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
2021-05-26
SCID: 54.1/spaj8vs3
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applicant reactionsautomated interviewsorganizational attractivenesspersonnel selectionprocess justification
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Abstract (AI)
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.
Key Findings
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.
Research Object
AI-based automated interviews in personnel selection
Research Subject
The effects of process information and process justification on applicant reactions and organizational attractiveness
Publication Details
Publication Date
2021-05-26
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