Frugality, Financial Resilience and Financial Wellbeing in Business Educators in Uganda

Frugality, Financial Resilience and Financial Wellbeing in Business Educators in Uganda | 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 Frugality, Financial Resilience and Financial Wellbeing in Business Educators in Uganda Julius Odida This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8095356/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 Purpose: This study aims to examine the relationship between frugality, financial resilience, and financial wellbeing among university business educators in Uganda. The research is motivated by the prolonged financial stress experienced by salaried professionals, particularly academic staff, following the COVID-19 pandemic, and the need to understand how personal financial behaviors influence wellbeing in such contexts. Design/methodology/approach: A cross-sectional and quantitative research design was adopted. Data were collected from 252 academic staff members at Makerere University Business School (MUBS), selected through simple random sampling from a population of 743. A structured questionnaire was used, and data were analyzed using SPSS and SmartPLS, employing descriptive statistics, factor analysis, Pearson correlation, and multiple regression analysis. Findings: Correlation and regression analyses examined links among frugality, financial resilience, and financial wellbeing of Ugandan university educators. Results showed strong positive correlations between frugality and financial wellbeing (r = .612, p < .01) and a moderate link between financial resilience and wellbeing (r = .392, p < .01). Frugality and resilience were also positively related (r = .287, p < .01). Regression findings revealed that both variables significantly predict financial wellbeing, jointly explaining 42.1% of its variance (Adjusted R² = .421). Frugality (β = .545) had a stronger effect than financial resilience (β = .236). Practical implications: The findings highlight the importance of promoting frugal financial habits and building financial resilience among academic professionals. For university administrators, financial educators, and policymakers, the study underscores the need to design targeted financial literacy programs that enhance budgeting skills, resourcefulness, and social support systems within academic institutions. Originality/value: To the best of the authors’ knowledge, this is the first empirical study to jointly assess the impact of frugality and financial resilience on financial wellbeing among university educators in a least developed country. Grounded in Knowledge Gap Theory (KGT), the study contributes to the understanding of how financial knowledge and behavior translate into wellbeing outcomes in homogeneous academic settings. Paper type: Research paper Frugality Financial resilience Financial wellbeing Business educators Social capital COVID-19 Uganda 1. Introduction The COVID-19 pandemic has been one of the most disruptive crises in recent times, causing widespread economic instability and social disruption (OECD, 2021 ). While its effects were global, Africa showed relative resilience compared to major economies like the United States and China. Nevertheless, individuals across all income levels faced financial challenges. Salaried professionals, in particular, are vulnerable due to fixed incomes, highlighting the importance of financial resilience and frugality for maintaining financial wellbeing (Prabhat Mittal, 2022 ). Even those earning regular salaries may struggle during crises, as limited income flexibility requires disciplined financial behavior. Research shows that financial wellbeing varies across age groups and is essential for coping with adversity (Wilmarth, 2021 ; Riitsalu & van Raaij, 2022; Morrow, 2008 ). Despite this, little empirical attention has focused on salaried academic professionals in sub-Saharan Africa, particularly university business educators. Although presumed financially literate, these educators may experience significant financial stress, warranting systematic investigation (Nanda & Banerjee, 2021 ). This study is grounded in Knowledge Gap Theory (KGT), which suggests that individuals with higher socioeconomic status are better able to acquire and use new information, leading to widening knowledge disparities (Tichenor et al., 1970 ; Wei & Yan, 2010 ). In the context of financial literacy, assumptions that knowledge automatically leads to good financial outcomes are often untested. Understanding the financial wellbeing of business educators, who are expected to reduce knowledge gaps in society, is therefore both timely and important. Focusing on university business educators in Uganda provides a relatively homogenous group in terms of socioeconomic and professional background, consistent with KGT, which posits that knowledge gaps narrow in more uniform populations. This study assumes similarities among this group regarding frugality, financial resilience, and financial wellbeing. Frugality is defined as a lifestyle marked by careful spending, responsible consumption, and optimal use of resources (Lastovicka et al., 1999 ; Matama & Matama, Mbago, Ngoboka, 2021 ). It includes spending discipline, delayed gratification, and reuse of resources. Studies link frugal behavior to financial security and psychological wellbeing, especially during economic stress (Soper & Thomas, 2006; Schmidtke et al., 2020 ; Hoffmann & Risse, 2020 ; Garðarsdóttir & Dittmar, 2012). Economic hardship often compels frugality, highlighting its role in resilience (Goldsmith et al., 2014 ). Financial resilience refers to the ability to withstand and recover from financial shocks (Salignac et al., 2016 ; Abbott-Chapman et al., 2008). It includes budgeting skills, asset management, adaptability, and leveraging social support. Salignac et al. ( 2019 ) identify four domains of financial resilience: economic resources, financial knowledge and behavior, financial resources, and social capital, with social networks providing crucial support during hardship (Orthner et al., 2004 ; Morrow, 2008 ; Norris, 2010 ). Financial wellbeing, the study’s outcome, reflects the ability to meet obligations, achieve goals, and experience financial security (Netemeyer et al., 2018 ; Kempson & Poppe, 2018 ). It influences both professional and personal life, making it a critical concern for educators. This study investigates: Do frugality and financial resilience predict financial wellbeing among university business educators in Uganda? By examining this specific population, it addresses gaps in knowledge and provides insights into the financial experiences of business educators in a least developed country context. The paper is structured as follows: Section 2 reviews relevant literature and hypotheses. Section 3 details methodology. Section 4 presents results, Section 5 discusses findings, and Section 6 concludes with implications and future research directions. 2. Literature Review 2.1 Theoretical Underpinnings This study is grounded in the Knowledge Gap Theory (KGT), initially proposed by Tichenor, Donohue, and Olien ( 1970 ). The theory posits that the infusion of mass media information into a social system leads to increased knowledge disparities between individuals of higher and lower socio-economic status. Applied to Uganda’s business education landscape, this implies that university business educators, occupying a relatively high socio-economic stratum—are expected to have superior access to and understanding of financial knowledge compared to others within the broader business ecosystem. Informed by the five mechanisms through which knowledge gaps emerge—communication skills, stored information, relevant social contexts, selective exposure, and media targeting (Tichenor et al., 1970 ), business educators are presumed to possess greater financial literacy and behavioral advantages. They are likely to understand and adopt concepts such as frugality, financial resilience, and ultimately demonstrate higher levels of financial wellbeing. Donohue et al. (1975) refine KGT by introducing contextual moderators. The knowledge gap narrows when: (1) issues are locally impactful, (2) the topic entails high social conflict, and (3) the community is homogeneous. These qualifiers resonate with the Ugandan context, especially during crises like COVID-19, where financial hardship is both universal and urgent. Business educators, operating in relatively homogeneous academic environments, are uniquely positioned to leverage financial knowledge for improved resilience and wellbeing. Despite its strengths, KGT has faced critique for overemphasizing knowledge acquisition while neglecting knowledge production. Rakow ( 1989 ), for instance, argues for a reorientation of the theory to address how individuals actively generate knowledge. This critique is pertinent in the digital era, where content creation and knowledge sharing via blogs, social media, and online teaching platforms (e.g., Zoom, WhatsApp, Teams) are increasingly democratized. 2.2 The Concept of Frugality Frugality is defined as the deliberate and disciplined use of resources, particularly financial, to maximize value and minimize waste. It includes behaviors such as budgeting, prioritizing needs over wants, delaying gratification, and reusing resources (Lastovicka et al., 1999 ; Matama et al., 2021 ). While often considered a lifestyle or personality trait, frugality can also serve as a coping mechanism during economic hardship, making it both voluntary and situational. Frugal individuals typically save regularly, compare prices, avoid unnecessary debt, and manage resources efficiently, promoting financial security and self-efficacy (Schmidtke et al., 2020 ; Riitsalu & Murakas, 2019 ; Hoffmann & Risse, 2020 ). Research consistently links frugality to higher financial wellbeing. Frugal behavior enhances life satisfaction and emotional contentment by fostering a sense of financial control, reducing stress, and improving mental health (Soper & Thomas, 2006; Anvari-Clark & Ansong, 2022 ). Beyond practical skills, frugality reflects values such as patience, self-regulation, and humility, which support sustainable consumption and resilience during economic fluctuations. Economic crises, such as the COVID-19 pandemic, often lead to involuntary frugality, where constrained spending is driven by reduced income, job loss, or rising costs. This behavior commonly involves the “Four Rs”: reuse, repair, repurpose, and recycle, helping individuals adapt to financial shocks (Goldsmith et al., 2014 ). In higher education, frugality carries particular relevance for university business educators. These professionals are assumed to possess high financial literacy and are expected to model prudent financial behavior. Yet, expertise does not always guarantee practice; educators may face similar pressures, lifestyle demands, and socio-cultural expectations as others. Frugality among them is shaped by individual traits like self-control and planning, as well as structural factors such as salary levels, job stability, and access to financial services. This study examines whether frugality significantly predicts financial wellbeing among business educators in Uganda. Understanding this relationship sheds light on how financial knowledge translates into personal practice and offers insights into the real-life financial behaviors of those tasked with teaching it, contributing to literature on financial behavior and wellbeing. H1. There is a significant positive relationship between frugality and financial wellbeing. 2.3 The Concept of Financial Resilience Financial resilience refers to an individual’s ability to withstand, adapt to, and recover from financial shocks or instability. Originally rooted in ecological systems theory, where resilience described ecosystems’ recovery from disruption (Holling, 1973 ), the concept has evolved to describe human financial behavior under uncertainty (Adger, 2000 ; Gunderson, 2009 ; Norris, 2010 ). Financial resilience is not merely avoiding hardship but reflects the dynamic capacity to “bounce back,” adjust strategies, and regain stability over time (Norris, 2010 ; Salignac et al., 2016 ). Resilience depends on the interplay of internal and external resources. Internal resources include personal traits and skills such as financial literacy, problem-solving, optimism, and emotional regulation, which enable effective planning, saving, and risk management. University business educators are expected to possess strong internal capabilities due to their academic training, allowing them to anticipate financial risks and implement strategic responses. External resources include access to financial services, income stability, social networks, institutional support, and community infrastructure (Norris et al., 2010; Salignac et al., 2019 ). Social capital, trust, reciprocity, and supportive networks, provides emotional and practical support during financial stress (Putnam et al., 1992 ; Morrow, 2008 ). However, economic vulnerability can limit resilience. Factors such as job insecurity, irregular income, limited assets, age, dependents, and systemic issues like inflation or delayed salaries reduce the ability to recover from financial shocks (Blaikie et al., 1994 ; Morrow, 2008 ). Even financially knowledgeable educators may face constraints in such contexts. Financial resilience is dynamic, shaped over time by experience, behavior, and socio-economic conditions (Cutter et al., 2008 ; Donnellan et al., 2009 ). Digital tools, online banking, mobile money, and financial information platforms, further enhance adaptive capacity, especially for educators familiar with digital networks. This study examines whether Ugandan university business educators demonstrate financial resilience through their internal capacities (e.g., knowledge, self-regulation) and external supports (e.g., institutional affiliation, peer networks) amid economic pressures. Understanding this relationship informs not only individual wellbeing but also institutional policies to support educator welfare and retention in challenging financial environments. H2. There is a significant positive relationship between financial resilience and financial wellbeing. 2.4 The Concept of Financial Wellbeing Financial wellbeing is a multidimensional concept that extends beyond income or access to financial services. It reflects an individual’s ability to manage finances confidently, meet current and future obligations, and feel secure and in control of their financial situation (Netemeyer et al., 2018 ). Core components include managing day-to-day finances, absorbing financial shocks, staying on track with goals, and having the freedom to make choices that support life satisfaction. Unlike financial inclusion, which emphasizes access to services, financial wellbeing focuses on outcomes and behaviors, how individuals use resources, make decisions, and navigate financial challenges (Kempson & Poppe, 2018 ). For business educators, financial wellbeing is especially significant. Personally, it affects quality of life, stress, and long-term security. Professionally, it shapes credibility, as educators are expected to model the financial principles they teach. If educators struggle financially, it raises questions about the practical application of financial literacy in higher education. In Uganda, this concern is acute: only 2% of households are considered financially well-off (NLFS, 2021), highlighting challenges in translating financial access and education into meaningful outcomes. Financial wellbeing is influenced by frugality and financial resilience. Frugality, spending discipline, delayed gratification, and resource reuse, enhances control over finances and reduces unnecessary expenses (Lastovicka et al., 1999 ; Schmidtke et al., 2020 ). Financial resilience, the capacity to recover from setbacks, supports long-term wellbeing (Salignac et al., 2019 ; Russell et al., 2020 ). Social capital, including networks, peer support, and trust, also buffers against financial challenges (Putnam et al., 1992 ; Morrow, 2008 ). Psychological factors, such as financial self-efficacy, confidence, and mindset, further shape financial behaviors. Educators who translate financial knowledge into disciplined personal practices, budgeting, saving, and investing, are more likely to experience financial stability and reduced stress (Netemeyer et al., 2018 ; Ensel & Lin, 1991 ). Understanding how these factors interact among Ugandan business educators provides insight into the link between financial literacy, behavior, and wellbeing, especially in contexts of economic instability. H3. Frugality and financial resilience have a significant combined effect on financial wellbeing among business educators. 2.5 The Digital Knowledge Landscape and the Role of Business Educators Digital technologies have transformed how knowledge is created, accessed, and shared. Tools such as video conferencing (Zoom, Teams), learning platforms (Google Classroom, Moodle), and messaging apps (WhatsApp, Telegram) have shifted knowledge exchange from centralized, top-down systems to more participatory models. Andrews ( 2003 ) describes this as a “many-hands perpetual feedback loop,” where users both consume and contribute content. This participatory culture has weakened traditional gatekeepers of financial knowledge, such as banks and formal institutions, while enabling broader access to financial education. Business educators, as both knowledge producers and transmitters, are well positioned to influence their own financial behavior and that of others. Their access to digital tools and academic literacy allows them to share strategies on frugality, financial resilience, and wellbeing, especially during socio-economic disruptions like COVID-19. Ideally, they model financial acumen through teaching, digital content, and public engagement. However, digital participation is not uniform. Wei and Yan ( 2010 ) note that online content often mirrors socio-economic divisions: wealthier, more educated users dominate professional discourse, while others focus on entertainment or personal storytelling. This can reproduce knowledge gaps if educators engage selectively, focusing on formal instruction but rarely sharing actionable personal finance practices online. Digital confidence also varies within academic groups. Factors such as age, gender, regional location, and institutional support influence how effectively educators adopt interactive tools like blogs, podcasts, or forums. Senior lecturers may be slower to explore these channels, while younger educators adapt more readily. Professional caution, stemming from image concerns, institutional rules, or conflicts of interest, may further limit the sharing of financial knowledge, reducing the broader impact on community financial resilience. This study thus asks: Are Ugandan business educators fully leveraging digital literacy and expertise to enhance their own financial wellbeing and influence students, peers, and communities? Understanding this is crucial in an era where digital tools can reshape how financial behavior is taught, learned, and modelled. 3. Methodology 3.1 Research Design, Population and Sample This study adopted a positivist epistemological stance, aiming to generate objective conclusions based on observable and measurable data. In alignment with the study's aim of examining frugality, financial resilience, and financial wellbeing among academic staff, a cross-sectional and quantitative research design was employed. The cross-sectional approach was chosen due to its strength in capturing data at a single point in time, facilitating the identification of relationships and trends without the influence of temporal fluctuations. The unit of analysis was the individual university business educator, while the unit of inquiry was also the individual staff member, reflecting the study’s individual-level focus on personal financial attitudes and behaviors. The population consisted of 743 academic staff members from Makerere University Business School (MUBS), the oldest and most prominent business school in Uganda, affiliated with Makerere University. This specific population was selected due to their relevant engagement with the constructs under study—particularly financial decision-making and sustainability in a professional academic context. Based on Krejcie and Morgan’s (1970) sample size determination table, a sample size of 252 was deemed appropriate. The sample encompassed academic staff across all levels, ranging from Teaching Assistants to Professors. Participants were selected using simple random sampling, ensuring each eligible staff member had an equal probability of selection. This sampling method enhanced the representativeness and generalisability of the findings across the academic community. 3.2 Demographic Characteristics The study achieved a response rate of 87.7%, with 221 out of 252 academic staff completing the survey instrument. This high response rate reflects robust engagement and enhances the reliability of the findings. The demographic distribution of the respondents is presented in the tables below: Table 1 Gender Distribution of Respondents Gender Frequency Valid (%) Cumulative (%) Male 134 60.6 60.6 Female 87 39.4 100.0 Total 221 100.0 Table 2 Age Distribution of Respondents Age Group Frequency Valid (%) Cumulative (%) 20–25 30 13.6 13.6 26–30 51 23.1 36.7 31–35 39 17.6 54.3 36–40 42 19.0 73.3 41–45 30 13.6 86.9 46–50 16 7.2 94.1 51–55 7 3.2 97.3 56–60 4 1.8 99.1 61–65 1 0.5 99.5 66+ 1 0.5 100.0 Total 221 100.0 Table 3 Educational Qualification of Respondents Education Level Frequency Valid (%) Cumulative (%) Bachelor's Degree 65 29.4 29.4 Master’s Degree 112 50.7 80.1 Doctor of Philosophy (Ph.D.) 43 19.5 99.5 Professional Qualification (CPA) 1 0.5 100.0 Total 221 100.0 Table 4 Marital Status of Respondents Marital Status Frequency Valid (%) Cumulative (%) Married 145 65.6 65.6 Single 76 34.4 100.0 Total 221 100.0 Table 5 Academic Ranks of Respondents Academic Rank Frequency Valid (%) Cumulative (%) Teaching Assistant 82 37.1 37.1 Assistant Lecturer 29 13.1 50.2 Lecturer 89 40.3 90.5 Senior Lecturer 14 6.3 96.8 Associate Professor 2 0.9 97.7 Professor 5 2.3 100.0 Total 221 100.0 Table 6 Employment Status of Respondents Employment Type Frequency Valid (%) Cumulative (%) Contract Basis 115 52.0 52.0 Permanent Basis 106 48.0 100.0 Total 221 100.0 3.3 Questionnaire and Variables Measurement The study employed a structured, self-administered questionnaire featuring closed-ended items on a six-point Likert scale, adapted from Spector (1992) to ensure clarity and minimize neutrality in responses. The scale ranged from 1 (Strongly Disagree) to 6 (Strongly Agree), fostering clarity and precision in participant responses. This approach was selected for its efficiency in reaching a geographically dispersed sample and for yielding quantifiable data amenable to statistical analysis. Three key constructs were measured in this study. Frugality was defined and measured based on the frameworks proposed by Lastovicka et al. ( 1999 ) and Matama (2017), and was operationalized through three distinct dimensions: spending discipline , resource re-use , and delayed gratification . Financial resilience, conceptualized as the capacity to recover from financial shocks, was adapted from the work of Salignac et al. ( 2019 ). This construct was assessed through four domains: economic resources , financial knowledge and behavior , and social capital . Consistent with Putnam et al. (1999), the social capital dimension was further strengthened by incorporating indicators such as reciprocity , trust , and honesty . Lastly, financial wellbeing, which served as the dependent variable, was derived from the model developed by Netemeyer et al. ( 2018 ) and contextualized to fit the Ugandan academic setting. It was measured across four dimensions: peace of mind , ability to meet financial obligations , achievement of financial goals , and financial security . The development of the questionnaire involved rigorous expert review to ensure both face and content validity, ensuring that the items were contextually relevant and aligned with the realities of the Ugandan academic environment. 3.4 Control Variables To mitigate confounding effects and improve the robustness of model estimations, employment status (contract vs. permanent) and academic rank were treated as control variables. These firmographic characteristics are considered influential in shaping an academic staff member’s access to financial resources and long-term financial planning. 3.5 Validity and Reliability To ensure instrument accuracy, content validity was assessed using expert evaluations from academia and policy practitioners in finance and education. Each item was rated on a six-point scale, and a Content Validity Index (CVI) exceeding the threshold of 0.7 was achieved, in line with Field (2009). Additionally, Cronbach’s alpha values were calculated to assess internal consistency. All constructs exceeded the acceptable reliability coefficient of 0.7, as recommended by Nunnally (1978), thereby confirming the instrument’s reliability. 3.6 Data Analysis Data analysis was conducted using SPSS Version 23 for initial data cleaning, including handling missing data (less than 5%) using linear interpolation, and verification through cross-tabulations. Subsequently, SmartPLS Version 3 was employed for Partial Least Squares Structural Equation Modelling (PLS-SEM). This method was chosen for its ability to handle complex models and its flexibility with non-normal data, as recommended by Hair et al. (2017). The PLS-SEM approach involved analysis of both the measurement model—to assess construct reliability and validity—and the structural model—to evaluate hypothesized relationships among constructs. The selection of SmartPLS was also justified due to its suitability for the sample size of 221, its robustness in handling latent variables, and its proven effectiveness in exploratory research contexts (Henseler et al., 2014; Fornell & Bookstein, 1982). 4. Results 4.1. Factor Analysis – Frugality and Financial Well-Being To examine the construct validity of the measurement items used for frugality and financial well-being, exploratory factor analysis was conducted, following the established procedures outlined by Field (2009) and Hair et al. (2017). The Kaiser-Meyer-Olkin (KMO) measure of sample adequacy and Bartlett’s Test of Sphericity were used to evaluate the appropriateness of the data for factor analysis. The results yielded KMO values greater than 0.7 and statistically significant Bartlett’s test outcomes (p < 0.05), confirming the data's suitability for principal component analysis with Varimax rotation. Consistent with the criteria established by Kaiser (1974) and Field (2009), only factors with eigenvalues greater than 1.0 were retained. 4.1.1. Frugality Factor analysis performed on the frugality construct extracted 13 components, collectively accounting for a significant portion of the total variance. The retained components—Spend Thrift, Minimal Resource Usage, Effective Food Management, Necessity Spending, Economic Purchasing, Self-Work to Replace External Party, Exploring Resource Re-usability, Effective Family Spending, Effective Resource Use, Deliberate Economic Spending, Expenditure Planning, Awareness of Personal Expenses, and Healthy Living—reflect the multidimensional nature of frugality. These factors align with prior work emphasizing behavioral patterns linked to resource-consciousness (Hair et al., 2017). All retained components demonstrated satisfactory factor loadings above the recommended threshold of 0.4, thereby confirming the convergent validity of the scale items. The cumulative variance explained by the extracted factors supports the structural integrity and discriminant validity of the frugality construct. 4.1.2. Financial Well-Being A similar factor analysis was conducted on the financial well-being construct. Four distinct components were retained: Financial Security, Enhanced Savings Levels, Good Standards of Living, and Effective Management of Personal Finances. These factors jointly explained a cumulative variance that aligned with recommended benchmarks (Field, 2009). Each factor had acceptable item loadings above the 0.4 threshold (Hair et al., 2017), as confirmed in the appendix. The factor structure highlights both subjective and objective indicators of financial well-being among academic staff, thus substantiating the discriminant validity of the measurement items used. 4.1.3 Financial Resilience of Academic Staff in Public Universities In evaluating the financial resilience of academic staff, four core dimensions were analyzed: economic resources, financial resources, financial knowledge and behavior, and social capital. The results are summarized in Tables 4.4.1 to 4.1.4. Table 4.1 .1 Economic Resources of Academic Staff Component Mean Std. Dev Interpretation Savings 3.24 1.44 Indicates limited to moderate levels of savings among staff. Debt Management 3.67 1.19 Most staff are managing their debts well or paying them off comfortably. Ability to raise UGX 1,000,000 3.47 1.46 On average, staff could raise emergency funds, though not all are confident. Ability to meet living expenses 3.39 1.16 Staff can meet their expenses fairly well, though some experience difficulty. Average Score 3.44 1.31 Suggests average to slightly above average ability in managing economic needs. Source: Primary Data Table 4.1 .2 Financial Resources Access and Usage Component Mean Std. Dev Interpretation Bank Account Usage 2.73 1.34 Most staff use their bank accounts primarily for withdrawals, less for savings. Access to Credit 3.24 1.37 Access to informal credit is more common than formal institutional loans. Unmet Credit Demand 3.19 1.36 Moderate unmet demand for credit services exists among staff. Access to Insurance 2.91 1.47 Many lack insurance coverage, though a few staff are moderately insured. Average Score 3.02 1.39 Reflects average access and utilization of financial products and services. Source: Primary Data Table 4.1 .3 Financial Knowledge and Behavior Component Mean Std. Dev Interpretation Financial Knowledge 3.51 1.21 Staff have basic to good understanding of financial products and services. Confidence in Fin. Services 3.69 1.22 Most staff have reasonable confidence in using financial institutions. Advice on Finances 3.81 1.16 Majority would consider seeking financial advice or services. Solidarity 3.55 1.18 Staff demonstrate moderate levels of collective support and group spirit. Proactive Financial Action 3.67 1.08 Some staff take proactive financial actions, like planning and budgeting. Average Score 3.65 1.17 Indicates average to good financial behavior and understanding. Source: Primary Data Table 4.1 .4 Social Capital Among Staff Component Mean Std. Dev Interpretation Social Networks 3.87 0.93 Staff generally have strong and supportive social connections. Trustworthiness in Networks 3.57 1.40 Trust levels in social networks range from moderate to low in some instances. Average Score 3.72 1.17 Suggests an average level of social capital among academic staff. Source: Primary Data 4.2. Correlation Analysis A correlation analysis was conducted using IBM SPSS to explore the relationships among Frugality, Financial Resilience, and Financial Wellbeing of academic staff members at a public university in Uganda. This analysis aimed to determine whether and how these three variables are connected. The Pearson correlation coefficient (r) was used to measure the strength and direction of the relationship between each pair of variables. The value of r ranges from − 1 to + 1. A value close to + 1 indicates a strong positive relationship (both variables increase together), while a value close to -1 shows a strong negative relationship (one increases while the other decreases). A value near 0 means there is no meaningful relationship between the two. The results are summarized in the table below. All correlations were statistically significant at the 0.01 level (2-tailed), which means we can be 99% confident that these relationships are not due to chance. The findings reveal a strong positive correlation between Frugality and Financial Wellbeing (r = .612, p < 0.01), indicating that academic staff members who display more frugal behaviors tend to experience better financial wellbeing. In other words, people who manage resources carefully, avoid unnecessary spending, and plan their expenditures well are more likely to feel financially secure and stable. There is also a moderate positive correlation between Financial Resilience and Financial Wellbeing (r = .392, p < 0.01). This suggests that academic staff who are able to bounce back from financial setbacks and manage financial stress also tend to enjoy a higher level of financial wellbeing. Additionally, Frugality and Financial Resilience are positively related as well, with a correlation coefficient of r = .287 (p < 0.01). This means that individuals who are more frugal also tend to be more financially resilient, though this relationship is weaker compared to the others. The Pearson correlation coefficients are presented in Table 4.2 . Table 4.2 Pearson Correlation Matrix Variable 1 2 3 Frugality (1) 1 Financial Resilience (2) .287** 1 Financial Wellbeing (3) .612** .392** 1 Note: Correlation is significant at the 0.01 level (2-tailed). Source: Primary Data The results show a strong positive correlation between frugality and financial wellbeing (r = .612, p < 0.01), and a moderate positive relationship between financial resilience and financial wellbeing (r = .392, p < 0.01). A weaker but significant correlation was observed between frugality and financial resilience (r = .287, p < 0.01), indicating that resource-conscious individuals tend to be more financially resilient. 4.3. Regression Analysis A multiple regression analysis was conducted using SPSS to examine the extent to which frugality and financial resilience predict the financial wellbeing of academic staff in public universities in Uganda. The objective was to determine the proportion of variance in financial wellbeing explained by these two predictors. As presented in Table 1 , the regression model yielded an R value of .653, indicating a strong positive correlation between the independent variables (frugality and financial resilience) and financial wellbeing. The R Square value of .426 shows that approximately 42.6% of the variance in financial wellbeing is jointly explained by frugality and financial resilience. The Adjusted R Square of .421 suggests minimal shrinkage, confirming the model’s stability and generalizability to the wider academic staff population. This implies that while frugality and resilience are strong predictors, other unexamined factors may also influence financial wellbeing. The model was statistically significant, F(2, 218) = 80.985, p < .001, confirming that the combined effect of frugality and financial resilience significantly predicts financial wellbeing. This strong model fit demonstrates that the inclusion of these two predictors contributes meaningfully to explaining variations in financial wellbeing among the respondents. Both predictors exhibited positive and statistically significant effects on financial wellbeing. The standardized Beta coefficient for frugality (β = .545, p < .001) indicates that higher levels of frugality are strongly associated with improved financial wellbeing. Similarly, the standardized Beta coefficient for financial resilience (β = .236, p < .001) shows that individuals with greater financial resilience also tend to experience higher financial wellbeing, though the effect is comparatively smaller. These results suggest that frugality exerts a stronger influence on financial wellbeing than financial resilience. Overall, the regression model demonstrates that frugality and financial resilience together explain 42.1% of the variance in financial wellbeing (Adjusted R² = .421). This indicates that while both constructs are important determinants of financial wellbeing, other contextual and personal factors, such as income levels, financial literacy, job security, and institutional support, may also play complementary roles. Table 4.3 .1 Regression Analysis Model Unstandardized Coefficients (B) Std. Error Standardized Coefficients (Beta) t Sig. (Constant) .894 .202 4.420 .000 Frugality .579 .057 .545 10.176 .000 Financial Resilience .156 .035 .236 4.408 .000 a. Dependent Variable : Financial Wellbeing Model R R Square Adjusted R Square Std. Error of the Estimate Change Statistics 1 .653 .426 .421 .40086 R Square Change F Change 0.426 80.985 a. Predictors : (Constant), Financial Resilience, Frugality Source: Primary Data 5. Discussion The findings in Table X confirm a statistically significant and strong positive relationship between frugality and financial wellbeing among academic staff in Ugandan public universities, supporting H1. The correlation coefficient (r = .612, p < .01) and standardized regression coefficient (β = .545, p < .001) indicate that frugality is a major determinant of financial wellbeing. Individuals demonstrating higher frugality, through disciplined spending, consistent saving, and debt avoidance, report greater financial stability. This aligns with Netemeyer et al. ( 2018 ) and Anvari-Clark and Ansong ( 2022 ), who highlight frugality’s protective role in long-term financial wellness. In Uganda’s resource-constrained context, where academic staff often face limited or delayed income, frugality functions not just as a lifestyle but as a survival mechanism. This supports Lastovicka et al.’s ( 1999 ) view of frugality as both a personal trait and a coping strategy. Drawing from dynamic capability theory (Barney, 1991 ; Teece et al., 1997), frugality can be conceptualized as a behavioral resource enhancing individuals’ adaptive financial capacity. Staff who practice frugality reconfigure spending and saving routines to respond to financial uncertainty, promoting resilience and long-term stability. Such behaviors reflect micro-level capability building that improves personal financial outcomes. Institutionally, these findings suggest that embedding frugality-promoting initiatives, such as savings workshops, budgeting seminars, and expenditure management programs, within staff development could enhance financial wellbeing, job satisfaction, and productivity by reducing financial stress. The study also reveals a statistically significant positive relationship between financial resilience and financial wellbeing (r = .392, p < .01), supporting H2. Regression analysis (β = .236, p < .001) indicates that while resilience contributes meaningfully to financial wellbeing, its influence is weaker than frugality’s. Financial resilience, measured through access to savings, debt management, credit, insurance, and social capital, aligns with Norris et al.’s (2010) multidimensional model of resilience encompassing internal and external resources. These results echo Kempson et al. (2018), who note that resilience buffers individuals from financial shocks, particularly in volatile economies like Uganda’s. The moderate correlation between resilience and wellbeing underscores adaptability’s importance in financial behavior. In line with dynamic capability theory (Teece et al., 1997), resilience allows individuals to absorb shocks and reposition themselves financially, similar to how firms adapt to environmental changes. Among academic staff, this may involve leveraging social networks, diversifying income sources, or utilizing institutional welfare mechanisms. Consequently, financial wellness programs should extend beyond education to include resilience-building components, emergency fund strategies, debt management, and digital financial literacy. Institutions should also enhance access to cooperative loans, micro-insurance, and employee welfare funds as financial safety nets. The joint effect of frugality and resilience on financial wellbeing is substantial, explaining 42.1% of its variance (Adjusted R² = .421), thus supporting H3. The regression model (F = 80.985, p < .001) confirms that these two constructs jointly offer a strong explanatory framework for financial wellbeing among academic staff. Although frugality is the stronger predictor, its moderate correlation with resilience (r = .287, p < .01) suggests a mutually reinforcing relationship. This aligns with Schmidtke et al. ( 2020 ), who argue that disciplined spenders are better positioned to develop resilience. The combined effect appears synergistic, where both behaviors strengthen each other over time. These results extend dynamic capability theory by showing how individuals employ behavioral (frugality) and adaptive (resilience) strategies to maintain financial equilibrium. The ability to plan proactively while recovering from financial disruptions represents a dual-pathway model of financial capability. Institutional implications are clear: financial wellbeing initiatives should integrate both proactive habits (budgeting, saving) and contingency planning (emergency funds, credit access). Training should link frugality and resilience rather than treating them separately, for instance, combining expense tracking with coping strategies for salary delays or economic shocks. 6. Conclusion, Limitations and Future Research This study set out to examine the influence of frugality and financial resilience on the financial wellbeing of academic staff in public universities in Uganda. Specifically, it aimed to: (i) investigate the relationship between frugality and financial wellbeing, (ii) assess the relationship between financial resilience and financial wellbeing, and (iii) evaluate the combined effect of frugality and financial resilience on financial wellbeing. These objectives were addressed through quantitative analyses of data collected from academic staff across selected public universities in Uganda. The study’s findings confirm that both frugality and financial resilience significantly and positively impact financial wellbeing, with frugality emerging as the strongest predictor. Academic staff who adopt frugal behaviors—such as deliberate spending, consistent saving, and avoidance of unnecessary debt—tend to experience higher levels of financial stability and control. Financial resilience, while less potent than frugality, also plays a crucial role by equipping individuals with the capacity to manage financial shocks and recover from unexpected setbacks. The combined predictive power of these two factors explains a substantial 42.1% of the variance in financial wellbeing, offering a robust framework for understanding financial outcomes within this population. These findings contribute meaningfully to the broader theoretical discourse on personal finance and behavioral economics, underscoring the importance of adaptive and proactive financial behaviors. In line with the dynamic capability theory (Barney, 1991 ; Teece et al., 1997), the study highlights frugality and financial resilience as personal capabilities that enhance financial adaptability and control, particularly in the context of limited or unstable income common within Uganda’s public university system. From a practical standpoint, this research offers actionable insights for university administrators, financial institutions, and policymakers. Promoting frugal financial behavior through training and peer engagement initiatives, and strengthening resilience through savings schemes, insurance access, and social support systems, can jointly foster more financially secure and resilient academic staff. Furthermore, these findings underscore the value of integrating comprehensive financial education within staff development programs and revisiting institutional salary and incentive structures to reduce vulnerability and enhance wellbeing. The implications of this research also extend to national policy frameworks aimed at improving the welfare of public servants and promoting financial inclusion. By identifying frugality and resilience as key levers of financial wellbeing, this study provides a useful evidence base for developing targeted interventions that support financial stability among knowledge workers in developing economies. Despite these contributions, several limitations must be acknowledged. The study’s reliance on self-reported data introduces the possibility of social desirability bias, potentially affecting the accuracy of responses. Its cross-sectional design limits causal inferences, and the exclusive focus on academic staff in public universities restricts the generalisability of findings across other institutional or professional contexts. Additionally, the use of purely quantitative methods may have constrained the exploration of deeper, subjective experiences related to financial behavior. To address these limitations and further advance knowledge in this area, future research should adopt broader, more inclusive, and mixed-methods approaches. Incorporating qualitative techniques such as interviews or focus group discussions could offer richer insights into the motivations, constraints, and values shaping frugality and resilience. Longitudinal studies would also be valuable in examining how these traits evolve over time and influence long-term financial wellbeing. Moreover, future investigations should consider the role of additional variables—such as financial literacy, income levels, access to credit, household responsibilities, and psychological traits like self-efficacy or financial anxiety—in shaping financial wellbeing. Comparative studies between public and private institutions, as well as between rural and urban universities, could also illuminate contextual variations and institutional influences. Cultural and demographic factors—such as age, gender, and traditional financial practices, deserve further exploration to better tailor financial education and support interventions. Finally, future research could evaluate the effectiveness of specific financial education programs or policy initiatives in enhancing frugality, resilience, and overall financial wellbeing among academic staff and beyond. In summary, this study offers a foundational understanding of how frugality and financial resilience collectively influence the financial wellbeing of academic staff in Ugandan public universities. While the findings are subject to certain limitations, they open multiple avenues for further scholarly inquiry and practical application. Promoting financial prudence and adaptive capacity among university employees holds promise not only for individual wellbeing but also for institutional performance and national development. Declarations Ethics Approval Statement This study was reviewed and approved by the Makerere University Business School Research Ethics Committee (MUBS-REC), reference number MUBS-REC/2023/041. Participant Consent Statement All participants provided informed consent prior to their involvement in the study. Participation was voluntary, and confidentiality was assured. The need for written consent was waived by the approving ethics committee due to the minimal risk nature of the study. References Adger W (2000) Social and ecological resilience: Are they related? Prog Hum Geogr, 24 Andrews P (2003) Is blogging journalism? Nieman Rep, 57 (3) Anvari-Clark J, Ansong D (2022) Predicting financial wellbeing using the financial capability perspective: The roles of financial shocks, income volatility, financial products, and savings behaviors. J Fam Econ Issues. https://doi.org/10.1007/s10834-022-09849-w Barney JB (1991) Firm resources and sustained competitive advantage. J Manag, 17 Blaikie P, Cannon T, Davis I, Wisner B (1994) At risk: Natural hazards, people’s vulnerability, and disasters. Routledge, New York Bonanno G (2005) Clarifying and extending the construct of adult resilience. Am Psychol, 60 Briguglio L, Cordina G, Farrugia N, Vella S (2008) Economic vulnerability and resilience: Concepts and measurements. 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Nanda AP, Banerjee R (2021) Consumer’s subjective financial well-being: A systematic review and research agenda. Int J Consumer Stud 45(4):750–776. https://doi.org/10.1111/ijcs.1266 National Labor Force Survey (NLFS) (2021) Main Report. Uganda Bureau of Statistics, Kampala Netemeyer RG, Warmath D, Fernandes D, Lynch JG Jr (2018) How am I doing? Perceived financial well-being, its potential antecedents, and its relation to overall well-being. J Consum Res 45(1):68–89 Norris FH (2010) Behavioral science perspectives on resilience. CARRI Research Report 10: Community and Regional Resilience Institute. OECD (2021) Financial education responses to COVID-19. OECD Publishing. https://www.oecd.org/financial/education/financial-education-responses-to-covid-19.htm Orthner DK, Jones-Sanpei H, Williamson S (2004) The resilience and strengths of low-income families. Fam Relat 53(2):129–167 Prabhat, Mittal (2022) Financial literacy and digital product use for financial inclusion: A GETU model to develop financial literacy Putnam RD, Leonardi R, Nanetti RY (1992) Making democracy work: Civic traditions in modern Italy. Princeton University Press Rakow LF (1989) Information and power: Toward a critical theory of information campaigns. In: Salmon C (ed) Information campaigns: Balancing social values and social change. Sage, Newbury Park, NJ, pp 164–184 Riitsalu L, Murakas R (2019) Subjective financial knowledge, prudent behaviour and income: The predictors of financial wellbeing in Estonia. Int J Bank Mark 37(4):934–950. https://doi.org/10.1108/IJBM-03-2018-0071 Russell R, Kutin J, Marriner T (2020) Financial capability research in Australia. RMIT https://www.rmit.edu.au/about/schools-colleges/economics-finance-and-marketing Salignac F, Marjolin A, Reeve R, Muir K (2019) Conceptualizing and measuring financial resilience: A multidimensional framework. Soc Indic Res 145:17–38 Salignac F, Muir K, Wong J (2016) Are you really financially excluded if you choose not to be included? Insights from social exclusion, resilience and ecological systems. J Social Policy 45(2):269–286. https://doi.org/10.1017/S0047279415000677 Schiller HI (1981) Who knows information in the age of the Fortune 500. Ablex Publishing, Norwood, NJ Schiller HI (1984) Information and the crisis economy. Ablex Publishing, Norwood, NJ Schmidtke KA, Elliott A, Patel K, King D, Vlaev I (2020) A randomized controlled trial to evaluate interventions designed to improve university students’ subjective financial wellness in the United Kingdom. J Financial Couns Plann. https://doi.org/10.1891/JFCP-1 Schoon I, Bynner J (2003) Risk and resilience in the life course: Implications for interventions and social policies. J Youth Stud 6(1):21–31 Seccombe K (2002) Beating the odds versus changing the odds: Poverty, resilience, and family policy. J Marriage Family 64(2):384–394 Tichenor PJ, Donohue GA, Olien CN (1970) Mass media flow and differential growth in knowledge. Pub Opin Q, 34 Viswanath K, Finnegan R Jr. (1996) The knowledge gap hypothesis twenty-five years later. In: Burleson BR (ed) Communication Yearbook 19. Sage, Thousand Oaks, CA Wei L (2009) Filter blogs vs. personal journals: Understanding the knowledge production gap on the internet. J Computer-Mediated Communication 14(3):552–558 Wei L, Yan Y (2010) Knowledge production and political participation: Reconsidering the knowledge gap theory in the Web 2.0 environment. 978-1-4244-5265-1/10/&26.00 Wilmarth MJ (2021) Financial and economic well-being: A decade review from Journal of Family and Economic Issues . J Fam Econ Issues 42(1):124–130. https://doi.org/10.1007/s10834-020-09730-8 Additional Declarations The authors declare no competing interests. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-8095356","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":543868460,"identity":"83c90353-bf85-4cad-b724-e1cf05d3171e","order_by":0,"name":"Julius Odida","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA70lEQVRIie2PsYrCQBCGZ1nYNKO2Gy6crxBLiXKvYrBIo+8QCcRmz1or3yK1YV/CYxvFViF24Uhxm4il2ZTC7Qf78xfzsTMAFstbEsYcEDym66HQwZyOCmqF5NtaoUZlBlwn6kdlnWBSBs58dSw9iX0eneTkNxv2KZDivnituOKcjAVKZHzhy+VGjVIK1N1lrxX/GKYcHwrIpVBEK4z2DIpbNYpebCzUVyfl4/HLzJdQqtCo1LcEHkbI8Orn37Gap5QkrbcMnOj8cxPB53AdXYqyUtP9OsmLe4vSQMSzpE3Ghvma8lmqDsMWi8Xy7/gD8QNOwDUpymYAAAAASUVORK5CYII=","orcid":"https://orcid.org/0009-0005-5250-1303","institution":"Makerere University Business School","correspondingAuthor":true,"prefix":"","firstName":"Julius","middleName":"","lastName":"Odida","suffix":""}],"badges":[],"createdAt":"2025-11-12 10:41:30","currentVersionCode":1,"declarations":{"humanSubjects":true,"vertebrateSubjects":false,"conflictsOfInterestStatement":false,"humanSubjectEthicalGuidelines":true,"humanSubjectConsent":true,"humanSubjectClinicalTrial":false,"humanSubjectCaseReport":false,"vertebrateSubjectEthicalGuidelines":false},"doi":"10.21203/rs.3.rs-8095356/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-8095356/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":96060150,"identity":"0719b7bf-7c45-41d9-a791-af9b8bcc9378","added_by":"auto","created_at":"2025-11-17 08:25:25","extension":"doc","order_by":0,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":164864,"visible":true,"origin":"","legend":"","description":"","filename":"FRUGALITYFRFWBBUSINESSEDUCATORS.doc","url":"https://assets-eu.researchsquare.com/files/rs-8095356/v1/c863b5470d597e925583172b.doc"},{"id":96060212,"identity":"1e45ec2d-3f38-4221-a45e-bf316b7ee0c4","added_by":"auto","created_at":"2025-11-17 08:25:31","extension":"json","order_by":1,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":342,"visible":true,"origin":"","legend":"","description":"","filename":"rs8095356.json","url":"https://assets-eu.researchsquare.com/files/rs-8095356/v1/6cc4fdde33e80315dca80c81.json"},{"id":96060215,"identity":"559f640a-9cb8-439c-b51a-084ea1ffb318","added_by":"auto","created_at":"2025-11-17 08:25:32","extension":"xml","order_by":2,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":145591,"visible":true,"origin":"","legend":"","description":"","filename":"rs80953560enriched.xml","url":"https://assets-eu.researchsquare.com/files/rs-8095356/v1/0f469230e5a40f34d2345484.xml"},{"id":96060199,"identity":"9069fd6a-3ea4-445d-b231-f7ff990ec307","added_by":"auto","created_at":"2025-11-17 08:25:30","extension":"xml","order_by":3,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":140243,"visible":true,"origin":"","legend":"","description":"","filename":"rs80953560structuring.xml","url":"https://assets-eu.researchsquare.com/files/rs-8095356/v1/f63a62046ee6900064326895.xml"},{"id":96060156,"identity":"cd2a5f89-73f3-48a7-9b68-10d9a15b3e76","added_by":"auto","created_at":"2025-11-17 08:25:25","extension":"html","order_by":4,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":152691,"visible":true,"origin":"","legend":"","description":"","filename":"earlyproof.html","url":"https://assets-eu.researchsquare.com/files/rs-8095356/v1/c71bbb7fb59082ad12f4802c.html"},{"id":96060252,"identity":"a5ad580b-b657-45a4-ae39-1d7e9c7a73ca","added_by":"auto","created_at":"2025-11-17 08:25:37","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1436729,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-8095356/v1/de618b45-85da-4892-a576-6e45568fb66e.pdf"}],"financialInterests":"The authors declare no competing interests.","formattedTitle":"\u003cp\u003e\u003cstrong\u003eFrugality, Financial Resilience and Financial Wellbeing in Business Educators in Uganda\u003c/strong\u003e\u003c/p\u003e","fulltext":[{"header":"1. Introduction","content":"\u003cp\u003eThe COVID-19 pandemic has been one of the most disruptive crises in recent times, causing widespread economic instability and social disruption (OECD, \u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e2021\u003c/span\u003e). While its effects were global, Africa showed relative resilience compared to major economies like the United States and China. Nevertheless, individuals across all income levels faced financial challenges. Salaried professionals, in particular, are vulnerable due to fixed incomes, highlighting the importance of financial resilience and frugality for maintaining financial wellbeing (Prabhat Mittal, \u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e2022\u003c/span\u003e). Even those earning regular salaries may struggle during crises, as limited income flexibility requires disciplined financial behavior. Research shows that financial wellbeing varies across age groups and is essential for coping with adversity (Wilmarth, \u003cspan citationid=\"CR53\" class=\"CitationRef\"\u003e2021\u003c/span\u003e; Riitsalu \u0026amp; van Raaij, 2022; Morrow, \u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e2008\u003c/span\u003e). Despite this, little empirical attention has focused on salaried academic professionals in sub-Saharan Africa, particularly university business educators. Although presumed financially literate, these educators may experience significant financial stress, warranting systematic investigation (Nanda \u0026amp; Banerjee, \u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e2021\u003c/span\u003e).\u003c/p\u003e\u003cp\u003eThis study is grounded in Knowledge Gap Theory (KGT), which suggests that individuals with higher socioeconomic status are better able to acquire and use new information, leading to widening knowledge disparities (Tichenor et al., \u003cspan citationid=\"CR49\" class=\"CitationRef\"\u003e1970\u003c/span\u003e; Wei \u0026amp; Yan, \u003cspan citationid=\"CR52\" class=\"CitationRef\"\u003e2010\u003c/span\u003e). In the context of financial literacy, assumptions that knowledge automatically leads to good financial outcomes are often untested. Understanding the financial wellbeing of business educators, who are expected to reduce knowledge gaps in society, is therefore both timely and important. Focusing on university business educators in Uganda provides a relatively homogenous group in terms of socioeconomic and professional background, consistent with KGT, which posits that knowledge gaps narrow in more uniform populations. This study assumes similarities among this group regarding frugality, financial resilience, and financial wellbeing.\u003c/p\u003e\u003cp\u003eFrugality is defined as a lifestyle marked by careful spending, responsible consumption, and optimal use of resources (Lastovicka et al., \u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e1999\u003c/span\u003e; Matama \u0026amp; Matama, Mbago, Ngoboka, \u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e2021\u003c/span\u003e). It includes spending discipline, delayed gratification, and reuse of resources. Studies link frugal behavior to financial security and psychological wellbeing, especially during economic stress (Soper \u0026amp; Thomas, 2006; Schmidtke et al., \u003cspan citationid=\"CR46\" class=\"CitationRef\"\u003e2020\u003c/span\u003e; Hoffmann \u0026amp; Risse, \u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e2020\u003c/span\u003e; Gar\u0026eth;arsd\u0026oacute;ttir \u0026amp; Dittmar, 2012). Economic hardship often compels frugality, highlighting its role in resilience (Goldsmith et al., \u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e2014\u003c/span\u003e).\u003c/p\u003e\u003cp\u003eFinancial resilience refers to the ability to withstand and recover from financial shocks (Salignac et al., \u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e2016\u003c/span\u003e; Abbott-Chapman et al., 2008). It includes budgeting skills, asset management, adaptability, and leveraging social support. Salignac et al. (\u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e2019\u003c/span\u003e) identify four domains of financial resilience: economic resources, financial knowledge and behavior, financial resources, and social capital, with social networks providing crucial support during hardship (Orthner et al., \u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e2004\u003c/span\u003e; Morrow, \u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e2008\u003c/span\u003e; Norris, \u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e2010\u003c/span\u003e).\u003c/p\u003e\u003cp\u003eFinancial wellbeing, the study\u0026rsquo;s outcome, reflects the ability to meet obligations, achieve goals, and experience financial security (Netemeyer et al., \u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e2018\u003c/span\u003e; Kempson \u0026amp; Poppe, \u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e2018\u003c/span\u003e). It influences both professional and personal life, making it a critical concern for educators.\u003c/p\u003e\u003cp\u003eThis study investigates: Do frugality and financial resilience predict financial wellbeing among university business educators in Uganda? By examining this specific population, it addresses gaps in knowledge and provides insights into the financial experiences of business educators in a least developed country context.\u003c/p\u003e\u003cp\u003eThe paper is structured as follows: Section \u003cspan refid=\"Sec2\" class=\"InternalRef\"\u003e2\u003c/span\u003e reviews relevant literature and hypotheses. Section \u003cspan refid=\"Sec8\" class=\"InternalRef\"\u003e3\u003c/span\u003e details methodology. Section \u003cspan refid=\"Sec15\" class=\"InternalRef\"\u003e4\u003c/span\u003e presents results, Section \u003cspan refid=\"Sec22\" class=\"InternalRef\"\u003e5\u003c/span\u003e discusses findings, and Section \u003cspan refid=\"Sec23\" class=\"InternalRef\"\u003e6\u003c/span\u003e concludes with implications and future research directions.\u003c/p\u003e"},{"header":"2. Literature Review","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e\u003ch2\u003e2.1 Theoretical Underpinnings\u003c/h2\u003e\u003cp\u003eThis study is grounded in the Knowledge Gap Theory (KGT), initially proposed by Tichenor, Donohue, and Olien (\u003cspan citationid=\"CR49\" class=\"CitationRef\"\u003e1970\u003c/span\u003e). The theory posits that the infusion of mass media information into a social system leads to increased knowledge disparities between individuals of higher and lower socio-economic status. Applied to Uganda\u0026rsquo;s business education landscape, this implies that university business educators, occupying a relatively high socio-economic stratum\u0026mdash;are expected to have superior access to and understanding of financial knowledge compared to others within the broader business ecosystem.\u003c/p\u003e\u003cp\u003eInformed by the five mechanisms through which knowledge gaps emerge\u0026mdash;communication skills, stored information, relevant social contexts, selective exposure, and media targeting (Tichenor et al., \u003cspan citationid=\"CR49\" class=\"CitationRef\"\u003e1970\u003c/span\u003e), business educators are presumed to possess greater financial literacy and behavioral advantages. They are likely to understand and adopt concepts such as frugality, financial resilience, and ultimately demonstrate higher levels of financial wellbeing.\u003c/p\u003e\u003cp\u003eDonohue et al. (1975) refine KGT by introducing contextual moderators. The knowledge gap narrows when: (1) issues are locally impactful, (2) the topic entails high social conflict, and (3) the community is homogeneous. These qualifiers resonate with the Ugandan context, especially during crises like COVID-19, where financial hardship is both universal and urgent. Business educators, operating in relatively homogeneous academic environments, are uniquely positioned to leverage financial knowledge for improved resilience and wellbeing.\u003c/p\u003e\u003cp\u003eDespite its strengths, KGT has faced critique for overemphasizing knowledge acquisition while neglecting knowledge production. Rakow (\u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e1989\u003c/span\u003e), for instance, argues for a reorientation of the theory to address how individuals actively generate knowledge. This critique is pertinent in the digital era, where content creation and knowledge sharing via blogs, social media, and online teaching platforms (e.g., Zoom, WhatsApp, Teams) are increasingly democratized.\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec4\" class=\"Section2\"\u003e\u003ch2\u003e2.2 The Concept of Frugality\u003c/h2\u003e\u003cp\u003eFrugality is defined as the deliberate and disciplined use of resources, particularly financial, to maximize value and minimize waste. It includes behaviors such as budgeting, prioritizing needs over wants, delaying gratification, and reusing resources (Lastovicka et al., \u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e1999\u003c/span\u003e; Matama et al., \u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e2021\u003c/span\u003e). While often considered a lifestyle or personality trait, frugality can also serve as a coping mechanism during economic hardship, making it both voluntary and situational. Frugal individuals typically save regularly, compare prices, avoid unnecessary debt, and manage resources efficiently, promoting financial security and self-efficacy (Schmidtke et al., \u003cspan citationid=\"CR46\" class=\"CitationRef\"\u003e2020\u003c/span\u003e; Riitsalu \u0026amp; Murakas, \u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e2019\u003c/span\u003e; Hoffmann \u0026amp; Risse, \u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e2020\u003c/span\u003e). Research consistently links frugality to higher financial wellbeing. Frugal behavior enhances life satisfaction and emotional contentment by fostering a sense of financial control, reducing stress, and improving mental health (Soper \u0026amp; Thomas, 2006; Anvari-Clark \u0026amp; Ansong, \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e2022\u003c/span\u003e). Beyond practical skills, frugality reflects values such as patience, self-regulation, and humility, which support sustainable consumption and resilience during economic fluctuations. Economic crises, such as the COVID-19 pandemic, often lead to involuntary frugality, where constrained spending is driven by reduced income, job loss, or rising costs. This behavior commonly involves the \u0026ldquo;Four Rs\u0026rdquo;: reuse, repair, repurpose, and recycle, helping individuals adapt to financial shocks (Goldsmith et al., \u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e2014\u003c/span\u003e). In higher education, frugality carries particular relevance for university business educators. These professionals are assumed to possess high financial literacy and are expected to model prudent financial behavior. Yet, expertise does not always guarantee practice; educators may face similar pressures, lifestyle demands, and socio-cultural expectations as others. Frugality among them is shaped by individual traits like self-control and planning, as well as structural factors such as salary levels, job stability, and access to financial services.\u003c/p\u003e\u003cp\u003eThis study examines whether frugality significantly predicts financial wellbeing among business educators in Uganda. Understanding this relationship sheds light on how financial knowledge translates into personal practice and offers insights into the real-life financial behaviors of those tasked with teaching it, contributing to literature on financial behavior and wellbeing.\u003c/p\u003e\u003cp\u003e\u003cb\u003eH1. There is a significant positive relationship between frugality and financial wellbeing.\u003c/b\u003e\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec5\" class=\"Section2\"\u003e\u003ch2\u003e2.3 The Concept of Financial Resilience\u003c/h2\u003e\u003cp\u003eFinancial resilience refers to an individual\u0026rsquo;s ability to withstand, adapt to, and recover from financial shocks or instability. Originally rooted in ecological systems theory, where resilience described ecosystems\u0026rsquo; recovery from disruption (Holling, \u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e1973\u003c/span\u003e), the concept has evolved to describe human financial behavior under uncertainty (Adger, \u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e2000\u003c/span\u003e; Gunderson, \u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e2009\u003c/span\u003e; Norris, \u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e2010\u003c/span\u003e). Financial resilience is not merely avoiding hardship but reflects the dynamic capacity to \u0026ldquo;bounce back,\u0026rdquo; adjust strategies, and regain stability over time (Norris, \u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e2010\u003c/span\u003e; Salignac et al., \u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e2016\u003c/span\u003e). Resilience depends on the interplay of internal and external resources. Internal resources include personal traits and skills such as financial literacy, problem-solving, optimism, and emotional regulation, which enable effective planning, saving, and risk management. University business educators are expected to possess strong internal capabilities due to their academic training, allowing them to anticipate financial risks and implement strategic responses. External resources include access to financial services, income stability, social networks, institutional support, and community infrastructure (Norris et al., 2010; Salignac et al., \u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e2019\u003c/span\u003e). Social capital, trust, reciprocity, and supportive networks, provides emotional and practical support during financial stress (Putnam et al., \u003cspan citationid=\"CR38\" class=\"CitationRef\"\u003e1992\u003c/span\u003e; Morrow, \u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e2008\u003c/span\u003e). However, economic vulnerability can limit resilience. Factors such as job insecurity, irregular income, limited assets, age, dependents, and systemic issues like inflation or delayed salaries reduce the ability to recover from financial shocks (Blaikie et al., \u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e1994\u003c/span\u003e; Morrow, \u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e2008\u003c/span\u003e). Even financially knowledgeable educators may face constraints in such contexts. Financial resilience is dynamic, shaped over time by experience, behavior, and socio-economic conditions (Cutter et al., \u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e2008\u003c/span\u003e; Donnellan et al., \u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e2009\u003c/span\u003e). Digital tools, online banking, mobile money, and financial information platforms, further enhance adaptive capacity, especially for educators familiar with digital networks.\u003c/p\u003e\u003cp\u003eThis study examines whether Ugandan university business educators demonstrate financial resilience through their internal capacities (e.g., knowledge, self-regulation) and external supports (e.g., institutional affiliation, peer networks) amid economic pressures. Understanding this relationship informs not only individual wellbeing but also institutional policies to support educator welfare and retention in challenging financial environments.\u003c/p\u003e\u003cp\u003e\u003cb\u003eH2. There is a significant positive relationship between financial resilience and financial wellbeing.\u003c/b\u003e\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec6\" class=\"Section2\"\u003e\u003ch2\u003e2.4 The Concept of Financial Wellbeing\u003c/h2\u003e\u003cp\u003eFinancial wellbeing is a multidimensional concept that extends beyond income or access to financial services. It reflects an individual\u0026rsquo;s ability to manage finances confidently, meet current and future obligations, and feel secure and in control of their financial situation (Netemeyer et al., \u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e2018\u003c/span\u003e). Core components include managing day-to-day finances, absorbing financial shocks, staying on track with goals, and having the freedom to make choices that support life satisfaction. Unlike financial inclusion, which emphasizes access to services, financial wellbeing focuses on outcomes and behaviors, how individuals use resources, make decisions, and navigate financial challenges (Kempson \u0026amp; Poppe, \u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e2018\u003c/span\u003e). For business educators, financial wellbeing is especially significant. Personally, it affects quality of life, stress, and long-term security. Professionally, it shapes credibility, as educators are expected to model the financial principles they teach. If educators struggle financially, it raises questions about the practical application of financial literacy in higher education. In Uganda, this concern is acute: only 2% of households are considered financially well-off (NLFS, 2021), highlighting challenges in translating financial access and education into meaningful outcomes. Financial wellbeing is influenced by frugality and financial resilience. Frugality, spending discipline, delayed gratification, and resource reuse, enhances control over finances and reduces unnecessary expenses (Lastovicka et al., \u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e1999\u003c/span\u003e; Schmidtke et al., \u003cspan citationid=\"CR46\" class=\"CitationRef\"\u003e2020\u003c/span\u003e). Financial resilience, the capacity to recover from setbacks, supports long-term wellbeing (Salignac et al., \u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e2019\u003c/span\u003e; Russell et al., \u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e2020\u003c/span\u003e). Social capital, including networks, peer support, and trust, also buffers against financial challenges (Putnam et al., \u003cspan citationid=\"CR38\" class=\"CitationRef\"\u003e1992\u003c/span\u003e; Morrow, \u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e2008\u003c/span\u003e). Psychological factors, such as financial self-efficacy, confidence, and mindset, further shape financial behaviors. Educators who translate financial knowledge into disciplined personal practices, budgeting, saving, and investing, are more likely to experience financial stability and reduced stress (Netemeyer et al., \u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e2018\u003c/span\u003e; Ensel \u0026amp; Lin, \u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e1991\u003c/span\u003e). Understanding how these factors interact among Ugandan business educators provides insight into the link between financial literacy, behavior, and wellbeing, especially in contexts of economic instability.\u003c/p\u003e\u003cp\u003e\u003cb\u003eH3. Frugality and financial resilience have a significant combined effect on financial wellbeing among business educators.\u003c/b\u003e\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec7\" class=\"Section2\"\u003e\u003ch2\u003e2.5 The Digital Knowledge Landscape and the Role of Business Educators\u003c/h2\u003e\u003cp\u003eDigital technologies have transformed how knowledge is created, accessed, and shared. Tools such as video conferencing (Zoom, Teams), learning platforms (Google Classroom, Moodle), and messaging apps (WhatsApp, Telegram) have shifted knowledge exchange from centralized, top-down systems to more participatory models. Andrews (\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2003\u003c/span\u003e) describes this as a \u0026ldquo;many-hands perpetual feedback loop,\u0026rdquo; where users both consume and contribute content. This participatory culture has weakened traditional gatekeepers of financial knowledge, such as banks and formal institutions, while enabling broader access to financial education. Business educators, as both knowledge producers and transmitters, are well positioned to influence their own financial behavior and that of others. Their access to digital tools and academic literacy allows them to share strategies on frugality, financial resilience, and wellbeing, especially during socio-economic disruptions like COVID-19. Ideally, they model financial acumen through teaching, digital content, and public engagement. However, digital participation is not uniform. Wei and Yan (\u003cspan citationid=\"CR52\" class=\"CitationRef\"\u003e2010\u003c/span\u003e) note that online content often mirrors socio-economic divisions: wealthier, more educated users dominate professional discourse, while others focus on entertainment or personal storytelling. This can reproduce knowledge gaps if educators engage selectively, focusing on formal instruction but rarely sharing actionable personal finance practices online. Digital confidence also varies within academic groups. Factors such as age, gender, regional location, and institutional support influence how effectively educators adopt interactive tools like blogs, podcasts, or forums. Senior lecturers may be slower to explore these channels, while younger educators adapt more readily. Professional caution, stemming from image concerns, institutional rules, or conflicts of interest, may further limit the sharing of financial knowledge, reducing the broader impact on community financial resilience.\u003c/p\u003e\u003cp\u003eThis study thus asks: Are Ugandan business educators fully leveraging digital literacy and expertise to enhance their own financial wellbeing and influence students, peers, and communities? Understanding this is crucial in an era where digital tools can reshape how financial behavior is taught, learned, and modelled.\u003c/p\u003e\u003c/div\u003e"},{"header":"3. Methodology","content":"\u003cdiv id=\"Sec9\" class=\"Section2\"\u003e\u003ch2\u003e3.1 Research Design, Population and Sample\u003c/h2\u003e\u003cp\u003eThis study adopted a positivist epistemological stance, aiming to generate objective conclusions based on observable and measurable data. In alignment with the study's aim of examining frugality, financial resilience, and financial wellbeing among academic staff, a cross-sectional and quantitative research design was employed. The cross-sectional approach was chosen due to its strength in capturing data at a single point in time, facilitating the identification of relationships and trends without the influence of temporal fluctuations. The unit of analysis was the individual university business educator, while the unit of inquiry was also the individual staff member, reflecting the study\u0026rsquo;s individual-level focus on personal financial attitudes and behaviors.\u003c/p\u003e\u003cp\u003eThe population consisted of 743 academic staff members from Makerere University Business School (MUBS), the oldest and most prominent business school in Uganda, affiliated with Makerere University. This specific population was selected due to their relevant engagement with the constructs under study\u0026mdash;particularly financial decision-making and sustainability in a professional academic context. Based on Krejcie and Morgan\u0026rsquo;s (1970) sample size determination table, a sample size of 252 was deemed appropriate. The sample encompassed academic staff across all levels, ranging from Teaching Assistants to Professors. Participants were selected using simple random sampling, ensuring each eligible staff member had an equal probability of selection. This sampling method enhanced the representativeness and generalisability of the findings across the academic community.\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec10\" class=\"Section2\"\u003e\u003ch2\u003e3.2 Demographic Characteristics\u003c/h2\u003e\u003cp\u003eThe study achieved a response rate of 87.7%, with 221 out of 252 academic staff completing the survey instrument. This high response rate reflects robust engagement and enhances the reliability of the findings. The demographic distribution of the respondents is presented in the tables below:\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 1\u003c/div\u003e\u003cdiv class=\"CaptionContent\"\u003e\u003cp\u003eGender Distribution of Respondents\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\u003eGender\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u003cp\u003eFrequency\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u003cp\u003eValid (%)\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e\u003cp\u003eCumulative (%)\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eMale\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e134\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e60.6\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e60.6\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eFemale\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e87\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e39.4\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e100.0\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eTotal\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e\u003cb\u003e221\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e\u003cb\u003e100.0\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/colgroup\u003e\u003c/table\u003e\u003c/div\u003e\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 2\u003c/div\u003e\u003cdiv class=\"CaptionContent\"\u003e\u003cp\u003eAge Distribution of Respondents\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\u003eAge Group\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u003cp\u003eFrequency\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u003cp\u003eValid (%)\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e\u003cp\u003eCumulative (%)\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e20\u0026ndash;25\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e30\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e13.6\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e13.6\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e26\u0026ndash;30\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e51\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e23.1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e36.7\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e31\u0026ndash;35\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e39\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e17.6\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e54.3\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e36\u0026ndash;40\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e42\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e19.0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e73.3\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e41\u0026ndash;45\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e30\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e13.6\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e86.9\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e46\u0026ndash;50\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e16\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e7.2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e94.1\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e51\u0026ndash;55\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e7\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e3.2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e97.3\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e56\u0026ndash;60\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e4\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e1.8\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e99.1\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e61\u0026ndash;65\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0.5\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e99.5\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e66+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0.5\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e100.0\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eTotal\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e\u003cb\u003e221\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e\u003cb\u003e100.0\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/colgroup\u003e\u003c/table\u003e\u003c/div\u003e\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 3\u003c/div\u003e\u003cdiv class=\"CaptionContent\"\u003e\u003cp\u003eEducational Qualification of Respondents\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\u003eEducation Level\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u003cp\u003eFrequency\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u003cp\u003eValid (%)\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e\u003cp\u003eCumulative (%)\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eBachelor's Degree\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e65\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e29.4\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e29.4\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eMaster\u0026rsquo;s Degree\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e112\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e50.7\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e80.1\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eDoctor of Philosophy (Ph.D.)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e43\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e19.5\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e99.5\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eProfessional Qualification (CPA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0.5\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e100.0\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eTotal\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e\u003cb\u003e221\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e\u003cb\u003e100.0\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/colgroup\u003e\u003c/table\u003e\u003c/div\u003e\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 4\u003c/div\u003e\u003cdiv class=\"CaptionContent\"\u003e\u003cp\u003eMarital Status of Respondents\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\u003eMarital Status\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u003cp\u003eFrequency\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u003cp\u003eValid (%)\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e\u003cp\u003eCumulative (%)\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eMarried\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e145\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e65.6\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e65.6\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eSingle\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e76\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e34.4\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e100.0\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eTotal\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e\u003cb\u003e221\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e\u003cb\u003e100.0\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/colgroup\u003e\u003c/table\u003e\u003c/div\u003e\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 5\u003c/div\u003e\u003cdiv class=\"CaptionContent\"\u003e\u003cp\u003eAcademic Ranks of Respondents\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\u003eAcademic Rank\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u003cp\u003eFrequency\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u003cp\u003eValid (%)\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e\u003cp\u003eCumulative (%)\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eTeaching Assistant\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e82\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e37.1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e37.1\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eAssistant Lecturer\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e29\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e13.1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e50.2\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eLecturer\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e89\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e40.3\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e90.5\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eSenior Lecturer\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e14\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e6.3\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e96.8\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eAssociate Professor\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e2\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\u003e97.7\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eProfessor\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e5\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e2.3\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e100.0\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eTotal\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e\u003cb\u003e221\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e\u003cb\u003e100.0\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/colgroup\u003e\u003c/table\u003e\u003c/div\u003e\u003c/p\u003e\u003cp\u003e\u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab6\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e\u003cdiv class=\"CaptionNumber\"\u003eTable 6\u003c/div\u003e\u003cdiv class=\"CaptionContent\"\u003e\u003cp\u003eEmployment Status of Respondents\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\u003eEmployment Type\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u003cp\u003eFrequency\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u003cp\u003eValid (%)\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e\u003cp\u003eCumulative (%)\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eContract Basis\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e115\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e52.0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e52.0\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003ePermanent Basis\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e106\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e48.0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e100.0\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eTotal\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e\u003cb\u003e221\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e\u003cb\u003e100.0\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/colgroup\u003e\u003c/table\u003e\u003c/div\u003e\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec11\" class=\"Section2\"\u003e\u003ch2\u003e3.3 Questionnaire and Variables Measurement\u003c/h2\u003e\u003cp\u003eThe study employed a structured, self-administered questionnaire featuring closed-ended items on a six-point Likert scale, adapted from Spector (1992) to ensure clarity and minimize neutrality in responses. The scale ranged from 1 (Strongly Disagree) to 6 (Strongly Agree), fostering clarity and precision in participant responses. This approach was selected for its efficiency in reaching a geographically dispersed sample and for yielding quantifiable data amenable to statistical analysis.\u003c/p\u003e\u003cp\u003eThree key constructs were measured in this study. Frugality was defined and measured based on the frameworks proposed by Lastovicka et al. (\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e1999\u003c/span\u003e) and Matama (2017), and was operationalized through three distinct dimensions: \u003cem\u003espending discipline\u003c/em\u003e, \u003cem\u003eresource re-use\u003c/em\u003e, and \u003cem\u003edelayed gratification\u003c/em\u003e. Financial resilience, conceptualized as the capacity to recover from financial shocks, was adapted from the work of Salignac et al. (\u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e2019\u003c/span\u003e). This construct was assessed through four domains: \u003cem\u003eeconomic resources\u003c/em\u003e, \u003cem\u003efinancial knowledge and behavior\u003c/em\u003e, and \u003cem\u003esocial capital\u003c/em\u003e. Consistent with Putnam et al. (1999), the social capital dimension was further strengthened by incorporating indicators such as \u003cem\u003ereciprocity\u003c/em\u003e, \u003cem\u003etrust\u003c/em\u003e, and \u003cem\u003ehonesty\u003c/em\u003e. Lastly, financial wellbeing, which served as the dependent variable, was derived from the model developed by Netemeyer et al. (\u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e2018\u003c/span\u003e) and contextualized to fit the Ugandan academic setting. It was measured across four dimensions: \u003cem\u003epeace of mind\u003c/em\u003e, \u003cem\u003eability to meet financial obligations\u003c/em\u003e, \u003cem\u003eachievement of financial goals\u003c/em\u003e, and \u003cem\u003efinancial security\u003c/em\u003e. The development of the questionnaire involved rigorous expert review to ensure both face and content validity, ensuring that the items were contextually relevant and aligned with the realities of the Ugandan academic environment.\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec12\" class=\"Section2\"\u003e\u003ch2\u003e3.4 Control Variables\u003c/h2\u003e\u003cp\u003eTo mitigate confounding effects and improve the robustness of model estimations, employment status (contract vs. permanent) and academic rank were treated as control variables. These firmographic characteristics are considered influential in shaping an academic staff member\u0026rsquo;s access to financial resources and long-term financial planning.\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec13\" class=\"Section2\"\u003e\u003ch2\u003e3.5 Validity and Reliability\u003c/h2\u003e\u003cp\u003eTo ensure instrument accuracy, content validity was assessed using expert evaluations from academia and policy practitioners in finance and education. Each item was rated on a six-point scale, and a Content Validity Index (CVI) exceeding the threshold of 0.7 was achieved, in line with Field (2009). Additionally, Cronbach\u0026rsquo;s alpha values were calculated to assess internal consistency. All constructs exceeded the acceptable reliability coefficient of 0.7, as recommended by Nunnally (1978), thereby confirming the instrument\u0026rsquo;s reliability.\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec14\" class=\"Section2\"\u003e\u003ch2\u003e3.6 Data Analysis\u003c/h2\u003e\u003cp\u003eData analysis was conducted using SPSS Version 23 for initial data cleaning, including handling missing data (less than 5%) using linear interpolation, and verification through cross-tabulations. Subsequently, SmartPLS Version 3 was employed for Partial Least Squares Structural Equation Modelling (PLS-SEM). This method was chosen for its ability to handle complex models and its flexibility with non-normal data, as recommended by Hair et al. (2017).\u003c/p\u003e\u003cp\u003eThe PLS-SEM approach involved analysis of both the measurement model\u0026mdash;to assess construct reliability and validity\u0026mdash;and the structural model\u0026mdash;to evaluate hypothesized relationships among constructs. The selection of SmartPLS was also justified due to its suitability for the sample size of 221, its robustness in handling latent variables, and its proven effectiveness in exploratory research contexts (Henseler et al., 2014; Fornell \u0026amp; Bookstein, 1982).\u003c/p\u003e\u003c/div\u003e"},{"header":"4. Results","content":"\u003cdiv id=\"Sec16\" class=\"Section2\"\u003e\u003ch2\u003e4.1. Factor Analysis \u0026ndash; Frugality and Financial Well-Being\u003c/h2\u003e\u003cp\u003eTo examine the construct validity of the measurement items used for frugality and financial well-being, exploratory factor analysis was conducted, following the established procedures outlined by Field (2009) and Hair et al. (2017). The Kaiser-Meyer-Olkin (KMO) measure of sample adequacy and Bartlett\u0026rsquo;s Test of Sphericity were used to evaluate the appropriateness of the data for factor analysis. The results yielded KMO values greater than 0.7 and statistically significant Bartlett\u0026rsquo;s test outcomes (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05), confirming the data's suitability for principal component analysis with Varimax rotation. Consistent with the criteria established by Kaiser (1974) and Field (2009), only factors with eigenvalues greater than 1.0 were retained.\u003c/p\u003e\u003cdiv id=\"Sec17\" class=\"Section3\"\u003e\u003ch2\u003e4.1.1. Frugality\u003c/h2\u003e\u003cp\u003eFactor analysis performed on the frugality construct extracted 13 components, collectively accounting for a significant portion of the total variance. The retained components\u0026mdash;Spend Thrift, Minimal Resource Usage, Effective Food Management, Necessity Spending, Economic Purchasing, Self-Work to Replace External Party, Exploring Resource Re-usability, Effective Family Spending, Effective Resource Use, Deliberate Economic Spending, Expenditure Planning, Awareness of Personal Expenses, and Healthy Living\u0026mdash;reflect the multidimensional nature of frugality. These factors align with prior work emphasizing behavioral patterns linked to resource-consciousness (Hair et al., 2017). All retained components demonstrated satisfactory factor loadings above the recommended threshold of 0.4, thereby confirming the convergent validity of the scale items. The cumulative variance explained by the extracted factors supports the structural integrity and discriminant validity of the frugality construct.\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec18\" class=\"Section3\"\u003e\u003ch2\u003e4.1.2. Financial Well-Being\u003c/h2\u003e\u003cp\u003eA similar factor analysis was conducted on the financial well-being construct. Four distinct components were retained: Financial Security, Enhanced Savings Levels, Good Standards of Living, and Effective Management of Personal Finances. These factors jointly explained a cumulative variance that aligned with recommended benchmarks (Field, 2009). Each factor had acceptable item loadings above the 0.4 threshold (Hair et al., 2017), as confirmed in the appendix. The factor structure highlights both subjective and objective indicators of financial well-being among academic staff, thus substantiating the discriminant validity of the measurement items used.\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec19\" class=\"Section3\"\u003e\u003ch2\u003e4.1.3 Financial Resilience of Academic Staff in Public Universities\u003c/h2\u003e\u003cp\u003eIn evaluating the financial resilience of academic staff, four core dimensions were analyzed: economic resources, financial resources, financial knowledge and behavior, and social capital. The results are summarized in Tables\u0026nbsp;4.4.1 to 4.1.4.\u003c/p\u003e\u003cp\u003e\u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab7\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e\u003cdiv class=\"CaptionNumber\"\u003eTable \u003cspan refid=\"Tab10\" class=\"InternalRef\"\u003e4.1\u003c/span\u003e.1\u003c/div\u003e\u003cdiv class=\"CaptionContent\"\u003e\u003cp\u003eEconomic Resources of Academic Staff\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=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e\u003cp\u003eComponent\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. Dev\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e\u003cp\u003eInterpretation\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eSavings\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e3.24\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e1.44\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eIndicates limited to moderate levels of savings among staff.\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eDebt Management\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e3.67\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e1.19\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eMost staff are managing their debts well or paying them off comfortably.\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eAbility to raise UGX 1,000,000\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e3.47\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e1.46\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eOn average, staff could raise emergency funds, though not all are confident.\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eAbility to meet living expenses\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e3.39\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e1.16\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eStaff can meet their expenses fairly well, though some experience difficulty.\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eAverage Score\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e\u003cb\u003e3.44\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e\u003cb\u003e1.31\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eSuggests average to slightly above average ability in managing economic needs.\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/colgroup\u003e\u003ctfoot\u003e\u003ctr\u003e\u003ctd colspan=\"4\"\u003e\u003cb\u003eSource: Primary Data\u003c/b\u003e\u003c/td\u003e\u003c/tr\u003e\u003c/tfoot\u003e\u003c/table\u003e\u003c/div\u003e\u003c/p\u003e\u003cp\u003e\u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab8\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e\u003cdiv class=\"CaptionNumber\"\u003eTable \u003cspan refid=\"Tab10\" class=\"InternalRef\"\u003e4.1\u003c/span\u003e.2\u003c/div\u003e\u003cdiv class=\"CaptionContent\"\u003e\u003cp\u003eFinancial Resources Access and Usage\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=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e\u003cp\u003eComponent\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. Dev\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e\u003cp\u003eInterpretation\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eBank Account Usage\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e2.73\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e1.34\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eMost staff use their bank accounts primarily for withdrawals, less for savings.\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eAccess to Credit\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e3.24\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e1.37\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eAccess to informal credit is more common than formal institutional loans.\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eUnmet Credit Demand\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e3.19\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e1.36\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eModerate unmet demand for credit services exists among staff.\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eAccess to Insurance\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e2.91\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e1.47\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eMany lack insurance coverage, though a few staff are moderately insured.\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eAverage Score\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e\u003cb\u003e3.02\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e\u003cb\u003e1.39\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eReflects average access and utilization of financial products and services.\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/colgroup\u003e\u003ctfoot\u003e\u003ctr\u003e\u003ctd colspan=\"4\"\u003e\u003cb\u003eSource: Primary Data\u003c/b\u003e\u003c/td\u003e\u003c/tr\u003e\u003c/tfoot\u003e\u003c/table\u003e\u003c/div\u003e\u003c/p\u003e\u003cp\u003e\u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab9\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e\u003cdiv class=\"CaptionNumber\"\u003eTable \u003cspan refid=\"Tab10\" class=\"InternalRef\"\u003e4.1\u003c/span\u003e.3\u003c/div\u003e\u003cdiv class=\"CaptionContent\"\u003e\u003cp\u003eFinancial Knowledge and Behavior\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=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e\u003cp\u003eComponent\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. Dev\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e\u003cp\u003eInterpretation\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eFinancial Knowledge\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e3.51\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e1.21\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eStaff have basic to good understanding of financial products and services.\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eConfidence in Fin. Services\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\u003e1.22\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eMost staff have reasonable confidence in using financial institutions.\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eAdvice on Finances\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e3.81\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e1.16\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eMajority would consider seeking financial advice or services.\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eSolidarity\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e3.55\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e1.18\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eStaff demonstrate moderate levels of collective support and group spirit.\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eProactive Financial Action\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e3.67\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e1.08\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eSome staff take proactive financial actions, like planning and budgeting.\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eAverage Score\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e\u003cb\u003e3.65\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e\u003cb\u003e1.17\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eIndicates average to good financial behavior and understanding.\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/colgroup\u003e\u003ctfoot\u003e\u003ctr\u003e\u003ctd colspan=\"4\"\u003e\u003cb\u003eSource: Primary Data\u003c/b\u003e\u003c/td\u003e\u003c/tr\u003e\u003c/tfoot\u003e\u003c/table\u003e\u003c/div\u003e\u003c/p\u003e\u003cp\u003e\u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab10\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e\u003cdiv class=\"CaptionNumber\"\u003eTable \u003cspan refid=\"Tab10\" class=\"InternalRef\"\u003e4.1\u003c/span\u003e.4\u003c/div\u003e\u003cdiv class=\"CaptionContent\"\u003e\u003cp\u003eSocial Capital Among Staff\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=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e\u003cp\u003eComponent\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. Dev\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e\u003cp\u003eInterpretation\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eSocial Networks\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e3.87\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0.93\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eStaff generally have strong and supportive social connections.\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eTrustworthiness in Networks\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e3.57\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e1.40\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eTrust levels in social networks range from moderate to low in some instances.\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eAverage Score\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e\u003cb\u003e3.72\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e\u003cb\u003e1.17\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eSuggests an average level of social capital among academic staff.\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/colgroup\u003e\u003ctfoot\u003e\u003ctr\u003e\u003ctd colspan=\"4\"\u003e\u003cb\u003eSource: Primary Data\u003c/b\u003e\u003c/td\u003e\u003c/tr\u003e\u003c/tfoot\u003e\u003c/table\u003e\u003c/div\u003e\u003c/p\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv id=\"Sec20\" class=\"Section2\"\u003e\u003ch2\u003e4.2. Correlation Analysis\u003c/h2\u003e\u003cp\u003eA correlation analysis was conducted using IBM SPSS to explore the relationships among Frugality, Financial Resilience, and Financial Wellbeing of academic staff members at a public university in Uganda. This analysis aimed to determine whether and how these three variables are connected. The Pearson correlation coefficient (r) was used to measure the strength and direction of the relationship between each pair of variables. The value of r ranges from \u0026minus;\u0026thinsp;1 to +\u0026thinsp;1. A value close to +\u0026thinsp;1 indicates a strong positive relationship (both variables increase together), while a value close to -1 shows a strong negative relationship (one increases while the other decreases). A value near 0 means there is no meaningful relationship between the two. The results are summarized in the table below. All correlations were statistically significant at the 0.01 level (2-tailed), which means we can be 99% confident that these relationships are not due to chance. The findings reveal a strong positive correlation between Frugality and Financial Wellbeing (r\u0026thinsp;=\u0026thinsp;.612, p\u0026thinsp;\u0026lt;\u0026thinsp;0.01), indicating that academic staff members who display more frugal behaviors tend to experience better financial wellbeing. In other words, people who manage resources carefully, avoid unnecessary spending, and plan their expenditures well are more likely to feel financially secure and stable. There is also a moderate positive correlation between Financial Resilience and Financial Wellbeing (r\u0026thinsp;=\u0026thinsp;.392, p\u0026thinsp;\u0026lt;\u0026thinsp;0.01). This suggests that academic staff who are able to bounce back from financial setbacks and manage financial stress also tend to enjoy a higher level of financial wellbeing. Additionally, Frugality and Financial Resilience are positively related as well, with a correlation coefficient of r\u0026thinsp;=\u0026thinsp;.287 (p\u0026thinsp;\u0026lt;\u0026thinsp;0.01). This means that individuals who are more frugal also tend to be more financially resilient, though this relationship is weaker compared to the others. The Pearson correlation coefficients are presented in Table\u0026nbsp;\u003cspan refid=\"Tab11\" class=\"InternalRef\"\u003e4.2\u003c/span\u003e.\u003c/p\u003e\u003cp\u003e\u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab11\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e\u003cdiv class=\"CaptionNumber\"\u003eTable 4.2\u003c/div\u003e\u003cdiv class=\"CaptionContent\"\u003e\u003cp\u003ePearson Correlation Matrix\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=\"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=\"char\" char=\".\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e\u003cp\u003eVariable\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u003cp\u003e1\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u003cp\u003e2\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e\u003cp\u003e3\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eFrugality (1)\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\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eFinancial Resilience (2)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e.287**\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\u0026nbsp;\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eFinancial Wellbeing (3)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e.612**\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e.392**\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/colgroup\u003e\u003ctfoot\u003e\u003ctr\u003e\u003ctd colspan=\"4\"\u003e\u003cb\u003eNote: Correlation is significant at the 0.01 level (2-tailed). Source: Primary Data\u003c/b\u003e\u003c/td\u003e\u003c/tr\u003e\u003c/tfoot\u003e\u003c/table\u003e\u003c/div\u003e\u003c/p\u003e\u003cp\u003eThe results show a strong positive correlation between frugality and financial wellbeing (r\u0026thinsp;=\u0026thinsp;.612, p\u0026thinsp;\u0026lt;\u0026thinsp;0.01), and a moderate positive relationship between financial resilience and financial wellbeing (r\u0026thinsp;=\u0026thinsp;.392, p\u0026thinsp;\u0026lt;\u0026thinsp;0.01). A weaker but significant correlation was observed between frugality and financial resilience (r\u0026thinsp;=\u0026thinsp;.287, p\u0026thinsp;\u0026lt;\u0026thinsp;0.01), indicating that resource-conscious individuals tend to be more financially resilient.\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec21\" class=\"Section2\"\u003e\u003ch2\u003e4.3. Regression Analysis\u003c/h2\u003e\u003cp\u003eA multiple regression analysis was conducted using SPSS to examine the extent to which frugality and financial resilience predict the financial wellbeing of academic staff in public universities in Uganda. The objective was to determine the proportion of variance in financial wellbeing explained by these two predictors.\u003c/p\u003e\u003cp\u003eAs presented in Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e, the regression model yielded an R value of .653, indicating a strong positive correlation between the independent variables (frugality and financial resilience) and financial wellbeing. The R Square value of .426 shows that approximately 42.6% of the variance in financial wellbeing is jointly explained by frugality and financial resilience. The Adjusted R Square of .421 suggests minimal shrinkage, confirming the model\u0026rsquo;s stability and generalizability to the wider academic staff population. This implies that while frugality and resilience are strong predictors, other unexamined factors may also influence financial wellbeing.\u003c/p\u003e\u003cp\u003eThe model was statistically significant, F(2, 218)\u0026thinsp;=\u0026thinsp;80.985, p\u0026thinsp;\u0026lt;\u0026thinsp;.001, confirming that the combined effect of frugality and financial resilience significantly predicts financial wellbeing. This strong model fit demonstrates that the inclusion of these two predictors contributes meaningfully to explaining variations in financial wellbeing among the respondents.\u003c/p\u003e\u003cp\u003eBoth predictors exhibited positive and statistically significant effects on financial wellbeing. The standardized Beta coefficient for frugality (β\u0026thinsp;=\u0026thinsp;.545, p\u0026thinsp;\u0026lt;\u0026thinsp;.001) indicates that higher levels of frugality are strongly associated with improved financial wellbeing. Similarly, the standardized Beta coefficient for financial resilience (β\u0026thinsp;=\u0026thinsp;.236, p\u0026thinsp;\u0026lt;\u0026thinsp;.001) shows that individuals with greater financial resilience also tend to experience higher financial wellbeing, though the effect is comparatively smaller. These results suggest that frugality exerts a stronger influence on financial wellbeing than financial resilience.\u003c/p\u003e\u003cp\u003eOverall, the regression model demonstrates that frugality and financial resilience together explain 42.1% of the variance in financial wellbeing (Adjusted R\u0026sup2; = .421). This indicates that while both constructs are important determinants of financial wellbeing, other contextual and personal factors, such as income levels, financial literacy, job security, and institutional support, may also play complementary roles.\u003c/p\u003e\u003cp\u003e\u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab12\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e\u003cdiv class=\"CaptionNumber\"\u003eTable \u003cspan refid=\"Tab12\" class=\"InternalRef\"\u003e4.3\u003c/span\u003e.1\u003c/div\u003e\u003cdiv class=\"CaptionContent\"\u003e\u003cp\u003eRegression Analysis\u003c/p\u003e\u003c/div\u003e\u003c/caption\u003e\u003ccolgroup cols=\"10\"\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\u003cdiv align=\"left\" class=\"colspec\" colname=\"c9\" colnum=\"9\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c10\" colnum=\"10\"\u003e\u003c/div\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e\u003cp\u003eModel\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u003cp\u003eUnstandardized Coefficients (B)\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colspan=\"2\" nameend=\"c5\" namest=\"c4\"\u003e\u003cp\u003eStd. Error\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colspan=\"2\" nameend=\"c7\" namest=\"c6\"\u003e\u003cp\u003eStandardized Coefficients (Beta)\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colspan=\"2\" nameend=\"c9\" namest=\"c8\"\u003e\u003cp\u003et\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c10\"\u003e\u003cp\u003eSig.\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e\u003cp\u003e(Constant)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e.894\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c5\" namest=\"c4\"\u003e\u003cp\u003e.202\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c7\" namest=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c9\" namest=\"c8\"\u003e\u003cp\u003e4.420\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003e.000\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e\u003cp\u003eFrugality\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e.579\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c5\" namest=\"c4\"\u003e\u003cp\u003e.057\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c7\" namest=\"c6\"\u003e\u003cp\u003e.545\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c9\" namest=\"c8\"\u003e\u003cp\u003e10.176\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003e.000\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e\u003cp\u003eFinancial Resilience\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e.156\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c5\" namest=\"c4\"\u003e\u003cp\u003e.035\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c7\" namest=\"c6\"\u003e\u003cp\u003e.236\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c9\" namest=\"c8\"\u003e\u003cp\u003e4.408\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003e.000\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colspan=\"10\" nameend=\"c10\" namest=\"c1\"\u003e\u003cp\u003e\u003cb\u003ea. Dependent Variable\u003c/b\u003e: Financial Wellbeing\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eModel\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e\u003cb\u003eR\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e\u003cb\u003eR Square\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cb\u003eAdjusted R Square\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e\u003cp\u003e\u003cb\u003eStd. Error of the Estimate\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"4\" nameend=\"c10\" namest=\"c7\"\u003e\u003cp\u003e\u003cb\u003eChange Statistics\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e\u003cp\u003e1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\" morerows=\"1\" rowspan=\"2\"\u003e\u003cp\u003e.653\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\" morerows=\"1\" rowspan=\"2\"\u003e\u003cp\u003e.426\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\" morerows=\"1\" rowspan=\"2\"\u003e\u003cp\u003e.421\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" morerows=\"1\" nameend=\"c6\" namest=\"c5\" rowspan=\"2\"\u003e\u003cp\u003e.40086\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c8\" namest=\"c7\"\u003e\u003cp\u003e\u003cb\u003eR Square Change\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c10\" namest=\"c9\"\u003e\u003cp\u003e\u003cb\u003eF Change\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c8\" namest=\"c7\"\u003e\u003cp\u003e0.426\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c10\" namest=\"c9\"\u003e\u003cp\u003e80.985\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/colgroup\u003e\u003ctfoot\u003e\u003ctr\u003e\u003ctd colspan=\"10\"\u003e\u003cb\u003ea. Predictors\u003c/b\u003e: (Constant), Financial Resilience, Frugality\u003c/td\u003e\u003c/tr\u003e\u003c/tfoot\u003e\u003c/table\u003e\u003c/div\u003e\u003c/p\u003e\u003cp\u003e\u003cb\u003eSource: Primary Data\u003c/b\u003e\u003c/p\u003e\u003c/div\u003e"},{"header":"5. Discussion","content":"\u003cp\u003eThe findings in Table X confirm a statistically significant and strong positive relationship between frugality and financial wellbeing among academic staff in Ugandan public universities, supporting H1. The correlation coefficient (r\u0026thinsp;=\u0026thinsp;.612, p\u0026thinsp;\u0026lt;\u0026thinsp;.01) and standardized regression coefficient (β\u0026thinsp;=\u0026thinsp;.545, p\u0026thinsp;\u0026lt;\u0026thinsp;.001) indicate that frugality is a major determinant of financial wellbeing. Individuals demonstrating higher frugality, through disciplined spending, consistent saving, and debt avoidance, report greater financial stability. This aligns with Netemeyer et al. (\u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e2018\u003c/span\u003e) and Anvari-Clark and Ansong (\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e2022\u003c/span\u003e), who highlight frugality\u0026rsquo;s protective role in long-term financial wellness. In Uganda\u0026rsquo;s resource-constrained context, where academic staff often face limited or delayed income, frugality functions not just as a lifestyle but as a survival mechanism. This supports Lastovicka et al.\u0026rsquo;s (\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e1999\u003c/span\u003e) view of frugality as both a personal trait and a coping strategy.\u003c/p\u003e\u003cp\u003eDrawing from dynamic capability theory (Barney, \u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e1991\u003c/span\u003e; Teece et al., 1997), frugality can be conceptualized as a behavioral resource enhancing individuals\u0026rsquo; adaptive financial capacity. Staff who practice frugality reconfigure spending and saving routines to respond to financial uncertainty, promoting resilience and long-term stability. Such behaviors reflect micro-level capability building that improves personal financial outcomes. Institutionally, these findings suggest that embedding frugality-promoting initiatives, such as savings workshops, budgeting seminars, and expenditure management programs, within staff development could enhance financial wellbeing, job satisfaction, and productivity by reducing financial stress.\u003c/p\u003e\u003cp\u003eThe study also reveals a statistically significant positive relationship between financial resilience and financial wellbeing (r\u0026thinsp;=\u0026thinsp;.392, p\u0026thinsp;\u0026lt;\u0026thinsp;.01), supporting H2. Regression analysis (β\u0026thinsp;=\u0026thinsp;.236, p\u0026thinsp;\u0026lt;\u0026thinsp;.001) indicates that while resilience contributes meaningfully to financial wellbeing, its influence is weaker than frugality\u0026rsquo;s. Financial resilience, measured through access to savings, debt management, credit, insurance, and social capital, aligns with Norris et al.\u0026rsquo;s (2010) multidimensional model of resilience encompassing internal and external resources. These results echo Kempson et al. (2018), who note that resilience buffers individuals from financial shocks, particularly in volatile economies like Uganda\u0026rsquo;s.\u003c/p\u003e\u003cp\u003eThe moderate correlation between resilience and wellbeing underscores adaptability\u0026rsquo;s importance in financial behavior. In line with dynamic capability theory (Teece et al., 1997), resilience allows individuals to absorb shocks and reposition themselves financially, similar to how firms adapt to environmental changes. Among academic staff, this may involve leveraging social networks, diversifying income sources, or utilizing institutional welfare mechanisms. Consequently, financial wellness programs should extend beyond education to include resilience-building components, emergency fund strategies, debt management, and digital financial literacy. Institutions should also enhance access to cooperative loans, micro-insurance, and employee welfare funds as financial safety nets.\u003c/p\u003e\u003cp\u003eThe joint effect of frugality and resilience on financial wellbeing is substantial, explaining 42.1% of its variance (Adjusted R\u0026sup2; = .421), thus supporting H3. The regression model (F\u0026thinsp;=\u0026thinsp;80.985, p\u0026thinsp;\u0026lt;\u0026thinsp;.001) confirms that these two constructs jointly offer a strong explanatory framework for financial wellbeing among academic staff. Although frugality is the stronger predictor, its moderate correlation with resilience (r\u0026thinsp;=\u0026thinsp;.287, p\u0026thinsp;\u0026lt;\u0026thinsp;.01) suggests a mutually reinforcing relationship. This aligns with Schmidtke et al. (\u003cspan citationid=\"CR46\" class=\"CitationRef\"\u003e2020\u003c/span\u003e), who argue that disciplined spenders are better positioned to develop resilience. The combined effect appears synergistic, where both behaviors strengthen each other over time.\u003c/p\u003e\u003cp\u003eThese results extend dynamic capability theory by showing how individuals employ behavioral (frugality) and adaptive (resilience) strategies to maintain financial equilibrium. The ability to plan proactively while recovering from financial disruptions represents a dual-pathway model of financial capability. Institutional implications are clear: financial wellbeing initiatives should integrate both proactive habits (budgeting, saving) and contingency planning (emergency funds, credit access). Training should link frugality and resilience rather than treating them separately, for instance, combining expense tracking with coping strategies for salary delays or economic shocks.\u003c/p\u003e"},{"header":"6. Conclusion, Limitations and Future Research","content":"\u003cp\u003eThis study set out to examine the influence of frugality and financial resilience on the financial wellbeing of academic staff in public universities in Uganda. Specifically, it aimed to: (i) investigate the relationship between frugality and financial wellbeing, (ii) assess the relationship between financial resilience and financial wellbeing, and (iii) evaluate the combined effect of frugality and financial resilience on financial wellbeing. These objectives were addressed through quantitative analyses of data collected from academic staff across selected public universities in Uganda.\u003c/p\u003e\u003cp\u003eThe study\u0026rsquo;s findings confirm that both frugality and financial resilience significantly and positively impact financial wellbeing, with frugality emerging as the strongest predictor. Academic staff who adopt frugal behaviors\u0026mdash;such as deliberate spending, consistent saving, and avoidance of unnecessary debt\u0026mdash;tend to experience higher levels of financial stability and control. Financial resilience, while less potent than frugality, also plays a crucial role by equipping individuals with the capacity to manage financial shocks and recover from unexpected setbacks. The combined predictive power of these two factors explains a substantial 42.1% of the variance in financial wellbeing, offering a robust framework for understanding financial outcomes within this population.\u003c/p\u003e\u003cp\u003eThese findings contribute meaningfully to the broader theoretical discourse on personal finance and behavioral economics, underscoring the importance of adaptive and proactive financial behaviors. In line with the dynamic capability theory (Barney, \u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e1991\u003c/span\u003e; Teece et al., 1997), the study highlights frugality and financial resilience as personal capabilities that enhance financial adaptability and control, particularly in the context of limited or unstable income common within Uganda\u0026rsquo;s public university system.\u003c/p\u003e\u003cp\u003eFrom a practical standpoint, this research offers actionable insights for university administrators, financial institutions, and policymakers. Promoting frugal financial behavior through training and peer engagement initiatives, and strengthening resilience through savings schemes, insurance access, and social support systems, can jointly foster more financially secure and resilient academic staff. Furthermore, these findings underscore the value of integrating comprehensive financial education within staff development programs and revisiting institutional salary and incentive structures to reduce vulnerability and enhance wellbeing.\u003c/p\u003e\u003cp\u003eThe implications of this research also extend to national policy frameworks aimed at improving the welfare of public servants and promoting financial inclusion. By identifying frugality and resilience as key levers of financial wellbeing, this study provides a useful evidence base for developing targeted interventions that support financial stability among knowledge workers in developing economies.\u003c/p\u003e\u003cp\u003eDespite these contributions, several limitations must be acknowledged. The study\u0026rsquo;s reliance on self-reported data introduces the possibility of social desirability bias, potentially affecting the accuracy of responses. Its cross-sectional design limits causal inferences, and the exclusive focus on academic staff in public universities restricts the generalisability of findings across other institutional or professional contexts. Additionally, the use of purely quantitative methods may have constrained the exploration of deeper, subjective experiences related to financial behavior.\u003c/p\u003e\u003cp\u003eTo address these limitations and further advance knowledge in this area, future research should adopt broader, more inclusive, and mixed-methods approaches. Incorporating qualitative techniques such as interviews or focus group discussions could offer richer insights into the motivations, constraints, and values shaping frugality and resilience. Longitudinal studies would also be valuable in examining how these traits evolve over time and influence long-term financial wellbeing.\u003c/p\u003e\u003cp\u003eMoreover, future investigations should consider the role of additional variables\u0026mdash;such as financial literacy, income levels, access to credit, household responsibilities, and psychological traits like self-efficacy or financial anxiety\u0026mdash;in shaping financial wellbeing. Comparative studies between public and private institutions, as well as between rural and urban universities, could also illuminate contextual variations and institutional influences.\u003c/p\u003e\u003cp\u003eCultural and demographic factors\u0026mdash;such as age, gender, and traditional financial practices, deserve further exploration to better tailor financial education and support interventions. Finally, future research could evaluate the effectiveness of specific financial education programs or policy initiatives in enhancing frugality, resilience, and overall financial wellbeing among academic staff and beyond. In summary, this study offers a foundational understanding of how frugality and financial resilience collectively influence the financial wellbeing of academic staff in Ugandan public universities. While the findings are subject to certain limitations, they open multiple avenues for further scholarly inquiry and practical application. Promoting financial prudence and adaptive capacity among university employees holds promise not only for individual wellbeing but also for institutional performance and national development.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003eEthics Approval Statement This study was reviewed and approved by the Makerere University Business School Research Ethics Committee (MUBS-REC), reference number MUBS-REC/2023/041. Participant Consent Statement All participants provided informed consent prior to their involvement in the study. Participation was voluntary, and confidentiality was assured. The need for written consent was waived by the approving ethics committee due to the minimal risk nature of the study.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eAdger W (2000) Social and ecological resilience: Are they related? Prog Hum Geogr, 24\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eAndrews P (2003) Is blogging journalism? Nieman Rep, \u003cem\u003e57\u003c/em\u003e(3)\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eAnvari-Clark J, Ansong D (2022) Predicting financial wellbeing using the financial capability perspective: The roles of financial shocks, income volatility, financial products, and savings behaviors. 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J Fam Econ Issues 42(1):124\u0026ndash;130. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1007/s10834-020-09730-8\u003c/span\u003e\u003cspan address=\"10.1007/s10834-020-09730-8\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\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":"Makerere University","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":"Frugality, Financial resilience, Financial wellbeing, Business educators, Social capital, COVID-19, Uganda","lastPublishedDoi":"10.21203/rs.3.rs-8095356/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-8095356/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003e\u003cem\u003e\u003cstrong\u003ePurpose:\u003c/strong\u003e\u003c/em\u003e\u003cem\u003e This study aims to examine the relationship between frugality, financial resilience, and financial wellbeing among university business educators in Uganda. The research is motivated by the prolonged financial stress experienced by salaried professionals, particularly academic staff, following the COVID-19 pandemic, and the need to understand how personal financial behaviors influence wellbeing in such contexts.\u003cbr\u003e\n \u003c/em\u003e\u003cem\u003e\u003cstrong\u003eDesign/methodology/approach:\u003c/strong\u003e\u003c/em\u003e\u003cem\u003e A cross-sectional and quantitative research design was adopted. Data were collected from \u003c/em\u003e252\u003cem\u003e academic staff members at Makerere University Business School (MUBS), selected through simple random sampling from a population of 743. A structured questionnaire was used, and data were analyzed using SPSS and SmartPLS, employing descriptive statistics, factor analysis, Pearson correlation, and multiple regression analysis.\u003cbr\u003e\n \u003c/em\u003e\u003cem\u003e\u003cstrong\u003eFindings:\u003c/strong\u003e\u003c/em\u003e\u003cem\u003e Correlation and regression analyses examined links among frugality, financial resilience, and financial wellbeing of Ugandan university educators. Results showed strong positive correlations between frugality and financial wellbeing (r = .612, p \u0026lt; .01) and a moderate link between financial resilience and wellbeing (r = .392, p \u0026lt; .01). Frugality and resilience were also positively related (r = .287, p \u0026lt; .01). Regression findings revealed that both variables significantly predict financial wellbeing, jointly explaining 42.1% of its variance (Adjusted R² = .421). Frugality (β = .545) had a stronger effect than financial resilience (β = .236).\u003cbr\u003e\n \u003c/em\u003e\u003cem\u003e\u003cstrong\u003ePractical implications:\u003c/strong\u003e\u003c/em\u003e\u003cem\u003e The findings highlight the importance of promoting frugal financial habits and building financial resilience among academic professionals. For university administrators, financial educators, and policymakers, the study underscores the need to design targeted financial literacy programs that enhance budgeting skills, resourcefulness, and social support systems within academic institutions.\u003cbr\u003e\n \u003c/em\u003e\u003cem\u003e\u003cstrong\u003eOriginality/value:\u003c/strong\u003e\u003c/em\u003e\u003cem\u003e To the best of the authors’ knowledge, this is the first empirical study to jointly assess the impact of frugality and financial resilience on financial wellbeing among university educators in a least developed country. Grounded in Knowledge Gap Theory (KGT), the study contributes to the understanding of how financial knowledge and behavior translate into wellbeing outcomes in homogeneous academic settings.\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e\u003cstrong\u003ePaper type:\u003c/strong\u003e\u003c/em\u003e\u003cem\u003e Research paper\u003c/em\u003e\u003c/p\u003e","manuscriptTitle":"Frugality, Financial Resilience and Financial Wellbeing in Business Educators in Uganda","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-11-17 08:24:32","doi":"10.21203/rs.3.rs-8095356/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":"4e9d927d-a4b1-43fe-97c1-0d135e0d3f99","owner":[],"postedDate":"November 17th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2025-11-17T08:24:32+00:00","versionOfRecord":[],"versionCreatedAt":"2025-11-17 08:24:32","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-8095356","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-8095356","identity":"rs-8095356","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}