Predicting Psychological Strain with Job Demands and Organizational Injustice through the Implications of Job Demand-Control Model and Fairness Theory
Predicting Psychological Strain with Job Demands and Organizational Injustice through the Implications of Job Demand-Control Model and Fairness Theory
Author(s): Seçil Bal TAŞTANSubject(s): Psychology
Published by: Editura Lumen, Asociatia Lumen
Keywords: Psychological strain; Role overload; Role conflict; Organizational injustice Nursing; Turkey;
Summary/Abstract: The aim of this study was to investigate the level of psychological strain and the influences of role overload, role conflict, and organizational injustice on psychological strain among Turkish nurses. This study adopted a cross-sectional, quantitative correlational study methodology. The study sample comprised of 251 nurses selected randomly from nursing and administrative services at selected hospitals in Istanbul-Turkey. The data was collected through self-administrated questionnaire. The results revealed that the level of psychological strain, organizational injustice, role overload, and role conflict among nurses was relatively high. It was found that there was a significant, linear and positive relationship between role overload, role conflict, organizational injustice facets and psychological strain. For testing the hypotheses, multiple regression analysis was used to determine how the independent variables predict psychological strain. About 62% variance in psychological strain was explained by role overload, role conflict, and organizational injustice facets. The results also showed that role overload was the strongest predictor to contribute to psychological strain. The findings of this study provide support to the Job-Demand Control Model, Fairness Theory, and Person-Environment Theory and provide both theoretical and practical implications to display the level of psychological strain and workplace stressors among nurses as part of the postmodern organizational problems.
Journal: Postmodern Openings
- Issue Year: 05/2014
- Issue No: 4
- Page Range: 111-143
- Page Count: 34
- Language: English