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Dr. Alina Köchling

Alina_Köchling

Ehemalige wissenschaftliche Mitarbeiterin

Dr. Alina Köchling

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Akademische Ausbildung

  • 04/17-03/19 Wirtschaftswissenschaftliches Masterstudium an der Universität Rostock mit den Schwerpunkten Personalmanagement und Marketing
  • 07/15-12/15 Auslandssemester an der Flinders University of South Australia, Adelaide
  • 10/13-09/16 Bachelorstudium an der Universität Paderborn 

Publikationen

  • Köchling, A.; Wehner, M.C.; Ruhle, S. (2024): This (AI)n’t fair? Employee reactions to artificial intelligence (AI) in career development. Review of Managerial Science. https://doi.org/10.1007/s11846-024-00789-3
  • Köchling, A. & Wehner, M.C. (2023): Better Explaining the Benefits why AI? Analyzing the Impact of Explaining the Benefits of AI-supported Selection on Applicant Responses. International Journal of Selection and Assessment, 31(1), 45-62. https://doi.org/10.1111/ijsa.12412
  • Köchling, A., Wehner, M.C. ; Warkocz, J. (2022):  Can I show my skills? Affective Responses to Artificial Intelligence in the Recruitment Process. Review of Managerial Science. https://doi.org/10.1007/s11846-021-00514-4
  • Köchling, A., Riazy, S., Wehner, M.C., Simbeck, K. (2021): Highly Accurate, But Still Discriminatory: A Fairness Evaluation of Algorithmic Video Analysis in the Recruitment Context. Business & Information Systems Engineering, 63, 39-54. https://doi.org/10.1007/s12599-020-00673-w.
  • Best Student Paper Award 2021 (CSEDU) für den Beitrag "‘This Student Needs to Stay Back’: To What Degree Would Instructors Rely on the Recommendation of Learning Analytics?" (zusammen mit Linda Mai und Marius Wehner)
  • Best Paper Award for the Big Data, Data Analytics, and new forms of Work Track (EURAM 2021) für den Beitrag "Feeling treated fairly? : Employee Reactions toward AI in Career Development Systems" (zusammen mit Marius Wehner und Sascha Ruhle)
  • Köchling, A., Wehner, M.C. (2020). Discriminated by an algorithm: a systematic review of discrimination and fairness by algorithmic decision-making in the context of HR recruitment and HR development. Bus Res 13, 795–848. https://doi.org/10.1007/s40685-020-00134-w
  • Köchling, A. & Riazy, S.  (2019).  Fluch oder Segen? Big Data und Learning Analytics im Lernkontext. weiter bilden,  (4) , 17–20.