Designing a model for measuring the critical risk of human resources in the capital market based on fuzzy FMEA method and Pareto principle

Document Type : Original Article


1 PhD student, Department of Systems and Productivity Management, Faculty of Industrial Engineering, University of Science and Technology, Tehran, Iran,

2 Assistant professor, Department of Industrial Engineering, Faculty of Industrial Engineering, University of Science and Technology, Tehran, Iran

3 Professor, Department of Industrial Engineering, Faculty of Industrial Engineering, University of Science and Technology, Tehran, Iran

4 Associate Professor, Department of Systems Management and Productivity, Faculty of Industrial Engineering, University of Science and Technology, Tehran, Iran


Working in financial institutions and the capital market is one of the most stressful and sensitive jobs in the world. Given the importance of the role of human resources in the performance and events of the capital market, in this study, an attempt has been made to provide a model for analyzing and measuring the critical risks of human resources based on fuzzy FMEA and Pareto principle in the capital market. For this purpose, in the first step, multiple dimensions of risk were identified by semi-structured interviews with HR experts in the capital market, and factors affecting HR risk were identified and fitted to the model by using structural equation modeling method with Smart-PLS software. In the next step, the risk factors of RPN number were determined by FMEA method, which also used the concept of fuzzy logic to solve this deficiency in order to eliminate the weaknesses of FMEA method and to avoid uncertainty. Finally, human resource risks were measured and identified by Pareto Critical Risks based on the fuzzy FMEA method. The results indicate that the critical human resource risks are unethical behaviors (financial fraud), poor leadership, and inadequate rules and policies in the capital market, respectively.


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