[1]Kiesling, Elmar, et al. "Agent-based simulation of innovation diffusion: a review." Central European Journal of Operations Research 20.2 (2012): 183-230.
[2] Rogers EM (1962). Diffusion of innovations. Free Press, New York
[3]Schramm, M. E., Trainor, K. J., Shanker, M., & Hu, M. Y. (2010). An agent-based diffusion model with consumer and brand agents. Decision Support Systems, 50(1), 234-242
[4] Chatterjee R, Eliashberg J (1990) The innovation diffusion process in a heterogeneous population: a micromodeling approach. Manag Sci 36(9):1057–1079
[5] Milling PM (2002) Understanding and managing innovation processes. Syst Dyn Rev 18(1):73–86
[6] Bonabeau, E. (2002). Agent-based modeling: Methods and techniques for simulating human systems. Proceedings of the National Academy of Sciences, 99(suppl 3), 7280-7287.
[7] Goldenberg J, Libai B, Solomon S, Jan N, Stauffer D (2000) Marketing percolation. Phys A Stat Mech Appl 284(1–4):335–347
[8] Alkemade F, Castaldi C (2005) Strategies for the diffusion of innovations on social networks. Comput Econ 25(1–2):3–23
[9] Delre SA, Jager W, Bijmolt THA, Janssen MA (2010) Will it spread or not? The effects of social influences and network topology on innovation diffusion. J Product Innov Manag 27(2):267–282
[10] Berger T (2001) Agent-based spatial models applied to agriculture: a simulation tool for technology diffusion, resource use changes and policy analysis. Agric Econ 25(2–3):245–260
[11] Heppenstall, A., Evans, A., & Birkin, M. (2006). Using hybrid agent-based systems to model spatially-influenced retail markets. Journal of Artificial Societies and Social Simulation, 9(3).
[12] Kaufmann P, Stagl S, Franks DW (2009) Simulating the diffusion of organic farming practices in two new EU member states. Ecol Econ 68(10):2580–2593
[13] Zhang, T., Gensler, S., & Garcia, R. (2011). A Study of the Diffusion of Alternative Fuel Vehicles: An Agent‐Based Modeling Approach. Journal of Product Innovation Management, 28(2), 152-168
[14] Günther M, Stummer C, Wakolbinger LM, Wildpaner M (2011) An agent-based simulation approach for the new product diffusion of a novel biomass fuel. J Oper Res Soc 62(1):12–20
[15] Kim S, Lee K, Cho JK, Kim CO (2011) Agent-based diffusion model for an automobile market with fuzzy TOPSIS-based product adoption process. Expert Syst Appl 38(6):7270–7276
[16] Fazeli, A., & Jadbabaie, A. (2012, December). Game theoretic analysis of a strategic model of competitive contagion and product adoption in social networks. In Decision and Control (CDC), 2012 IEEE 51st Annual Conference on (pp. 74-79). IEEE
[17]Przybyła, P., Sznajd-Weron, K., & Weron, R. (2014). Diffusion of innovation within an agent-based model: Spinsons, independence and advertising. Advances in Complex Systems, 17(01), 1450004.
[18] Stummer, C., Kiesling, E., Günther, M., & Vetschera, R. (2015). Innovation diffusion of repeat purchase products in a competitive market: an agent-based simulation approach. European Journal of Operational Research, 245(1), 157-167.
[19] Xiao, Y., & Han, J. (2016). Forecasting new product diffusion with agent-based models. Technological Forecasting and Social Change, 105, 167-178.
[20] Miremadi, A., & Faghanie, E. (2012). An empirical study of consumer buying behavior and its influence on consumer preference in Iranian FMCG market: A case study. International Business and Management, 5(1), 146-152.
[21] Amini, M., Wakolbinger, T., Racer, M., & Nejad, M. G. (2012). Alternative supply chain production–sales policies for new product diffusion: An agent-based modeling and simulation approach. European journal of operational research, 216(2), 301-311.
[22] Rand, W., & Rust, R. T. (2011). Agent-based modeling in marketing: Guidelines for rigor. International Journal of Research in Marketing, 28(3), 181-193.
[23] Haghighi, M, Hoseinzadeh, M. (2010). Comparing the Tendency of Consumption of Domestic Products in Tehran with Other Countries and Examining its Effect on Products Evaluation and Preference.
Management Research in Iran, 2010; 13 (4):103-139
[24] Salehi, M., Salari, M. (2017). Comparing data mining and fuzzy logic techniques to identify behavior of customers. Modern Research in Decision Making, 2(3), 173-192.
[25] Hossinzadeh, M., Mehregan, M. (2016). Designing a Multi-Methodology Framework for Operations Research using Social Network Analysis. Modern Research in Decision Making, 1(1), 1-26.
[26] Rahmanseresht H, Tayebi Abolhasani A, Rouhani Rad S. Analysis of Scientific Collaboration Networks of Researchers in the Field of Strategic Management in Iran.
Management Research in Iran, 2019; 23 (3) :1-27
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