Social media applications (SMAs) significantly impact higher education by affecting students, professors, and institutions through various features that may improve learning, communication, and collaboration. However, many studies have focused on the initial use of SMAs, rarely considering their post-adoption and continued usage. Additionally, there are growing concerns about the privacy behaviour of SMA users, which remains inadequately examined. Therefore, this study explores the impact of perceived privacy on the relationship between tripartite quality constructs, user satisfaction, and continual usage using DeLone and McLean’s information system success (ISS) model. This study surveyed 384 SMA users among university lecturers through a convenience sampling approach, and SmartPLS 4, nonparametric software, was used to analyse the data. These findings elucidate the elements affecting SMA usage, suggesting that service and information quality influence continual usage. The tripartite quality constructs correlate with users’ satisfaction, which robustly correlates with continual usage. In addition, perceived privacy influences the links between service quality, system quality, and continual usage. This study finds that perceived privacy is crucial to DeLone and McLean’s ISS model. Hence, information privacy must be ensured to create more secure, functional, and engaging applications. Suppliers and developers should focus on improving app quality, security, and protection, which are precursors to user satisfaction and continual usage. This study examines the moderating role of perceived privacy in DeLone and McLean’s model. Its strong predictive model demonstrates the theoretical robustness of the ISS model for studying the continual usage of SMAs.

The objective of this study was to examine the impact of green supply chain management (GSCM) on sustainable performance (SP) and the mediating role of green knowledge sharing (GKS), green innovation (GI), and big data-driven supply chain (BDDSC) in SMEs of Pakistan as a developing country. Primary data was gathered through adopted questionnaires from SME employees. Four hundred sixty-nine cases were considered for data analysis after data clearing in SPSS version 25. Furthermore, the proposed hypotheses were tested with the help of SmartPLS version 3 through structural equation modeling SEM. Findings revealed all seven direct hypotheses, including GSCM on SP, GKS, GI, and BDDSC and GKS, GI, and BDDSC on SP in SMEs of Pakistan. Moreover, the partial mediation effect of GKS, GI, and BDDSC was also confirmed between GSCM and SP. This study contributes to the context of SMEs in developing countries and recommends findings for future policies and implications at the firm and government levels for better results. Policymakers, SME owners, and managers must support innovation culture, engage their stakeholders, and invest in new products, processes, and business models relevant to addressing environmental and sustainability concerns. Moreover, Pakistan’s government policymakers recognize SMEs’ power to effectively integrate GSCM knowledge sharing, green innovation, GSCM practices, and big data technology into supply chain management.

Objective: The present study aims to explore the relationships between big data analytics capability, circular economy practices, and SMEs’ sustainable performance in Pakistan. It investigates notable factors determining SMEs’ sustainable performance, including employees’ perceived usefulness, data-driven culture, and leadership competency mediating the mentioned relationships. Method: The study employs quantitative research based on a positivist philosophy orientation. Data were collected through a structured questionnaire distributed among the employees of 350 SMEs operating in Pakistan’s different regions. Findings: The study's results demonstrated the direct effects of big data analytics capability on sustainable performance, employee perceived usefulness, and data-driven culture. Additionally, circular economy practices influence sustainable performance; employee perceived usefulness and leadership competency. Finally, the results highlighted that each relationship is subject to partial mediation, which indicates the role of employee-perceived usefulness and data-driven culture in the relationship between big data analytics and sustainable performance and employee-perceived usefulness associated with the relationship between circular economy practices and sustainable performance. Novelty: The present study highlights that all three of the previous topics are consistent and significantly contribute to the existing literature by providing a model with the main factors that determine SMEs’ sustainable performance, which can be sufficient for countries’ developing economies.

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.