Designing an Optimal Model for Human Resource Flexibility in Social Security Organization with Fuzzy Inference Method

The purpose of this research is to design an optimal model of human resource flexibility in Social Security Organization by fuzzy inference method. The present study was carried out in a composite (qualitative - quantitative) study. Accordingly, in the first part of the research, a Meta - synthesis Sandelowski and Barros (2007) methodology for human resource flexibility has been used. In this way, after identifying the categories, concepts and codes of the human resource brand, the initial conceptual model of the research was formed. In the second part of the research, in order to provide a desirable combination, the components of the model were optimized in such a way that the human resources flexibility could be optimized. The mathematical modeling (fuzzy expert system) was used. The statistical population of the research is in the mathematical modeling stage consisting of academic experts and managers of social security organization of 20 people. The results of the first part of the research show that the initial conceptual model of the research using the Far - Tabib method consists of six main dimensions, eight components and 21 codes (indexes). The results of the research show that if the employees of Social Security Organization, 11. 1 percent to the dimension of functional flexibility, 12. 3 percent to the dimension of communicational flexibility, 34. 6 percent to the dimension of Skillful flexibility, 31. 5 percent to the dimension of Behavioral flexibility, 3. 8 percent to dimension of Cognitive flexibility, 6. 4 percent to the dimension of moralist flexibility then their human resource flexibility is optimized by 60. 9%.