Research project Management Analytics
We conduct research projects in the areas of digital marketing and human resource management.
Project: AI in Recruiting
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Initial situation: Data analysis using artificial intelligence methods (such as machine learning) offers opportunities for optimizing HR processes, particularly in recruiting (Garg et al., 2022).
Goal: In the feasibility study "AI in Recruiting", we research how HR decision-makers can be supported by means of machine learning during the application process. The main focus is on the text-based analysis of personality traits, as well as the applicant's intent, authorship, and data consistency.
Approach: During the feasibility study, real application data (cover letter, short video, questionnaire survey) will be collected and subsequently analyzed using different methods of inferential statistics and machine learning.
Funding source: Adecco Foundation for Work and Social Life
Duration: 01.01.2023 - 31.12.2024
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12th Wildau Science Week (Christin Buley, Marcel Herold, Prof. Marc Roedenbeck, Prof. Rainer Stollhoff 02/2023 | Poster)
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Publications
Roedenbeck MRH, Qari S & Herold M (2021): Artificial Intelligence in Recruiting - Performance Comparisons of (Un-)Supervised Learning Approaches with Application Documents, in Barton T, Müller C & Seel C (Eds.): Applied Business Informatics. Springer Vieweg: Wiesbaden (pp. 219-237).
Roedenbeck MRH (2020): Asking the Right Questions - How Artificial Intelligence Can Change Human Resources, Journal for Organizational Development, 2020(1): pp. 64-69.
Theses & Projects
Eckert M. (2023). Potentials of artificial intelligence in recruitment processes - Allocation of desired personality traits in job advertisements to a primary model of personality theory. Master's thesis.
