Revolutionizing Human Resource Development: A Theoretical Framework for Enhancing Effective Human–AI Collaboration

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Authors: C.Y. Cynthia Lin
Cited by: 4
References: 55

Abstract

ABSTRACT Human‐AI collaboration has the potential to revolutionize organizational development amid rapid technological changes. By integrating the theoretical foundations of adaptive structuration theory (AST) and affordance actualization theory (AAT), this study proposes a theoretical framework to facilitate effective human‐AI collaboration for organizations in the AI era. These theories complement each other by linking human and AI elements, synergizing the adaptive process of human‐AI collaboration to yield positive outcomes at the individual, team, and organizational levels. Based on the framework, the roles of strategic innovation backing and mentoring styles that intervene in the process are examined. Finally, the study discusses implications and outlines a future research agenda.

Fields of Study & Subjects

Ethics and Social Impacts of AI Job Satisfaction and Organizational Behavior AI in Service Interactions

Publication details

Journal / source
Human Resource Development Quarterly
Publisher
Wiley
Publication date
30 January 2026
Language
EN