Identification of artificial intelligence adoption determinants affecting human resource management effectiveness in the Indian information technology sector

Authors

DOI:

https://doi.org/10.15587/1729-4061.2026.357122

Keywords:

AI adoption in HRM, security/privacy, competitive pressure, Indian IT sector

Abstract

The object of the study focuses on the process of AI adoption in HRM systems in technology-driven organizations of Indian IT sector. Despite a growing investment in AI-enabled HR systems, there is relatively scarce empirical evidence on how organizational and environmental determinants together affect AI adoption and how this translates into actionable workforce effectiveness.

The study addresses this problem by proposing and testing an integrated structural model that investigates organizational preparedness, technological readiness, competitive pressure, and security/privacy concerns in influencing AI adoption and subsequent impact on effective HRM.

To address this problem, an integrated structural model was developed which has been empirically tested through data collected from 378 professionals working in the Indian IT sector and analyzed using partial least squares structural equation modeling. Specifically, the findings indicate that technological readiness (β = 0.464, p = 0.003), competitive pressure (β = 0.308, p = 0.018) and security/privacy concerns (β = 0.303, p < 0.001) are significant predictors of AI adoption, whereas organizational preparedness is not statistically significant in this model. AI adoption has a significant positive effect on effective HRM (β = 0.799, p < 0.001) and explains 63.8% of its variance.

The results show that technology infrastructure and governance assurance, in contrast to mere or formal readiness, explain successful deployment of AI. These outcomes are contingent upon the interaction between technological capability and competitive dynamics and governance mechanisms that permit successful adoption. This study contributes by modelling AI adoption as a strategic mechanism that connects contextual enablers to HRM outcomes instead of adoption intention. The findings are relevant in technologically driven markets that are digitally mature, competitive and sensitive to governance

Author Biographies

Kevin Durai A, SRM Institute of Science and Technology

Pursuing PhD, Research Scholar

Faculty of Management

Anbu A, SRM Institute of Science and Technology

PhD, Assistant Professor

Faculty of Management

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Identification of artificial intelligence adoption determinants affecting human resource management effectiveness in the Indian information technology sector

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Published

2026-04-28

How to Cite

A, K. D., & A, A. (2026). Identification of artificial intelligence adoption determinants affecting human resource management effectiveness in the Indian information technology sector. Eastern-European Journal of Enterprise Technologies, 2(13 (140), 30–39. https://doi.org/10.15587/1729-4061.2026.357122

Issue

Vol. 2 No. 13 (140) (2026): Transfer of technologies: industry, energy, nanotechnology

Section

Transfer of technologies: industry, energy, nanotechnology

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