Presenting the fuzzy cognitive mapping model of human resource motivation system in fourth generation universities

The fourth generation university is based on educational, research, entrepreneurship and software technology, and the impact of this modern generation of universities is unlikely without motivated human resources.

The purpose of this study was to explain the policy of the country's fourth generation universities towards motivating academic human resources.

This study was based on a mixed qualitative (metasynthesis) and quantitative (FCM) method. In the qualitative stage, 16 concepts have been defined using the theoretical, research and analytical foundations of experts and the analytical model and concepts in Matlab software. The output of the final matrix in the form of high-triangular matrix data for FCM design was entered into Mental Modeler online software and the graphic design model and weights of input, output, degree of centrality and any type of concepts were clarified.

According to the degree of centrality of each concept, professionalization through intelligent specialization as the first factor, excellence based on intra-university transcendence as the second meaningful concept and internationalization through the development of science and technology parks as the third important concept to achieve the optimum policy and use of human resources were introduced in the fourth generation universities of the country. Based on the output of FCM, four scenarios were designed, each of which represented the changes caused by the increase in other components.

Professionalization through intelligent specialization is an important priority in the way of motivating human resources of the fourth generation university.