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The lockdown in the spring of 2020 significantly disrupted businesses. Unquestionably, countless dealers who had to shut their shops for weeks were hit hardest by the crisis. Similarly, consumers also face many difficulties, especially in emerging economies. At this time, e-commerce is the only available option that people can use to fulfill their needs. In developing states, people prefer to buy things from shops. Hence, it raises a concern about whether people will adopt e-commerce in the COVID-19 pandemic. The study aims to examine the consumers’ intention to adopt e-commerce by incorporating corona fear as a moderator.

The statistical techniques applied to the data set were confirmatory factor analysis and partial least square structural equation modeling.

The findings depict that perceived usefulness, perceived ease of use, subjective norms, perceived lack of alternatives are positively and significantly connected with the intention to adopt e-commerce. However, perceived risk, perceived behavioral control and attitude have a positive but insignificant effect. Additionally, moderating analysis results depict that corona fear moderates the associations between perceived risk, perceived usefulness, subjective norms and attitude. However, no moderating effect is found in perceived ease of use and perceived behavioral control.

The present research is the initial attempt that analyzes consumers’ intention to accept e-commerce during the corona pandemic in a country like Pakistan, where the trend of physical shopping is more favorable among consumers. Also, it includes the moderating role of corona fear to understand how this fear has shaped the consumers’ intention to shop online? Additionally, the technology acceptance model framework is expanded by including perceived risk and perceived lack of alternatives in the research model.

The study aims to inspect the impact of employees’ perception of corporate social responsibility (CSR) and their spiritual values on their affective commitment and job satisfaction, which in turn may promote organizational citizenship behavior. Furthermore, this study examines the moderating effect of Islamic work ethics to identify whether they strengthen or weaken the proposed associations.

A survey instrument was devised to collect data from employees. The statistical analysis of the data was conducted using the Smart PLS software. Additionally, the research uses the “Partial Least Square-Structural Equation Modelling (PLS-SEM)” technique.

The findings of the study suggest that employees’ perception of CSR exhibits a positive association with affective commitment and job satisfaction. Likewise, employees’ spiritual values demonstrate a positive and significant correlation with affective commitment and job satisfaction. Finally, the outcomes reveal that affective commitment and job satisfaction play a major role in fostering organizational citizenship behavior. Moreover, Islamic work ethics positively and significantly moderate the relationship between employee CSR perception and affective commitment and between employee CSR perception and job satisfaction.

This research study endeavors to fill the gaps in the current literature by investigating two crucial aspects of employees: their perception of CSR and spiritual values. Additionally, the study includes Islamic work ethics as a moderator to provide a more comprehensive understanding of how these factors contribute to fostering organizational citizenship behavior. This work highlights the significance of spiritual values and social responsibilities in employees’ lives and how Islamic work ethics shape their behavior accordingly.

The research analyzes the influence of three environmental triggers, i.e. awareness, concern and knowledge on environmental attachment and green motivation that affect tourists' pro-environmental behavior in the Pakistan’s tourism industry. Furthermore, this study has analyzed the moderating role of moral obligation concerning environmental attachment and green motivation on tourists' pro-environmental behavior.

Data were gathered via a structured questionnaire by 237 local (domestic) tourists of Pakistan. Furthermore, the data were examined by employing SmartPLS.

Findings demonstrate that all three environmental triggers have a positive and significant relationship with environmental attachment and green motivation. Accordingly, environmental attachment and green motivation promote tourists' pro-environmental behavior. Furthermore, the moderating role of moral obligations has also been incorporated in the study. The finding reveals a strong and positive relationship among environmental attachment and tourists' pro-environmental behaviors during high moral obligations. In contrast, moral obligations do not moderate association between green motivation and tourists' pro-environmental behavior. Therefore, competent authorities should facilitate tourists to adopt environmentally friendly practices; which will ultimately promote pro-environmental behavior.

This study provides useful insights regarding the role of tourism in fostering environmental attachment and green motivation that sequentially influence tourist pro-environmental behavior. Secondly, this research has employed moral obligations as a moderator to identify the changes in tourists’ pro-environmental behavior based on individuals' ethical considerations. Hence, the study provides an in-depth insight into tourists' behavior. Lastly, the present research offers effective strategies for the tourism sector and other competent authorities to increase green activities that can embed the importance of the environment among individuals.

The present research aims to investigate the impact of “COVID-19 phobia” factors (psychological, social, economic and psychosomatic) on career anxiety and perceived distress. Further, this research assesses whether career anxiety and perceived distress foster or diminish students' employability confidence.

“Partial Least Squares Structural Equation Modeling (PLS-SEM)” has been used to analyze the data.

The results depict that factors (psychological, economic and psychosomatic) are positively and significantly associated with career anxiety and perceived distress. However, social factors indicate an adverse impact on perceived distress. Further, career anxiety and perceived distress positively influence employability confidence, but the associations are not highly impactful.

This research elucidates an unexplored phenomenon in the context of a developing country that coronavirus disease 2019 (COVID-19) phobia scale (i.e. psychological, social, economic and psychosomatic) result in career anxiety and distress. Moreover, no studies highlighted the direct impact of career anxiety and perceived distress on employability confidence.

Social media experience a rapid rise in recent years and steep into almost every aspect of people's lives by altering their lifestyles and creating an impact on their wellbeing. The purpose of the present study is to examine the influence of SNSs on life satisfaction among university students by first exploring what are the key gratifications which motivates them to engage in SNSs and then focusing on the psychological outcomes including social overload and social benefit from using SNSs that affects life satisfaction among the university students.

Theory of social influence and uses and gratifications theory were used in this study to examine the motivations for using SNSs, and the impact of psychological outcomes associated with SNSs usage, i.e. social benefit and social overload on life satisfaction among university students of Pakistan. Partial least squares-structural equation modeling is used to analyze the data.

The outcomes indicate that the need for maintaining interpersonal interconnectivity, entertainment value and social enhancement value derives the students' participation in social networking sites through which they encounter social benefit and social overload. The presence of social benefit enhances life satisfaction while social overload results in decreasing life satisfaction of students. Using social networking sites influences life satisfaction in the presence of social overload and social benefit while there is no direct influence of social networking sites on life satisfaction was evidenced.

The present study investigated the needs that drive the use of social media through the lens of UGT & Social influence approach. The other potential determinants of social media usage intention should be analyzed by employing variables of the other models.In this study social media was examined as a general platform used by the university students of Pakistan. In future researches the driving needs should be examined in the context of specific social networking sites.

The presented findings embraces the implications for the authorities of higher education institutions and policy makers as it provides the useful insights about student 2019s motivations and participation behavior in SNSs which would help in developing strategies for desirable results.

Educational institutions can utilize the research findings by incorporating social media tools in the academic system, student's interaction with their mentors will lead towards enhanced involvement of students and intellectual skills along with upgraded academic performance which will positively influence life satisfaction of the students.

The scarcity of findings was observed in the local environment specifically in the context of SNSs usage and well-being of the higher education students. This study addresses the motivational factors of SNSs usage and their psychological outcomes simultaneously and focused on the investigation of social media usage drivers and its outcomes among the university students of Pakistan.

The emergence of electronic learning during the COVID-19 outbreak has been the way by which higher education has attempted to save the situation. However, e-learning still causes psychological distress because of its crackups and fear. Hence, the authors aim to study the impact of e-learning crackup on fear of academic year loss and psychological distress by incorporating university support as a moderator.

Partial least squares structural equation modeling (PLS-SEM) has been used to analyze data.

The results depict that e-learning crackup fosters students' fear of academic year loss, but e-learning crackup has an insignificant impact on psychological distress. However, psychological distress is driven by fear of an academic year loss. Lastly, university support moderates the relationship between e-learning crackup and psychological distress, but no moderating role exists between fear of academic year loss and psychological distress.

The recent pandemic has severely affected the mental health of students. Therefore, it is crucial to study the reasons that foster distress among them. But, unfortunately, there is a prominent absence of research for inspecting students' psychological distress because of the e-learning crisis, especially in the wake of COVID-19.

This research paper aims to explore asymmetric market efficiency of the 13 Euro countries, i.e. Austria, Belgium, Finland, France, Germany, Greece, Ireland, Italy, Netherland, Portugal, Slovakia, Slovenia and Spain, concerning the period before global financial crisis (GFC), after GFC and period of COVID-19 pandemic.

Multifractal detrended fluctuation analysis (MF-DFA) is applied to examine the persistence and anti-persistency. It also discusses the random walk behavior hypothesis of these 13 countries non-stationary time series. Additionally, generalized Hurst exponents are applied to estimate the relative efficiency between short- and long-run horizons and small and large fluctuations.

The current study results suggest that most countries' markets are multifractal and exhibit long-term persistence in the short and long run. Moreover, the results with respect to full sample confirm that Portugal is the most efficient country in short run and Austria is the least efficient country. However, in long run, Austria appeared to be highly efficient, and Slovakia is the least efficient. In the pre-GFC period, Greece is said to be the relatively most efficient market in the short run, whereas Austria is the most efficient market in the long run. In the case of Post-GFC, Netherland and Ireland are the most efficient markets in short and long run, respectively. Lastly, COVID-19 results indicate that Finland's stock market is the most efficient in short run. Whereas, in the long run, the high efficiency is illustrated by Germany. In contrast, the most affected stock market due to COVID-19 is Belgium.

This study will add value to the present knowledge on efficient market hypothesis (EMH) with the MF-DFA approach. Also, with the MF-DFA approach, potential investors will be capable of ranking the stock markets of Eurozone countries based on their efficiency in the period before and after GFC and then specifically in the period of COVID-19.

本研究旨在探討13個歐元區國家在環球金融危機前後, 以及2019新型冠狀病毒病肆虐時期之不對稱市場效率; 這13個國家包括: 奧地利、比利時、芬蘭、法國、德國、希臘、愛爾蘭、義大利、荷蘭、葡萄牙、斯洛伐克、斯洛維尼亞和西班牙。

研究人員使用多重分形去趨勢波動分析法、來探討持續性與反持續性。這分析法也用來討論正在研究中的13個國家的非平穩時間序列的隨機漫步假說; 而且, 廣義赫斯特指數被用來估算長期/短期投資與大/小波動之間的相對效率。

研究結果間接表明了大部份國家的市場都是多重分形的; 而且, 它們無論以短期抑或以長期來審視觀察, 均能展示持久性。再者, 就整體樣本而言, 研究結果確認了在短期來看, 葡萄牙是效率最高的國家, 而奧地利則效率最低。唯以長期來審視觀察, 奧地利則似乎效率很高, 而效率最低的則是斯洛伐克。在環球金融危機爆發前, 就短期而言, 希臘被認為是相對效率最高的市場, 而長期而言, 效率最高的則是奧地利。至於在環球金融危機爆發後, 就短期而言, 荷蘭是效率最高的市場, 而就長期而言, 效率最高的則是愛爾蘭。最後, 2019新型冠狀病毒病的結果顯示, 就短期而言, 荷蘭的股票市場是效率最高的, 而長期而言, 德國則展示了其高效率性。而受疫情影響最大的股票市場則是比利時。

研究採用了多重分形去趨勢波動分析法、來探討股票市場的效率, 並以此分析法來討論有關國家的非平穩時間序列的隨機漫步假說, 這使我們對效率市場假說有進一步的認識; 就此而言, 本研究為有關的探討增添價值; 而且, 有意投資者在使用多重分形去趨勢波動分析法下, 能夠基於歐元區國家的股票市場在環球金融危機前後, 以及更明確地在2019新型冠狀病毒病肆虐時期的效率, 來把這些股票市場分等級。

環球金融危機、2019新型冠狀病毒病、效率市場假說、多重分形去趨勢波動分析.

Combining an online and traditional mode of learning is a significant challenge for third world countries. To face this challenge, educational institutions around the world adopted the strategies of blended learning (BL). This research aims to determine the factors affecting readiness to diffuse BL in Pakistani higher education institutions.

“Partial least squares structural equation modeling (PLS-SEM)” was used based on a suitable sample of 228 participants in Karachi, Pakistan.

The results reveal that resource support, management strategies (MSs) and technology infrastructure (TI) are positively and significantly associated with readiness to diffuse BL. However, institutional structure (IS) and ethical consideration (EC) have a positive but insignificant link with readiness to diffuse BL.

The research is reasonably required as research in the Karachi Pakistani context is scarce. Additionally, this study analyses the possibility of modern skills and techniques to diffuse BL in higher education in Pakistan.

Green management initiatives are an influential factor for forward-thinking corporations across the globe. Human resource (HR) practitioners find incorporating sustainable development into HR practices a significant challenge, but green initiatives enhance environmental quality. This study aims to analyze the impact of green human resources management (GHRM) practices on hotel environmental performance (HEP) by incorporating environmental knowledge (EK) and individual green values (IGV) as a moderator.

The software Smart PLS has been used for data analysis, and partial least square-structural equation modeling has been used to assess measurement and structural models. Data was gathered from 329 white-collar employees of Pakistan’s guest service hotels.

The results reveal that GHRM practices positively correlate with employees’ affective commitment (EAC) and eco-friendly behavior. Also, employees’ eco-friendly behavior increases HEP, but EAC shows an insignificant association. Moreover, EK does not strengthen the relationship between GHRM practices and EAC and eco-friendly behavior. However, IGV strengthen the relationship between affective commitment and HEP.

The research suggests that management should embrace GHRM practices for better environmental performance. Hotels should ensure that all GHRM attributes, such as green recruitment, training and compensation, are rightly executed. They can help acquire and retain committed and eco-friendly employees whose environmental values and objectives are compatible with the organization.

It will provide insight into the role of the GHRM in fostering EAC and eco-friendly behavior that, in turn, influence environmental performance. Also, the theory of social identity has been incorporated to inspect employees’ behavior along with the moderating role of EK and IGV. It is crucial to understand two essential aspects in a developing country like Pakistan so that the hospitality sector can implement them efficiently in the future: how hotels protect the environment through their green practices and whether employees of a developing country depict eco-friendly behavior and affective commitment on the basis of GHRM.

Collaboration, communication, critical thinking and creativity are the most essential Cs of education. However, at present, these Cs are interlinked with technology to make it more effective and reliable. Educational technology infuses higher education, many people use it on a daily basis. Students are eager to adopt such technologies that help them in academia. Hence, this study aims to investigate how cloud computing adoption influences the academic performance of students by incorporating innovative, knowledge, economic and technological factors in the model.

The data are collected by using the survey method and the five-point Likert scale is used for this purpose. The statistical techniques applied to the data set were confirmatory factor analysis and partial least square structural equation modeling.

All dimensions have been observed to have a positive association with perceived ease of use and perceived usefulness. On the other hand, the innovative factors which include relative advantage and complexity have a negative impact on perceived ease of use and perceived usefulness except for compatibility. Moreover, economic factors, all have a negative relationship. Finally, research shows that perceived ease of use and perceived usefulness have a direct and significant relationship with cloud computing adoption among students, which ultimately predicts their academic performance.

Present research makes the following vital contributions; first, focus on the role of innovative factors, economical, technological and knowledge factors together that were previously largely ignored. Second, it extends the model of technology acceptance model for analyzing the cloud computing adoption pattern among university students. Finally, this study uses PLS-SEM for analyzing the relationship.