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Determining Optimal CRM Implementation Strategies

Author

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  • Seung Hyun Kim

    (Department of Information Systems, National University of Singapore, Singapore 117417)

  • Tridas Mukhopadhyay

    (Tepper School of Business, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213)

Abstract

Although companies have spent a great deal of money to adopt CRM (customer relationship management) technologies, many have not seen satisfactory returns on their CRM implementations. We study optimal CRM implementation strategies and the impact of CRM investments on profitability. For our analysis, we classify CRM technologies into two broad categories: targeting-related and support-related technologies. While targeting CRM improves the success rate of distinguishing between nonloyal and loyal customers, support CRM increases the probability of retaining the loyalty of existing customers. We also consider the costs of implementing each CRM type separately as well as both types simultaneously. We show that the optimal CRM implementation strategy depends on the initial mass of loyal customers and diseconomies of scale in simultaneous implementation. We also find that the two types of CRM technologies are substitutive rather than complementary in generating revenue. We discuss why it is difficult to avoid overinvestments in CRM when the nature of the investments is misunderstood. We study the optimal CRM implementation scope and the impact of different types of CRM on customers. We develop a model that not only considers both the revenue and costs sides but is also helpful in determining the deployment of right CRM technology in the right scope.

Suggested Citation

  • Seung Hyun Kim & Tridas Mukhopadhyay, 2011. "Determining Optimal CRM Implementation Strategies," Information Systems Research, INFORMS, vol. 22(3), pages 624-639, September.
    • Handle: RePEc:inm:orisre:v:22:y:2011:i:3:p:624-639
    DOI: 10.1287/isre.1100.0309
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    as
    1. Rajeev K. Tyagi, 2004. "Technological Advances, Transaction Costs, and Consumer Welfare," Marketing Science, INFORMS, vol. 23(3), pages 335-344, January.
    2. Eric T. G. Wang & Terry Barron & Abraham Seidmann, 1997. "Contracting Structures for Custom Software Development: The Impacts of Informational Rents and Uncertainty on Internal Development and Outsourcing," Management Science, INFORMS, vol. 43(12), pages 1726-1744, December.
    3. Varian, Hal R, 1980. "A Model of Sales," American Economic Review, American Economic Association, vol. 70(4), pages 651-659, September.
    4. Tridas Mukhopadhyay & Sunder Kekre, 2002. "Strategic and Operational Benefits of Electronic Integration in B2B Procurement Processes," Management Science, INFORMS, vol. 48(10), pages 1301-1313, October.
    5. Matt E. Thatcher & David E. Pingry, 2004. "An Economic Model of Product Quality and IT Value," Information Systems Research, INFORMS, vol. 15(3), pages 268-286, September.
    6. Yuxin Chen & Ganesh Iyer, 2002. "Research Note Consumer Addressability and Customized Pricing," Marketing Science, INFORMS, vol. 21(2), pages 197-208, November.
    7. C. Ranganathan & Carol V. Brown, 2006. "ERP Investments and the Market Value of Firms: Toward an Understanding of Influential ERP Project Variables," Information Systems Research, INFORMS, vol. 17(2), pages 145-161, June.
    8. R. M. Cyert & M. H. DeGroot & C. A. Holt, 1978. "Sequential Investment Decisions with Bayesian Learning," Management Science, INFORMS, vol. 24(7), pages 712-718, March.
    9. Erik Brynjolfsson, 1996. "The Contribution of Information Technology to Consumer Welfare," Information Systems Research, INFORMS, vol. 7(3), pages 281-300, September.
    10. Sunil Gupta & Valarie Zeithaml, 2006. "Customer Metrics and Their Impact on Financial Performance," Marketing Science, INFORMS, vol. 25(6), pages 718-739, 11-12.
    11. Kekre, Sunder & Mukhopadhyay, Tridas, 1992. "Impact of electronic data interchange technology on quality improvement and inventory reduction programs: A field study," International Journal of Production Economics, Elsevier, vol. 28(3), pages 265-282, December.
    12. Kannan Srinivasan & Sundar Kekre & Tridas Mukhopadhyay, 1994. "Impact of Electronic Data Interchange Technology on JIT Shipments," Management Science, INFORMS, vol. 40(10), pages 1291-1304, October.
    13. Anitesh Barua & Charles H. Kriebel & Tridas Mukhopadhyay, 1995. "Information Technologies and Business Value: An Analytic and Empirical Investigation," Information Systems Research, INFORMS, vol. 6(1), pages 3-23, March.
    14. Milgrom, Paul & Roberts, John, 1995. "Complementarities and fit strategy, structure, and organizational change in manufacturing," Journal of Accounting and Economics, Elsevier, vol. 19(2-3), pages 179-208, April.
    15. Sarv Devaraj & Rajiv Kohli, 2003. "Performance Impacts of Information Technology: Is Actual Usage the Missing Link?," Management Science, INFORMS, vol. 49(3), pages 273-289, March.
    16. Roland T. Rust & Tuck Siong Chung, 2006. "Marketing Models of Service and Relationships," Marketing Science, INFORMS, vol. 25(6), pages 560-580, 11-12.
    17. Beggs, Alan W & Klemperer, Paul, 1992. "Multi-period Competition with Switching Costs," Econometrica, Econometric Society, vol. 60(3), pages 651-666, May.
    18. J. Miguel Villas-Boas, 2004. "Price Cycles in Markets with Customer Recognition," RAND Journal of Economics, The RAND Corporation, vol. 35(3), pages 486-501, Autumn.
    19. Roland T. Rust & Peter C. Verhoef, 2005. "Optimizing the Marketing Interventions Mix in Intermediate-Term CRM," Marketing Science, INFORMS, vol. 24(3), pages 477-489, December.
    20. Milgrom, Paul & Roberts, John, 1990. "The Economics of Modern Manufacturing: Technology, Strategy, and Organization," American Economic Review, American Economic Association, vol. 80(3), pages 511-528, June.
    21. Erik Brynjolfsson & Lorin Hitt, 1996. "Paradox Lost? Firm-Level Evidence on the Returns to Information Systems Spending," Management Science, INFORMS, vol. 42(4), pages 541-558, April.
    22. Tridas Mukhopadhyay & Surendra Rajiv & Kannan Srinivasan, 1997. "Information Technology Impact on Process Output and Quality," Management Science, INFORMS, vol. 43(12), pages 1645-1659, December.
    23. Nicolaj Siggelkow, 2002. "Misperceiving Interactions Among Complements and Substitutes: Organizational Consequences," Management Science, INFORMS, vol. 48(7), pages 900-916, July.
    24. Yuxin Chen & Chakravarthi Narasimhan & Z. John Zhang, 2001. "Individual Marketing with Imperfect Targetability," Marketing Science, INFORMS, vol. 20(1), pages 23-41, November.
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    Cited by:

    1. Verhoef, Peter C. & Lemon, Katherine N., 2013. "Successful customer value management: Key lessons and emerging trends," European Management Journal, Elsevier, vol. 31(1), pages 1-15.

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