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Inductive Development of Customer e-Loyalty Theory with Bayesian Networks

  • Conference paper
Computer Recognition Systems

Part of the book series: Advances in Soft Computing ((AINSC,volume 30))

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Abstract

The main objective of this paper is to show the use of Bayesian networks in inductive research applied in an e-loyalty study and to investigate whether e-loyalty theories can be discovered by means of Bayesian networks.

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References

  1. Chen Z, DeVaney SA, Liu S (2003) Consumers’ Value Perception of an E-Store and Its Impact on E-Store Loyalty Intention. In: Proc. of the 7th Triennial AMS/ACRA Retailing Conference 2003, November 6–9, Columbus

    Google Scholar 

  2. Cooper G, Herskovits E (1992) A Bayesian Method for the Induction of Probabilistic Networks from Data. Machine Learning 9:309–347

    MATH  Google Scholar 

  3. Gommans M, Krishnan KS, Scheffold KB (2001) From Brand Loyalty to E-Loyalty: A Conceptual Framework. Journal of Economic and Social Research 3:43–58

    Google Scholar 

  4. Heckerman D, Meek C, Cooper G (1999) A Bayesian Approach to Causal Discovery. In: Glymour C, Cooper G (eds) Computation, Causation, and Discovery. MIT Press, Cambridge, MA

    Google Scholar 

  5. Hunt SD (1991) Modern Marketing Theory: Critical Issues in the Philosophy of Marketing Science. South-Western Publishing Company, Cincinnati

    Google Scholar 

  6. Larranaga P, Kuijpers C, Murga R, Yurramendi Y (1996) Learning Bayesian network structures by searching for the best ordering with genetic algorithms. IEEE Transactions on System, Man and Cybernetics 26:487–493

    Article  Google Scholar 

  7. Loiacono ET, Watson RT, Goodhue DL (2000) WebQualTM: A measure of website quality. Available online: http://www.terry.uga.edu/cisl/includes/pdf/webqual.pdf [Accessed 6 December 2002]

    Google Scholar 

  8. Ranaweera, C., G. McDougall, and H. Bansal, 2005, “A Model of online Customer Behavior: Moderating Effects of Customer Characteristics.” Marketing Theory (forthcoming)

    Google Scholar 

  9. Rudner R (1966) Philosophy of Social Science. Englewood Cliffs, NJ. Prentice-Hall, Inc.

    Google Scholar 

  10. Szymanski DM, Hise RT (2000) e-Satisfaction: an Initial Examination. Journal of Retailing 76:309–322

    Article  Google Scholar 

  11. Zeithaml VA, Parasuraman A, Malhotra A (2002) Service Quality Delivery Through Web Sites: A Critical Review of Extant Knowledge. Journal of the Academy of Marketing Science 30:362–375

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. University of Limburg, Universitaire Campus, Gebouw D, 3590, Diepenbeek, Belgium

    Waldemar Jaroński & Koen Vanhoof

  2. University of Nijmegen, P.O. Box 9108, 6500 HK, Nijmegen, The Netherlands

    José Bloemer

Authors
  1. Waldemar Jaroński
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  2. Koen Vanhoof
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  3. José Bloemer
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Editor information

Editors and Affiliations

  1. Faculty of Electronics, Wroclaw University of Technology, Wybrzeze Wyspianskiego 27, 50-370, Wroclaw, Poland

    Marek Kurzyński , Edward Puchała , Michał Woźniak  & Andrzej żołnierek , ,  & 

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© 2005 Springer-Verlag Berlin Heidelberg

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Jaroński, W., Vanhoof, K., Bloemer, J. (2005). Inductive Development of Customer e-Loyalty Theory with Bayesian Networks. In: Kurzyński, M., Puchała, E., Woźniak, M., żołnierek, A. (eds) Computer Recognition Systems. Advances in Soft Computing, vol 30. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-32390-2_20

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  • DOI: https://doi.org/10.1007/3-540-32390-2_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25054-8

  • Online ISBN: 978-3-540-32390-7

  • eBook Packages: EngineeringEngineering (R0)

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