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This study is undertaken to examine the role of information and communication technology (ICT), e-service quality and e-information quality towards brand image of universities by concentrating on students’ e-learning, e-word of mouth and satisfaction.

The target population was the students of public and private universities in Pakistan. Data collected using an e-questionnaire by 408 students were subjected to PLS-SEM for analysis.

Findings revealed that ICT, e-service quality and e-information quality are positively contributed toward students' e-learning which ultimately leads to create positive e-word of mouth and students' satisfaction. Meanwhile, results also identified that e-word of mouth and students' satisfaction lead to generate a positive brand image of universities.

This study has unique implications for universities to develop an e-learning platform to facilitate their students in this situation of COVID-19. It provides guidelines for educational institutions to implement the learning management system effectively with a view to facilitate the students with education.

This study has novel contribution in literature in the domain of digital learning. It is unique in a way to integrate the usage of technology with students' e-learning and satisfaction that ultimately create brand image of universities.

This study aimed to examine the impact of COVID-19 concerns on employees’ well-being, considering workplace stress, aggression, and emotional outcomes, such as emotional engagement, emotional exhaustion, and negative emotional reactions. This study also considers the moderating role of technostress between workplace stress and aggression, which has been overlooked in previous studies.

Data were collected from frontline hotel employees in Turkey. Online data were collected through Amazon Mechanical Turk services. A total of 250 questionnaires were distributed. Nevertheless, only 204 questionnaires with valid responses were usable for analysis through partial least square-structural equation modeling (PLS-SEM).

The analytical findings showed that COVID-19 concerns (financial, social gaze, and technological) cause workplace stress, resulting in aggression. Aggression subsequently affects the employees’ emotional outcomes, impacting their emotional well-being. Furthermore, the results showed that technostress insignificantly moderates workplace stress and aggression.

This study provides valuable practical implications to the hotels’ top management, practitioners, and policymakers to provide preventive measures to employees, such as wearing masks and maintaining distance. Hotel practitioners should limit employees’ direct contact with customers and reduce factors that result in overall financial losses and create financial stress for employees.

The current study examined the relationships between the study’s variables in Turkey’s hotel industry context by employing the conservation of resources (COR) theory. The study investigated stress and aggression phenomena, their impact on employees’ emotional responses, and ultimately their influence on the employees’ well-being.

Recently, a shift regarding the negative consequences of organizational citizenship behaviors (OCBs) has put them forward as employees’ negative aspects carrying dangerous consequences for organizations. Considering this issue’s seriousness, the purpose of this paper is to examine the process through which compulsory citizenship behavior fosters citizenship fatigue.

A total of 370 nurses working in Pakistani public-sector hospitals were this study’s final data set sample using SmartPLS4.

Partial least squares structural equation modeling (PLS-SEM) results revealed that when employees are compelled to engage in extra-role actions, they frequently experience work-life conflict, which results in citizenship fatigue. The higher the employee’s age and the lower the education level, the lower his/her citizenship fatigue. On the other hand, findings revealed that workaholic personality aspects tend to reduce the strength of the relationship between work-life conflict and citizenship fatigue.

To the best of the authors’ knowledge, this paper is the first attempt to examine the recently emerged concept of citizenship fatigue among health-care professionals through conservation of resources theory. Besides, this research will highlight how the demand for voluntary actions in routine or forced citizenship behavior can become the reason for work–family conflict and ultimately create citizenship fatigue. Additionally, this paper presents the novel concept of workaholic personality and how it can play a positive role in the linkage between work–family conflict and citizenship fatigue.

This study is undertaken to examine the antecedents and role of big data decision-making capabilities toward decision-making quality and environmental performance among the Chinese public and private hospitals. It also examined the moderating effect of big data governance that was almost ignored in previous studies.

The target population consisted of managerial employees (IT experts and executives) in hospitals. Data collected using a survey questionnaire from 752 respondents (374 respondents from public hospitals and 378 respondents from private hospitals) was subjected to PLS-SEM for analysis.

Findings revealed that data management challenges (leadership focus, talent management, technology and organizational culture for big data) are significant antecedents for big data decision-making capabilities in both public and private hospitals. Moreover, it was also found that big data decision-making capabilities played a key role to improve the decision-making quality (effectiveness and efficiency), which positively contribute toward environmental performance in public and private hospitals of China. Public hospitals are playing greater attention to big data management for the sake of quality decision-making and environmental performance than private hospitals.

This study provides guidelines required by hospitals to strengthen their big data capabilities to improve decision-making quality and environmental performance.

The proposed model provides an insight look at the dynamic capabilities theory in the domain of big data management to tackle the environmental issues in hospitals. The current study is the novel addition in the literature, and it identifies that big data capabilities are envisioned to be a game-changer player in effective decision-making and to improve the environmental performance in health sector.

Big data analytics capabilities are the driving force and deemed as an operational excellence approach to improving the green supply chain performance in the post COVID-19 situation. Motivated by the COVID-19 epidemic and the problems it poses to the supply chain's long-term viability, this study used dynamic capabilities theory as a foundation to assess the imperative role of big data analytics capabilities (management, talent and technological) toward green supply chain performance.

This study was quantitative and cross-sectional. Data were collected from 374 executives through a survey questionnaire method by applying an appropriate random sampling technique. The authors employed PLS-SEM to analyze the data.

The findings revealed that big data analytics capabilities play a significant role in boosting up sustainable supply chain performance. It was found that big data analytics capabilities significantly contributed to supply chain risk management and innovative green product development that ultimately enhanced innovation and learning performance. Moreover, innovation and green learning performance has a significant and positive relationship with sustainable supply chain performance. In the post COVID-19 situation, organizations can enhance their sustainable supply chain performance by giving extra attention to big data analytics capabilities and supply chain risk and innovativeness.

The paper specifically emphasizes on the factors that result in the sustainability in supply chain integrated with the big data analytics. Additionally, it offers the boundary condition for gaining the sustainable supply chain management.

This study examined the role of green human resource management (GHRM) in the environmental performance of higher education institutes (HEIs). The study also examined the mediating effect of green commitment and green behaviour. Furthermore, the study explored if green self-efficacy (GSE) moderated the relationship between green commitment and green behaviour. The ability, motivation, and opportunity (AMO) theory were employed to explain the relationship between the study's variables.

The study opted for a descriptive study using the convenience sampling technique by collecting data through a survey questionnaire administered to 208 individuals currently employed in Pakistani HEIs. Data collection was undertaken among senior, middle, and top management of the HEIs. The statistical software, partial least square structural equation modelling (PLS-SEM), was used for data analysis.

The results provide empirical insights indicating the positive relation of GHRM practices with environmental performance in HEIs. Changes in employees' behaviour through human resource management practices can ultimately affect the organisations' environmental performance. Besides, the results also demonstrated that GSE moderates the relationship between green commitment and green behaviour. The findings highlight the role of commitment level and GSE in enhancing the environmental performance of HEIs.

The study proposes that HEIs' management take adequate initiatives to implement GHRM practices.

The current study contributes to the literature by empirically examining the indirect double mediation effect of green commitment and green behaviour on GHRM and environmental performance. Furthermore, the moderating effect of GSE, which is an under-explored area, was also studied.

Drawing upon the social exchange and psychological capital literature and applying a multilevel perspective, this paper examines how personal and organizational factors contribute to expatriates' adjustment and performance of international assignments in a terrorism-induced risky environment.

Data were collected using a non-probability sampling approach (e.g. purposive and subsequent snowball sampling). The authors tested the hypotheses using survey data of 138 expatriates with current international assignments in Pakistan.

Expatriates' perceived organizational and risk-taking propensity influences their performance through improved adjustment. Moderating effects suggest that an individual's satisfaction with the received organizational rewards strengthens the risk-taking propensity to adjustment relationship; resilience strengthens the adjustment to performance relationship.

This study extends existing expatriation literature by focusing on a specific type of risk factor pertinent to international assignments, i.e. terrorism. Integrating individual and organizational factors that influence adjustment and subsequent performance provides a clear picture rather if such factors are operationalized separately in the terrorism-induced risky environment context.

This study aims to examine the key entrepreneurial roles (financial literacy, risk tolerance and competency) in the financial performance of small and medium enterprises (SMEs) in Pakistan and the mediating effects of locus of control and spiritual and emotional quotients.

The study data was collected from 541 SMEs in Pakistan (the target population) through a survey and analysed with partial least squares structural equation modelling.

The findings revealed that the key entrepreneurial characteristics were positively related to locus of control and spiritual quotient and elevated the financial performance in entrepreneurship. It was also reported that locus of control and spiritual quotient mediated between key entrepreneurial characteristics and financial performance. In this regard, emotional quotient strengthened the existing relationships between key characteristics, locus of control and spiritual quotient.

This study highlighted sustainable implications for SMEs to develop an effective mechanism and improve financial performance through guidelines that emphasized entrepreneurial characteristics and behaviours towards positive entrepreneurial ventures. This study also enabled policymakers to design policies that catalysed SME performance in Pakistan.

This study contributed a novel concept of key entrepreneurial characteristics by introducing a characteristics tool kit. Consequently, information on a unique framework (by integrating entrepreneurial characteristics and financial performance) and literature on spiritual quotient and locus of control in entrepreneurship were enriched. Contributions to the regulatory focus theory and four-phase Rubicon model in the study context were also made.

At the forefront of current research is the investigation of how big data analytics capability (BDAC) and artificial intelligence capability (AIC) can enhance performance in concert. Therefore, current study intended to conduct more deep research into emerging phenomena and attempts to cover the gap by exploring how entrepreneurial orientations (EO) emphasize the use of two emerging capabilities under the moderating role of environmental dynamism which in turn augment co-innovation and hotel performance.

Data were collected from four-star and five-star hotels located in Kula Lumpur and Langkawi in Malaysia. A total of 260 responses were obtained from IT staff and senior managers with the assistance of a Manpower agency for data analysis. The hypotheses were examined by analyzing the data using PLS-SEM technique through Smart PLS 3 software.

The result revealed that EO has a positive and significant effect on co-innovation (CIN). Additionally, the BDAC and AIC have been tested and proven to be potential mediators between EO and CIN. Also, environmental dynamism as moderator has positive and significant effect on BDAC and co-innovation performance, however, not significant impact on AIC and co-innovation performance. Lastly, findings displayed positive and significant moderated mediation impact of environmental dynamics on BDAC and CIN with hotel performance, but not significant influence on AIC and co-innovation with hotel performance. For theoretical corroboration of the research findings, the current study integrated EO, resource-based view theory and contingent dynamic capabilities (CDC), because neither single stance can explicate an extant research framework.

This study anticipated the several implications for the entrepreneurs of hospitality industry. Managers are recommended to invest in the entrepreneurial traits of the employees/organizations and make strategic readjustment of their capabilities for sustained business performance.

The study goes beyond the normal inquiry by investigating moderated mediation impact of environmental dynamism between two emerging capabilities, co-innovation and hotel performance relationships. Another novelty of this study is to culminate the exploitation and adoption of emerging IT-based capabilities in cross domains of management, entrepreneurship, information systems management within the hotel industry.

This study aims to determine the role of intellectual capital (IC) on financial performance (FP), the mediating effect of high-performance work practices (HPWPs) and the moderating role of big data analytics on the banking sector operating in Pakistan.

This study collected quantitative and cross-sectional data using structured questionnaire forms distributed to selected targeted respondents using a convenient sampling technique. The 518 useable questionnaires were analysed using the SmartPLS software through a structural equation modelling technique to test the proposed research hypotheses.

The study results revealed that IC has shown an impact on FP. The role of HPWP significantly mediates between IC and FP, while the moderating role of big data analytics remains insignificant.

This study highlights IC's role in enhancing FP in the Pakistani banking sector. It will bring a higher quality IC in the banking sector, and they will be better positioned to serve the community. Policymakers need to invest in IC and HPWP and utilise BDA, which will boost FP and uplift the quality of the banking sector.

This study extends the concept of IC and adds the theoretical role of HPWPs and big data analytics in the literature on IC, along with the contextual application. The study also develops a unique role of the integrated IC model theory with a relationship to the banking sector of Pakistan.