Study of hiring decisions by companies using text mining: Factors other than experience

Hiromi Asano, Koji Tanaka, Kazuhiko Tsuda

Abstract


This study attempted to clarify the factors that lead to an applicant receiving a job offer, by applying text mining to feedbackcomment of notification form from recruiters. The analysis identified experience as the most salient factor. However, therewere frequent cases in which the applicant was rejected despite the evaluation of experience being positive, or hired despite theevaluation of experience being negative. This paper focuses on the cases in which the result reversed the evaluation of experience.Our conclusions were as follows: 1) in many cases where experience was required, job offers were based on determinants otherthan experience, 2) key determinants that offset the evaluation of experience were motivation, aspiration, youth, and qualifications,3) in jobs requiring experience, offers were made based on knowledge and skill as well as experience, whereas for jobs that didnot require experience, offers were based on age and personality.

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DOI: https://doi.org/10.5430/air.v6n1p16

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Artificial Intelligence Research

ISSN 1927-6974 (Print)   ISSN 1927-6982 (Online)

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