Cluster analysis using data mining approach to develop CRM methodology to assess the customer loyalty

Expert Systems with Applications

Volumn 37, Issue 7, 2010, Pages 5259-5264

  Hosseini, Seyed Mohammad Seyed ^a   Maleki, Anahita ^a   Gholamian, Mohammad Reza ^a  

^a IRAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Iran)

Author keywords

Customer loyalty; Customer relationship management; K Means algorithm; RFM model

Indexed keywords

CUSTOMER LOYALTY; CUSTOMER PRODUCTS; CUSTOMER RELATIONSHIP MANAGEMENT; DAVIES-BOULDIN INDEX; HIDDEN KNOWLEDGE; K-MEANS ALGORITHM; MARKETING STRATEGY; RANDOM SELECTION;

CLUSTER ANALYSIS; CUSTOMER SATISFACTION; MATHEMATICAL MODELS; PUBLIC RELATIONS; SALES; STRATEGIC PLANNING;

DATA MINING;

EID: 77950189382     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2009.12.070     Document Type: Article

References (20)

1. Anton J. Customer relationship management (1996), Prentice-Hall, New York, NY
2. Anton J., and Hoeck M. E-business customer service (2002), The Anton Press, Santa Monica, CA
3. Baier M., Ruf K.M., and Chakraborty G. Contemporary database marketing: Concepts and applications (2002), Racom Communications, Evanston
4. Brown H.L. "The three Ws of technology", customer relationship management: A strategic imperative in the world of e-business. (pp. 219-225) (2000), Wiley, Toronto
5. Chatterjee J. Managing customer relationships in the e-business economy. Journal of Scientific and Industrial Research (2000) 749-752
6. Cheng, C.-H., & Chen, Y.-S. (2008). Classifying the segmentation of customer value via RFM model and RS theory. Expert Systems with Applications.
7. Chow S., and Holden R. Toward an understanding of loyalty: The moderating role of trust. Journal of Management Issue 9 3 (1997) 275
8. Eriksson K., and Vaghult L.A. Customer retention, purchasing behavior and relationship substance in professional services. Industrial Marketing Management 29 (2000) 363-372
9. Feinberg, R., & Trotter, M. (2001). Immaculate deception: The unintended negative effects of the CRM revolution: May be we would be better off without customer relations management. In D. H. Renner (Ed.), Defying the limits, Vol. 2, Montgomery Research, San Franscisco, CA.
10. Feinberg R., and Kadam R. E-CRM web service attributes as determinants of customer satisfaction with retail web sites. International Journal of Service Industry Management 13 5 (2002) 432-451
11. Han J., and Kamber M. Data mining: Concepts and techniques (2001), Morgan Kaufmann Publishers, San Francisco
12. Hughes A.M. Strategic database marketing (1994), Probus Publishing Company, Chicago
13. Lam S.Y., Shankar V., Erramilli M.K., and Murthy B. Customer value, satisfaction, loyalty, and switching costs: An illustration from a business-to-business service context. Journal of the Academy of Marketing Science 32 3 (2004) 293
14. Liu D.-R., and Shih Y.-Y. Integrating AHP and data mining for product recommendation based on customer lifetime value. Information & Management 42 (2005) 387-400
15. Michaud P. Clustering techniques. Future Generation Computer System 13 2 (1997) 135-147
16. Parvatiyar A., and Sheth J. Conceptual framework of customer relationship management. In: Sheth J.N., Parvatiyar A., and Shainesh G. (Eds). Customer relationship management: Emerging concepts, tools and applications. 5th ed. (2004), Tata McGraw-Hill Publishing, New Delhi
17. Reichheld F.F., and Teal T. The loyalty effect: The hidden force behind growth, profits, and lasting value (1996), Harvard Business School Press, Trans. Boston, MA
18. Ricard L., and Perrien J. Explaining and evaluating the implementation of organizational relationship marketing in the banking industry: Clients' perception. Journal of Business Research 45 (1999) 199-209
19. Shina H.W., and Sohnb S.Y. Segmentation of stock trading customers according to potential value. Expert Systems with Applications (2004) 27-33
20. Stone B. Successful direct marketing methods. (pp. 37-57) (1995), NTC Business Books, Lincolnwood, IL