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

Chieh‐Peng Lin

Human Resource Development Quarterly2026https://doi.org/10.1002/hrdq.70012article
AJG 2ABDC A
Weight
0.37

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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https://doi.org/https://doi.org/10.1002/hrdq.70012

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@article{chieh‐peng2026,
  title        = {{Revolutionizing Human Resource Development: A Theoretical Framework for Enhancing Effective Human–AI Collaboration}},
  author       = {Chieh‐Peng Lin},
  journal      = {Human Resource Development Quarterly},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1002/hrdq.70012},
}

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

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Evidence weight

0.37

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.16 × 0.4 = 0.06
M · momentum0.53 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

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