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A mathematical model for the customer dynamics based on marketing policy. (English) Zbl 1410.91323

Summary: We consider a compartmental model to study the evolution of the number of regular customers and referral customers in some corporation. Transitions between compartments are modeled by parameters depending on the social network and the marketing policy of the corporation. We obtain some results on the asymptotic number of regular customers and referral customers in several particular scenarios. Additionally, we present some simulation that illustrates the behavior of the model and discuss its applicability.

MSC:

91B42 Consumer behavior, demand theory
34C60 Qualitative investigation and simulation of ordinary differential equation models
37N40 Dynamical systems in optimization and economics

References:

[1] Artzrouni, M.; Tramontana, F., The debt trap: A two-compartment train wreck...and how to avoid it, J. Policy Model., 36, 241-256 (2014)
[2] Bansal, H. S.; Voyer, P. A., Word of mouth processes within a services purchase decision context, J. Serv. Res., 3, 2, 166-177 (2000)
[3] Brauer, F.; van den Driessche, P.; Wu, J., Mathematical Epidemiology. Mathematical Epidemiology, Lecture Notes in Mathematics 1945 (2008), Springer · Zbl 1159.92034
[4] Bone, P. F., Word of mouth effects on short-term and long-term product judgements, J. Bus. Res., 32, 3, 213-223 (1995)
[5] Godes, D.; Mayzlin, D., Using online conversation to study word-of-mouth communication, Mark. Sci., 23, 4, 545-560 (2004)
[6] Kiss, C.; Bichler, M., Identification of influencers-measuring influence in customer networks, Decis. Support Syst., 46, 1, 233-253 (2008)
[7] Kumar, V., CLV: the databased approach, J. Relatsh. Mark., 5, 2-3, 7-35 (2006)
[8] Kumar, V., Customer Relationship Management (2010), John Wiley & Sons, Ltd
[9] Kumar, V., Undervalued or overvalued customers: capturing total customer engagement value, J. Serv. Res., 13, 3, 297-310 (2010)
[10] Lee, J.; Lee, J.; Feick, L., Incorporating word-of-mouth effects in estimating customer lifetime value, J. Database Mark. Custom. Strat. Manag., 14, 29-39 (2006)
[11] Lin, L., Stabilization analysis for economic compartmental switched systems based on quadratic Lyapunov function, Nonlin. Anal. Hybrid Syst., 2, 1187-1197 (2008) · Zbl 1163.93303
[12] de Mart, Y. Zenou, “Social networks” In: I. Jarvie and J. Zamora-Bonilla (Eds.),Handbook of Philosophy of Social Science, London: SAGE Publications,339-361Chapter 16.; de Mart, Y. Zenou, “Social networks” In: I. Jarvie and J. Zamora-Bonilla (Eds.),Handbook of Philosophy of Social Science, London: SAGE Publications,339-361Chapter 16.
[13] Kumar, V.; Petersen, J. A.; Leone, R. P., How valuable is word of mouth?, Harvard Bus. Rev., 85, 10, 139 (2007)
[14] Greenwald, B.; Stiglitz, J. E., Financial market imperfections and business cycles, Q. J. Econ., 108, 77-114 (1993)
[15] Thieme, H. R., Mathematics in Population Biology. Mathematics in Population Biology, Princeton Series in Theoretical and Computational Biology (2003), Princeton University Press · Zbl 1054.92042
[16] Tramontana, F., Economics as a compartmental system: a simple macroeconomic example, Int Rev Econ, 57, 347-360 (2010)
[17] Zhao, X.-Q., Dynamical Systems in Population Biology (2003), Springer-Verlag: Springer-Verlag New York · Zbl 1023.37047
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