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.

Adoption of electronic commerce as a resilience strategy for women's entrepreneurship in the Democratic Republic of Congo

PurposeThe present article aims to determine the factors that explain the intention to adopt electronic commerce among women traders in a developing country like Democratic Republic of Congo (DRC) during a health crisis period.Design/methodology/approachThis study was conducted in the DRC, in Bukavu Town. A convenience sample of 282 respondents consisting of solely women entrepreneurs (importing traders) in Bukavu Town was selected and the structural equation model was used to test the research hypotheses resulted from Ajzen's theory of planned behaviour.FindingsThe finding results showed that only the factors attitude towards electronic commerce adoption and subjective norms which predict women traders' intention to adopt electronic commerce. The analysis shows that about 38.9% of the variation in the dependent variable is explained by the above variables.Originality/valueFew studies have presented technology and electronic commerce adoption as resilience of women entrepreneurs in a time of crisis, despite the abundance of the review literature on adoption. This study provides a new approach to assist women entrepreneurs as well as researchers in understanding the drivers of electronic commerce adoption factors in the DRC.

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.

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.

The Improving Role of Digital Leadership in the Impact of Social Loafing on Job Performance

It is possible to define digital leadership as a type of leadership that is informed about digital technologies that help the digital transformation of employees and businesses and is also fed by modern leadership theories. The concept of digital leadership has come to the fore, particularly with Industry 4.0. Digital leadership is seen as an element that positively affects organizational culture and helps the development of the organization. Following the Covid-19 pandemic, businesses have experienced a considerable digital transformation, and it has been realized that digital leadership is now inevitable for businesses. Digital transformation is expected to contribute to the productivity and production of enterprises. The present study focused on the ability of digital leadership to avoid social loafing, which is negative organizational behavior. In particular, the extent to which job performance losses caused by social loafing were moderated by digital leadership was measured. In this regard, questionnaire forms were prepared and sent to 308 people. The collected data were interpreted by means of the Smart PLS program, and the results were obtained. In this respect, it is found that digital leadership has a moderating impact on the effect of social loafing on job performance. It is thought that the source of this effect could be explained in accordance with Social Impact Theory, Upper Echelon Theory, and Strategic Action Area Theory. (c) CIKD Publishing

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.

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.

Effects of housing layout and perceived behavioral control over social distancing in relation between social isolation and psychological distress during pandemic of COVID-19.

Due to the results of the COVID-19 epidemic on health, the positive effect of social distancing has been highlighted. Nevertheless, the effect of housing layouts on resident's perceived behavioral control over social distancing in shared open spaces have been rarely investigated in the context of pandemic. Filling this gap, the current study examines the moderating effect of perceived behavioral control on the relationship between social isolation and psychological distress. Data from 1349 women residing in 9 gated communities during the Iranian national lockdown were collected. The results of ANOVA indicate that there is a significant difference between various housing layouts in terms of residents' perceived behavioral control. Respondent in courtyard blocks layout reported higher perceived behavioral control over social distancing than in linear and freestanding blocks. The findings of structural equation modeling identified perceived behavioral control as a buffer against the effect of social isolation on psychological distress.

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.

Classification of Respiratory Syncytial Virus and Sendai Virus Using Portable Near-Infrared Spectroscopy and Chemometrics

There is evidence that it may be possible to detect viruses and viral infection optically using techniques such as Raman and infrared (IR) spectroscopy and hence open the possibility of rapid identification of infected patients. However, high-resolution Raman and IR spectroscopy instruments are laboratory-based and require skilled operators. The use of low-cost portable or field-deployable instruments employing similar optical approaches would be highly advantageous. In this work, we use chemometrics applied to low-resolution near-IR (NIR) reflectance/absorbance spectra to investigate the potential for simple low-cost virus detection suitable for widespread societal deployment. We present the combination of near-IR spectroscopy (NIRS) and chemometrics to distinguish two respiratory viruses, respiratory syncytial virus (RSV), the principal cause of severe lower respiratory tract infections in infants worldwide, and Sendai virus (SeV), a prototypic paramyxovirus. Using a low-cost and portable spectrometer, three sets of RSV and SeV spectra, dispersed in phosphate-buffered saline (PBS) medium or Dulbecco's modified eagle medium (DMEM), were collected in long- and short-term experiments. The spectra were preprocessed and analyzed by partial least-squares discriminant analysis (PLS-DA) for virus type and concentration classification. Moreover, the virus type/concentration separability was visualized in a low-dimensional space through data projection. The highest virus-type classification accuracy obtained in PBS and DMEM is 85.8% and 99.7%, respectively. The results demonstrate the feasibility of using portable NIR spectroscopy as a valuable tool for rapid, on- site, and low-cost virus prescreening for RSV and SeV with the further possibility of extending this to other respiratory viruses such as SARS-CoV-2.

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.

Consumption coping to deal with pandemic stress: impact on subjective well-being and shifts in consumer behavior

PurposeThis study aims to investigate the role of consumption coping in managing collective tragedy stress and stress outcomes using the COVID-19 pandemic context. Design/methodology/approachA mixed-method study with a sample size of 931 was conducted to develop the questionnaire, followed by a quantitative study with 1,215 respondents to test the hypotheses. FindingsThe results of this study empirically validated the use of consumption coping and found it effective in managing collective tragedy stress and its outcomes (subjective well-being and continuance intention). Research limitations/implicationsThis study advances the literature on stress coping in a collective tragedy context, with a specific focus on consumption coping. Practical implicationsThe COVID-19 pandemic has affected all elements of the marketing mix. Understanding pandemic-induced stress and the role of consumption coping can help managers to proactively formulate strategic responses suitable for changing consumer habits. Social implicationsThe COVID-19 pandemic has affected all elements of the marketing mix. Understanding pandemic-induced stress and the role of consumption coping can help managers to proactively formulate strategic responses suitable for changing consumer habits. This should lead to better social outcomes. Originality/valueThis study developed a scale for pandemic-induced stress that integrates various well-established theories to identify the role of consumption coping in managing collective tragedy stress and the psychological mechanism behind the shift in consumer behavior after a collective tragedy.

Adoption of Cashless Transactions by MSME Sector of India

This study explored MSME's knowledge, usage, and preference of different Digital Technologies in business. This study will further reveal the preference of registered small business units between cash and cashless transaction. The researcher adopted the primary data collection method for this study. The owners/managers of the registered small business units were directly questioned. The data is collected from the Karkardooma complex area situated in the national capital of India i.e., Delhi. The information was gathered between December 2020 and February 2021. The findings of the study reveal that awareness among small business units about different digital payments and their advantages is high, but adoption is low. The result of the study indicates that the original TAM model i.e., perceived ease of use and perceived usefulness along with other factors i.e., subjective norm and selfefficiency has a significant impact on the behavioral intention of MSMEs. Further, demonetization and COVID-19 have forced many small businesses to opt for Cashless transactions but still, they prefer cash.

Knowledge-Based Human Resource Management, Logistics Capability, and Organizational Performance in Small Finnish Logistics Service Providers

Background: In the current knowledge age, the performance of logistics firms increasingly depends on knowledge and capabilities they can leverage in value-creation processes. The objective of this paper is to investigate the relationship between knowledge-based human resource management (HRM) practices and organizational performance mediated by logistics capability. Methods: Data from 93 small Finnish logistics service providers was collected by a questionnaire survey. Structural equation modeling and partial least squares analysis were used to test the hypothesized relationships between HRM practices and the organizational performance of logistics companies, as well as the mediating impact of logistics capability. Results: The results demonstrate that logistics capability fully mediates the relationship between HRM practices and the organizational performance of small logistics companies. Each of the three knowledge-based HRM practices-knowledge-based recruitment, training and development, and motivation-significantly influences logistics capability, which is, in turn, associated with the organizational performance of companies. Conclusions: This paper is one of the few among discussing knowledge-based HRM practices in logistics service research. The paper contributes to the literature on logistics by demonstrating the value of knowledge-based HRM practices in acquiring, developing, and leveraging knowledge to create organizational capabilities and ensure organizational performance. This study provides an improved understanding of the role of HRM and the resulting logistics capability in the performance of small logistics service companies.

Back from the Future: Mediation and Prediction of Events Uncertainty through Event-Driven Models (EDMs)

The event-driven model (EDM) is an emerging concept in human behavioural research, and understanding how EDMs can promote theory development remains a fundamental quest of predictive science. Traditionally, researchers have heavily depended upon theory confirmation and the inclusion of mediating constructs to clarify uncertainty associated with plausible events (e.g. political, socio-economic, technological, environmental). Though this approach has pushed the field forward, it has also steered mediation research towards largely ignoring the fundamental role of prediction as a key for better understanding future events represented by EDMs. Additionally, emerging research using partial least squares structural equation modelling to execute prediction-oriented analysis continues to overlook problematic endogeneity bias and plausible type IV errors due to omitted paths and neglect of indirect effect size estimation in mediation models that embrace the transmittal or segmentation mediation approaches. We aim to introduce prediction as a fundamental option for estimating EDMs and recommend that researchers employ the segmentation mediation approach when estimating EDMs. We further emphasize a novel direct and indirect (v) effect size measure, types of prediction and cases when they are useful. Best practices and practical implications are provided to foster a more useful interpretation of findings.

Investigation of Project Delays: Towards a Sustainable Construction Industry

The construction industry is one of the key industries for any country. It has been observed that this industry is suffering from sustainable solutions during project execution. It is evident from the literature that most of the construction projects are seriously affected by delays. Pakistan's construction industry also suffers similar challenges. After the COVID-19 pandemic, the construction industry is experiencing several challenges which have resulted in project delays. Thus, this study investigates the key challenges affecting the timely completion of construction projects. The challenges were discovered from the literature and investigated to analyze their significance towards a sustainable construction project. This study also observes the relationships between the key challenges using Partial Least Squares Structural Equation Modeling (PLS-SEM). A structural model was developed based on the 55 common challenges identified from literature. Data collection was administered through a structured questionnaire survey using a 5-point Likert-scale. The challenges were grouped into six constructs. The outcome reported 20 critical challenges, with information and communication-related factors being the most important challenge in the construction industry. Contract management also significantly affects project time overrun. The created model served as a starting point for academics, researchers, and practitioners to create an effective system for regulating time overrun challenges.

Does Participative Leadership Promote Employee Innovative Work Behavior in IT Organizations

The responsibilities of leaders have grown as a result of information technology organizations' increasing reliance on information and development to carry out their work. It is important for leaders to guide and support organizations as they respond to the challenges of continually generating new innovation and information frameworks. The participative initiative, therefore, is characterized as an authority that draws on part data and part insight to reduce progressive obstructions by including individual hierarchical individuals in the decision-making process. The participative initiative encourages a positive style of leadership in which the leader provides workers with the chance to partake in dynamic and critical thinking through consolation, backing, and impact. The purpose of this study is to investigate the influence of participative leadership on employee innovative work behavior through the mediating role of employee knowledge-sharing attitude and absorptive capacity, with project risk management as moderator. The non-probability convenience sampling technique was used and data collection occurred over three months from January 2022 to March 2022. As data collection took place in one time period, the design is cross-sectional in nature. The data were collected from 273 workers (i.e. engineering manager, project manager, project leader, team leader, software engineer, advisor, and expert) working in different public and private sector IT companies of Portugal. Due to the COVID-19 pandemic, both hard and soft copies of surveys were distributed via email. The analysis was performed using Smart PLS version 3.2.8. The results revealed that participative leadership had a direct effect on employee innovative work behavior that was positive and significant. Also, both the knowledge-sharing attitude and absorptive capacity of employees positively and significantly mediate the relationship between participative leadership and employee innovative work behavior. Project risk management, however, only significantly moderates the relationship between absorptive capacity and employee innovative work behavior. Lastly, some theoretical, practical implications, study limitations and future directions were discussed.

COVID-19 Lockdown Restrictions and Small Business Survival Strategy: Government Supporting Schemes

From antiquity to the present day, the contribution of small businesses to the economic development of a country is overwhelming. Nowadays, COVID-19 lockdown restrictions have exerted an outrageous impact on small businesses survival. In developing countries where government-supporting capacity is low, the severity is substantial. The present study predicts the impact of COVID-19 lockdown restriction and government supporting schemes on small business survival. To meet this purpose, the study primarily used PLS-SEM and binary logit models. The results confirmed that over 44% of small businesses would fail in the first month of lockdown restriction. Moreover, only 6% have cash reserve to survive twelve months. In this regard, the present study suggested that the government should have to abstain from total lockdown measures, without government-supporting schemes. As such, the study has examined the relative importance of COVID-19 based special loan, suspension of payments, withdrawal of restricted funds, and exemption of tax and penalty payments. Among these supporting schemes, COVID-19 based special loan is the most important government-supporting scheme followed by the suspension of interest and principal payments. However, the exemption of tax payments and withdrawal of restricted funds were not significant.