The coronavirus has created significant disruptions and exposed supply chain (SC) vulnerabilities. This crisis started a discussion about SC sustainability and performance. Therefore, the implementation of advanced technologies and supply chain collaboration could mitigate this disruption with the help of government support and policies. Considering this situation, this paper examines how COVID-19 influences advanced technologies (Artificial Intelligence, the Internet of Things, Blockchain, Digital twins, and Big Data Analytics) and supply chain collaboration (SCC) with a moderating role of government support and policies (GSP) in Pakistan. The study encompasses a comprehensive assessment carried out via structural equation modeling and data collected from Pakistani companies engaged in SCM or those operating within the SC divisions of manufacturing enterprises. According to the empirical findings, it is evident that COVID-19 outbreaks have a significant influence on SSCP; However, they do not show a similar impact on advanced technologies (AI, IoT, Blockchain, DT, and BDA) and supply chain collaboration, the influence of COVID-19 on SSCP was effectively mediated through advance technologies (AI, IoT, Blockchain, DT, and BDA) and supply chain collaboration. This research contributes to the existing literature on SSCP by emphasizing the importance of the resource-based view, dynamic capability view, and institutional theories. SC and logistics managers can apply the theoretical framework proposed in this study to mitigate the impact of the COVID-19 epidemic or disruptions in logistics and SC operations, thereby improving profitability in the context of an epidemic.

This research elucidates the importance of Green HRM and Green Intellectual Capital in encouraging eco-friendly practices in the hospitality sector. Additionally, it highlights the value of Green Innovation as a tool to enhance the beneficial impacts of Green HRM and Green Intellectual Capital on environmental performance. A survey was conducted among 257 employees, and the collected data were analyzed using SPSS and Smart PLS. The findings reveal that GHRM and GIC significantly enhance environmental performance, demonstrating the positive effects of green practices on the environment. Furthermore, Green Innovation was found to mediate the relationship between GHRM, GIC, and environmental performance, underscoring the role of innovation in promoting environmental sustainability. This study investigates the impact of Green Human Resource Management (GHRM) and Green Intellectual Capital (GIC) on the environmental performance of firms in the Pakistani hotel industry, focusing on the mediating role of Green Innovation. These results highlight the importance of integrating green practices into HRM and intellectual capital management, as well as the value of innovation in amplifying these efforts. The study’s implications are crucial for hospitality businesses, as they aim to implement sustainable strategies in an increasingly environmentally conscious market.

The present study addresses a closed-loop supply chain under various carbon emission regulation policies. This article involves four key chain partners viz. a single supplier of raw materials, single manufacturer, single retailer, and single collector of the used products from the end users. Depending on the returned goods quality, the collector procures used items from customers. Unlike the existing articles, the manufacturer has two different setups for the production of both items made from newly sourced components and returned goods. A specified portion of fresh and used items goes through the same reworking cycle because the production process for both is flawed. This model has been framed under the carbon tax and the strict carbon cap regulations in order to maintain better environmental stability. A newly developed metaheurestic method namely Atomic orbital search algorithm has been implemented to determine the optimal replenishment planning and acceptance quality level, along with the corresponding numbers of deliveries among the four different chain partners and to improve the supply chain net profit. To assess how carbon regulatory policies affect the best course of action, a numerical analysis of the mathematical models is conducted, followed by a sensitivity analysis of key parameters. This study proposes that the manufacturer should consider implementing a strategy wherein they provide collectors with better rates for used products. By doing so, this is anticipated that the demand rate for these items will increase, leading to improved profitability and raw materials sustainability for the suggested model.

The extended Unified Theory of Acceptance and Use of Technology (UTAUT2) has emerged as a prominent underpinning theory for understanding users’ technology adoption in Islamic cultural contexts. However, the existing literature remains fragmented, and empirical findings are inconsistent. The purpose of this study is to systematically review the extant literature on UTAUT2 in Islamic technology settings and to critically evaluate its theoretical deployment, contextual adaptations, and empirical performance, with the aim of identifying opportunities to advance future research in this area. Guided by the PRISMA protocol and theories–contexts–characteristics–methodologies (TCCM) framework, this study included 38 relevant journal articles retrieved from the Scopus database. Findings indicate that few studies integrate complementary theories to extend UTAUT2, and the research landscape is heavily concentrated in Asian countries. A cross-sectional design dominates the research approach, with PLS-SEM emerging as the prevailing data analysis strategy. The relevance of the core UTAUT2 determinants is mixed. Habit and performance expectancy frequently predict behavioral intention, whereas effort expectancy, social influence, hedonic motivation, facilitating conditions, and price value often exhibit insignificant effects. Trust, religiosity, and compliance are the most commonly incorporated additional constructs. The boundary conditions of associations’ UTAUT2 have largely been overlooked. This review is among the earliest studies of UTAUT2 in Muslim cultural contexts. This study reveals important strengths and shortcomings of existing UTAUT2-based studies in this particular setting. Advancing beyond a descriptive review, this study consolidates current knowledge, identifies methodological and theoretical gaps, and outlines a research agenda to strengthen the Islamic-based UTAUT2 framework.

In the post-pandemic landscape of Indonesia's Small and Medium Enterprises (SMEs) sector, our study delves into the intricate dynamics of employee work performance. We focus on Psychological Capital (PsyCap) and its impact on Individual Work Performance (IWP), comprising Task Performance (TP), Contextual Performance (CP), and Counter-Productive Work Behavior (CPWB), with a particular emphasis on the mediating role of Job Satisfaction (JS). We conducted our research with a diverse sample of 345 participants drawn from various SME sectors, providing a comprehensive insight into employees' behavior across industries. Our analysis utilized the AMOS-Structural Equation Modeling (SEM) approach. The results illuminated a positive correlation between PsyCap and IWP in terms of Task Performance (TP) and Job Satisfaction (JS). However, no significant relationship was found between PsyCap and Contextual Performance (CP) or Counterproductive Work Behavior (CPWB). Furthermore, our study unveiled the mediation role of Job Satisfaction (JS) in these relationships. JS was found to partially mediate the connection between PsyCap and IWP-TP, while it fully mediated the link between PsyCap and IWP-CP. However, Job Satisfaction (JS) did not mediate the relationship between PsyCap and IWP-CPWB. These findings underscore the significance of nurturing Psychological Capital (PsyCap) to enhance Task Performance, Contextual Performance, and Job Satisfaction among employees. We recommend future investigations to explore PsyCap development further, considering variables like demographics and social capital, as they could hold the key to optimizing employee performance in SMEs.