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January 1, 2026International Journal of Applied Systemic Studies

Navigating AI integration in HRM: qualitative insights from TISM methodology

Vijay Kumar Jain Amit Kumar Deval Anjali Dimri Preeti Sharma Bipin Chandra Kandpal

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Key Points

This research aims to identify and explore the key drivers of AI adoption within human resource management.
Conducted literature review and gathered expert opinions to identify drivers of AI adoption.
Employed Total Interpretive Structural Modelling (TISM) to classify and rank the identified drivers.
Developed a hierarchical structure to visualize the relationships among AI adoption drivers.
Identified sixteen key drivers influencing AI adoption in HRM.
Revealed that HR readiness, technology advancement, and trust issues are critical for successful implementation.
Provided a structured framework to aid decision-makers in promoting AI integration in organizations.

Implication

Qualitative insights identify key drivers of AI adoption in HRM, suggesting pathways for effective implementation.

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Cite This Study

Jain et al. (2026) studied this question.

synapsesocial.com/papers/69d896166c1944d70ce074ae https://doi.org/10.1504/ijass.2026.152686

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