文章基本信息

标题：Organizational Justice and Organizational Citizenship Behavior Case Study: Rasht Public Hospitals
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作者：Mehrdad Goudarzvandchegini ; Shahram Gilaninia ; Rahim Abdesonboli 等
期刊名称：International Journal of Business Administration
印刷版ISSN：1923-4007
电子版ISSN：1923-4015
出版年度：2011
卷号：2
期号：4
页码：p42
语种：English
出版社：Sciedu Press
摘要：Background: In today's competitive world, organizations are constantly seeking new ways to maximize the performance of their employees. Despite the increased use of information technology, there are still gaps in performance and efficient organization. There is strongly idea that the performance of organization largely depends to the efforts of the employees beyond the requirements of the role. These behaviors named as over duties behavior, spontaneous behavior and organizational citizenship behavior. Today, these behaviors are an integral part in performance management and have been entered in organizational various aspects. Researches show that perceived organizational justice is one of the factors that lead to citizenship behavior. Methods: In this research, we used field research technique and for gathering data collection used questionnaires. Statistical population was employees of public hospitals in Rasht that they are 2811 employees. Then, distributed 341 questionnaires based on convenience sampling. Method of research was correlation and for analyzing, we used spss software. Results: This study shows that there is a relationship among dimensions of organizational justice and organizational citizenship behavior in the Rasht public hospitals and due to positive correlation coefficients, it is the direct relationship. Conclusion/Recommendation: Finally, results show that between distributive justice, procedural justice, interactional justice and informational justice with organizational citizenship behavior there is a direct and significant relationship. i.e., with increment of each of the variables, organizational citizenship behavior will increase. In addition, coefficient level between two variables equals to 0.289 and this situation show that independent variable can predict dependent variable extent to 28.9.