#4496. Changing the means of managerial work: effects of automated decision support systems on personnel selection tasks

August 2026publication date
Proposal available till 16-05-2025
4 total number of authors per manuscript0 $

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Journal’s subject area:
Business, Management and Accounting (all);
Psychology (all);
Business and International Management;
Applied Psychology;
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Abstract:
To enhance the quality and efficiency of information processing and decision-making, automation based on artificial intelligence and machine learning has increasingly been used to support managerial tasks and duties. In contrast to classical applications of automation (e.g., within production or aviation), little is known about how the implementation of automation for management changes managerial work. In a laboratory experiment, participants (N = 122) were randomly assigned to three groups and performed five rounds of a personnel selection task. The first group received a ranking of the applicants by an automated support system before participants processed applicant information (support-before-processing group), the second group received a ranking after they processed applicant information (support-after-processing group), and the third group received no ranking (no-support group). Results showed that satisfaction with the decision was higher for the support-after-processing group. Furthermore, participants in this group showed a steeper increase in self-efficacy in personnel selection compared to the other groups. This study combines human factors, management, and industrial/organizational psychology literature and goes beyond discussions concerning effectiveness and efficiency in the emerging area of automation in management.
Keywords:
Artificial intelligence; Automation in management; Decision support systems; Human-automation interaction; Personnel selection; Work characteristics

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