Abstract
This paper presents an Agent Based Modeling Framework that can be used to model any internet based business. The model captures the unique characteristics that define how online users interact, share information, and take product adoption decisions. This model can be used to simulate business performance, make business forecasts, and test business strategies. To demonstrate the model, we have applied it to Facebook as well as a leading Portuguese online classifieds website – CustoJusto.pt. Through a number of cases, we have simulated the growth forecasts, its impact by changes in pricing, and changes in the Business Model itself.
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References
Aliprantis, D., Tesfatsion, L., Zhao, H.: An Agent-Based Test Bed for the Integrated Study of Retail and Wholesale Power System Operations.…technology for energy systems (2010)
Bellman, S., Murphy, J., Treleaven-Hassard, S., O’Farrell, J., Qiu, L., Varan, D.: Using Internet Behavior to Deliver Relevant Television Commercials. Journal of Interactive Marketing 27(2), 130–140 (2013), doi:10.1016/j.intmar.2012.12.001
Brown, J., Broderick, A.J., Lee, N.: Word of mouth communication within online communities: Conceptualizing the online social network. Journal of Interactive Marketing 21(3), 2–20 (2007), doi:10.1002/dir.20082
Cao, Y., Chen, X.: An agent-based simulation model of enterprises financial distress for the enterprise of different life cycle stage. Simulation Modelling Practice and Theory 20(1), 70–88 (2012), doi:10.1016/j.simpat.2011.08.008
De Bruyn, A., Lilien, G.L.: A multi-stage model of word-of-mouth influence through viral marketing. International Journal of Research in Marketing 25(3), 151–163 (2008), doi:10.1016/j.ijresmar.2008.03.004
Delre, S.A., Jager, W., Bijmolt, T.H.A., Janssen, M.A.: Targeting and timing promotional activities: An agent-based model for the takeoff of new products. Journal of Business Research 60(8), 826–835 (2007), doi:10.1016/j.jbusres.2007.02.002
Diao, J., Zhu, K., Gao, Y.: Agent-based Simulation of Durables Dynamic Pricing. Systems Engineering Procedia 2, 205–212 (2011), doi:10.1016/j.sepro.2011.10.024
Docters, R., Tilstone, L., Bednarczyk, S., Gieskes, M.: Pricing in the digital world. Journal of Business Strategy 32(4), 4–11 (2011), doi:10.1108/02756661111150927
Gallagher, S., West, J.: Reconceptualizing and expanding the positive feedback network effects model: A case study. Journal of Engineering and Technology Management 26(3), 131–147 (2009), doi:10.1016/j.jengtecman.2009.06.007
Goldenberg, J., Libai, B., Muller, E.: The chilling effects of network externalities. International Journal of Research in Marketing 27(1), 4–15 (2010), doi:10.1016/j.ijresmar.2009.06.006
Grewal, D., Janakiraman, R., Kalyanam, K., Kannan, P.K., Ratchford, B., Song, R., Tolerico, S.: Strategic Online and Offline Retail Pricing: A Review and Research Agenda. Journal of Interactive Marketing 24(2), 138–154 (2010), doi:10.1016/j.intmar.2010.02.007
Ikeda, Y., Kubo, O., Kobayashi, Y.: Forecast of business performance using an agent-based model and its application to a decision tree Monte Carlo business valuation. Physica A: Statistical Mechanics and its… 344(1-2), 87–94 (2004), doi:10.1016/j.physa.2004.06.093
Kim, S., Lee, K., Cho, J.K., Kim, C.O.: Agent-based diffusion model for an automobile market with fuzzy TOPSIS-based product adoption process. Expert Systems with Applications 38(6), 7270–7276 (2011), doi:10.1016/j.eswa.2010.12.024
Kuhn, J.R., Courtney, J.F., Morris, B., Tatara, E.R.: Agent-based analysis and simulation of the consumer airline market share for Frontier Airlines. Knowledge-Based Systems 23(8), 875–882 (2010), doi:10.1016/j.knosys.2010.06.002
Lee, H., Shin, H., Hwang, S., Cho, S., MacLachlan, D.: Semi-Supervised Response Modeling. Journal of Interactive Marketing 24(1), 42–54 (2010), doi:10.1016/j.intmar.2009.10.004
Montgomery, A.: Applying quantitative marketing techniques to the Internet. Interfaces (2001)
North, M., Macal, C.: Managing business complexity. Discovering strategic solutions with agent-based…(2007)
Stonedahl, F., Rand, W., Wilensky, U.: Multi-Agent Learning with a Distributed Genetic Algorithm Exploring Innovation Diffusion on Networks. In: Proceedings of the ALAMAS+ALAG Workshop at AAMAS 2008, pp. 2–9 (2008)
Teece, D.J.: Business Models, Business Strategy and Innovation. Long Range Planning 43(2-3), 172–194 (2010), doi:10.1016/j.lrp.2009.07.003
Vanhaverbeke, L., Macharis, C.: An agent-based model of consumer mobility in a retail environment. Procedia - Social and Behavioral Sciences 20, 186–196 (2011), doi:10.1016/j.sbspro.2011.08.024
Wendel, S., Dibble, C.: Dynamic agent compression. Journal of Artificial Societies and Social…(2007)
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Zutshi, A., Grilo, A., Jardim-Gonçalves, R. (2014). A Dynamic Agent-Based Modeling Framework for Digital Business Models: Applications to Facebook and a Popular Portuguese Online Classifieds Website. In: Benghozi, P., Krob, D., Lonjon, A., Panetto, H. (eds) Digital Enterprise Design & Management. Advances in Intelligent Systems and Computing, vol 261. Springer, Cham. https://doi.org/10.1007/978-3-319-04313-5_10
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DOI: https://doi.org/10.1007/978-3-319-04313-5_10
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-04312-8
Online ISBN: 978-3-319-04313-5
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