Treffer: Usage of Algorithms in Personnel Selection: A Systematic Review and Computational Analysis.

Objective This paper aims to structure the research addressing the application of artificial intelligence (AI) in human resource management (HRM), with a specific focus on the recruitment process. The goal is to identify which steps in the recruitment process have been in the focus of AI, and to assess in which stages specific algorithms are used. To achieve this, we utilised a taxonomy of AI research. Design / Methodology / Approach The analysis combines a systematic literature review, based on a qualitative content analysis, and computational analysis, using natural language processing. The initial 4,579 studies were sourced from three databases and narrowed down to a total of 502 in a qualitative and iterative process. The computational analysis was performed in a Python environment by applying part-of-speech tagging and the implementation of bidirectional encoder representations from transformers. Findings While AI was introduced relatively late in HRM research, since 2009, most studies have been categorised under the stages "assessment & selection" and "processing incoming applications" in the recruitment process. They mainly focus on ranking candidates and analysing resumes / CVs. The predominately used algorithms were found in the field of natural language processing and machine learning, with bidirectional encoder representations from transformers serving as a bridge between both categories. The computational analysis highlighted the importance of ethics in AI research, thereby contributing to the expansion of the general AI taxonomy used. Practical implications This paper contributes to expanding the general AI taxonomy by incorporating an ethical perspective. Additionally, it highlights which algorithms are predominately represented in research. Consequently, companies should prioritise implementing these algorithms, while research should aim to explore and test alternative options. Originality / Value This study is unique in its approach, being, to our knowledge, the first to comprehensively analyse the use of algorithms used in the recruitment process. [ABSTRACT FROM AUTHOR]

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