The Impact of COVID-19 on Supply Chain in UAE Food Sector

The COVID-19 outbreak has significantly impacted supply chains and has caused several supply chain disruptions in almost all industries worldwide. Moreover, increased transportation costs, labor shortages, and insufficient storage facilities have all led to food loss during the pandemic, and this disruption has affected the logistics in the food value chain. As a result, we examine the food supply chain, which is one of the key industries COVID-19 has detrimentally affected, impacting, indeed, on the entire business process from the supplier all the way to the customer. Retail businesses are thus facing supply issues, which affect consumer behavior by creating stress regarding the availability of food. This has a negative impact on the amount of food that is available as well as its quality, freshness, safety, access to markets, and affordability. This study examines the impact of COVID-19 on the United Arab Emirates food distribution systems and how consumer behavior changed in reaction to interruptions in the food supply chain and the food security problem. Hypothesis testing was used in the study's quantitative methodology to assess consumer behavior, and participants who were consumers were given a descriptive questionnaire to ascertain whether the availability and security of food had been impacted. The study used JASP 0.17.2 software to develop a model of food consumption behavior and to reveal pertinent connections between each construct. Results show that consumer food stress and consumption behavior are directly impacted by food access, food quality and safety, and food pricing. Furthermore, food stress has an impact on how consumers behave when it comes to consumption. Food stress, however, is not significantly influenced by food supply.

Exploring the Preference of Corporations for Sponsorship Motives and the Impact of Sponsorship Motives on Sponsoring Intention in Post-Epidemic Era: Using Two Different Approaches-FPR and SEM

The aim of this study is to explore the preference of corporations for sponsorship motives and the impact of sponsorship motives on sponsoring intention in the post-epidemic era of COVID-19. Taking a Taiwanese company as a case study, a total of 60 expert groups comprising 300 respondents (the management of the sampled companies) were surveyed in the post-epidemic period, with data being collected from 60 sampled companies in February-May 2022. Data were analyzed by using two different functional approaches, including fuzzy preference relations (FPR) for the first survey (study 1) and structural equation model (SEM) for the second survey (study 2). Results reveal that corporate image is the most preferential motive of sponsorship and also demonstrates the most significant and positive influence on sponsoring intention. Meanwhile, the measured factor of performing corporate social responsibility (CSR) appears the most correlated with the construct of corporate image. Based on the results, the study can fully fill the gap between sponsorship motives and sponsoring intention in sponsorship knowledge. Additionally, the conjunction of FPR and SEM can also create methodological synergies, namely, enhancing complementary effects and achieving better holistic analysis. Findings also suggest that special attention should be paid to CSR, which plays a pivotal role in affecting the decision of corporations for sponsorship motives and sponsoring intention and, in a post-epidemic era, continuing to develop CSR actions to enhance corporate image can be the best strategy while facing internal and external challenges of implementing sustainable development (SD).

Digital Socialligators? Social Media-Induced Perceived Support During the Transition to the COVID-19 Lockdown

The sudden COVID-19-induced transition from a physical university life to a virtual one was a painful one for many students. Social distancing measures mean more than a simple change from face-to-face to online education. This study investigates how different social aspects, such as the students' psychological sense of community, social capital, and use of social media, facilitated the perceived social support during the transition to the COVID-19 lockdown. Our results not only underline social media's role, but also indicate that the perceived social support, as well as the bonding and bridging social capital, were particularly relevant during the transition process. Our findings are aimed at organizational management by recommending actionable ways in which they could improve social support by organizing computer-supported social networks, social support predictors, and specialized interventions for students with less perceived social support. As such, the study provides unique insights into the COVID-19-induced lockdown situation among students, while offering a transition model that also generalizes to other settings. [ FROM AUTHOR] Copyright of Social Science Computer Review is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

Influence of Social Media on Consumers' Online Purchasing Habits During: The COVID-19 Pandemic in Pakistan

Currently, businesses located all over the world are adjusting to a new standard of operation. Customers are encouraged to make their purchases of necessities through the favored e-commerce platform of the organization. For the purpose of marketing web-based enterprises, websites such as Facebook, Twitter, Instagram, and Pinterest are utilized. The purpose of the study was to investigate how the COVID-19 epidemic altered the purchase patterns of Pakistani customers shopping online, with a particular emphasis on the role played by social media. The study utilized a quantitative research model and a descriptive research technique in its data collection and analysis. In order to obtain responses from 400 Pakistani clients, an online questionnaire employing the "purposive sampling" method was used. When looking at the data and putting the hypothesis to the test, PLS-SEM analysis was utilized. During the COVID-19 pandemic in Pakistan, a PLS-SEM study indicated that advertising tools, online reviews, and endorsements from celebrities had a favorable and significant effect on how individuals bought products online. According to the findings of this study, online businesses can improve their use of social media for marketing and advertising by following a number of particular measures. Customers have a greater propensity to make purchases via social media platforms when they come across favorable evaluations and recommendations from celebrities.

E-LEARNING AND THE FACTORS THAT INFLUENCE THE FEAR OF FAILING AN ACADEMIC YEAR IN THE ERA OF COVID-19

The aim of this research has enabled us to establish the influential relationship between factors associated with e-learning, such as individual impact and depression, and the mediating role in psychological distress and computer anxiety related to the fear of failing an academic year in times of COVID-19 in university students at two universities in the Arequipa region of Peru. The methodology used was developed in two stages;in the first stage, an Exploratory Factor Analysis (EFA) was performed, which enabled us to compare the initial results from the theoretical matrix proposed with the observed matrix;in the following stage, a Confirmatory Factor Analysis (CFA) was performed, as an analytic condition for the factors and to determine the robustness of the proposed model. For this purpose, the Structural Equation Modeling (PLS-SEM) was used, based on partial minimum squares. The sample for the study was made up by 252 students. It is concluded that there are significant influential relationships among the variables observed, such as the individual impact of e-learning, depression, mediated by psychological distress and anxiety for fear of failing the academic year © Article's contents are provided on an Attribution-Non Commercial 4.0 Creative commons International License. Readers are allowed to copy, distribute and communicate article's contents, provided the author's and JOTSE journal's names are included. It must not be used for commercial purposes. To see the complete licence contents, please visit https://creativecommons.org/licenses/by-nc/4.0/

Pandemic Dining Dilemmas: Exploring the Determinants of Korean Consumer Dining-Out Behavior during COVID-19

Amid the COVID-19 pandemic's significant impact on the dining-out industry, this study examined factors influencing consumers' dining-out behavior changes using a unified theoretical framework based on the theory of planned behavior (TPB) and select components of the risk information seeking and processing (RISP) model. A quantitative research method was employed, analyzing 536 valid survey responses collected in South Korea in early 2021 using partial least squares structural equation modeling (PLS-SEM). Findings showed that consumer attitude, perceived control, and subjective norm positively influenced dining-out intention, supporting the TPB. However, risk information-seeking behavior discourages dining-out behavior without significantly affecting intention. Fear emerged as a determinant of dining-out intention, risk information-seeking behavior, and dining-out behavior, highlighting the importance of emotions over rational thinking. This study contributes to existing literature by incorporating dining-out intention, COVID-19-related information-seeking behavior, and fear as key antecedents of dining-out behavior during the pandemic, while validating formative indicators that constitute risk information-seeking behavior and dining-out behavior in the research model.

A Structural Equation Model to Analyze the Effects of COVID-19 Pandemic Risks on Project Success: Contractors' Perspectives

The purpose of this paper is to capture the direct and indirect effects of COVID-19 emerging risks on construction projects' success in developing countries from the contractors' perspective. To achieve this, we collected data from Iraqi construction industry and conducted the following multistage research methodology: (1) preliminary investigation with four construction contractors to identify the success indicators of construction projects;(2) focus group session with 11 experts to identify the COVID-19 emerging risks for the construction industry;(3) semistructured interviews with seven construction experts to develop several hypotheses on the effect of COVID-19 emerging risks on project success;(4) survey data collection from 99 construction contractors;and (5) development of a structural equation model (SEM) to analyze the effects of COVID-19 emerging risks on project success. The results of the SEM analysis show that financial market (FM)-related risks, supply chain operations (SCO)-related risks, health and safety of construction workforce (HSCW)-related risks, organizational implications (OI)-related risks, and contractual implications (CI)-related risks have a significant impact on construction projects success. CI-related risks have the strongest total effects on project success, followed by OI-related risks, FM-related risks, HSCW-related risks, and SCO-related risks, respectively. The results also emphasis the significant mediation role of CI between COVID-19 emerging risks and project success. This study contributes to the body of knowledge and contracting companies by helping researchers and construction contractors to better understand how the key risk factors emerging from extreme conditions like the COVID-19 pandemic affect construction projects' success and may serve as a guideline for developing effective response strategies. © 2023 American Society of Civil Engineers.

Using theory of mind to understand the impact of Covid-19 fear on healthcare workers' withdrawal intentions

PurposeHealthcare workers' (HCWs') job-related high exposure to Covid-19 virus arouses fear of Covid-19 among them. Based on the Theory of Mind (ToM), the study predicts that fears will lead to negative psychological (psychological distress) and behavioral (withdrawal intentions) outcomes. ToM is also used to identify social intelligence as a means to counter fear of Covid-19 on heightened psychological distress and increased withdrawal intentions.Design/methodology/approachTo investigate the study design, a sample of 262 HCWs, including doctors, nurses and technicians, were surveyed using standardized questionnaires.FindingsAs predicted, Covid-19 fear led to increased withdrawal intentions with heightened psychological distress partially mediating the relationship. The alleviating role of social intelligence on the effects of Covid-19 was supported as high social intelligence reduced HCWs' turnover intentions, with decreased psychological distress partially mediating the relationship.Originality/valueGiven the universality of the Theory of Mind (ToM), the findings of this study are likely to be generalizable to all pandemics. The study results support the increased application of ToM in organizational settings and have both theoretical and practical implications for health administrators. Based on study results, health administrators are exhorted to develop ToM-based mental models to understand and deal with the fear of contagious diseases. Health administrators can also increase HCWs' social intelligence to deal with the negative perceptual and behavioral outcomes arising from the emotions aroused by the nature of their work.

Enhancing Value Co-Creation through the Lens of Dart Model, Innovation, and Digital Technology: An Integrative Supply Chain Resilient Model

The global supply chain process has been badly affected by the COVID-19 pandemic. Consequently, firms search for factors that influence supply chain resilience and improve firm operational performance. The current research develops an integrated resilient supply chain model that combines factors underpinned DART model, innovation, digital technology, and value co-creation to investigate supply chain resilience during the COVID-19 pandemic. The research framework was empirically tested with a data set of 329 responses from employees working in logistics firms. the study find that supply chain resilience is determined by value co-creation, the DART model, innovation, and digital technology. The factors underpinning the DART model, including dialogue, access, risk assessment, and transparency, have positively impacted value co-creation. The structural model shows that dialogue has a positive impact on developing value co-creation between manufacturing firms and stakeholders, Empirical investigation revealed that value co-creation in supply chain operations is estimated by dialogue, access, risk assessment, transparency, innovation, and digital technology and revealed substantial variance R-2 71.9% in measuring value co-creation. This research is significant as it develops a resilient supply chain model with the combination of the DART model, innovation, digital technology, and value co-creation and investigates supply chain resilience during the COVID-19 pandemic. Although current research contributes to theory, practice, and method, disclosing research limitations opens numerous avenues for future researchers. This study does not claim to include all factors that impact the value co-creation process in supply chain operations. For instance, other factors, such as IT infrastructure, commitment, and integrative quality, may positively influence value co-creation. Second, supply chain resilience is determined by value co-creation and network capability. Therefore, the research encourages academicians and policymakers to investigate the supply chain resilience phenomenon with other market-oriented facts. future researchers are suggested to investigate the current research model in longitudinal method.

Front-line hotel employees mental health and quality of life post COVID-19 pandemic: The role of coping strategies.

The tourism business has been severely impacted by the COVID-19 pandemic, resulting in economic and job losses due to travel restrictions and lockdown measures. Among those most impacted are tourism employees, who have experienced job insecurity, financial difficulties, and increased work-related stress. The pandemic has also produced a significant negative effect on both mental health and quality of life (QOL) of these employees, leading to high levels of anxiety, stress, and depression. This study aims to assess the impacts of three coping strategies (problem-focused, social support, and avoidance) on the mental health and quality of life of front-line hotel employees. Data were collected from 700 participants and analyzed using SPSS version 25 and structural equation modeling (SEM) and AMOS program version 24. Our study found that social support and problem-solving coping strategies were effective in mitigating the negative impacts of stress, depression, and anxiety, while avoidance coping strategy did not have a significant impact. The mental health consequences of stress, depression, and anxiety were found to reduce the quality of life of hotel employees. The study highlights the significance of developing and implementing effective coping strategies to support the mental health and well-being of tourism employees. The findings suggest that organizations should provide resources and support to address the mental health needs of their employees.

Factors Affecting Decision to Adopt Artificial Intelligence During COVID-19 Pandemic Period: Evidence from PLS-SEM and fsQCA

The study investigated the factors influencing the demand for Artificial Intelligence (AI) applications in Vietnam from the perspective of Accounting and Auditing. The data was gathered using a quantitative technique based on questionnaires to study a total of 206 accountants and auditors, and was analysed using the PLS-SEM method to determine influential factors and their relationships. In addition, we compare the PLS-SEM results with a recently established approach of panel data fuzzy-set qualitative comparative analysis (fsQCA). The results reveal that the components of finance, tasks, technology, epidemics, knowledge readiness and trust all have a favourable impact on the use of AI in Accounting and Auditing in Vietnam. Besides, the fsQCA results are consistent with the PLS-SEM method, which means that our findings are robust and valid. This study adds empirical evidence to the scientific literature on AI in Accounting and Auditing, which will be immensely beneficial for legislators and businesses looking to improve company efficiency. Besides, applying the fsQCA approach contributes significantly to the existing literature about the research method. © 2023 MDI.

Exploring the Factors Affecting Learners' Adoption Intention of MOOC in Higher Education during the COVID-19 Pandemic

The COVID-19 epidemic has had a huge impact on all education systems throughout the world. The lockdown policy caused higher education to find alternative teaching solutions to serve students' needs. Consequently, MOOCs have become a fascinating solution for several universities. However, the evidence from existing research still needs to be better understood by significant factors to support learners during COVID-19. This study examined the factors influencing students' adoption intention of MOOCs in developing countries during the coronavirus outbreak. This research reports the online survey of 1,384 university students enrolled in Thai MOOC as the primary part of the curriculum. The extended UTAUT2 was proposed and analyzed using a structural equation model to improve the comprehension of students' adoption intention on Thai MOOC. The result found Performance Expectancy, Hedonistic Motivation, Habit, and Local Language Support significantly influence MOOCs adoption intentions. While Habit was found to be the most significant to students' adoption intention, only gender had a moderating effect on the relationship between Habit and Adoption intention. The overall proposed model explained 84% of the variance in MOOC adoption intention of university students in Thailand during the COVID-19 pandemic. © 2023 IEEE.

What determines the tax compliance intention of individual taxpayers receiving COVID-19-related benefits? Insights from Indonesia

PurposeEven as governments worldwide take extraordinary measures and spend unprecedented amounts of their state budgets to combat COVID-19, tax compliance remains challenging. Therefore, this study employs previously identified predictors to investigate the factors that persuade individual taxpayers to comply with the law.Design/methodology/approachIndividual taxpayers in Indonesia (N = 699) who had experienced COVID-19-related benefits were asked to assess the provided evaluation regarding the tax compliance intention and its determinants. The bootstrapping analysis was employed using smart partial least squares (SmartPLS) to test the hypotheses.FindingsThe results suggest that the perceived fiscal exchange, tax morality, tax fairness, tax complexity and the power of authority are significant determinants of tax compliance intention. This study also supports the indirect effects of numerous factors on tax compliance intention through the perceived fiscal exchange and tax morality. In practice, reminding taxpayers of how tax payments fund public services, improving taxpayer morale, increasing the perceived fairness of the tax system, streamlining the tax code and managing the effectiveness of tax administration could all lead to a greater intention to comply with the law.Originality/valueIn addition to highlighting the dynamics of tax compliance amid the unprecedented pandemic crisis, our findings also provide insight into the importance of perceived fiscal exchange and tax morality for achieving and sustaining planned behavior to comply with tax rules.

Social support as a moderator between resilience and psychological distress among korean americans perceiving racial discrimination during COVID-19: An exploratory application of a moderated mediation model

This study examined how resilience is connected to psychological distress among Korean Americans (both U.S. born and foreign-born). Specifically, we explored the mediating role of perceived racial discrimination and the association between resilience and perceived racial discrimination moderated by different levels of social support. A structural equation model (a moderated mediation model) was employed with a sample of 781 participants. The data were obtained through online surveys for variables of interest. We employed this structural equation model to examine the association between variables using the bootstrapping method. We found that the indirect association of resilience with psychological distress through perceived racial discrimination was statistically significant. We also found that the mediating association of perceived racial discrimination was moderated by the extent of social support, especially when the level of social support was low and moderate. We discovered the roles of social support and perceived racial discrimination during the COVID-19 pandemic and the link between resilience and psychological distress for Korean Americans. The findings suggested that social services and culturally sensitive/responsive resilience-focused treatments (including a mindfulness program) alleviate heightened psychological distress among Asian Americans who experienced racial discrimination during the pandemic. Policy implications are also discussed.

Adoption of blockchain technology enabled healthcare sustainable supply chain to improve healthcare supply chain performance

PurposeThe COVID-19 pandemic has had a significant and worldwide influence on healthcare delivery, and it has significantly increased the pace at which digital technology is being used. Blockchain, one of these developing digital technologies, is distinguished by a number of properties. This study focuses on a blockchain-enabled healthcare supply chain. The purpose of this work is to investigate how blockchain technology (BCT) benefits the performance of healthcare supply chain management (HSCM).Design/methodology/approachThe present study is based on the empirical research. Blockchain Technology (BCT), Healthcare Sustainable Supply Chain Practices (HSSCP), Healthcare Supply Chain Performance (HSCP) and Stakeholders' Involvement (SI) practices are identified from the literature review and hypotheses are framed to check their interrelationship. For testing of hypothesis, a questionnaire was developed. Data collection was done by healthcare professionals via Google docs. The IBM SPSS version 22.0 was used to analyze the data and IBM SPSS AMOS 22.0 software was used for the development of structural modal. The data was collected through the Google form from the stakeholders of healthcare sector and analyzed through Structural Equation Modelling.FindingsThis research is focused on adoption of BCT enabled Healthcare Sustainable Supply Chain to improve HSCP. From the result, it had been found that BCT is positively effecting the stakeholder's involvement (SI) and HSSCP practices. Cumulatively, they positively impact the performance of HSCP. From this study, it is found that adoption of BCT enabled Healthcare Sustainable Supply Chain succours to combat COVID-19 situation.Originality/valueThis study attempts to show the potential benefits of the adoption of BCT enabled HSSCP to improve HSCP.

Lessons Learned from Online Teaching and Their Implications for Students' Future Careers: Combined PLS-SEM and IPA Approach

As far as students are concerned, there is a well-founded relationship between academic performance and career management from which a special professional path can result, based on the multitude of knowledge, skills, and experiences acquired during the years of study. To this end, the presence and help of teachers participating in the learning process, the teaching activities they are involved in, and their own participation are determinant factors. This research aims to highlight the impact that the above factors have on the professional future of students. For this purpose, 395 respondents, including students in the bachelor's and master's cycles, were involved in the research process, to whom a questionnaire was given in electronic format during two stages: one where the didactic activity was carried out in online format and the other carried out face-to-face. Hypotheses testing was performed using partial least squares structural equation modeling. The present study focuses on two main directions regarding the results obtained. Thus, with respect to the acquisition of knowledge and the development of student skills, it emerged that the effect of the content in the didactic activities on student skills and the development of competencies is strengthened by the skills and degree of involvement of the teaching staff from the university environment. Related to the management of students' careers, the analysis showed that the effect of the content in didactic activities is complemented by the accumulation of knowledge and the formation of student skills. The rigorous economic training resulting from didactic activities constitutes a main pillar in the students' future, even more so depending on how much they perceive that the topics covered in the university courses are of interest to them. The results of this study can serve as theoretical support for future research that addresses the topic of student career management and the implications of university activities on knowledge and skills. In addition, the results can support decisions for the management of higher education institutions regarding the development and implementation of university programs and educational strategies with the aim of increasing the involvement of teachers and students in the teaching–learning process.

A Sustainable Quality Model for Mobile Learning in Post-Pandemic Higher Education: A Structural Equation Modeling-Based Investigation

As an effect of the digital transformation encountered by higher education institutions in the post-pandemic phase, the current study aims to inspect the factors affecting the actual use of mobile learning among higher education students. A novel hybrid model based on the information system success and technology acceptance models was proposed and tested. The study included 400 undergraduate and postgraduate students from four Saudi universities who responded to a questionnaire consisting of two parts and seven dimensions, with a total of 26 items. For the analysis, a quantitative approach was applied using structural equation modeling. The results displayed that information quality had no impact on the actual use of mobile learning among higher education students. In contrast, other quality factors (system quality, service quality, and satisfaction) and perceived factors (perceived usefulness and perceived ease of use) had a positive effect. Accordingly, this study proposed an integrated framework to assist decision makers at higher education institutions in scaffolding students to develop their educational performance by depending on mobile applications comprising high-quality factors that address their real needs. This would also enable higher education institutions to enhance their digital transformation experience, thus contributing to achieving positive learning sustainability after the pandemic.

The Impact of Social Loafing on Turnover Intention for Tourism Employees Post COVID-19: The Mediating Role of Mental Health.

The COVID-19 pandemic has led to widespread changes in the way that people work, including an increase in remote work and changes in group dynamics. Social loafing, the phenomenon of reduced individual effort in group settings, has been widely studied in the literature. However, less is known about the potential impacts of social loafing on mental health and turnover intention in this relationship. In this study, we hypothesized that social loafing would be related to turnover intention and that mental health would mediate this relationship. To test these hypotheses, we conducted a cross-sectional survey of 700 full-time tourism employees in Egypt. The obtained data were analyzed by Partial least squares structural equation modeling (PLS-SEM). Our results indicated that social loafing was significantly related to turnover intention and negative mental health consequences significantly mediated this relationship. The results showed that stress (as a dimension of mental health) experienced by employees may act as a mediator between social loafing and turnover intention. On the other hand, depression and anxiety were not observed to have a similar mediating effect. This implies that stress could play a vital role in the decision-making process of employees who are contemplating leaving their job due to social loafing. These findings suggest that interventions aimed at reducing social loafing may have the added benefit of improving mental health and decreasing turnover intention in the workplace.

Effectiveness Analysis of Public Transit Pandemic Prevention Strategy Considering Traveler Risk Perception

Since the outbreak of COVID-19, there have been hundreds of millions of confirmed cases in the world, and people can strongly perceive the risk of infection with the virus in their daily lives, which has seriously affected people's life and travel, thus hindering the development of all sectors of society, especially the transportation sector. Taking China as an example, since the outbreak of the pandemic, China's overall public transportation passenger volume has decreased by about 37%, seriously affecting the normal running of the public transit. Therefore, the ways of ensuring the normal running of the public transport system during the pandemic has become the focus of this paper. In order to solve this problem, this paper constructed a SEM model based on pandemic risk perception, analyzed the impact of public transit pandemic prevention strategies (TPS) on risk perception (RP) and travel mode use according to the personal trip survey data in Harbin, China during the pandemic. The results showed that people's risk perception had a significant negative impact on car usage and transit usage. In other words, people's risk perception of virus infection had a great impact on travel, especially on the use of public transit. The transit pandemic prevention strategy had a significant negative impact on risk perception, and had a significant positive impact on people's use of transit. This showed that in the current pandemic outbreak period, the transit pandemic prevention strategy proposed by the Harbin authorities cannot effectively reduce transit usage, and can provide proven and effective transit pandemic prevention strategies. This provided an important support for ensuring the normal running of the public transit system and guiding the sustainable development of public transit during the outbreak of the pandemic.

The interplay of skills, digital financial literacy, capability, and autonomy in financial decision making and well-being

Covid-19 and the unprecedented surge in financial technology contributed to unexpected financial challenges, affecting the relevance of financial decision making and perceived financial well-being. This paper examines the mediating effects of digital financial literacy, financial autonomy, financial capability, and impulsivity on financial decision making and perceived financial well-being. The data come from 512 re-spondents in Delhi/NCR (National Capital Region), India, using a snowball-sampling technique and partial least squares structural equation modeling to test 13 structural hypotheses with SmartPLS3.3. Partial least squares (PLS) prediction is employed to estimate the out-of-sample predictive power of the proposed model. Our findings reveal that skills directly affect financial decision making and perceived financial well-being, and digital financial literacy emerges as a direct and mediating predictor of financial decision making. The dominance of financial capability and financial autonomy as mediators in financial decision making and financial well-being become more evident, and impulsivity fails to have mediating effects on financial decision making. The results have academic, regulatory, and managerial implications, all of which calls for more concerted efforts at recognizing the unique interaction among skills-financial decision making-perceived financial well-being, the cu-mulative effect of which enhances the critical ability to deal with environmental challenges, manage socioeconomic pressures in a sustainable manner, and translate the benefits into prudent gender-specific policy decisions and practices.Copyright (c) 2022 Borsa Istanbul Anonim S , irketi. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).