Agent-Based Simulation of Banking Service Supply Chain Based on Service-Dominant Logic

Considering the development of services in global economy, redefinition of supply chain management in this context is necessary because the concept of supply chain management cannot be applied to service-oriented businesses. Therefore, this paper aims to identify the banking service supply chain and perform an agent-based simulation using a service dominant logic approach; this is important due to the necessity of developing an applicable model for supply chain management of banking services. This supply chain model is processed through agent-based simulation in Netlogo for 5 banks in privatized and private sectors during 1388-1404, where market share is 32.4%. This model considers the flow of profit and other important parameters related to the customers, the bank, the central bank, and other banks and corporations during the mentioned period. The results of the experiments and analyses in multiple simulation times indicated the variations and changes of the important parameters associated with above-mentioned factors during these years.