Artificial Intelligence and Blockchain-Enabled Human Resource Analytics for Strategic Workforce Intelligence

Abstract

Purpose. The current research analyses the impact of both AI-based HR analytics and blockchain technology integration on workforce intelligence in knowledge organizations in Islamabad, Pakistan, through the mechanism of decision making based on data analytics.

Design/Methodology/Approach. A cross-sectional and quantitative research design was used for the study. Information was gathered from 325 human resource practitioners, middle-level and top-level managers in banks, information technology firms, telecom companies, and government agencies using a self-completed questionnaire. For testing of the hypothesized relationships, measurement of reliability and validity was done first, then correlation, hierarchical regression analysis, and structural equation modelling.

Findings. The findings show that the use of artificial intelligence HR analytics (β = 0.412, p < .001) and adoption of blockchain technology (β = 0.336, p < .001) both have significant positive influence on decision making driven by data, which further strongly influences SWI (β = 0.489, p < .001). Mediation model explains 61.2% of the variance in SWI.

Practical Implications. These findings create a data-driven framework for human resources managers, digital transformation agents, and policy makers to collaboratively utilize AI and blockchain technology to increase their efficacy in talent prediction, credential validation, and workforce management within the context of developing economies of Pakistan.

Originality/Value. The research contributes to the body of knowledge on digital HRM through empirical validation of an AI-blockchain-SWI framework in Pakistan, which has remained relatively understudied to date, thus expanding the resource-based perspective and dynamic capabilities approach into the age of algorithmic workforce.

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