Deriving personalized HRM practices using employee-AI collaboration: A shared mental model approach

This study aims to investigate the relationship between shared mental model and personalized HRM practices. The study further investigates the mediating effect of employee-AI between shared mental model and personalized HRM practices. Drawing on industrial and organizational psychology, this study explains cognitive alignment among employees. This improves collaboration with AI systems and supports personalized HRM practices. Data collected from 173 managers working in national and multinational fast-moving consumer goods (FMCG) companies operating in Pakistan. The structural equation modeling technique via Smart PLS-4.1 was employed for the path analyses. The results reveal that the shared mental model is positively associated with personalized HRM practices, and the relationship is mediated by employee-AI collaboration. Our study highlights the significance of having employee competencies in AI systems, through which employees achieve personalized HRM practices. To the best of our knowledge, this is the first study to examine the relationship between shared mental model and personalized HRM practices. The authors integrate a shared mental model with personalized HRM practices through AI collaboration, thereby enriching the HRM and AI literature.

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Publication Details

Journal
Acta Psychologica
Published
2026-05-13
DOI
https://doi.org/10.1016/j.actpsy.2026.107029
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
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article

Deriving personalized HRM practices using employee-AI collaboration: A shared mental model approach

Sadia Noor Awan, Ghulam Muhammad
Acta Psychologica
Ethics and Social Impacts of AI
article

Deriving personalized HRM practices using employee-AI collaboration: A shared mental model approach

Sadia Noor Awan, Ghulam Muhammad
article en

Abstract

This study aims to investigate the relationship between shared mental model and personalized HRM practices. The study further investigates the mediating effect of employee-AI between shared mental model and personalized HRM practices. Drawing on industrial and organizational psychology, this study explains cognitive alignment among employees. This improves collaboration with AI systems and supports personalized HRM practices. Data collected from 173 managers working in national and multinational fast-moving consumer goods (FMCG) companies operating in Pakistan. The structural equation modeling technique via Smart PLS-4.1 was employed for the path analyses. The results reveal that the shared mental model is positively associated with personalized HRM practices, and the relationship is mediated by employee-AI collaboration. Our study highlights the significance of having employee competencies in AI systems, through which employees achieve personalized HRM practices. To the best of our knowledge, this is the first study to examine the relationship between shared mental model and personalized HRM practices. The authors integrate a shared mental model with personalized HRM practices through AI collaboration, thereby enriching the HRM and AI literature.

Acta PsychologicaVol. 267
Mohammad Ali Jinnah University (PK)
Openalex Percentile: Top 5%
Ethics and Social Impacts of AI
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Deriving personalized HRM practices using employee-AI collaboration: A shared mental model approach — Sadia Noor Awan, Ghulam Muhammad · Acta Psychologica (2026) | TGRS Research Map | TGRS