Purpose: 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.Design/methodology/approach: 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: 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.Practical implications: This study provides guidelines required by hospitals to strengthen their big data capabilities to improve decision-making quality and environmental performance.Originality/value: 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.

Purpose: The purpose of this study is to examine the impact of Industry 4.0 on economic and environmental performance through the mediation of green supply chain management (GSCM) practices in the emerging economic context, like Pakistan.Design/methodology/approach: This cross-sectional study investigates Industry 4.0 effects on economic and environmental performance through GSCM practices in an emerging economy. For the testing of hypotheses, Smart-PLS is employed. In total, 284 valid responses were analyzed in this study.Findings: The outcomes indicate that GSCM practices mediate the effect of Industry 4.0 on both economic and environmental performance. Also, the results indicate that GSCM practices are positively affected by Industry 4.0.Research limitations/implications: The scope of this study is limited to manufacturing firms in Pakistan. Future studies may explore other variables that could expedite the adoption of GSCM as the concept of GSCM is still in its infancy. Future studies can conceptualize GSCM through resource based theory as mainstream SCM research has largely ignored the synergistic view of resource based approach in conceptualizing green supply chain models. Implications include policy making that emphasis on enhancing environmental knowledge training.Originality/value: According to the best knowledge of the researcher, no study has been conducted regarding the effect of Industry 4.0 on economic and environmental performance through the mediation of GSCM practices in the emerging economy, like Pakistan.

The current study is intended to examine the asymmetric impact of inflation and unemployment on the poverty of Pakistan over the period of 1970 to 2016 by applying asymmetric Autoregressive Distributed Lag (ARDL) cointegration approach. The results revealed the presence of long-run asymmetries among inflation, unemployment and poverty. These findings also confirmed the atypical reaction of poverty to negative and positive shocks in unemployment and inflation. Furthermore, findings also confirmed negative and significant association among health expenditures (HE), population growth and poverty. The findings of the study have relevant implications for policymakers interested in the asymmetric relationship among inflation, unemployment and poverty in Pakistan.

Aim - the purpose of this study is to examine the role of employee rewards, recognition, and job-related stress towards employee performance considering the mediating role of perceived organizational support in the call-centers located in Lahore, Pakistan. Design - The data has been gathered through the survey method of the questionnaire. A simple random sampling technique is used for this study. Confirmatory factor analysis (CFA) and structure equation modeling (SEM) techniques have been used for statistical analysis. Findings - Results showed that employee rewards and recognition have a significant and positive effect on employee performance whereas job stress has a significant and negative effect on employee performance. Findings also revealed that perceived organizational support significantly and fully mediates the relationship between employee rewards, recognition, and job stress and employee performance. So this study puts light on crucial factors that lead to better employee performance. Implications - Employee rewards and recognition play an important role in overall employee performance. If the companies will not take it seriously, then it might lead to negative consequences. On the other hand, job stress also plays a vital role in employee performance.

The purpose of this research is to look into financial management behavior during the COVID‐19. Without a doubt, financial knowledge is an important, but in the COVID‐19, the majority of people are experiencing economic insecurity, which is regarded as unique contribution when testing financial management behavior. Furthermore, Pakistan is an Islamic country, so, financial knowledge, is further subdivided into objective, subjective, and Islamic financial knowledge, with financial wellbeing serving as mediating variable. Pakistan has a diverse population of respondents, this model was tested on university students in Pakistan between the ages of 20 and 40, with the majority of respondents experiencing job and food insecurity as a result of COVID‐19. The research employs a two‐stage method, PLS‐SEM, for reliability checking via composite reliability and average variance extract, and discriminant validity checking via HTMT ratio. According to the findings, Islamic financial knowledge as positive, and other financial knowledge as negative, and economic insecurity (food and job insecurity) also has negative and significant impact on students' financial management behavior. Financial well‐being significantly acts as a bridge between independents and dependent variables. The findings imply that financial knowledge has a significant impact on financial management behavior. Policymakers and administrators should improve information disclosure while promoting financial education in order to foster trust and responsible financial conduct among people.