Background and objective: Adopting a strategic approach in the field of human capital management and human resource planning can be used to transform the strategic goals of the organization into human resource strategies and adapt people to the strategic needs of the organization, both in the short and long term. Accordingly, the purpose of this study is to present the human resource planning model of Mehr Eghtesad Bank using system dynamics. Method: The study is a qualitative research that in terms of purpose is a developmentapplied and in terms of research method, is a descriptive-analytical type that has been performed with Delphi technique. The statistical population of this study consists of 15 human resource planning experts who have executive background in the bank or scientific activity in the university.In this study, a questionnaire and documents in Mehr Eghtesad Bank were used to collect data and in order to analyze the data in this research, Delphi method and system dynamics modeling were used. The identified effective factors on human resource planning in Mehr Eghtesad Bank were used as system boundary variables and a dynamic hypothesis was developed based on causal diagrams and based on it, flowaccumulation diagrams were drawn and formulated. Results: According to experts, employment indicators, staff resignations, workload, new skills, skilled and specialized staff, number of employees, manpower supply, manpower training, training time, training costs, quality of services, variety of services, new bank technology and number of customers Fourteen factors affecting human resource planning in Mehr Eghtesad Bank. The findings of the modeling section show that the parameter of maximum employment in Bank Mehr Eghtesad has a direct relationship with the number of manpower, manpower outflow and training hours. Conclusion: The results of this study, by creating a dynamic system framework, help human resource planning to overcome the limitations of the existing system for human resource planning, and by providing different scenarios for Bank Mehr Eghtesad, provide a suitable decision-making framework for bank managers and them. Enables them to make more appropriate decisions and to predict the system's response to changes in key variables using simulation execution.
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