Understanding of intellectual capital’s influence on the firm performance has received immense interest in recent years. In this view, the impact of various intellectual capital components, including human, structural, and relational capital, on the performance of small- and medium-sized Malaysian manufacturing enterprises were examined. A correlation between intellectual capital and firm performance were established based on the mediating role of innovation capability. To achieve this goal, a stratified sampling method was used wherein 262 participants’ responses from the focused manufacturing firms were obtained and analyzed via the structural equation model (SEM) and resource-based view (RBV). Statistical tools like SPSS.v²⁵ and SmartPLS.v³ were used. The results showed that the relationship between intellectual capital and firm performance was strengthened due to the mediation of innovation capability, thereby gaining higher competitive advantages. It was asserted that the present comprehensive analyses may offer a useful information and guidance to the academics, owners/managers, and policymakers involving the impact of intellectual capital development towards improving the Malaysian SMEs performance.

As businesses and governments increasingly explore innovative strategies to promote pro-environmental behavior, autonomous vehicles (AVs) have emerged as a key initiative for fostering sustainable communities. However, the specific norms—personal, descriptive, and subjective—that influence behavioral intentions regarding AV adoption remain underexplored. This research addresses this gap by integrating the extended theory of planned behavior (TPB) with pro-environmental variables to examine both direct and indirect influences on behavioral intentions. Using Partial Least Squares Structural Equation Modeling (PLS-SEM), the proposed model was validated with data from 516 domestic Chinese tourists. The findings highlight that subjective norms and trust significantly shape positive intentions toward adopting autonomous vehicles. Furthermore, environmental knowledge and concerns exert a significant indirect impact on these intentions, underscoring the complex interplay of factors that drive pro-environmental behavior. These results provide valuable insights for policymakers and practitioners aiming to enhance the acceptance of AVs in China and offer a foundation for future research on the role of norms in technology adoption.

Global environmental concerns have prompted organizations to adopt green human resource management practices that will eventually lead to green innovations. Given that understanding, this study aims to converge multidimensional research published on green human resource management (GHRM) and green innovation. In addition, it seeks to discuss the topic’s research trends in the context of what, how, when, where, and by whom. The data were retrieved from the Scopus database (until March 2023), and VOSviewer was used to investigate the research trends. A total of 312 documents were extracted from the Scopus database, and 46 published articles were finalized using the PRISMA flow approach. The results indicate that there has been an upward trend in terms of published articles on the topic, and the highest number of articles (15) were published in the current year, 2023. The co-occurrence results indicate that GHRM is strongly associated with environmental performance and green innovation. The journals Environmental Science and Pollution Research and Sustainability (Switzerland) stand out in this domain. The Abu Dhabi University of United Arab Emirates is the most cited institution, whereas Saudi Arabia has the highest co-authorship at the country level. Furthermore, this study summarizes the major developments in this research domain and suggests research gaps and possible future directions.