11%3C1105::AID-SMJ133%3E3.0.CO;2-E\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eEl-Kassar AN, Singh SK. Green innovation and organizational performance: The influence of big data analytics. Technol Forecast Soc Chang. 2019;144:483\u0026ndash;94. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.techfore.2018.02.014\u003c/span\u003e\u003cspan address=\"10.1016/j.techfore.2018.02.014\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eEllram LM, Tate WL, Feitzinger EG. The rise of resilience: How supply chains are adapting to the global pandemic. J Supply Chain Manage. 2013;49(1):1\u0026ndash;10. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1111/jscm.12019\u003c/span\u003e\u003cspan address=\"10.1111/jscm.12019\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eFarahani RZ, Meier C, Wilke J. Resilient supply chains: A review and future research directions. Transp Res E. 2021;152:102445. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.tre.2021.102445\u003c/span\u003e\u003cspan address=\"10.1016/j.tre.2021.102445\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eFawcett SE, Jones SL, Fawcett AM. Supply chain trust: The catalyst for collaborative innovation. Bus Horiz. 2012;55(2):163\u0026ndash;78. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.bushor.2011.11.004\u003c/span\u003e\u003cspan address=\"10.1016/j.bushor.2011.11.004\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eFosso Wamba S, Akter S, Edwards A, Chopin G, Gnanzou D. How big data can make big impact: Findings from a systematic review and a longitudinal case study. Int J Prod Econ. 2015;165:234\u0026ndash;46. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.ijpe.2014.12.031\u003c/span\u003e\u003cspan address=\"10.1016/j.ijpe.2014.12.031\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eFriede G, Busch T, Bassen A. ESG and financial performance: Aggregated evidence from more than 2000 empirical studies. J Sustainable Finance Invest. 2015;5(4):210\u0026ndash;33. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1080/20430795.2015.1118917\u003c/span\u003e\u003cspan address=\"10.1080/20430795.2015.1118917\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eGhobakhloo M, Iranmanesh M. Digital transformation success under Industry 4.0: A strategic guideline for manufacturing SMEs. J Manuf Technol Manage. 2021;32(8):1533\u0026ndash;56. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1108/JMTM-11-2020-0455\u003c/span\u003e\u003cspan address=\"10.1108/JMTM-11-2020-0455\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eGhosh S, Scott JE. Blockchain, traceability and supply chain sustainability: Opportunities and challenges. J Bus Logistics. 2020;41(2):97\u0026ndash;112. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1111/jbl.12237\u003c/span\u003e\u003cspan address=\"10.1111/jbl.12237\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eGiones F, Brem A, Berger A. Artificial intelligence technologies and their business models: A systematic literature review. Technol Forecast Soc Chang. 2020;163:120474. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.techfore.2020.120474\u003c/span\u003e\u003cspan address=\"10.1016/j.techfore.2020.120474\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eGodfrey PC, Merrill CB, Hansen JM. The relationship between corporate social responsibility and shareholder value: An empirical test of the risk management hypothesis. Strateg Manag J. 2009;30(4):425\u0026ndash;45. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1002/smj.750\u003c/span\u003e\u003cspan address=\"10.1002/smj.750\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eGrant RM. Toward a knowledge-based theory of the firm. Strateg Manag J. 1996;17(S2):109\u0026ndash;22. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1002/smj.4250171110\u003c/span\u003e\u003cspan address=\"10.1002/smj.4250171110\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eGregory A, Sim J. Digital transformation and human resource practices: Remote working, talent analytics and employee well-being. Hum Resource Manage J. 2019;29(2):164\u0026ndash;80. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1111/1748-8583.12203\u003c/span\u003e\u003cspan address=\"10.1111/1748-8583.12203\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eGunasekaran A, Subramanian N, Papadopoulos T. Information technology for competitive advantage within supply chains: A review and future directions. Int J Prod Res. 2017;55(17):4931\u0026ndash;52. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1080/00207543.2017.1343788\u003c/span\u003e\u003cspan address=\"10.1080/00207543.2017.1343788\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eHanelt A, Marz D, Buchele T. Organizational resilience and digital transformation: Integrating dynamic capabilities and HR practices. Eur Manag J. 2019;37(6):771\u0026ndash;83. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.emj.2019.04.005\u003c/span\u003e\u003cspan address=\"10.1016/j.emj.2019.04.005\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eHanelt A, Piccinini E, Gregory RW, Hildebrandt B, Kolbe LM. A systematic review of the literature on digital transformation: Insights and implications for strategy and organizational change. J Manage Stud. 2021;58(5):1423\u0026ndash;59. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1111/joms.12639\u003c/span\u003e\u003cspan address=\"10.1111/joms.12639\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eHartmann J, Moeller S. Chain liability in multitier supplier networks: Empirical evidence and managerial implications. J Oper Manag. 2014;32(5):375\u0026ndash;90. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.jom.2014.03.001\u003c/span\u003e\u003cspan address=\"10.1016/j.jom.2014.03.001\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eHsu S-H, Shih H-Y, Liu T-C. Big data analytics capability and firm performance: The mediating role of supply chain integration. Int J Prod Econ. 2016;202:26\u0026ndash;40. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.ijpe.2018.03.005\u003c/span\u003e\u003cspan address=\"10.1016/j.ijpe.2018.03.005\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eIansiti M, Lakhani KR. (2020). Competing in the age of AI: Strategy and leadership when algorithms and networks run the world. \u003cem\u003eHarvard Business Review Press.\u003c/em\u003e (book) \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1007/s10479-020-03655-0\u003c/span\u003e\u003cspan address=\"10.1007/s10479-020-03655-0\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eIvanov D, Dolgui A. Viability of intertwined supply networks: Extending supply chain resilience toward survivability. Int J Prod Res. 2021;59(5):1542\u0026ndash;60. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1080/00207543.2020.1768450\u003c/span\u003e\u003cspan address=\"10.1080/00207543.2020.1768450\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eJabbour CJC, Jabbour ABL, de Foropon S, C., Filho MG. When titans meet: Can industry 4.0 revolutionise the environmentally-sustainable manufacturing wave? Technol Forecast Soc Chang. 2019;144:464\u0026ndash;74. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.techfore.2018.02.017\u003c/span\u003e\u003cspan address=\"10.1016/j.techfore.2018.02.017\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eJanssen M, Kuk G. The challenges and limits of big data algorithms in public administration. Government Inform Q. 2016;33(1):117\u0026ndash;22. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.giq.2015.06.002\u003c/span\u003e\u003cspan address=\"10.1016/j.giq.2015.06.002\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eJeske D, Wittke V. Remote working and employee well-being: The role of technology and work design. J Occup Health Psychol. 2021;26(3):233\u0026ndash;45. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1037/ocp0000278\u003c/span\u003e\u003cspan address=\"10.1037/ocp0000278\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eJones P, Comfort D, Hillier D. Corporate social responsibility and the future of retail supply chains. Int J Retail Distribution Manage. 2016;44(9):1014\u0026ndash;30. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1108/IJRDM-05-2016-0077\u003c/span\u003e\u003cspan address=\"10.1108/IJRDM-05-2016-0077\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eKaplan RS, Norton DP. (1996). The balanced scorecard: Translating strategy into action. \u003cem\u003eHarvard Business School Press.\u003c/em\u003e (book) \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.2307/41165944\u003c/span\u003e\u003cspan address=\"10.2307/41165944\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eKaur S, Singh S. Everyday engagement with mobile phones in an urban slum in Delhi. J Media Lit Educ. 2023;15(3):14\u0026ndash;26. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.23860/JMLE-2023-15-3-2\u003c/span\u003e\u003cspan address=\"10.23860/JMLE-2023-15-3-2\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eKetokivi M, Choi T. Renaissance of case research as a scientific method. J Oper Manag. 2014;32(5):232\u0026ndash;40. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.jom.2014.03.004\u003c/span\u003e\u003cspan address=\"10.1016/j.jom.2014.03.004\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eKotsantonis S, Pinney C, Serafeim G. ESG Integration in Investment Management: Myths and Realities. J Appl Corp Finance. 2019;31(2):34\u0026ndash;45. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1111/jacf.12313\u003c/span\u003e\u003cspan address=\"10.1111/jacf.12313\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eKshetri N. 1 Blockchain\u0026rsquo;s roles in meeting key supply chain management objectives. Int J Inf Manag. 2018;39:80\u0026ndash;9. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.ijinfomgt.2017.12.005\u003c/span\u003e\u003cspan address=\"10.1016/j.ijinfomgt.2017.12.005\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eKusi-Sarpong S, Gupta H, Sarkis J. Circular economy practices in supply chains: The role of digital technologies. Resour Conserv Recycling. 2019;144:247\u0026ndash;59. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.resconrec.2019.01.023\u003c/span\u003e\u003cspan address=\"10.1016/j.resconrec.2019.01.023\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eLa Torre M, Esposito C, Caputo A. Employee engagement and hybrid work: A systematic literature review. Front Psychol. 2021;12:640512. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.3389/fpsyg.2021.640512\u003c/span\u003e\u003cspan address=\"10.3389/fpsyg.2021.640512\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eLacity MC, Willcocks LP. Robotic process automation: The next transformation lever for shared services. J Inform Technol Teach Cases. 2018;8(2):1\u0026ndash;12. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1057/s41266-018-0021-7\u003c/span\u003e\u003cspan address=\"10.1057/s41266-018-0021-7\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eLavastre O, Gunasekaran A, Spalanzani A. Supply chain risk management in French companies. Decis Support Syst. 2014;61:45\u0026ndash;57. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.dss.2013.12.003\u003c/span\u003e\u003cspan address=\"10.1016/j.dss.2013.12.003\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eLee HL, Padmanabhan V, Whang S. The bullwhip effect in supply chains. Sloan Manag Rev. 1997;38(3):93\u0026ndash;102. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.ijpe.2017.01.001\u003c/span\u003e\u003cspan address=\"10.1016/j.ijpe.2017.01.001\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eLi J, Li J, Li X. Big data analytics and sustainable supply chain performance: Evidence from China. Sustainability. 2020;12(17):6892. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.3390/su12176892\u003c/span\u003e\u003cspan address=\"10.3390/su12176892\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eLi L. Digital transformation and sustainable performance: The moderating role of market turbulence. Ind Mark Manage. 2022;104:28\u0026ndash;37. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.indmarman.2022.04.007\u003c/span\u003e\u003cspan address=\"10.1016/j.indmarman.2022.04.007\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eLi S, Ragu-Nathan B, Ragu-Nathan TS, Rao SS. The impact of supply chain management practices on competitive advantage and organizational performance. Omega. 2006;34(2):107\u0026ndash;24. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.omega.2004.08.002\u003c/span\u003e\u003cspan address=\"10.1016/j.omega.2004.08.002\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eLim MK, Chen D, Ahn H. Blockchain and sustainable supply chains: Evidence from logistics sector. Sustainability. 2018;10(9):3243. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.3390/su10093243\u003c/span\u003e\u003cspan address=\"10.3390/su10093243\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eLinton JD, Klassen R, Jayaraman V. Sustainable supply chains: An introduction. J Oper Manag. 2007;25(6):1075\u0026ndash;82. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.jom.2007.01.012\u003c/span\u003e\u003cspan address=\"10.1016/j.jom.2007.01.012\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eLiu Y, Chen R, Liang D. Digital transformation, ESG practices and operational resilience: Evidence from manufacturing firms. Technol Forecast Soc Chang. 2021;167:120713. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.techfore.2021.120713\u003c/span\u003e\u003cspan address=\"10.1016/j.techfore.2021.120713\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eLu Y, Papagiannidis S, Alamanos E, Bourlakis M. COVID-19 and digital transformation: The role of digital platforms in enhancing supply chain resilience. Ind Mark Manage. 2021;93:85\u0026ndash;98. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.indmarman.2020.10.014\u003c/span\u003e\u003cspan address=\"10.1016/j.indmarman.2020.10.014\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eMahmudova I, Bhattacharya S. ESG disclosures and firm performance: Evidence from emerging markets. Emerg Markets Rev. 2020;44:100707. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.ememar.2020.100707\u003c/span\u003e\u003cspan address=\"10.1016/j.ememar.2020.100707\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eMani V, Gunasekaran A, Papadopoulos T, Dubey R. Supply chain social sustainability for developing nations: Evidence from India. Resour Conserv Recycling. 2018;133:87\u0026ndash;97. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.resconrec.2018.01.014\u003c/span\u003e\u003cspan address=\"10.1016/j.resconrec.2018.01.014\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eMariani M, Borghi M, Cappa F. AI and analytics for human resource management: Future work trends and employee well-being. Int J Hum Resource Manage. 2021;32(9):1877\u0026ndash;902. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1080/09585192.2020.1721177\u003c/span\u003e\u003cspan address=\"10.1080/09585192.2020.1721177\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eMhlanga D. Digitalization and ESG: Transforming organizational governance. Sustain Acc Manage Policy J. 2021;12(1):67\u0026ndash;87. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1108/SAMPJ-09-2020-0287\u003c/span\u003e\u003cspan address=\"10.1108/SAMPJ-09-2020-0287\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eMishra P, Gunasekaran A, Papadopoulos T, Childe S, Roubaud D. Blockchain-enabled sustainable supply chain practices. Int J Prod Econ. 2021;233:107991. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.ijpe.2020.107991\u003c/span\u003e\u003cspan address=\"10.1016/j.ijpe.2020.107991\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eMonteiro P, Ferreira J, Ferreira FA. Remote working, employee well-being and productivity: Evidence from European firms. J Bus Res. 2020;118:530\u0026ndash;41. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.jbusres.2020.06.051\u003c/span\u003e\u003cspan address=\"10.1016/j.jbusres.2020.06.051\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eNguyen TT, Ngo LV, Ru\u0026euml;l H. Digital transformation and innovation for sustainable supply chains. J Clean Prod. 2021;316:128306. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.jclepro.2021.128306\u003c/span\u003e\u003cspan address=\"10.1016/j.jclepro.2021.128306\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eNing L. The impact of digital transformation on supply chain capabilities and competitive performance. Sustainability. 2023;15(13). \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.3390/su151310107\u003c/span\u003e\u003cspan address=\"10.3390/su151310107\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e. Article 10107.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eO\u0026rsquo;Leary DE. AI and analytics for supply chain resilience. Decis Support Syst. 2020;130:113243. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.dss.2019.113243\u003c/span\u003e\u003cspan address=\"10.1016/j.dss.2019.113243\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003ePaniagua J, Sapena J. Business performance and ICT adoption: The role of digital transformation. Manag Decis. 2014;52(3):564\u0026ndash;80. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1108/MD-11-2013-0529\u003c/span\u003e\u003cspan address=\"10.1108/MD-11-2013-0529\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003ePapadopoulos T, Gunasekaran A, Dubey R, Altay N, Childe SJ, Wamba F, S., Roubaud D. The role of big data in explaining disaster resilience in supply chains for sustainability. J Bus Res. 2020;117:285\u0026ndash;97. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.jbusres.2018.07.031\u003c/span\u003e\u003cspan address=\"10.1016/j.jbusres.2018.07.031\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003ePark S, Ryu H. AI-driven HR analytics and employee engagement: Evidence from multinational corporations. Hum Resource Manage Rev. 2021;31(4):100783. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.hrmr.2020.100783\u003c/span\u003e\u003cspan address=\"10.1016/j.hrmr.2020.100783\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003ePfohl HC, Yahsi B, Kurnaz T. Digital transformation of supply chain management: The role of Industry 4.0. Logistics Res. 2017;10(1):3. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1186/s4102-017-0054-2\u003c/span\u003e\u003cspan address=\"10.1186/s4102-017-0054-2\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eQueiroz MM, Ivanov D, Dolgui A, Fosso Wamba S. Impacts of epidemic outbreaks on supply chains: A systematic review. Int J Prod Res. 2022;60(1):90\u0026ndash;110. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1080/00207543.2020.1762124\u003c/span\u003e\u003cspan address=\"10.1080/00207543.2020.1762124\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eQueiroz MM, Telles R, Bonilla SH. Blockchain adoption challenges in supply chain management: Insights from multiple sectors. Supply Chain Management: Int J. 2019;24(6):697\u0026ndash;713. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1108/SCM-05-2019-0206\u003c/span\u003e\u003cspan address=\"10.1108/SCM-05-2019-0206\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eRaj R, Srivastava M. Digital transformation and employee well-being: An emerging perspective from post-pandemic organizations. Int J Hum Comput Interact. 2021;37(16):1493\u0026ndash;506. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1080/10447318.2021.1890190\u003c/span\u003e\u003cspan address=\"10.1080/10447318.2021.1890190\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eRojko A. Industry 4.0 concept: Backgrounds and overview. Int J Interact Mob Technol. 2017;11(5):77\u0026ndash;90. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.3991/ijim.v11i5.7072\u003c/span\u003e\u003cspan address=\"10.3991/ijim.v11i5.7072\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eSaberi S, Kouhizadeh M, Sarkis J, Shen L. Blockchain technology and its relationships to sustainable supply chain management. Int J Prod Res. 2019;57(7):2117\u0026ndash;35. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1080/00207543.2018.1533261\u003c/span\u003e\u003cspan address=\"10.1080/00207543.2018.1533261\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eSaenz MJ, Revilla E, Knoppen D, Van Der Vorst J. Understanding supply chain resilience: A network perspective. Int J Oper Prod Manage. 2018;38(7):1531\u0026ndash;50. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1108/IJOPM-03-2017-0184\u003c/span\u003e\u003cspan address=\"10.1108/IJOPM-03-2017-0184\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eSarker S, Sahay S. Implications of space and time for distributed work: An interpretive study of US-Norwegian systems development teams. Eur J Inform Syst. 2004;13(1):3\u0026ndash;20. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1057/palgrave.ejis.3000492\u003c/span\u003e\u003cspan address=\"10.1057/palgrave.ejis.3000492\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eSarker S, Xiao X, Beaulieu T. Remote work adoption and organizational resilience: Evidence from global firms. Inform Syst Front. 2021;23(5):1203\u0026ndash;20. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1007/s10796-020-10087-5\u003c/span\u003e\u003cspan address=\"10.1007/s10796-020-10087-5\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eSchwab K. The fourth industrial revolution. Crown Bus. 2016. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1142/9789813276943_0003\u003c/span\u003e\u003cspan address=\"10.1142/9789813276943_0003\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eSeuring S, M\u0026uuml;ller M. Core issues in sustainable supply chain management \u0026ndash; A Delphi study. Bus Strategy Environ. 2008;17(8):455\u0026ndash;66. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1002/bse.607\u003c/span\u003e\u003cspan address=\"10.1002/bse.607\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eSharma G, Sharma S. Remote work, digital technologies and employee productivity: Empirical insights from IT sector. J Global Inform Technol Manage. 2020;23(3):157\u0026ndash;77. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1080/1097198X.2020.1789013\u003c/span\u003e\u003cspan address=\"10.1080/1097198X.2020.1789013\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eSim J, Nair A. ESG-driven digital transformation: Evidence from the global manufacturing sector. Technol Forecast Soc Chang. 2019;146:618\u0026ndash;27. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.techfore.2019.05.010\u003c/span\u003e\u003cspan address=\"10.1016/j.techfore.2019.05.010\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eSingh A, Hess T. How chief digital officers promote the digital transformation of their companies. MIS Q Exec. 2017;16(1):1\u0026ndash;17. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.17705/2msqe.00010\u003c/span\u003e\u003cspan address=\"10.17705/2msqe.00010\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eTaroun A, Yang JB. Dempster\u0026ndash;Shafer theory of evidence: Potential usage for decision making and risk analysis in construction project management. Built Hum Environ Rev. 2011;4(1):155\u0026ndash;66. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.ijproman.2011.04.001\u003c/span\u003e\u003cspan address=\"10.1016/j.ijproman.2011.04.001\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eVial G. Understanding digital transformation: A review and a research agenda. J Strategic Inform Syst. 2019;28(2):118\u0026ndash;44. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.jsis.2019.01.003\u003c/span\u003e\u003cspan address=\"10.1016/j.jsis.2019.01.003\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eWamba SF, Akter S, Edwards A, Chopin G, Gnanzou D. How \u0026lsquo;big data\u0026rsquo; can make big impact: Findings from a systematic review and a longitudinal case study. Int J Prod Econ. 2015;165:234\u0026ndash;46. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.ijpe.2014.12.031\u003c/span\u003e\u003cspan address=\"10.1016/j.ijpe.2014.12.031\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eWang G, Gunasekaran A, Ngai EWT, Papadopoulos T. Big data analytics in logistics and supply chain management: Certain investigations for research and applications. Int J Prod Econ. 2016;176:98\u0026ndash;110. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.ijpe.2016.03.014\u003c/span\u003e\u003cspan address=\"10.1016/j.ijpe.2016.03.014\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eZhang M, Huang Z. The impact of digital transformation on ESG performance: The role of supply chain resilience. Sustainability. 2024;16(17). \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.3390/su16177621\u003c/span\u003e\u003cspan address=\"10.3390/su16177621\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e. Article 7621.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eZhang Z, Zhao W, Cheng C. Digital Financial Development and the Occurrence of Financial Fraud-An Empirical Analysis Based on Information from China\u0026rsquo;s Adjudication Instruments Network. Financial Educ Res. 2023;36:3\u0026ndash;15.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eZhao Q, Li X, Li S. Analyzing the relationship between digital transformation strategy and ESG performance in large manufacturing enterprises: The mediating role of green innovation. Sustainability. 2023;15(13). \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.3390/su15139998\u003c/span\u003e\u003cspan address=\"10.3390/su15139998\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e. Article 9998.\u003c/span\u003e\u003c/li\u003e\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":"[email protected]","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":"Digital Transformation, AI, Blockchain, Data Analytics, Sustainability, ESG, Future of Work, Supply Chain Resilience, Employee Well-being","lastPublishedDoi":"10.21203/rs.3.rs-8676702/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-8676702/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eIn the wake of digital disruption and socio-economic volatility, organizations are increasingly relying on digital transformation, sustainability and adaptive work models to strengthen supply chain resilience and long-term competitiveness. This empirical study investigates the multidimensional relationship between digital transformation (AI, data analytics, block-chain adoption), sustainability practices (ESG orientation) and the evolving future of work (remote/hybrid models, diversity and inclusion and employee well-being). Using survey data collected from 420 managerial respondents across manufacturing, service and logistics sectors, structural equation modeling (SEM-PLS) was employed to test the hypothesized relationships. Results reveal that digital transformation significantly enhances sustainability orientation and supply chain resilience, mediated by ESG adoption and future work practices. Furthermore, organizations that embrace hybrid work and inclusive leadership exhibit higher adaptability, innovation and resilience against disruptions. The findings underscore that integrating technological, social and environmental priorities fosters both operational agility and long-term sustainability. This study contributes to the emerging discourse on sustainable digital ecosystems and provides actionable insights for corporate strategists, HR leaders and policymakers seeking to future-proof organizational resilience.\u003c/p\u003e","manuscriptTitle":"Empirical Analysis of Digital Transformation Sustainability and Future Work Models Shaping Supply Chain Resilience in the Post Pandemic Era","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2026-02-12 16:58:05","doi":"10.21203/rs.3.rs-8676702/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","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":"4a7b46b3-75dc-4273-809e-2d11175f3e94","owner":[],"postedDate":"February 12th, 2026","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2026-02-18T08:56:25+00:00","versionOfRecord":[],"versionCreatedAt":"2026-02-12 16:58:05","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-8676702","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-8676702","identity":"rs-8676702","version":["v1"]},"buildId":"XKTyCvWXoU3ODBz1xrDgd","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}