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The effect of relationship and transactional characteristics on customer retention in emerging online markets

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  • Jaiswal, Anand K.
  • Niraj, Rakesh
  • Park, Chang Hee
  • Agarwal, Manoj K.

Abstract

Trust is important for maintaining customer relationships in online retailing, as customers have only a virtual connection with sellers. This is especially true in online markets of emerging economies, given their lack of trust-enhancing infrastructure and well-functioning regulatory institutions. We investigate the effect of trust and a set of other relationship and transactional characteristics—mode of customer acquisition, length of relationship, service communication, product return activity, and type of products purchased—on retention in the context of emerging online markets. We obtain data from an online retailer in India that include both survey and transaction information. Using a latent attrition model, we find that trust positively affects customer retention behavior. We also find that relationship length, service communication, product return experience, and the type of products purchased affect retention. Furthermore, we conduct split-sample analysis and suggest some managerial actions on spending efforts to enhance retention.

Suggested Citation

  • Jaiswal, Anand K. & Niraj, Rakesh & Park, Chang Hee & Agarwal, Manoj K., 2018. "The effect of relationship and transactional characteristics on customer retention in emerging online markets," Journal of Business Research, Elsevier, vol. 92(C), pages 25-35.
  • Handle: RePEc:eee:jbrese:v:92:y:2018:i:c:p:25-35
    DOI: 10.1016/j.jbusres.2018.07.007
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    as
    1. Ittner, CD & Larcker, DF, 1998. "Are nonfinancial measures leading indicators of financial performance? An analysis of customer satisfaction," Journal of Accounting Research, Wiley Blackwell, vol. 36, pages 1-35.
    2. Kumar, V. & Pozza, Ilaria Dalla & Ganesh, Jaishankar, 2013. "Revisiting the Satisfaction–Loyalty Relationship: Empirical Generalizations and Directions for Future Research," Journal of Retailing, Elsevier, vol. 89(3), pages 246-262.
    3. Makoto Abe, 2009. "“Counting Your Customers” One by One: A Hierarchical Bayes Extension to the Pareto/NBD Model," Marketing Science, INFORMS, vol. 28(3), pages 541-553, 05-06.
    4. Erik Brynjolfsson & Michael D. Smith, 2000. "Frictionless Commerce? A Comparison of Internet and Conventional Retailers," Management Science, INFORMS, vol. 46(4), pages 563-585, April.
    5. Stathopoulou, Anastasia & Balabanis, George, 2016. "The effects of loyalty programs on customer satisfaction, trust, and loyalty toward high- and low-end fashion retailers," Journal of Business Research, Elsevier, vol. 69(12), pages 5801-5808.
    6. Peter S. Fader & Bruce G. S. Hardie & Ka Lok Lee, 2005. "“Counting Your Customers” the Easy Way: An Alternative to the Pareto/NBD Model," Marketing Science, INFORMS, vol. 24(2), pages 275-284, August.
    7. Malhotra, Neeru & Sahadev, Sunil & Purani, Keyoor, 2017. "Psychological contract violation and customer intention to reuse online retailers: Exploring mediating and moderating mechanisms," Journal of Business Research, Elsevier, vol. 75(C), pages 17-28.
    8. Pan, Yue & Sheng, Simon & Xie, Frank T., 2012. "Antecedents of customer loyalty: An empirical synthesis and reexamination," Journal of Retailing and Consumer Services, Elsevier, vol. 19(1), pages 150-158.
    9. Morwitz, Vicki G. & Steckel, Joel H. & Gupta, Alok, 2007. "When do purchase intentions predict sales?," International Journal of Forecasting, Elsevier, vol. 23(3), pages 347-364.
    10. Garbarino, Ellen & Strahilevitz, Michal, 2004. "Gender differences in the perceived risk of buying online and the effects of receiving a site recommendation," Journal of Business Research, Elsevier, vol. 57(7), pages 768-775, July.
    11. Ashraf, Abdul R. & Razzaque, Mohammed A. & Thongpapanl, Narongsak (Tek), 2016. "The role of customer regulatory orientation and fit in online shopping across cultural contexts," Journal of Business Research, Elsevier, vol. 69(12), pages 6040-6047.
    12. David A. Schweidel & George Knox, 2013. "Incorporating Direct Marketing Activity into Latent Attrition Models," Marketing Science, INFORMS, vol. 32(3), pages 471-487, May.
    13. Pascual-Miguel, Félix J. & Agudo-Peregrina, Ángel F. & Chaparro-Peláez, Julián, 2015. "Influences of gender and product type on online purchasing," Journal of Business Research, Elsevier, vol. 68(7), pages 1550-1556.
    14. McCarty, John A. & Hastak, Manoj, 2007. "Segmentation approaches in data-mining: A comparison of RFM, CHAID, and logistic regression," Journal of Business Research, Elsevier, vol. 60(6), pages 656-662, June.
    15. Russell-Bennett, Rebekah & McColl-Kennedy, Janet R. & Coote, Leonard V., 2007. "Involvement, satisfaction, and brand loyalty in a small business services setting," Journal of Business Research, Elsevier, vol. 60(12), pages 1253-1260, December.
    16. Dan J. Kim & Donald L. Ferrin & H. Raghav Rao, 2009. "Trust and Satisfaction, Two Stepping Stones for Successful E-Commerce Relationships: A Longitudinal Exploration," Information Systems Research, INFORMS, vol. 20(2), pages 237-257, June.
    17. Park, Chang Hee & Park, Young-Hoon & Schweidel, David A., 2014. "A multi-category customer base analysis," International Journal of Research in Marketing, Elsevier, vol. 31(3), pages 266-279.
    18. Ruth N. Bolton, 1998. "A Dynamic Model of the Duration of the Customer's Relationship with a Continuous Service Provider: The Role of Satisfaction," Marketing Science, INFORMS, vol. 17(1), pages 45-65.
    19. Jaiswal, Anand K. & Niraj, Rakesh & Venugopal, Pingali, 2010. "Context-general and Context-specific Determinants of Online Satisfaction and Loyalty for Commerce and Content Sites," Journal of Interactive Marketing, Elsevier, vol. 24(3), pages 222-238.
    20. Fader, Peter S. & Hardie, Bruce G.S., 2009. "Probability Models for Customer-Base Analysis," Journal of Interactive Marketing, Elsevier, vol. 23(1), pages 61-69.
    21. David C. Schmittlein & Donald G. Morrison & Richard Colombo, 1987. "Counting Your Customers: Who-Are They and What Will They Do Next?," Management Science, INFORMS, vol. 33(1), pages 1-24, January.
    22. Bin Gu & Jaehong Park & Prabhudev Konana, 2012. "Research Note ---The Impact of External Word-of-Mouth Sources on Retailer Sales of High-Involvement Products," Information Systems Research, INFORMS, vol. 23(1), pages 182-196, March.
    23. Gerald Häubl & Valerie Trifts, 2000. "Consumer Decision Making in Online Shopping Environments: The Effects of Interactive Decision Aids," Marketing Science, INFORMS, vol. 19(1), pages 4-21, May.
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    3. Arditto, Luis & Cambra-Fierro, Jesús J. & Fuentes-Blasco, María & Jaraba, Ana Olavarría & Vázquez-Carrasco, Rosario, 2020. "“How does customer perception of salespeople influence the relationship? A study in an emerging economyâ€," Journal of Retailing and Consumer Services, Elsevier, vol. 54(C).

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