Skip to main navigation Skip to search Skip to main content

Beyond Selecting for Performance: Toward a Fit‐for‐Sustainability Model of Personnel Selection

Research output: Journal PublicationsComment / Debate Communicationpeer-review

Abstract

Personnel selection research demonstrates that structured methods reliably predict job performance. Yet this focus has narrowed the criterion space by equating performance at entry with long-term effectiveness. Drawing on Job Demands–Resources theory, I argue that sustainable performance unfolds within dynamic demand–resource systems that simultaneously shape employee well-being. Building on König et al. call to integrate well-being into selection, I propose a Fit-for-Sustainability model that shifts attention from static performance prediction to sustainable effectiveness. The model distinguishes demands–abilities fit at entry from needs—supplies fit, which must be secured through work design, and incorporates regulatory resources—such as proactive personality, self-control, and learning goal orientation—that enable employees to recalibrate fit as demands evolve. Organizational resources provide the regulatory latitude necessary for proactive adjustment. Together, these elements reposition selection as the starting point of continuous demand–resource optimization, advancing a theory of selection for sustainable performance and well-being over time.
Original languageEnglish
Article numbere70068
JournalInternational Journal of Selection and Assessment
Volume34
Issue number2
Early online date12 May 2026
DOIs
Publication statusPublished - May 2026

Bibliographical note

Publisher Copyright:
© 2026 The Author(s). International Journal of Selection and Assessment published by John Wiley & Sons Ltd.

Keywords

  • job demands–resources theory
  • personnel selection
  • person–job fit
  • proactive regulation
  • sustainable performance

Fingerprint

Dive into the research topics of 'Beyond Selecting for Performance: Toward a Fit‐for‐Sustainability Model of Personnel Selection'. Together they form a unique fingerprint.

Cite this