Designing an AI Mediated Organizational Conflict Model Using Language Based Generative Agents and Intelligent Human Resource Architecture: A Field Study in Knowledge Based and Educational Organizations

Abstract This study develops and empirically validates a novel model of AI-mediated organizational conflict management by integrating language-based generative agents (LGA) with intelligent human resource (HR) architecture in knowledge-based and educational organizations. An exploratory sequential mixed-method design was employed. In the qualitative phase, 21 HR experts and managers were interviewed to identify the key constructs of AI-driven mediation, conflict dynamics, and HR intelligence. The quantitative phase used a sample of 310 employees from 15 knowledge-based organizations. A structured questionnaire was analyzed through Partial Least Squares Structural Equation Modeling (PLS-SEM) using SmartPLS 4.0. Results revealed that language-based generative agents significantly mediate the relationship between organizational conflict and performance (β = 0.47, p < 0.001). Moreover, intelligent HR architecture moderates this relationship, amplifying the positive effect of constructive conflict on innovation and collaboration. The model demonstrates robust reliability (CR = 0.89–0.94) and fit indices (SRMR = 0.054, NFI = 0.91). This research contributes theoretically by integrating AI language models into human-centric conflict frameworks and practically by proposing an applied mechanism for conflict management in AI-enhanced workplaces.

کلیدواژه ها:

Organizational conflict ، Generative agents ، Artificial intelligence ، HR intelligence ، Mediation and moderation ، PLS SEM ، SmartPLS.