ArticleBMC health services research2025
Evaluation and selection of the highest personal factor of nurses' job satisfaction by applying analytical network process methods.
Article in BMC health services research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Development and Psychometric Evaluation of the Nursing Care Motivation Scale: A Methodological Study.Journal of nursing management · 2026Article
- Predicting Professional Identity Among Chinese Nurses Using the Job Demands-Resources Model: A Comparative Machine-Learning Study.Journal of nursing management · 2026Article
- The mediating role of sleep quality in the relationship between professional identity and anxiety symptoms among emergency nurses: a cross-sectional study.Frontiers in public health · 2026Article
- Linking psychological capital to job embeddedness among nurses: evidence from Egyptian public healthcare setting.BMC nursing · 2025Article
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3 authors.
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Abstract
backgroundNurses constitute the majority of the healthcare workforce, and it is imperative to develop a comprehensive understanding of the factors that influence their job satisfaction. While considerable knowledge exists regarding the organizational factors that elicit job satisfaction, limited research has been conducted on personal factors. This study aimed to determine and prioritize the impact of personal factors (motivation, professional identity, and job engagement) on nurses' job satisfaction.
designThis study is a form of applied research conducted in a descriptive-correlational manner, with an emphasis on structural equations.
methodThe statistical population of the present study encompassed all nurses of the public hospitals of Tehran, from which 398 were selected as a sample utilizing multi-stage stratified sampling. The data collection instruments were validated Persian forms of Job Descriptive Index questionnaires, nurses' professional identity, work engagement, and London job motivation. Cronbach's alpha was used to verify the reliability of the instruments, all of which were above 0.7. Descriptive statistics, structural equation modeling, and prioritization and weighting were employed to analyze the data using the Analytical Network Process (ANP) method, utilizing SPSS-23, AMOS-26, and Super Decisions-3.0.
resultsThe findings confirmed the research model and the relationship between personal factors and nurses' job satisfaction. Furthermore, the findings pertaining to the prioritization of personal factors affecting nurses' job satisfaction revealed that professional identity, with a weight of 0.459, had the highest weight and occupied the first position, followed by motivation with a weight of 0.392. Job engagement, with a weight of 0.147, was ranked third.
conclusionThese findings suggest that personal factors can influence job satisfaction, with professional identity being of greater significance. Enhanced job satisfaction may be achieved through the creation of a respectful and equitable work environment, the strengthening of professional identity development programs, and the establishment of a favorable image of the profession.
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