Domain Expertise and AI Adoption: Insights into HR Managers’ Unified Perspectives Across Roles and Contexts

Guangming Cao

2025

Abstract

The integration of artificial intelligence (AI) offers transformative potential for human resource management (HRM), yet a significant majority of organizations have yet to adopt AI in HRM practices. While much research focuses on individual-level factors in technology adoption, limited attention has been given to the role of domain-specific expertise in shaping HR managers’ perceptions of AI. This study addresses this gap by exploring HR managers’ attitudes and intentions toward AI adoption and examining whether these perceptions differ by gender, job role, organizational size, or industry. Survey data from 279 HR managers in China, analyzed using ANOVA, reveal a largely positive, uniform view of AI adoption, with no significant differences in demographic or organizational factors. These results suggest that shared expertise within HR may drive a cohesive understanding of AI’s benefits, challenging conventional models that emphasize individual or contextual variability in technology adoption. This study contributes to the theoretical framework of technology adoption by highlighting the role of functional expertise in developing uniformity and provides practical insights for designing AI training and implementation strategies that resonate across diverse organizational settings.

Paper Citation

in Harvard Style

Cao G. (2025). Domain Expertise and AI Adoption: Insights into HR Managers’ Unified Perspectives Across Roles and Contexts. In Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-749-8, SciTePress, pages 732-739. DOI: 10.5220/0013232200003929

in Bibtex Style

@conference{iceis25,
author={Guangming Cao},
title={Domain Expertise and AI Adoption: Insights into HR Managers’ Unified Perspectives Across Roles and Contexts},
booktitle={Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2025},
pages={732-739},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013232200003929},
isbn={978-989-758-749-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - Domain Expertise and AI Adoption: Insights into HR Managers’ Unified Perspectives Across Roles and Contexts
SN - 978-989-758-749-8
AU - Cao G.
PY - 2025
SP - 732
EP - 739
DO - 10.5220/0013232200003929
PB - SciTePress