Abstract: This study explores the application of artificial intelligence (AI) in the context of Human Resource Management (HRM), specifically within Talent Acquisition Procedures (TAP). In contrast to prior research, it contributes a significant theoretical model to elucidate the effective implementation of AI in TAP. The study focuses on the underexplored impact of the recruitment phase, incorporating the critical perspective of recruitment professionals. It extends technology adoption theory within information systems by integrating insights from HRM literature. Qualitative findings from this study reveal the suitability of AI in specific TAP phases, such as sourcing, pre-screening/pre-selection, and candidate engagement. Notably, there is a discernible reluctance to adopt AI in the TAP pre-planning and interview stages. The study provides current insights to inform HRM practitioners and organizations seeking to integrate AI into their Talent Acquisition Procedures.

Keywords: Artificial Intelligence, Deep Learning, Employment, Machine Learning, Talent Acquisition Procedures, AI/ML.

Works Cited:

Divit Gupta, Anushree Srivastava "Investigating the Use of Artificial Intelligence in Talent Acquisition Procedures", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 12, no. 11, pp. 77-87, 2023. Crossref https://doi.org/10.17148/IJARCCE.2023.121111

PDF | DOI: 10.17148/IJARCCE.2023.121111

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