A MCDM-based measurement proposal of job satisfaction comprising psychosocial risks

Sarbat İ.

ERGONOMICS, vol.0, no.0, pp.1-16, 2024 (SCI-Expanded)

  • Publication Type: Article / Article
  • Volume: 0 Issue: 0
  • Publication Date: 2024
  • Doi Number: 10.1080/00140139.2024.2361301
  • Journal Name: ERGONOMICS
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Social Sciences Citation Index (SSCI), Scopus, IBZ Online, PASCAL, Periodicals Index Online, Aerospace Database, Applied Science & Technology Source, CINAHL, Communication Abstracts, Compendex, Educational research abstracts (ERA), EMBASE, Index Islamicus, INSPEC, Metadex, Psycinfo, Civil Engineering Abstracts
  • Page Numbers: pp.1-16
  • Dokuz Eylül University Affiliated: Yes


Preserving human well-being has become challenging for businesses, which continue efforts to overcome managing business processes concurrently, due to the cumulative effects of psychosocial risks at work that may seriously impair one’s health. By focusing on this need, this paper proposes a more effective and realistic way of measuring job satisfaction comprising psychosocial risks by integrating multi-criteria decision-making (MCDM) methodology. Simplified PIvot Pairwise RElative Criteria Importance Assessment (PIPRECIA-S), i.e. the selected MCDM method, is used for weighting domains based on the opinions of employees working for a company in Türkiye, who also provide their attitudes towards job satisfaction through 36 items of Job Satisfaction Survey (JSS). This paper uses nine subscales of JSS to represent domains relevant to psychosocial risks. Three developed scenarios discuss the effectiveness of the proposed subscale-weighted job satisfaction measurement by presenting the subscales having different ranges in standard scores relative to the subscale-weighted scores.