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The career decision-making competence: a new construct for the career realm

Research output: Contribution to journalArticlepeer-review

29 Scopus citations

Abstract

Purpose: This paper aims to link findings from laboratory-based decision-making research and decision-making competence (DMC) aspects that may be central for career-related decision-making processes. Past research has identified individual differences in rational responses in decision situations, which the authors refer to as DMC. Although there is a robust literature on departures from rational responses focused on heuristics and biases (H&B) in decision-making, such evidence is largely confined to group-level differences observed in psychology laboratories and has not been extended to the realm of career development and workforce behavior. Design/methodology/approach: By first introducing the concept of DMC and contextualizing it within organizations and the work environment, the paper outlines a review on recent development concerning debiasing interventions in organizations and provides insights on how these may be effective with regard to organizational performance and individual career development. Findings: The contribution presents a perspective to improve knowledge about career decision-making competence (C-DMC) by presenting an approach linking decision-making research to interventions aiming at managing H&B and systematic misperceptions in career processes. Originality/value: This contribution is one of the few linking decision-making research to the applied context of organizations and of career competences. Moreover, while some research has treated decision-making skills as traits, this contribution provides support to consider them developable as competencies.

Original languageEnglish
Pages (from-to)8-27
Number of pages20
JournalEuropean Journal of Training and Development
Volume41
Issue number1
DOIs
StatePublished - 2017

Keywords

  • Career decision-making competence
  • Debiasing training
  • Decision-making
  • Employability
  • HRM
  • Heuristics and biases

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