In search of Formation signs and factors of creating the phenomenon of Silence Expectancy the transfer of the managers of the in Ministry of Interior

Document Type : Research Article

Authors

1 Lorestan University

2 Prof, Department of Business Management, Lorestan University, Khoramabad,Iran

3 Ilam University

4 Professor, Department of management, Lorestan University, Khorramabad, Iran

5 Ilam Univerwsity

10.22059/jomc.2024.373534.1008649

Abstract

Purpose: in this research, we have sought to identify the symptoms and causes of the phenomenon of silent waiting from the point of view of experts in the western governorates of the country.

Methodology: This research is based on the exploratory mixed method. The qualitative part has been done through systematic transcription foundation data analysis and the quantitative part has been done using structural equation modeling. The participants in the research were a number of experts in the western governorates of the country, including Ilam, Kermanshah, Kurdistan, Lorestan and Hamedan, and a semi-structured interview was conducted with 18 of them considering the theoretical sampling method. . After obtaining confidence and trust in the emerging categories and confirming them, a questionnaire was designed to test the model, whose validity and reliability were checked with known indicators. After verifying the validity of this step, quantitative data analysis with SmartPLS software showed that causal factors have a significant effect on the emergence of the central phenomenon.

Findings: we found that the five components of the preferred context of colleagues, the preferred context of managers, organizational helplessness, dysfunctional culture and bureaucratic atmosphere and waiting mental preoccupations as the causal causes in the emergence of a central phenomenon with four indicators of strategic patience, Political Prudence, Political concealment and strategic panic have played a role. After validating qualitative data, quantitative data analysis with SmartPLS software showed that causal factors have a significant effect on the emergence of the central phenomenon.

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