Connecting the dots between subjective norms, perceived ease of operational use, and intention towards shaping AI adoption strategies for talent acquisition | ||
| MSA-Management Sciences Journal | ||
| Articles in Press, Accepted Manuscript, Available Online from 01 November 2025 PDF (550.96 K) | ||
| Document Type: Original Article | ||
| DOI: 10.21608/msamsj.2025.434022.1148 | ||
| Authors | ||
| Eman Hassan Rajab; Heba Mohamed Adel* ; Muhammad Salah Nafea | ||
| Faculty of Management Sciences, October University for Modern Sciences and Arts (MSA), Cairo, Egypt | ||
| 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 organisations and across supply chains). | ||
| Keywords | ||
| Artificial intelligence adoption strategies; Talent acquisition; Perceived ease of operational use; Technology-enhanced operations and supply chain management; Strategic Human Resources Management | ||
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