Workplace cyberbullying: A multidisciplinary review and agenda for future research in the era of artificial intelligence

Abstract

Workplace cyberbullying (WCB) is a pervasive issue that adversely impacts individuals and organizations, fueled by technological advancements and the ubiquity of digital communication tools. This study conducts a multidisciplinary review of existing WCB research. By analyzing 83 articles, we synthesized key themes, including the attributes of WCB, its technological enablers, emotional drivers, environmental factors, and organizational control mechanisms. We highlight gaps in detecting, preventing, and addressing WCB, with a particular emphasis on leveraging artificial intelligence (AI) technologies. We propose a research agenda exploring how AI can mitigate WCB through multimodal detection, emotional intervention mechanisms, and pattern recognition. Our study underscores the importance of interdisciplinary approaches in addressing WCB and offers actionable insights for future research and organizational practices, aiming to enhance employee well-being and workplace culture.