Adoption of Artificial Intelligence in Human Resource Management: An Application of TOE-TAM Model

Abstract

This study assesses HR professionals' inclination towards adopting artificial intelligence within human resource management, utilizing the integrated TOE-TAM Model.

Design/methodology/approach – An online questionnaire was employed to gather data, yielding 329 valid and reliable responses from HR professionals across diverse industries in India. The analysis utilized Smart PLS v.4 software, with statistical testing on the proposed hypotheses.

Findings – The findings from the empirical analysis reveal that the perceived ease of use significantly and strongly predicts perceived usefulness, which subsequently positively impacts the intention to adopt AI. Among the TOE constructs, Relative Advantage and HR Readiness emerge as the most influential and robust predictors of adoption intention.

Research limitations/implications – The study's findings offer numerous theoretical and practical implications that can guide recommendations for researchers, academics, and organizations, aiding in comprehending HR professionals' adoption intentions.

Originality/value – Only a few studies have delved into the intention aspect, and even fewer have precisely measured it among HR professionals. This study stands out for its novel approach, utilizing the TOE-TAM model within the Indian context to gauge HR professionals' intentions. Consequently, this research endeavours to grasp the variables influencing adoption intention and examine the relationships among these factors in human resource management.