Investigating the Relationship between Islamic Labor Ethics and the Organizational Commitment of Employees and Its Impact on the Functional Dimensions of Industrial Clusters (Case Study: oil, Gas and Petrochemistry Industrial Clusters in Markazi Province)
Subject Areas : Ethics and Islamic Educationreza yadegari 1 , Kamaleddin Rahmani 2 , Farzin Modarres Khiyabani 3
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Keywords: Islamic Labor Ethics, Organizational Commitment, Functional Dimensions, Industrial Clusters, Structural Equations.,
Abstract :
Each organization is trying to develop and improve the level of organizational commitment and loyalty of its employees in order to obtain sustainable benefits. One of the effective factors, emphasized in various researches, especially in the religious researches, is the role of ethics in achieving this aim. In recent years, ethics has become especially important because of the failure of large companies and crises in various businesses. The main purpose of this study was to investigate the relationship between Islamic labor ethic and organizational commitment and loyalty of employees and its impact on the functional dimensions of industrial clusters. In this research, the statistical population of the survey was the cluster of oil, gas and petrochemistry equipment manufacturers in Markazi province. the sample was selected among managers of companies active in this cluster through the Cochran formula. Data were collected through studying previous study and standard questionnaires and researcher-made questionnaires. To assess the reliability of these questionnaires, Cronbach's alpha test was used. The research hypotheses were tested using the Structural Equation Modeling (VAR) method via Smart PLS software. The results showed that there is a positive and significant relationship between Islamic labor ethic and the functional dimensions of industrial clusters in this statistical population. Also, the organizational commitment of employees plays a mediating role in the relationship between Islamic Labor ethic and functional dimensions of industrial clusters.
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