Abstract
Increasingly, customers use the internet as a vehicle for purchasing things. While customer value measurement is an important element in customer relationship management. Based on analyzing some typical models of customer value, the paper explores the advantages and limitations of current models and methods on customer value evaluation, and it focuses on the online customers’ behavior and develops a model of online customer value. The framework of the model is consistent of historical value, current value and the future potential value of online customers.
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References
Hee-Woong, Gupta, S.: A Comparison of Purchase Decision Calculus between Potential and Repeat Customers of an Online Store. Decision Support Systems 11, 477–487 (2009)
Verhoef, P.C., Donker, B.: Predicting Customer Potential Value an Application in the Insurance Industry. Decision Support Systems 2, 189–195 (2001)
Calciu, M., Salerno, F.: Customer Value Modeling: Synthesis and Extension Proposals. Journal of Targeting, Measurement and Analysis for Marketing 11, 124–145 (2003)
Ahn, H.J.: Evaluating Customer Aid Functions of Online Stores with Agent-based Models of Customer Behavior and Evolution Strategy. Information Sciences 5(9), 1555–1570 (2010)
Kim, J., Fiore, A.M., Lee, H.-H.: Influences of Online Store Perception, Shopping Enjoyment, and Shopping Involvement on Consumer Patronage Behavior towards an Online Retailer. Journal of Retailing and Consumer Services 3, 95–107 (2007)
Lee, J., Park, D.-H., Han, I.: The Effect of Negative Online Consumer Reviews on Product Attitude: An Information Processing View. Electronic Commerce Research and Applications 8, 341–352 (2008)
Levenburg, N.M.: Delivering Customer Value Online: an Analysis of Practices, Applications, and Performance. Journal of Retailing and Consumer Services 12, 319–331 (2005)
Jing, R.: A Case Study on Government Procurement Processes Identifying. The 2nd International Workshop on Knowledge Discovery and Data Mining 1, 23–26 (2009)
Jing, R.: A Case Study on Imitative Innovation Strategy in Community E-commerce. In: The 9th International Conference on Information and Management Sciences, pp. 86–91 (2010)
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© 2011 Springer-Verlag Berlin Heidelberg
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Jing, R. (2011). Online Customer Value Structure: A Network Analysis Approach. In: Wang, Y., Li, T. (eds) Practical Applications of Intelligent Systems. Advances in Intelligent and Soft Computing, vol 124. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25658-5_32
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DOI: https://doi.org/10.1007/978-3-642-25658-5_32
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25657-8
Online ISBN: 978-3-642-25658-5
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