A model of employee commitment based on the self-disclosure approach with an Approach to Improving Productivity
Elham Zolfaghari
1
(
Ph.D. Candidate, Department of Public Management, Faculty of Management and Accounting, Allameh Tabatabaei University, Tehran, Iran
)
Habib Rodsaz
2
(
Associate Professor, Public Management Department, Faculty of Management and Accounting, Allameh Tabatabai University, Tehran, Iran.
)
بهروز رضایی منش
3
(
Associate Professor, Department of Public Management, Faculty of Management and Accounting, Allameh Tabatabaei University, Tehran, Iran
)
Mirali Sayyednaghavi
4
(
. Professor, Public Management Department, Faculty of Management and Accounting, Allameh Tabatabai University, Tehran, Iran.
)
Keywords: Employee Commitment, Self-Disclosure, Thematic Analysis, Structural Equation Modeling,
Abstract :
The purpose of this research is to analyze the factors affecting employee commitment using the self-disclosure approach in the social security organization of Alborz province, Karaj City. The current research is mixed (qualitative-quantitative) regarding the exploratory goal, cross-sectional time, and data collection. The statistical population of the qualitative stage was the chiefs, deputies, and officials of the social security organization of Karaj City in Alborz province, 20 of whom were selected by purposive sampling and the principle of theoretical saturation. The statistical population in a small part included the employees of this organization. The sample size in the quantitative part was determined based on the tenfold rule commonly used in the PLS technique, corresponding to ten times the number of components obtained in the qualitative part (10 components) and equal to 100. The data collection tool in the qualitative phase is the semi-structured interview and in the quantitative phase, the questionnaire is extracted from the results of the qualitative part. For qualitative data analysis, the thematic analysis method of King and Horrocks model(2010), includes three stages of descriptive coding, interpretive coding, and integration through overarching themes, and for quantitative data analysis, the structural equation modeling method And Smart PLS software are used. The results of the research showed that employee commitment has 3 dimensions and 10 components, and the component of recruitment and retention programs has the most importance in the commitment dimension with a weight of 0.8.
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