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The Impact of CRM System Use on Companies’ Customer Understanding: The Case of the Russian Ophthalmology Market

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  • Denis Klimanov

    (National Research University Higher School of Economics)

  • Ekaterina Frolkina

    (National Research University Higher School of Economics)

Abstract

As the customer relationship management process comes to play an increasingly important role in business success, a number of authors are attempting to evaluate the impact of various CRM process components on the quality of company interaction with customers and, ultimately, on company performance. This paper explores the impact of CRM systems on the quality of companies’ customer understanding. This understanding is measured in the context of an international pharmaceutical company in the Russian market. The field research is based on quantitative data from online questionnaires and telephone interviews. The sample consists of 64 company representatives and 217 ophthalmologists. The authors developed and tested a model of physician loyalty drivers and studied employees’ perceptions of the CRM system. The findings of this paper demonstrate that, despite the fact that a CRM system is actively used and perceived as a crucial part of the customer relationship management process within the company, understanding of key customer loyalty drivers needs to be significantly improved. The paper contributes to existing theory by evaluating the link between the use of CRM applications and customer relationship performance as well as by developing a physician prescription loyalty influencers framework in the context of the Russian pharmaceutical market. This research could be used by other pharmaceutical companies as well in order to understand the influence of their CRM applications on customer loyalty and also to identify the drivers of physicians’ prescriptions.

Suggested Citation

  • Denis Klimanov & Ekaterina Frolkina, 2015. "The Impact of CRM System Use on Companies’ Customer Understanding: The Case of the Russian Ophthalmology Market," Tržište/Market, Faculty of Economics and Business, University of Zagreb, vol. 27(1), pages 75-92.
  • Handle: RePEc:zag:market:v:27:y:2015:i:1:p:75-92
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    1. Ernst R. Berndt & Linda T. Bui & David H. Lucking-Reiley & Glen L. Urban, 1996. "The Roles of Marketing, Product Quality, and Price Competition in the Growth and Composition of the U.S. Antiulcer Drug Industry," NBER Chapters, in: The Economics of New Goods, pages 277-328, National Bureau of Economic Research, Inc.
    2. Chewning, Betty & Sleath, Betsy, 1996. "Medication decision-making and management: A client-centered model," Social Science & Medicine, Elsevier, vol. 42(3), pages 389-398, February.
    3. Timothy F. Bresnahan & Robert J. Gordon, 1996. "The Economics of New Goods," NBER Books, National Bureau of Economic Research, Inc, number bres96-1, January.
    4. Monteiro, Carlos M.F. & Dibb, Sally & Almeida, Luis Tadeu, 2010. "Revealing doctors' prescribing choice dimensions with multivariate tools: A perceptual mapping approach," European Journal of Operational Research, Elsevier, vol. 201(3), pages 909-920, March.
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