Shahid Beheshti University Journal of Industrial Management Perspective 2251-9874 10 1 2020 03 20 Enhancing Diffusion of Innovation through Operational Analysis of Agent-Based Modelling Enhancing Diffusion of Innovation through Operational Analysis of Agent-Based Modelling 117 142 87488 10.52547/jimp.10.1.117 FA Ehsan Abolfathi Ph.D Student, Department of industrial management, Science and Research Branch, Islamic Azad university, Tehran, Iran. Abbas Toloie Eshlaghy Professor, Department of industrial management, Science and Research Branch, Islamic Azad university, Tehran, Iran. Mohammad Reza Hamidi Zadeh Professor, Shahid Beheshti university. Journal Article 2019 12 25 The purpose of this study is to introduce a method to improve innovation diffusion by using agent-based modeling. In this regard, an operational analysis to create agent-based modeling is investigated. agent-based model of this research is carried out in combination with the bass model. in this model, inputs include advertising effects and word-of-mouth effects estimated using the bass diffusion model. output of the model is also the total number of innovation adopters at each time step in the potential market that has been validated after the model has been correspond to real data (diffusion of television in Iran). to be more correspondent to real-world, the agent-based model is developed by preferential attachment-based network. after creating the model, the validation and verification were carried out by experiments and the operational analysis of the agent-based modeling. after model validation, we examine our method (using artificial innovators) for improving the diffusion of innovation. after validating the model, the proposed method for improving innovation diffusion through ten scenarios is investigated. in addition, a proposed criterion for analyzing the output of the innovation diffusion is presented, which is used to analyze the outputs. after the analysis, the method of artificial innovators was effective. The purpose of this study is to introduce a method to improve innovation diffusion by using agent-based modeling. In this regard, an operational analysis to create agent-based modeling is investigated. agent-based model of this research is carried out in combination with the bass model. in this model, inputs include advertising effects and word-of-mouth effects estimated using the bass diffusion model. output of the model is also the total number of innovation adopters at each time step in the potential market that has been validated after the model has been correspond to real data (diffusion of television in Iran). to be more correspondent to real-world, the agent-based model is developed by preferential attachment-based network. after creating the model, the validation and verification were carried out by experiments and the operational analysis of the agent-based modeling. after model validation, we examine our method (using artificial innovators) for improving the diffusion of innovation. after validating the model, the proposed method for improving innovation diffusion through ten scenarios is investigated. in addition, a proposed criterion for analyzing the output of the innovation diffusion is presented, which is used to analyze the outputs. after the analysis, the method of artificial innovators was effective. https://jimp.sbu.ac.ir/article_87488_ace3deb5726afc8988da91dda8627dbb.pdf