Optimal Crm Strategies

Topics: Customer relationship management, Customer service, Marketing Pages: 41 (13280 words) Published: August 23, 2013
Information Systems Research
Vol. 22, No. 3, September 2011, pp. 624–639 issn 1047-7047 eissn 1526-5536 11 2203 0624 http://dx.doi.org/10.1287/isre.1100.0309 © 2011 INFORMS

Determining Optimal CRM Implementation Strategies
Seung Hyun Kim
Department of Information Systems, National University of Singapore, Singapore 117417, kimsh@comp.nus.edu.sg

Tridas Mukhopadhyay
Tepper School of Business, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, tridas@cmu.edu

A

lthough 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. Key words: customer relationship management; IT investments; CRM costs; consumer surplus; complementarity; substitutability; economics of IS History: Seungjin Whang, Senior Editor; Gautam Ray, Associate Editor. This paper was received on November 15, 2007, and was with the authors 15 1 months for 2 revisions. Published online in Articles in 2 Advance November 18, 2010.

1.

Introduction

Despite the fast growth of the CRM market1 and a great deal of money spent by companies (typically $5,000 per user and $2 million to $5 million per deployment), many have not seen a satisfactory return on their CRM installations (Fox 2001, Hendricks et al. 2007).2 Evidence also shows that many CRM features 1

According to IDC, the CRM market grew by 8% in 2004, resulting in total market revenues of $8.8 billion. Datamonitor estimated that the market for CRM software in the United States and major European countries is expected to increase by 9% annually over the next six years. (IT Facts 2005). More recently, Gartner has estimated that total revenue for CRM software in 2008 reached about $9 billion worldwide and will reach $11 billion in 2011 (Gartner 2007, 2009). 2

When managers were asked to assess CRM, no more than 35% of the respondents reported that their expectations had been met (Ebner et al. 2002). A Merrill Lynch survey of CIOs at large companies found that 45% of those surveyed were not satisfied with CRM installations (ZDNet 2002). Nucleus Research, Inc. reported that 61% of the surveyed CRM customers were yet to achieve anything close to an acceptable return on investment after two years with Siebel applications, which cost an average of about $6.6 million over a three-year period (Manakas 2002). 624

are never used after implementation (Lacey 2002). We attribute one of the reasons for such dissatisfaction to the lack of understanding of the impact of CRM technologies, which are very different from traditional cost-cutting and quality enhancing IT. Due to the popularity of CRM and marketing efforts of CRM software vendors, firms are likely to choose inappropriate CRM technologies and may overinvest in CRM...

References: Ashworth, M., T. Mukhopadhyay, L. Argote. 2004. Information technology and organizational learning: An empirical analysis. Proc. 25th Internat. Conf. Inform. Systems, Washington, DC, 481–492. http://aisel.aisnet.org/icis2004/38. Barua, A., C. H. Kriebel, T. Mukhopadhyay. 1991. An economic analysis of strategic information technology investments. MIS Quart. 15(3) 313–331. Barua, A., C. H. Kriebel, T. Mukhopadhyay. 1995. Information technologies and business value: An analytic and empirical investigation. Inform. Systems Res. 6(1) 3–23. Beggs, A., P. Klemperer. 1992. Multi-period competition with switching costs. Econometrica 60(3) 651–666. Brynjolfsson, E. 1996. The contribution of information technology to consumer welfare. Inform. Systems Res. 7(3) 281–300. Brynjolfsson, E., L. Hitt. 1996. Paradox lost? Firm-level evidence on the returns to information systems spending. Management Sci. 42(4) 541–558. Chen, Y., G. Iyer. 2002. Consumer addressability and customized pricing. Marketing Sci. 21(2) 197–208. Chen, Y., C. Narasimhan, Z. J. Zhang. 2001. Individual marketing with imperfect targetability. Marketing Sci. 20(1) 23–41. Clark, T. 2004. The key to success. Consumer Goods Tech. (March) 15–16. http://www.consumergoods.com/ME2/Sites/dirmod .asp?sid=234FFCB1E8DF4FACBAFF60DFFD8AD37C&nm=&type =MultiPublishing&mod=PublishingTitles&mid=A533BDC6582947448BBFA37BFF6394FF&tier=2&SiteId=7E5BCA545BF5490C84FD6DF21BB791BF&did=BF715CFAF59B488C99260862C3C22096 &dtxt=March+2004. Cotteleer, M. J., E. Bendoly. 2006. Order lead-time improvement following enterprise information technology implementation: An empirical study. MIS Quart. 30(3) 643–660. Cyert, R. M., M. H. DeGroot, C. A. Holt. 1978. Sequential investment decisions with Bayesian learning. Management Sci. 24(7) 712–718. Davamanirajan, P., R. J. Kauffman, C. H. Kriebel, T. Mukhopadhyay. 2006. Systems design, process performance, and economic outcomes in international banking. J. MIS 23(2) 67–92. Davenport, T. H. 2006. Competing on analytics. Harvard Bus. Rev. 84(1) 98–107. Demirhan, D., V. S. Jacob, S. Raghunathan. 2006. Information technology investment strategies under declining technology cost. J. MIS 22(3) 321–350. Devaraj, S., R. Kohli. 2003. Performance impacts of information technology: Is actual usage the missing link? Management Sci. 49(3) 273–289. Dyche, J. 2001. The CRM Handbook: A Business Guide to Customer Relationship Management. Addison-Wesley, Boston. Ebner, M., A. Hu, D. Levitt, J. McCrory. 2002. How to rescue CRM. McKinsey Quart. Special Edition: Tech. (4) 49–57. Fichman, R. G., S. A. Moses. 1999. An incremental process for software implementation. Sloan Management Rev. 40(2) 39–52.
Kim and Mukhopadhyay: Determining Optimal CRM Implementation Strategies
Information Systems Research 22(3), pp. 624–639, © 2011 INFORMS
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Fox, F. 2001. CRM nightmare will go away. COMPUTERWORLD (December 03). Accessed October 2010, http://www .computerworld.com/s/article/66195/CRM. Gartner. 2007. Gartner says worldwide customer relationship management software market will grow 14 percent in 2007. Accessed October 2010, http://www.gartner.com/it/page.jsp ?id=519316. Gartner. 2009. Gartner says reviewing the state of CRM in 2000 foretells its future in 2020. Accessed January 2010, http://www .gartner.com/it/page.jsp?id=899012. Gattiker, T. F., D. L. Goodhue. 2005. What happens after ERP implementation: Understanding the impact of interdependence and differentiation on plant-level outcomes. MIS Quart. 29(3) 559–585. Gupta, S., V. Zeithaml. 2006. Customer metrics and their impact on financial performance. Marketing Sci. 25(6) 718–739. Hendricks, K., V. Singhal, J. Stratman. 2007. The impact of enterprise systems on corporate performance: A study of ERP, SCM and CRM system implementation. J. Oper. Management 25(1) 65–82. Hitt, L. M., D. J. Wu, X. Zhou. 2002. Investment in enterprise resource planning: Business impact and productivity measures. J. Management Inform. Systems 19(1) 71–98. IT Facts. 2005. Global CRM market is worth $3.2 bln in 2005. Accessed November 2008, http://blogs.zdnet.com/ITFacts/ ?p=8423. Jayachandran, S., S. Sharma, P. Kaufman, P. Raman. 2005. The role of relational information processes and technology use in customer relationship management. J. Marketing 69(4) 177–192. Keil, M., J. Mann. 2000. Why software projects escalate: An empirical analysis and test of four theoretical models. MIS Quart. 24(4) 631–664. Kekre, S., T. Mukhopadhyay. 1992. Impact of electronic data interchange on quality improvement and inventory reduction programs: A field study. Internat. J. Production Econom. 28(3) 265–282. Lacey, E. 2002. Siebel competitor offers free licenses. ZDNet UK. Accessed April 2006, http://news.zdnet.co.uk/software/0 ,39020381,2110442,00.htm. Laudon, K., J. Laudon. 2005. Management Information Systems: Managing the Digital Firm, 9th ed. Prentice Hall, Upper Saddle River, NJ. Loveman, G. 2003. Diamonds in the data mine. Harvard Bus. Rev. 81(5) 109–113. Manakas, T. 2002. Popping bubbles-maximizing CRM ROI. CRM Today Article. Accessed October 2010, http://www.crm2day .com/highlights/EpFlkEAkEpNxESiDvF.php. Melville, N., K. Kraemer, V. Gurbaxani. 2004. Review: Information technology and organizational performance: An integrative model of IT business value. MIS Quart. 28(2) 283–322. Milgrom, P., J. Roberts. 1990. The economics of modern manufacturing: Technology, strategy, and organization. Amer. Econom. Rev. 80(3) 511–528. Milgrom, P, J. Roberts. 1995. Complementarities and fit: Strategy, structure, and organizational change in manufacturing. J. Accounting Econom. 19(2) 179–208. Mithas, S., M. S. Krishnan, C. Fornell. 2005. Why do customer relationship management applications affect customer satisfaction? J. Marketing 69(4) 201–209. Mittal, V., W. A. Kamakura. 2001. Satisfaction, repurchase intent and repurchase behavior: Investigating the moderating effect of customer characteristics. J. Marketing Res. 38(1) 131–142. Mukhopadhyay, T., S. Kekre. 2002. Strategic and operational benefits of electronic integration in B2B procurement processes. Management Sci. 48(10) 1301–1313. Mukhopadhyay, T., V. Mangal. 1997. Direct and indirect impacts of information technology applications on productivity: A field study. Internat. J. Electronic Commerce 1(3) 85–100.
Mukhopadhyay, T., S. Kekre, S. Kalathur. 1995. Business value of information technology: A study of electronic data interchange. MIS Quart. 19(2) 137–156. Mukhopadhyay, T., J. Lerch, V. Mangal. 1997a. Assessing the impact of information technology on labor productivity: A field study. Decision Support Systems 19(2) 109–122. Mukhopadhyay, T., S. Rajiv, K. Srinivasan. 1997b. Information technology impact on process output and quality. Management Sci. 43(12) 1645–1659. Overby, S. 2002. The little banks that could. CIO 15(16) 102–108. Payne, A., P. Frow. 2005. A strategic framework for customer relationship management. J. Marketing 69(4) 167–176. Peppers, D., M. Rogers, B. Dorf. 1999. Is your company ready for one-to-one marketing? Harvard Bus. Rev. 77(1) 3–12. Ranganathan, C., C. V. Brown. 2006. ERP investments and the market value of firms: Toward an understanding of influential ERP project variables. Inform. Systems Res. 17(2) 145–161. Rigby, D. K., D. Ledingham. 2004. CRM done right. Harvard Bus. Rev. 82(11) 118–129. Rigby, D. K., F. Reichheld, P. Schefter. 2002. Avoid the four perils of CRM. Harvard Bus. Rev. 80(2) 101–109. Riggins, F. J., T. Mukhopadhyay. 1994. Interdependent benefits from interorganizational systems: Opportunities for business process re-engineering. J. Management Inform. Systems 11(2) 37–57. Rust, R. T., T. S. Chung. 2006. Marketing models of service and relationships. Marketing Sci. 25(6) 560–580. Rust, R. T., P. C. Verhoef. 2005. Optimizing the marketing interventions mix in intermediate-term CRM. Marketing Sci. 24(3) 477–489. Siggelkow, N. 2002. Misperceiving interactions among complements and substitutes: Organizational consequences. Management Sci. 48(7) 900–916. Srinivasan, R., C. Moorman. 2005. Strategic firm commitments and rewards for customer relationship management in online retailing. J. Marketing 69(4) 193–200. Srinivasan, K., S. Kekre, T. Mukhopadhyay. 1994. Impact of electronic data interchange technology on JIT shipments. Management Sci. 40(10) 1291–1304. Stieglitz, N., K. Heine. 2007. Innovation and the role of complementarities in a strategic theory of the firm. Strategic Management J. 28(1) 1–15. Tanriverdi, H. 2006. Performance effects of information technology synergies in multibusiness firms. MIS Quart. 30(1) 57–77. Thatcher, M. E., D. E. Pingry. 2004. An economic model of product quality and IT value. Inform. Systems Res. 15(3) 268–286. Tyagi, R. K. 2004. Techonological advances, transaction costs, and consumer welfare. Marketing Sci. 23(3) 335–344 Varian, H. R. 1980. A model of sales. Amer. Econom. Rev. 70(4) 651–659. Villas-Boas, J. M. 2004. Price cycles in markets with customer recognition. RAND J. Econom. 35(3) 486–501. Wang, E. T. G., T. Barron, A. Seidman. 1997. Contracting structures for custom software development: The impacts of informational rents and uncertainty on internal development and outsourcing. Management Sci. 43(12) 1726–1744. Xu, Y., D. Yen, B. Lin, D. Chou. 2002. Adopting customer relationship management technology. Indust. Management Data Systems 102(8–9) 442–452. ZDNet. 2002. CRM: Dream or nightmare? ZDNet. Accessed May 31, http://techrepublic.com.com/5100-10878-1054704.html. Zhu, K. 2004. The complementarity of information technology infrastructure and e-commerce capability: A resource-based assessment of their business value. J. MIS 21(1) 167–202.
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