Budzynski, Isabell (2022) Autonomy-Enhanced-Judgement is a Promising Decision-Tool to Improve Hiring Decisions. Examining Believed Stakeholder Perceptions, Predictive Validity and Threat of Technological Unemployment. Master thesis, Psychology.
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Abstract
Robust evidence favours actuarial methods (i.e., using a decision-rule) over holistic methods (i.e., using intuition) in personnel selection. However, hiring decisions are predominantly based on intuition. Reasons for resistance might be that 1) autonomy-restricting nature of decision-rules 2) decision-makers beliefs about stakeholder perceptions when they use decision-rules and 3) the fear of being replaced by an "algorithm". In the current study, we manipulated autonomy in making performance predictions, expecting that autonomy-enhanced judgement would increase use-intentions and predictive validity. 269 Assessment professionals took part in the online experiment. Participants were randomly assigned one condition and made job-performance predictions for 40 applicants. The conditions allowed varying degrees of autonomy: 1) holistic 2) holistic-adjustment 3) designing a decision-rule, and 4) fixed-rule condition with no autonomy. The main finding was that autonomy-enhanced judgement increased predictive validity over holistic judgement. Second, people were aware of how autonomous and competent stakeholders would perceive them (autonomy-enhanced-judgement improved these perceptions). While the relationship with use-intentions needs to be further explored, our results imply that autonomy-enhanced judgement is a promising tool to improve the predictive validity of hiring-decision.
| Item Type: | Thesis (Master) |
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| Supervisor name: | Meijer, R.R. and Neumann, M. |
| Degree programme: | Psychology |
| Differentiation route: | Talent Development and Creativity (TDC) [Master Psychology] |
| Date Deposited: | 02 Jan 2023 07:57 |
| Last Modified: | 02 Jan 2023 07:57 |
| URI: | http://gmwpublic.studenttheses.ub.rug.nl/id/eprint/1503 |
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