J Korean Acad Nurs.  2016 Dec;46(6):824-835. 10.4040/jkan.2016.46.6.824.

Path analysis of the Influence of Hospital Ethical Climate Perceived by Nurses on Supervisor Trust and Organizational Effectiveness

• Noh YG
• Jung MS

• KMID: 2424654
• DOI: http://doi.org/10.4040/jkan.2016.46.6.824

Abstract

PURPOSE
The purpose of this study was to analyze the paths of influence that a hospital's ethical climate exerts on nurses' organizational commitment and organizational citizenship behavior, with supervisor trust as the mediating factor, and verify compatibility of the models in hospital nurses.
METHODS
The sample consisted of 374 nurses recruited from four hospitals in 3 cities in Korea. The measurements included the Ethical Climate Questionnaire, Supervisor Trust Questionnaire, Organizational Commitment Questionnaire and Organizational Citizenship Behavior Questionnaire. Ethical Climate Questionnaire consisted of 6 factors; benevolence, personal morality, company rules and procedures, laws and professional codes, self-interest and efficiency. Data were analysed using SPSS version 18.0 and AMOS version 18.0.
RESULTS
Supervisor trust was explained by benevolence and self-interest (29.8%). Organizational commitment was explained by benevolence, supervisor trust, personal morality, and rules and procedures (40.4%). Organizational citizenship behavior was explained by supervisor trust, laws and codes, and benevolence (21.8%).
CONCLUSION
Findings indicate that managers need to develop a positive hospital ethical climate in order to improve nurses' trust in supervisors, organizational commitment and organizational citizenship behavior.

Keyword

Ethics; Trust; Organizational Efficiency; Nurses

MeSH Terms

Adult
Attitude of Health Personnel
Beneficence
Female
Hospitals/*ethics
Humans
Job Satisfaction
Male
Middle Aged
Nursing Staff, Hospital/*psychology
Nursing, Supervisory
*Organizational Culture
Perception
Social Behavior
Surveys and Questionnaires
Young Adult

Figure

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  Fig. 1 Conceptual framework.

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  Fig. 2 Path of modified model.

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