Designing a Hierarchy Process of Human Resource Motivation in Scientific-Research Systems

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Hosseini Roholah; Khaefelahi Ahmad Ali

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: International Journal of Applied Behavioral Sciences Year:2023 | Volume:10 | Issue:3 Page(s): 31-38

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Information Journal Paper

Title

Designing a Hierarchy Process of Human Resource Motivation in Scientific-Research Systems

Author(s)

Hosseini Roholah | Khaefelahi Ahmad Ali | Issue Writer Certificate

Keywords

Herzberg motivation modelQ4

motivational factorsQ4

Yager fuzzy modelQ4

Interpretive Structural ModelingQ4

Abstract

Background and Aim: Motivation encourages employees to engage in their jobs and, consequently, to achieve organizational goals. So, the purpose of this research is to design a Hierarchy process of human resource motivation in scientific-research organization based on fuzzy Approach. Materials and Methods: The population consists of academic experts. The data analysis was conducted in Yager Fuzzy Space. The present study is a survey and, in terms of objectives, is applied. Additionally, it is descriptive-survey in terms of the data collection method. Results: Based on MD (Fuzzy Degree of Membership), the internal motivation factors have a higher degree of membership compared to external factors, which shows the importance and effectiveness of internal factors in creating motivation, it also shows the applicability of this model according to the current situation. The research findings include the Interpretative Structural Integrated Model at four levels that is consistent with motivational models such as Maslow, Alderfer, and Herzberg. Conclusion: The optimization of service compensation plans is placed at the lowest level and the optimal work environment and the promotion of safety and health are placed at the highest level, i. e. the first level. The higher the elements are, the less their stimulus and the higher their degree of dependency would be. Therefore, the optimal work environment, enhancement of safety and health are the most dependent elements of the model and optimization of service compensation plans is the most driving element of the model

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