CUSTOMER BEHAVIOR MODELING UNDER SEVERAL DECISION-MAKING PROCESSES BY USING EM ALGORITHM

Takeshi Kurosawa, Ken Nishimatsu, Motoi Iwashita, Akiya Inoue

2007

Abstract

This paper gives a model of customer choice behavior modeling based on a combination of decision-making processes by applying latent class model based on EM algorithm. This model can apply for the choice problems of multi services and multi brands under various decision-making processes. In addition to the model based on EM algorithm, we tried some conventional models and compared them. The model based on EM algorithm enables us to know what kinds of customers are classified into a certain class. Moreover, we could construct more accuracy model than conventional model and found the existence of two decision-making processes.

References

  1. Ben-Akiva, M. and Gershenfeld, S. (1998). Multi-featured products and services : analysing pricing and bundling strategies. Journal of Forecasting, 17:175-196.
  2. Ben-Akiva, M. and Lerman, S. R. (1985). Discrete Choice Analysis:Theory and Application to Travel Demand. The MIT Press, Cambridge Massachusetts.
  3. Bierlaire, M. (2005). Biogeme. http://roso.epfl.ch/biogeme.
  4. Copeland, T. and Antikarov, V. (2001). Real Options : A Practitioner's Guide. Thomson Texere.
  5. Fildes, R. and Kumar, V. (2002). Telecommunications demand forecasting -a review. International Journal of Forecasting, 18:489-522.
  6. Inoue, A., Nishimatsu, K., and Takahashi, S. (2003a). Multi-attribute learning mechanism for customer satisfaction assessment. Intelligent Engineering Systems Through Artificial Neural Networks, 13:793-800.
  7. Inoue, A., Takahashi, S., Nishimatsu, K., and Kawano, H. (2003b). Service demand analysis using multiattribute learning mechanisms. In KIMAS 2003, pages 634-639, MA Cambridge. IEEE.
  8. Kurosawa, T., Inoue, A., and Nishimatsu, K. (2006). Telephone service choice-behavior modeling using menu choice data under competitive conditions. Intelligent Engineering Systems Through Artificial Neural Networks, 16:711-720.
  9. Kurosawa, T., Inoue, A., Nishimatsu, K., Ben-Akiva, M., and Bolduc, D. (2005). Customer-choice behavior modeling with latent perceptual variables. Intelligent Engineering Systems Through Artificial Neural Networks, 15:419-426.
  10. Loomis, D. G. and Taylor, L. D., editors (1999). THE FUTURE OF THE TELECOMMUNICATIONS INDUSTRY : Forecasting and Demand Analysis. Kruwer Academic publishers.
  11. Loomis, D. G. and Taylor, L. D., editors (2001). FORECASTING THE INTERNET : Understanding the Explosive Growth of Data Communications. Kruwer Academic publishers.
  12. Manski, C. F. (1977). The structure of random utility models. Theroy and Decision, 8:229-254.
  13. Nishimatsu, K., Inoue, A., and Kurosawa, T. (2004). Traffic profiling method for service demand analysis. Intelligent Engineering Systems Through Artificial Neural Networks, 14:647-652.
  14. Nishimatsu, K., Inoue, A., and Kurosawa, T. (2006). Service-demand-forecasting method using multiple data sources. In Networks.
  15. Nishimatsu, K., Inoue, A., Kurosawa, T., Ben-Akiva, M., and Bolduc, D. (2005). Service demand analysis : Improved forecasting using model updating. Intelligent Engineering Systems Through Artificial Neural Networks, 15:691-698.
  16. Savage, S. J. and Waldman, D. (2004). United States demand for internet access. Review of Network Economics, 3(3).
  17. Takahashi, S., Inoue, A., Kawano, H., and Nishimatsu, K. (2004). Scenario simulation based on stated preference model. In Simulation Workshop, pages 199-205. Operational Research Society.
  18. Train, K. E. (2003). Discrete Choice Methods with Simulation. Cambridge University Press, Cambridge, Massachusetts.
  19. van der Heijden, K. (1996). SCENARIOS - The Art of Strategic Conversation. John Wiley & Sons.
Download


Paper Citation


in Harvard Style

Kurosawa T., Nishimatsu K., Iwashita M. and Inoue A. (2007). CUSTOMER BEHAVIOR MODELING UNDER SEVERAL DECISION-MAKING PROCESSES BY USING EM ALGORITHM . In Proceedings of the Second International Conference on e-Business - Volume 1: ICE-B, (ICETE 2007) ISBN 978-989-8111-11-1, pages 339-346. DOI: 10.5220/0002115703390346


in Bibtex Style

@conference{ice-b07,
author={Takeshi Kurosawa and Ken Nishimatsu and Motoi Iwashita and Akiya Inoue},
title={CUSTOMER BEHAVIOR MODELING UNDER SEVERAL DECISION-MAKING PROCESSES BY USING EM ALGORITHM},
booktitle={Proceedings of the Second International Conference on e-Business - Volume 1: ICE-B, (ICETE 2007)},
year={2007},
pages={339-346},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002115703390346},
isbn={978-989-8111-11-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Second International Conference on e-Business - Volume 1: ICE-B, (ICETE 2007)
TI - CUSTOMER BEHAVIOR MODELING UNDER SEVERAL DECISION-MAKING PROCESSES BY USING EM ALGORITHM
SN - 978-989-8111-11-1
AU - Kurosawa T.
AU - Nishimatsu K.
AU - Iwashita M.
AU - Inoue A.
PY - 2007
SP - 339
EP - 346
DO - 10.5220/0002115703390346