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AI in Recruiting- Exploring the Impact of AI-Evaluated Job Interviews on Intention to Apply

  • AI in recruiting is used more and more in recruiting and for the evaluation of job interviews. Research has focused mainly on companies' side of AI implementation in recruiting. However, changes in demographics also make it important to look at it from the viewpoint of candidates. This thesis aims to explain how the perception of AI-evaluated job interviews influences the intention to apply. A survey is used as a data collection method with a sample of 105 participants. The results revealed that the perception of AI-evaluated job interviews positively influences the intention to apply in terms of organizational attractiveness, while anxiety negatively influences the intention to apply. However, in general, the positive effect is stronger. Other factors such as trust, fairness, intrinsic motivation, and novelty have no significant effect on the intention to apply.

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Metadaten
Author:Gamze Cebeci
Advisor:Melanie Seemann
Document Type:Bachelor Thesis
Language:German
Year of Completion:2024
Granting Institution:Hochschule Furtwangen
Release Date:2024/02/28
Tag:Artificial intelligence; Job interview; Recruiting
Degree Program:IBM - International Business Management
Functional area:Human Resource Management
Licence (German):License LogoUrheberrechtlich geschützt