Volume 1, Issue 3 (7-2017)                   Iranian Journal of Educational Sociology 2017, 1(3): 89-94 | Back to browse issues page

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(2017). Predicting Collective leadership of governor’s employers through organizational trust & professional ethic. Iranian Journal of Educational Sociology. 1(3), 89-94.
URL: http://iase-idje.ir/article-1-65-en.html
Abstract:   (2564 Views)

Purpose: The aim of the current research was to Predict Collective leadership of governor’s employers through organizational trust & professional ethic. Method: The method of this study was a descriptive and correlational study. Statistical society included all employees of Sistan and Baluchistan Governor who were 140 people. All the society members were considered as the sample of the study. But 11 employees were not volunteer for the study and nearly 9 questionnaires were not completed perfectly so they were omitted and was considered as the missing data. Other remaining persons who were 120 people were considered as the study samples. The same process was employed for all participants. Collective leadership, organizational trust & professional ethic questionnaire was employed for the assessment of the variables. Organizational Trust was assessed using the scales created by Vanhala et al. Findings: Collective leadership was significantly and positively correlated with, organizational trust and professional. Also there was a significant positive correlation coefficient between organizational trust and professional ethic   The results showed that employee’s Collective leadership was predicted by organizational trust (β=.112, p < .05) and & professional ethic. Discussion: Increasing employees trust and ethic capacity through creating collective leadership atmosphere in the organizations and applying new management techniques to improving employee’s skills in their special field can strengthening organizations position and let employee help each other in a collective way to acquire organizational goal.

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Type of Study: Research Article | Subject: Special
Received: 2017/07/13 | Accepted: 2017/07/13 | Published: 2017/07/13

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