Publikationen

Art der Publikation: Beitrag in Sammelwerk

Hiring Tomorrow's Talents: How Generative Artificial Intelligence Transforms Human Resources Recruitment

Autor(en):
Banh, Leonardo; Rex, Alexander; Strobel, Gero; Urbach, Nils
Titel des Sammelbands:
Proceedings of the 59th Hawaii International Conference on System Sciences (HICSS)
Ort(e):
Maui, Hawaii, USA
Veröffentlichung:
2026
Zitation:
Download BibTeX

Kurzfassung

The global talent shortage has become a universal challenge, prompting practitioners and researchers to explore digital innovations as potential solutions for acquiring the right talents. However, the role of emerging technologies like generative artificial intelligence (AI) in human resources (HR) remains largely uncharted territory. This article investigates generative AI's transformative potential to augment recruiters' daily operations. Through a qualitative interview study, we derive and illuminate the opportunities of generative AI within the recruitment domain, shedding light on its promising opportunities but also addressing inherent challenges. The findings of this study propose a theoretical model of generative AI in recruitment and how it empowers recruiters in their daily tasks to recruit tomorrow's talents.