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Introducing a Model Organizational Silence Management at the Social Security Organization
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Naser Poursadegh   1, Naser Asghari2 , Saeed Khodabandeh3 |
1- Supreme National Defense University , dr.naser.poursadegh@gmail.com
2- Shahid Sattari University of Aeronautical Engineering
3- Social Security Organization |
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Abstract: (7064 Views) |
| Despite various developments in the public sector in recent years, low productivity of government agencies has been the main concern of Iranian policy makers. Employee silence and indifference towards the fate of an organization and its programs and lack of effective understanding between employees and management is an alarm of imminent reduction in organizational performance affecting the whole society at a macro level. This research attempts to provide a model to cover different dimensions of organizational silence. Organizational silence management is an important part of organizational behavior management which directly affects organizational decision-making. Survey research method and structural equation modeling were used and data were collected using a researcher-made questionnaire. The sample consisted of 354 male and female employees of the headquarters of the Iranian Social Security Organization. The questionnaire was designed on the basis of existing theories and using exploratory factor analysis method in 174 items. Using confirmatory factor analysis method, the components were confirmed and the final model was determined after confirmation of the components and sub-components. The final model offers a way to understand organizational silence and helps managers and policy makers reduce this phenomenon in their organization and create the spirit of work and effort among their staff. Managers can utilize this theory to eradicate organizational silence. This theory helps organization theorists achieve testable hypotheses in more comprehensive research. |
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| Keywords: Organizational silence, organizational management, organizational components, Iranian Social Security Organization, data-based theorizing. |
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Full-Text [PDF 1392 kb]
(4864 Downloads)
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Type of Study: Research |
Received: 2018/01/30 | Accepted: 2018/03/13 | Published: 2017/12/14
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