This master’s thesis examines the strategic role of Artificial Intelligence (AI) in Human Resource Management, focusing on recruiting processes. Against the backdrop of skills shortages and digital transformation, it analyzes how AI technologies can contribute to optimizing personnel selection. The research employs a mixed-methods approach. The experimental component evaluates three Large Language Models (LLM) in automated application assessment. Additionally, semi-structured interviews with HR professionals were conducted to capture practical experiences and challenges in AI implementation. The study identifies both significant potentials and critical limitations of AI in recruiting. Key areas include efficiency gains, bias management, legal frameworks, and the transformation of the HR role. The study particularly examines how AI systems and HR professionals can effectively collaborate in hybrid approaches. Based on the synthesis of theory and empirical findings, practice-oriented recommendations are derived. These encompass strategic, technical, and organizational aspects for responsible AI integration. The study demonstrates that successful AI implementation in recruiting requires a holistic approach that combines technological capabilities with ethical considerations and human expertise. The findings contribute to understanding the complex interactions between technology and personnel management, providing guidance for organizations seeking to implement AI in recruiting.
| Date of Award | 2025 |
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| Original language | German (Austria) |
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| Supervisor | Silke Preymann (Supervisor) |
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- Information Engineering and -Management
Human Resource Management im Wandel: Die strategische Rolle von KI-Technologien
Schasching, L. J. (Author). 2025
Student thesis: Master's Thesis