REFRAMING TRADITIONAL CONFLICT MANAGEMENT THEORIES IN THE CONTEXT OF INDUSTRY 5.0 AND AI-DRIVEN DIGITAL COMMUNICATION

Artificial Intelligence (AI) and digital communication technologies are reshaping interpersonal dynamics and organizational communication patterns, influencing how conflicts are initiated, interpreted, and resolved. Classical conflict management theories—such as the Thomas–Kilmann Model, Rahim’s Organizational Conflict Theory, and Burton’s Human Needs Theory—were primarily conceptualized for face-to-face interactions characterized by visible emotional and behavioral cues. This study revisits these foundational frameworks through the lens of Industry 5.0, which integrates advanced automation with human-centric values, digital empathy, and socio-emotional intelligence. Employing an integrative theoretical approach and analysis of digitally mediated communication environments, this paper proposes the AI-Integrated Conflict Management Model (AICMM), which focuses on algorithmic empathy, adaptive mediation, ethical transparency, and emotional recalibration. Findings indicate that algorithmic intervention, depersonalization, and reduced emotional visibility are reshaping conflict triggers, escalation patterns, and resolution outcomes. The paper concludes by highlighting the need for hybrid human–AI conflict governance that aligns technological innovation with human dignity, psychological safety, and ethical considerations.