Impact of green human resource management practises on sustainable performance: serial mediation of green intellectual capital and green behaviour

Growing success with sustainability: The influence of green HRM, innovation, and competitive advantage on environmental performance in the manufacturing industry

President Xi set a long-term mitigation target of carbon neutrality by 2060 in September 2020 to cut carbon emissions and improve environmental performance. As a result, the current study aims to investigate how green human resource management and green innovation affect environmental performance in pursuit of the ultimate objective of carbon neutrality. Furthermore, the research considers the potential mediating effect of a green competitive advantage to clarify the mechanisms by which GHRM and green innovation impact environmental performance. Data from 278 employees in the manufacturing industry of Heilongjiang Province were collected through a questionnaire, for which we used a quantitative random sampling technique. The study employed the Smart PLS-4 structural equation modeling technique and revealed that all three factors significantly influenced environmental performance: green HRM, innovation, and competitive advantage. Resource-based view (RBV) theory served as the theoretical foundation for the study. The study uniquely contributes to the literature on GHRM, green innovation, competitive advantage, and environmental performance.

The nexus between green intellectual capital, blockchain technology, green manufacturing, and sustainable performance

Enterprises across the globe are facing increasing pressure to effectively utilize resources and reduce costs through green supply chain practices. Emerging technology, such as blockchain technology which enables green practices, has become a contemporary industrial paradigm. However, enterprises need to build green intellectual capital to implement blockchain technology, which can be key to realizing green supply chain practices. This research examines the impact of green intellectual capital (GIC) on blockchain technology and its role in implementing green manufacturing to achieve sustainability. Partial least squares structural equation modeling was utilized for assessing the proposed hypotheses, and cross-sectional data was accumulated from manufacturing firms. As per the results, GIC, which includes green human capital, green structural capital, and green relational capital has a crucial role in the implementation of blockchain technology. The outcomes also indicated that the adoption of blockchain technology significantly influences green manufacturing. Moreover, green manufacturing (GM) has a substantial role in improving business sustainability. This empirical research provides a deeper understanding of how GIC and blockchain technology contribute to the implementation of GM. This research also provides guidelines that managers, policymakers, and producers can use to facilitate the incorporation of GM practice into business activities.

Unlocking green innovation and environmental performance: the mediated moderation of green absorptive capacity and green innovation climate

This study extends the foundations of the natural resource-based view (NRBV) by introducing a mediation-moderation framework by analyzing the influence of green intellectual capital (GIC) on both green innovation performance (GIP) and environmental performance (EP) while simultaneously considering the mediating role of green absorptive capacity (GAC) and the moderating influence of the green innovation climate (GICL). The data for this study was gathered from a sample of 575 participants employed within small and medium enterprises' (SMEs') manufacturing firms. This dataset was utilized to evaluate the proposed model; this study uses the PLS-SEM approach to comprehensively examine the complex interactions among these variables. This model adds to the theoretical understanding of NRBV and enhances its practical applicability. The findings of this study reveal a positive relationship between GIC, GAC, GIP, and EP within organizations. Furthermore, our investigation reveals a positive correlation between a GICL and the relationships involving GIC, GAC, GIP, and EP. Importantly, this research introduces a novel perspective by clarifying the complex relations among these variables and highlighting the positive correlation between a GICL and the relationships involving GIC, GAC, GIP, and EP. This novel approach enhances the theoretical understanding of NRBV and its practical applicability in fostering GIP and EP within manufacturing SMEs operating in Pakistan.

The influence of green human resource management on employees' green innovation behavior: The role of green organizational commitment and knowledge sharing

Employees' green innovation behavior is a key factor in enterprises' promotion of green development strategies. Combining social information processing and social exchange theory, this article considers workers' green organizational commitment (GOC) as a mediating construct and knowledge sharing as a moderating construct and establishes a model of the influence of green human resource management (GHRM) on workers' green innovation conduct in company settings. An empirical analysis of 436 employees from 28 high-tech enterprises in Fujian Province shows that GHRM has a positive significant bearing on workers' green innovation conduct. Employees' GOC has a positive mediating influence on the interaction between GHRM and employees' green innovation conduct. Employees' knowledge sharing moderates positively the interaction between green organizational commitment and green innovation behavior and moderates the mediating effect of green organizational commitment. Therefore, we propose stimulating employees' green innovation behavior by implementing green GHRM, focusing on green demand and creating a knowledge-sharing atmosphere.