Designing a Model of a Fuzzy Multi-Level System to Evaluate the Participation of Employees (A Case Study: Qazvin Civil Registration Organization)

Abstract

Background & Purpose: The purpose of this study is to design a model to measure employee engagement in the Qazvin Civil Registration Organization. Methodology: This research is applied in terms of purpose and quantitative in terms of the nature of the data. First, by studying the theoretical literature, the factors affecting employee engagement were identified, and based on that, a conceptual model of the research was designed. Then, in order to measure the level of employee engagement, a hierarchical fuzzy inference system was designed. Findings: Factors affecting employee engagement including motivations of social, emotional, and intellectual engagement were identified. The proposed model was used to evaluate the level of employee engagement in the Qazvin Civil Registration Organization and the results show the performance consistent with the reality of the fuzzy inference system. The results showed that in the first level, emotional engagements are the most important factors, and among the following parameters, quality of work life has the greatest impact on the system output. Conclusion: This research provided a multilevel model for measuring the level of employee participation in the organization, which dynamically traces the output variable according to the values of input variables. This template can be used in various organizations to increase employee participation.

Keywords

• civil registration organization
• hierarchical fuzzy inference system
• employee participation
• governmental organization
• human resources management