University of Twente Student Theses
Exploring the Black Box of Machine Learning in Human Resource Management : An HR Perspective on the Consequences for HR professionals
Tomassen, M.E. (2016) Exploring the Black Box of Machine Learning in Human Resource Management : An HR Perspective on the Consequences for HR professionals.
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| Abstract: | From a theoretic point of view, it can be argued that machine learning applications can do the same things as HR professionals can but only better and faster. This paper uses a Delphi study to investigate how machine learning could influence the function of HR professionals. Consequences for HR professionals in terms of responsibilities, tasks, value creation and competencies are identified. It was found that machine learning, alone, does not face HR professionals with an existential threat. The interaction between HR professionals and line and top management holds that the HR professional still has a surplus over machine learning applications. Machine learning, alone, thus supports HR professionals to become a true business partner and provides them with accurate and reliable advice. However, predicting the future is hard and technological developments and possibilities are unprecedented. Therefore, this paper must be seen as a starting point for further research. |
| Item Type: | Essay (Master) |
| Faculty: | BMS: Behavioural, Management and Social Sciences |
| Subject: | 85 business administration, organizational science |
| Programme: | Business Administration MSc (60644) |
| Link to this item: | http://purl.utwente.nl/essays/70791 |
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