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February 2, 2026Human Resource Development Quarterly3 citationsOpen Access

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

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CLChieh‐Peng Lin

Key Points

  • The aim is to develop a framework that enhances human-AI collaboration in organizations.
  • Integration of adaptive structuration theory and affordance actualization theory
  • Examination of strategic innovation backing
  • Analysis of mentoring styles influencing collaboration
  • Discussion of implications for organizational development
  • Proposed framework yields positive outcomes at individual, team, and organizational levels
  • Identified strategic innovation and mentoring as key intervention factors

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.

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Cite This Study

Chieh‐Peng Lin (2026) studied this question.

synapsesocial.com/papers/6980feb9c1c9540dea81105bhttps://doi.org/10.1002/hrdq.70012
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