Globally, small and medium-sized enterprises (SMEs) compete and work on their sustainability in order to survive and thrive. SMEs rely only on their internal strength, and this strength lies mainly in their employees. Maintaining employees and their engagement increases productivity not only in terms of employee performance but also in terms of organizational performance. Based on social bond theory, the link between leaders and employees empowers the employees; in this context, the present research addresses how SMEs’ potential effectiveness is derived from the employees when leadership plays its role efficiently and promotes voluntary work among employees. Using a sample of 405 employees from Pakistani SMEs, this paper assesses the effect on them of organizational citizenship behavior and transformational leadership, in terms of engaging them in voluntary work that ultimately improves performance; this helps SMEs flourish domestically and internationally. The present research also expands the literature by examining the mediating effect of organizational citizenship behavior and provides new directions for researchers to study transformational leadership and organizational citizenship behavior.

Drawing on social identity theory, this study aims to examine the impact of antecedents of eWOM on the online purchase intention (OPI) of fashion-related products. In addition, social media usage moderates the relationship between eWOM and OPI. A structured questionnaire was completed by a sample of 477 Chinese WeChat users. An online survey was conducted in two metropolitan cities (Beijing and Shanghai). The hypotheses were tested using structural equation modeling (SEM) generated by AMOS 22. The findings of this study found that all five antecedents of eWOM, such as fashion involvement, sense of belonging, trust, tie strength, and informational influence, positively related to the OPI of fashion products in China. Furthermore, eWOM significantly mediates the relationship between fashion involvement, sense of belonging, trust, informational influence, and OPI. The current study is considered the first to examine the role of eWOM in stimulating OPI through social media usage for fashion-oriented products in China. As such, it enriches the online buying literature by exploring the OPI mechanism through eWOM antecedents and validating the importance of social media factors in the development of online buying intention compared to previous studies. Furthermore, it provides several theoretical and practical implications, along with future opportunities.

Purpose: The purpose of this study is to assess how managerial capability affects artificial intelligence (AI) adoption and employee well-being now in a dynamic context of organizational change. This study investigated the role that managerial capability and organizational support play in facilitating successful AI technology implementation within organizations. The study seeks to provide an integrated perspective on how organizations can help mitigate the effects of AI anxiety and improve the well-being of employees. Design/methodology/approach: A survey questionnaire was administered to collect data from 324 employees and managers working in small- and medium-sized enterprises (SMEs) located in Pakistan. Partial least squares-structural equation modeling (PLS-SEM) was employed using Smart PLS version 4.1.0.3 to analyze the relationships between the study variables. Findings: The findings of the study show that AI anxiety can significantly impact employee well-being. However, the relationship was moderated by organizational support. When organizational support was high, the effects of AI anxiety decline on employee well-being. Originality/value: This study offers three important implications; it adds to our understanding regarding AI adoption and its effect on employee well-being by addressing how managerial interventions may facilitate the smooth integration of AI technology and examining the moderating effect that organizational support might have over the association between anxiety and employee well-being. Additionally, we have offered a nuanced view of the potential impact of AI adoption on employees and offered practical recommendations for organizations to undertake to address AI anxiety and promote employee well-being during AI implementation.