Connecting the dots between subjective norms, perceived ease of operational use, and intention towards shaping AI adoption strategies for talent acquisition across supply chains

Abstract

Abstract This study aims to conceptually and empirically investigate the role of subjective norms (SN) and perceived ease of operational use (PEU) in influencing the behavioral intention (BI) of human resources (HR) professionals to adopt artificial intelligence (AI) strategies for talent acquisition within the Egyptian banks and across their supply chains. This study applied a quantitative approach by surveying 100 HR professionals within various banks in Egypt through a snowball sampling technique. The hypotheses were subsequently tested using structural equation modeling (SEM). The results indicate that SN and PEU play a significant role in shaping the BI towards AI adoption among HR professionals in the Egyptian banking sector. The findings of this study produce several remarkable multidisciplinary practical implications for AI technology experts, strategic human resources leaders and operations and supply chain managers to develop effective strategies for AI adoption in the Egyptian banking sector and other similar industries and countries. Thereby, this multidisciplinary research contribution is resulted from the integration of the literature of technology adoption (i.e., AI adoption), human resources management (i.e., talent acquisition), and strategic, operations, and supply chain management (i.e., developing functional strategies encompassing the adoption of AI systems with an ease of operational use within organizations and across supply chains).