Abstract
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.
PRACTITIONER SUMMARY
This paper proposes a novel subscale-weighted job satisfaction measurement, indicating a more effective and realistic way of measuring job satisfaction comprising psychosocial risks by integrating MCDM methodology. The proposal’s effectiveness is discussed through different scenarios using the opinions of nearly all employees working for a company in Türkiye.
Acknowledgment
The respondents of the survey are given thanks for their voluntary responses.
Disclosure statement
No potential conflict of interest was reported by the author(s).
Data availability statement
The data that support the findings of this paper is not shared due to privacy or ethical restrictions.