Spare me the details: How the type of information about automated interviews influences applicant reactions

Избавьте меня от подробностей: как тип информации об автоматизированных собеседованиях влияет на реакции соискателей
Markus Langer, Kevin Baum, Cornelius J. König, Viviane Hähne, Daniel Oster, Timo Speith
2021-05-26

applicant reactionsautomated interviewsorganizational attractivenesspersonnel selectionprocess justification
Abstract Applicants seem to react negatively to artificial intelligence‐based automated systems in personnel selection. This study investigates the impact of different pieces of information to alleviate applicant reactions in an automated interview setting. In a 2 (no process information vs. process information) × 2 (no process justification vs. process justification) between‐subjects design, participants ( N = 124) received respective information and watched a video showing an automated interview. Testing mediation effects via different applicant reaction variables indicated that process justification is better than process information which can even impair applicant reactions. However, information did not increase organizational attractiveness compared to not receiving any information. This study sheds light on what type of information contributes to positive and negative applicant reactions to automated systems.
1
In an automated interview setting, process justification produced more favorable applicant reactions than merely providing process information.
2
Neither process information nor process justification increased organizational attractiveness compared with providing no information.
3
Providing process information without justification could impair applicant reactions to AI-based automated interviews.
4
The study used a 2×2 between-subjects design with 124 participants and assessed mediation through multiple applicant-reaction variables.

AI-based automated interviews in personnel selection

The effects of process information and process justification on applicant reactions and organizational attractiveness

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Publication Date
2021-05-26
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Authors
Markus Langer
Kevin Baum
Cornelius J. König
Viviane Hähne
Daniel Oster
Timo Speith
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