Explaining the Prerequisites of Employee Loyalty in Iranian Government Organizations Using Fuzzy Modeling (Implementation in Qazvin Education)

The aim of this study was to explain the loyalty history of education staff using fuzzy logic.

The research was conducted in terms of applied purpose and in a combined (quantitative-qualitative) way. The statistical population consisted of 1200 staff members, teachers and directors of education in Qazvin province, based on the Cochran's formula, 292 people were selected as the sample size in the fall of 1399. In order to collect data, two methods were used: documentary (library, dissertation, Internet) and field (completion of a researcher-made questionnaire) and in interviews, indicators such as gender, education, age were considered. Formal validity and reliability were obtained by Cronbakh's test. Data were analyzed using inferential factor analysis (confirmatory factor analysis and structural equation modeling) with MICMAC software. PLS software was used. Finally, in order to provide the desired combination of model dimensions in order to optimize employee loyalty, mathematical modeling method was used.

The results of the qualitative section showed that 23 components and 47 indicators in the form of 5 dimensions extracted had a positive effect on the loyalty of education staff. The results of a small part showed that the model had a good fit (GOF = 0.39) and according to the fuzzy modeling method, if a proper relationship is established between the personal, professional and organizational dimensions, employee loyalty will be increased by 58%.

Creating an appropriate relationship between the components of personal, job and organizational conditions can predict the needs and values ​​of employees in government organizations and improve their motivation, commitment and dynamism.