In this research, the moderating effect of green knowledge sharing was used to investigate the association between green human resources management (green HRM) practices (competence, motivation, and involvement) and environmental performance via employee environmental commitment. Using previously validated metrics, an online survey of 155 academic staff members from 25 Pakistani universities ranked in the UI-Green Metric 2021 for having green campuses was carried out. The findings demonstrated a significant relationship between green HRM practices, employee environmental commitment, and the university’s environmental performance. The correlation between all three green HRM practices and environmental performance was mediated by the employee’s environmental commitment. The findings indicate that in order to improve environmental performance and reach environmental sustainability goals, it is essential to foster green knowledge sharing among employees and increase employee environmental commitment through green HRM practices.

The prevailing research study described in this article is undertaken to investigate how a green transformational leadership style (GTFL) and green human resource management (GHRM) heighten the environmental performance (EP) of small- and medium-sized enterprises. It also focuses on accessing the mediating role of pro environmental behavior (PEB) between GTFL, GHRM, and the EP of the firms. Using a quantitative design of research, data for the study were collected from the small and medium enterprises of Lahore, Pakistan, with a self-administered survey questionnaire. SPSS and AMOS were used for analyzing the data. The various tests, such as structural equation modelling (SEM), correlation, confirmatory factor analysis (CFA), and bootstrapping, were performed to test the hypothesis. The analytical results revealed that GHRM and GTFL lead towards optimizing the EP of the firms. Moreover, the findings shed light on the roles of GHRM and GTFL to engage and motivate the employees for the organization’s ecological betterment by generating PEB in order to reach the EP of the firms. This study will be an extension of the existing body of knowledge by recognizing the predictors of GHRM and GTFL as substantial antecedents of the PEB of employees and the EP of the firms.

In present high-tech era, firms need to possess a variety of capabilities and resources to attain and sustain a competitive position in the market. The motivation for this study was to understand green competitive advantage through the application of Ability-Motivation-Opportunity theory and Natural-Resource-Based view. In a time-lagging longitudinal online survey related to small-and-medium-sized manufacturing enterprises, 223 professionals provided data according to their opinions. The structural and measurement model were designed for analyses. The results supported the model and verify the Green human resource management practices’ influence on green competitive advantage, with partial mediation of green knowledge sharing and green innovation (green product innovation and green process innovation). The analyses revealed the positive highly significant moderation of green human capital, which is the novelty of the study. Green human capital is important to develop sustainable workforce who act as catalyst in achieving sustainable development goals. The report offers practical advice for small-medium manufacturing enterprises (SMMEs) aiming to attain a green competitive advantage. With the help of a green competitive advantage, the recommendations in this study can benefit SMMEs to develop a green human capital and to create innovative knowledge. As a result, it is a futuristic approach to dealing with the improved environmental conditions and developed a green human capital in this industrialized age.

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.

The pressure on businesses to be environmentally conscious and focus on sustainable development is accruing due to environmental challenges. Companies are adopting ecological practices and policies to improve their environmentally friendly performance. To achieve this, organizations must substantiate and change the behavior of workers to align their behavior with the organization's ecological objectives. The study endeavors to integrate research on the responsible style of leaders and green behaviors of employees (in-role and extra-role green behaviors) through the mediation of green shared vision and analyze the moderation mechanism of individual green values. For collecting the data, a questionnaire-based survey was conducted among MBA executive program students with at least a year of experience in manufacturing. Out of the 450 questionnaires distributed, only 307 useful responses were obtained. The collected data has been analyzed using SPSS and AMOS. Ethical standards were followed, and participants were assured that their responses would be confidential. The study found that responsible leadership positively impacts green behaviors among employees. This means that when leaders within an organization demonstrate responsible and environmentally conscious behavior, it tends to encourage employees to engage in green behaviors. The study also discovered that a “green shared vision” partially mediates the relationship between responsible leadership and in-role green behavior. In contrast, green shared vision does not mediate the relation between responsible leadership and extra role green behavior. Moreover, this study also finds that the relationship between green shared vision and in-role and extra-role green behavior is strengthened when individual green values moderate it. The study highlights the importance of responsible leadership and the role of green shared values and individual green values in promoting environmentally friendly behavior in the workplace.

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.