Artículo

Estamos trabajando para incorporar este artículo al repositorio
Consulte el artículo en la página del editor
Consulte la política de Acceso Abierto del editor

Abstract:

We study a trial-offer market where consumers may purchase one of two competing products. Consumer preferences are affected by the products quality, their appeal, and their popularity. While the asymptotic convergence or stationary states of these, and related dynamical systems, has been vastly studied, the literature regarding the transitory dynamics remains surprisingly sparse. To fill this gap, we derive a system of Ordinary Differential Equations, which is solved exactly to gain insight into the roles played by product qualities and appeals in the market behavior. We observe a logarithmic tradeoff between quality and appeal for medium and long-term marketing strategies: The expected market shares remain constant if a decrease in quality is followed by an exponential increase in the product appeal. However, for short time horizons, the trade-off is linear. Finally, we study the variability of the dynamics through Monte Carlo simulations and discover that low appeals may result in high levels of variability. The model results suggest effective marketing strategies for short and long time horizons and emphasize the significance of advertising early in the market life to increase sales and predictability. © 2017 Altszyler et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Registro:

Documento: Artículo
Título:Transient dynamics in trial-offer markets with social influence: Trade-offs between appeal and quality
Autor:Altszyler, E.; Berbeglia, F.; Berbeglia, G.; Van Hentenryck, P.
Filiación:Departamento de Computación, Universidad de Buenos Aires, CONICET, Buenos Aires, Argentina
Tepper School of Business, Carnegie Mellon University, Pittsburgh, PA, United States
Melbourne Business School, University of Melbourne, Carlton, VIC, Australia
Industrial and Operations Engineering, University of Michigan, Ann Arbor, MI, United States
Palabras clave:advertising; behavior; consumer; human; marketing; Monte Carlo method; algorithm; commercial phenomena; consumer attitude; marketing; procedures; social behavior; theoretical model; Algorithms; Commerce; Consumer Behavior; Humans; Marketing; Models, Theoretical; Monte Carlo Method; Social Behavior
Año:2017
Volumen:12
Número:7
DOI: http://dx.doi.org/10.1371/journal.pone.0180040
Título revista:PLoS ONE
Título revista abreviado:PLoS ONE
ISSN:19326203
CODEN:POLNC
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_19326203_v12_n7_p_Altszyler

Referencias:

  • Merton, R.K., The matthew effect in science (1968) Science, 159 (3810), pp. 56-63. , https://doi.org/10.1126/science.159.3810.56
  • Perc, M., The matthew effect in empirical data (2014) Journal of The Royal Society Interface, 11 (98), p. 20140378. , https://doi.org/10.1098/rsif.2014.0378
  • Hogg, T., Lerman, K., (2014) Disentangling The Effects of Social Signals, , arXiv preprint arXiv:1410.6744
  • Kempe, D., Mahdian, M., A cascade model for externalities in sponsored search (2008) International Workshop on Internet and Network Economics, pp. 585-596
  • Eggenberger, F., Pólya, G., Über die statistik verketteter vorgänge (1923) Zamm-journal of Applied Mathematics and Mechanics/zeitschrift Für Angewandte Mathematik Und Mechanik, 3 (4), pp. 279-289. , https://doi.org/10.1002/zamm.19230030407
  • Mahmoud, H., (2008) Pólya Urn Models, , CRC press
  • Barabási, A.L., Albert, R., Emergence of scaling in random networks (1999) Science, 286 (5439), pp. 509-512. , https://doi.org/10.1126/science.286.5439.509, PMID: 10521342
  • DiPrete, T.A., Eirich, G.M., Cumulative advantage as a mechanism for inequality: A review of theoretical and empirical developments (2006) Annual Review of Sociology, pp. 271-297. , https://doi.org/10.1146/annurev.soc.32.061604.123127
  • Ceyhan, S., Mousavi, M., Saberi, A., Social influence and evolution of market share (2011) Internet Mathematics, 7 (2), pp. 107-134. , https://doi.org/10.1080/15427951.2011.579849
  • Van Hentenryck, P., Abeliuk, A., Berbeglia, F., Maldonado, F., Berbeglia, G., Aligning popularity and quality in online cultural markets (2016) Tenth International AAAI Conference on Web and Social Media (ICWSM-16, pp. 398-407
  • Salganik, M.J., Dodds, P.S., Watts, D.J., Experimental study of inequality and unpredictability in an artificial cultural market (2006) Science, 311 (5762), pp. 854-856. , https://doi.org/10.1126/science.1121066, PMID: 16469928
  • Abeliuk, A., Berbeglia, G., Van Hentenryck, P., Hogg, T., Lerman, K., Taming the unpredictability of cultural markets with social influence (2017) Proceedings of The 26th International Conference on World Wide Web, pp. 745-754
  • Krumme, C., Cebrian, M., Pickard, G., Pentland, S., Quantifying social influence in an online cultural market (2012) PLOS ONE, 7 (5). , https://doi.org/10.1371/journal.pone.0033785, 5 PMID: 22590493
  • Abeliuk, A., Berbeglia, G., Cebrian, M., Van Hentenryck, P., The benefits of social influence in optimized cultural markets (2015) PLOS ONE, 10 (4). , https://doi.org/10.1371/journal.pone.0121934, 4 PMID: 25831093
  • Jiang, B., Sun, L., Figueiredo, D.R., Ribeiro, B., Towsley, D., On the duration and intensity of cumulative advantage competitions (2015) Journal of Statistical Mechanics: Theory and Experiment, 2015 (11), p. P11022. , https://doi.org/10.1088/1742-5468/2015/11/P11022
  • Jiang, B., Figueiredo, D.R., Ribeiro, B., Towsley, D., On the duration and intensity of competitions in nonlinear pólya urn processes with fitness (2016) Proceedings of The 2016 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Science, pp. 299-310. , ACM
  • Engstrom, P., Forsell, E., (2014) Demand Effects of Consumers’ Stated and Revealed Preferences, , Available at SSRN 2253859
  • Viglia, G., Furlan, R., Ladrón-De Guevara, A., Please, talk about it! When hotel popularity boosts preferences (2014) International Journal of Hospitality Management, 42, pp. 155-164. , https://doi.org/10.1016/j.ijhm.2014.07.001
  • Kushner, H., Yin, G., (2003) Stochastic Approximation and Recursive Algorithms and Applications, 35. , Springer Science & Business Media
  • Strogatz, S.H., (2014) Nonlinear Dynamics and Chaos: With Applications to Physics, Biology, Chemistry, and Engineering, , Westview press
  • Abeliuk, A., Berbeglia, G., Maldonado, F., Van Hentenryck, P., Asymptotic optimality of myopic optimization in trial-offer markets with social influence (2016) Proceedings of The 25th International Joint Conference on Artificial Intelligence (IJCAI, pp. 2458-2464

Citas:

---------- APA ----------
Altszyler, E., Berbeglia, F., Berbeglia, G. & Van Hentenryck, P. (2017) . Transient dynamics in trial-offer markets with social influence: Trade-offs between appeal and quality. PLoS ONE, 12(7).
http://dx.doi.org/10.1371/journal.pone.0180040
---------- CHICAGO ----------
Altszyler, E., Berbeglia, F., Berbeglia, G., Van Hentenryck, P. "Transient dynamics in trial-offer markets with social influence: Trade-offs between appeal and quality" . PLoS ONE 12, no. 7 (2017).
http://dx.doi.org/10.1371/journal.pone.0180040
---------- MLA ----------
Altszyler, E., Berbeglia, F., Berbeglia, G., Van Hentenryck, P. "Transient dynamics in trial-offer markets with social influence: Trade-offs between appeal and quality" . PLoS ONE, vol. 12, no. 7, 2017.
http://dx.doi.org/10.1371/journal.pone.0180040
---------- VANCOUVER ----------
Altszyler, E., Berbeglia, F., Berbeglia, G., Van Hentenryck, P. Transient dynamics in trial-offer markets with social influence: Trade-offs between appeal and quality. PLoS ONE. 2017;12(7).
http://dx.doi.org/10.1371/journal.pone.0180040