Structural modeling of organizational silence based on perception of political behaviors and organizational jealousy with the mediating role of job adjustment in Payame Noor University

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Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:

The aim of this study was to structurally analyze organizational silence based on perceptions of political behaviors and organizational jealousy with the mediating role of job adjustment in Payame Noor University of West Azerbaijan Province. This research is applied in terms of purpose and in terms of nature and descriptive method of correlation is causal modeling (structural equation modeling). The statistical population of all staff (faculty and non-faculty) of Payame Noor University of West Azerbaijan Province in 1398 which includes 347 employees. And there are 164 faculty members, which is a total of 511 people. Relative stratified random sampling method that 350 people (216 employees and 138 faculty members) were selected using Morgan table. Four standard questionnaires were used to collect information. Content and structural validity of the questionnaires were confirmed and the reliability of the questionnaires was obtained 0.74 / 0.91 / 0.73 / 0.87, respectively, in order to evaluate the relationships between the latent variables and measured in the conceptual model, from structural modeling. Data were used using SPSS and PLS3 software. The results and findings of the study indicate a significant role between variables, ie between organizational jealousy and organizational silence, between perception of organizational political behavior and organizational silence, between adaptation and organizational silence and direct relationship and There is significance and organizational jealousy on job adjustment is negatively and directly related. The results also confirm the mediating role of job adjustment in the causal relationship between organizational jealousy and organizational silence.

Language:
Persian
Published:
Journal of New Approaches in Educational Administration, Volume:13 Issue: 5, 2023
Pages:
28 to 46
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