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On the basis of affective events theory, this study aims to examine the connection between work-related events (i.e. supervisor role ambiguity and role conflicts) and abusive supervision via emotion (i.e. supervisor frustration). This study also examines the moderating role of supervisor personality traits (i.e. neuroticism and conscientiousness).

This study collected lagged and multisource field data (472 subordinates and supervisors dyads) from the service organizations.

The data collected supported majority of this study’s hypothesized relationships regarding determinants of abusive supervision.

This study underlines what triggers supervisor abuse. This study also enables organizations with the intervention opportunity to reduce the effects of supervisor role ambiguity, role conflict, negative emotions and personality on triggering abusive supervision.

Prior research on abusive supervision has extensively focused on its outcomes, leaving a noteworthy research gap about what triggers abusive supervision. To fill this important gap in leadership literature, this study proposed and tested a research model of determinants of supervisor abuse. Thus, this study contributes to leadership and abusive supervision research. Implications and future research directions are discussed.

The objective of this research is to examine the association of artificial intelligence (AI) awareness on workers' retention and the boundary conditions in the context of project organizations.

We collected time-lagged data from project organizations in China.

The results showed that AI awareness predicted workers' turnover intention. Moreover, this association was moderated via supervisor support.

This research provides several practical implications aimed at timely communication, training and automation guide for helping firms to foster healthy workplace climate, support and workers’ retention.

The rise of AI and its potential impact on manpower is a popular topic. Yet, the evidence of project workers’ awareness of such potential effects on their retention is scant. Therefore, this study broadens our understanding of the association of AI awareness on turnover intention and boundary conditions in the context of project organizations.

This study aims to explore two main objectives. Firstly, it examines the mediating roles of green human resource management practices (GHRMPs) and green employee creativity (GEC) between green transformational leadership (GTL) and green employee behaviour. Secondly, it investigates the moderating effect of green individual values (GIVs) on the indirect relationship between GTL and green employee behaviour.

The study involved 326 employees from ECOTEL-certified hotels in India. Analysis was conducted using the Statistical Package for Social Sciences (SPSS) AMOS and MACRO.

The results indicate a direct relationship between GTL and green employee behaviour. Additionally, GHRMPs and GEC partially mediate this relationship. Furthermore, GIVs positively moderate the indirect relationship between GTL and green employee behaviour, specifically moderating the path between GHRMPs and GEC.

This study fills a significant gap in the literature by investigating the combined effects of GTL, GHRMPs, GEC and GIVs on employee pro-environmental behaviour. Understanding these relationships is crucial for organizations aiming to implement effective green initiatives and cultivate a culture of environmental responsibility among employees. This study is ground-breaking in its approach, delving into the complex network of interconnected variables through both mediation and moderation analyses. By doing so, it aims to uncover the intricate mechanisms influencing employees' inclination towards pro-environmental behaviour.