Document Type : Research Article (with quantitative approaches)
Authors
1 . Ph.D. student, Department of Public Administration, Qazvin Branch, Islamic Azad University, Qazvin, Iran
2 Assistant Professor , Department of Management, Tehran, shahid Beheshti University, Iran
3 Assistant Professor, Department of Public Administration, Qazvin Branch, Islamic Azad University, Qazvin, Iran
Abstract
In this study we have tried to be check models and theories of job engagement with a comprehensive approach and find the relationship between the two. The purpose of this research is to design and model engaged employee in public sector organizations. It is conducted in a mixed type format (qualitative – quantitative research). Accordingly, in the first part of the study, meta-synthesis qualitative research methods of Sandelowski and Barroso(2007) were used to provide a comprehensive model of the employees with engagement. Thus, after identifying issues, concepts and codes of engaged employees and evaluating its validity and reliability, the initial concept model was prepared. The second section which included the survey evaluation has been produced by experts and content validity (CVR-CVI) and explaining the employees engagement model. Then, in order to making the model applicable and measuring engaged employees' characteristics in governmental agencies, 281 questionnaires were distributed among the staff of Tax Affairs Head Office, The Office of Court Administration and Property and General Directorate of Real Estate in West Azerbaijan province who were selected through random sampling and the needed analysis was performed by confirmatory factor analysis. Finally, in the third part of the study, the mathematical modeling (fuzzy expert system) was used in order to provide the optimal combination of models to optimize the employees with engagement. At last, from different part of the study it can be concluded that the dimensions, components and indicators derived from the meta-synthesis method (research model) was approved by the target population.
Keywords