JOURNAL ARTICLE

Getting interested in interests for employee selection: Key concerns and areas for future research.

  • Published In: International Journal of Selection & Assessment, 2023, v. 31, n. 4. P. 494 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Nye, Christopher D.; Hoff, Kevin A. 3 of 3

Abstract

The paper by Wille and De Fruyt suggests that vocational interests should be used throughout the human resources cycle and provides a useful model that can facilitate the application of interests throughout this process. This commentary builds on their review to discuss the unique benefits and challenges of implementing vocational interests in the employee selection process. Using research from the employee selection literature, we also discuss potential solutions for many of the issues raised by Wille and De Fruyt. Therefore, our commentary is meant to supplement the focal article and answer specific questions about why and how vocational interests can be used in this high‐stakes setting. Practitioner points: This commentary discusses the unique benefits and challenges of implementing vocational interests in the employee selection process.We also elaborate on potential solutions for many of the challenges that arise in this context.We clarify why and how vocational interests should be used for employee selection.We also discuss new ways of designing and developing interest measures that can be administered in high‐stakes settings. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:International Journal of Selection & Assessment. 2023/12, Vol. 31, Issue 4, p494
  • Document Type:Article
  • Subject Area:Business and Management
  • Publication Date:2023
  • ISSN:0965-075X
  • DOI:10.1111/ijsa.12441
  • Accession Number:173665117
  • Copyright Statement:Copyright of International Journal of Selection & Assessment is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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