Dr Abdozahra Naami, Farideh Ensafdaran, Dr Nasir Dastan, Dr Mohammad Babamiri,
Volume 11, Issue 2 (11-2014)
Abstract
Background and Objective: This study aimed to investigate the relationship between perceived fit of nurses and organizational citizenship behavior.
Material and Methods: The statistical population of this correlational study was all nurses of Shiraz hospitals in 2011. The participants were 170 nurses selected via cluster random sampling and asked to fill out the questionnaires. The data was analyzed by Pearson correlation and regression analysis.
Results: The results indicated that there is a significant positive relationship between all three types of perceived fit and organizational citizenship behavior (P≤0.01). Furthermore, regression analysis showed that variables of person-organization, person-group, and person-job were able to predict 0.274 of organizational citizenship behavior. Person-organization perceived fit was the best predictor of organizational citizenship behavior.
Conclusion: Since the increase of perceived fit has an important role in organizational citizenship behavior, the managers should consider the importance of this issue in their programs.
Narges Khatoon Zabihi Hesari , Zahra Dashtbozorgi , Farideh Hashemiannejad , Khadijeh Hatamipour ,
Volume 15, Issue 1 (2-2018)
Abstract
Background: Mental health is an essential requirement for any profession, especially nursing and plays an important role in improving positive psychological characteristics. Some variables related to mental health can be social capital and organizational citizenship behavior. Thus, the aim of this study was the prediction of mental health based on social capital and organizational citizenship behavior in female nurses.
Methods: This correlational cross-sectional study was carried out on 180 female nurses, selected via simple random sampling, of state hospital in the west of Mazandaran province, 2017. The questionnaires were short form of mental symptoms, social capital and organizational citizenship behavior. Data was analyzed by SPSS-19 software using Pearson correlation and multivariate regression with enter model methods (p≤0.01).
Results: The average age of the participants was 35.94±4.36 years, most of them (90.56%) married and undergraduate education (80.56%). The results showed that social capital (r=-0/381) and organizational citizenship behavior (r=-0/456) have a negative and significant relationship with mental health in female nurses. Given that the high score in mental health questionnaire means low mental health, mental health in female nurses enhances by increasing social capital and organizational citizenship behavior. In addition, both social capital and organizational citizenship behavior variables could predict 25.4 percent of variance of mental health in female nurses and the share of organizational citizenship behavior was higher than social capital (p≤0.01).
Conclusion: The results verified the role of social capital and organizational citizenship behavior in predicting mental health of nurses. Thus, officials should pay attention to the indications of social capital and organizational citizenship behavior to design and implement appropriate programs to improve the mental health of nurses.
