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One of the salient features of today's competitive world is the widespread use of Information Technology. E-business, which has grown significantly in recent years, has many benefits for organizations, customers and the community. The purpose of this study is to find the best policies to improve the demand response rate in online sales in e-business. In this study, the main variables of the study is identified, using system dynamics and the demand response rate is forecasted and described as the core variable. By creating a simulation model, different policies implemented, and the results and consequences of each are studied. Out of them, only those policies that guarantee the growth and success of the business, in reality, are selected.  

Using System Dynamics, the main variables of an online home food distribution system has been identified and their interrelationships created in the form of cause and effect loops and state-flow model. The data needed to simulate the system, obtained from interviews with business executives as well as internet search, and the model simulated using the Vensim software for 72 months. After validating the model using appropriate tests, to validate the model, the proposed policies implemented, and their results compared with the current performance of the system. For this purpose, SPSS software and paired comparison test used to analyze the data obtained from the simulation and to find the policy that made a significant difference at the 5% error level under conditions of the current system.  

The simulation results of the proposed policies indicated that it is …