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Understanding multi-channel banking customers

Author

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  • Cortiñas, Mónica
  • Chocarro, Raquel
  • Villanueva, María Luisa

Abstract

This paper contributes to the knowledge of the impact of the multi-channel strategy by analyzing its effects on one key aspect of the behavior of financial services customers. We analyze the factors influencing the extent of multi-channel shopping. Using a customer database, the study estimates one latent class regression model to control for heterogeneity, finding that customers' acquisition of diverse financial products and services and the total number of financial services are antecedents of multi-channel behavior. The study contributes a new measure to better assess the level of multi-channel consumer behavior.

Suggested Citation

  • Cortiñas, Mónica & Chocarro, Raquel & Villanueva, María Luisa, 2010. "Understanding multi-channel banking customers," Journal of Business Research, Elsevier, vol. 63(11), pages 1215-1221, November.
    • Handle: RePEc:eee:jbrese:v:63:y:2010:i:11:p:1215-1221
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    References listed on IDEAS

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    1. Jacquemin, Alexis P & Berry, Charles H, 1979. "Entropy Measure of Diversification and Corporate Growth," Journal of Industrial Economics, Wiley Blackwell, vol. 27(4), pages 359-369, June.
    2. Swait, Joffre & Adamowicz, Wiktor, 2001. "The Influence of Task Complexity on Consumer Choice: A Latent Class Model of Decision Strategy Switching," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 28(1), pages 135-148, June.
    3. Kamel Jedidi & Harsharanjeet S. Jagpal & Wayne S. DeSarbo, 1997. "Finite-Mixture Structural Equation Models for Response-Based Segmentation and Unobserved Heterogeneity," Marketing Science, INFORMS, vol. 16(1), pages 39-59.
    4. Neslin, Scott A. & Shankar, Venkatesh, 2009. "Key Issues in Multichannel Customer Management: Current Knowledge and Future Directions," Journal of Interactive Marketing, Elsevier, vol. 23(1), pages 70-81.
    5. Coelho, Filipe & Easingwood, Chris, 2008. "A model of the antecedents of multiple channel usage," Journal of Retailing and Consumer Services, Elsevier, vol. 15(1), pages 32-41.
    6. David Godes & Dina Mayzlin, 2004. "Using Online Conversations to Study Word-of-Mouth Communication," Marketing Science, INFORMS, vol. 23(4), pages 545-560, June.
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    Cited by:

    1. Bhatnagar, Amit & Papatla, Purushottam, 2016. "Increasing online sales by facilitating spillover shopping," Journal of Retailing and Consumer Services, Elsevier, vol. 29(C), pages 58-69.
    2. Floh, Arne & Zauner, Alexander & Koller, Monika & Rusch, Thomas, 2014. "Customer segmentation using unobserved heterogeneity in the perceived-value–loyalty–intentions link," Journal of Business Research, Elsevier, vol. 67(5), pages 974-982.
    3. Ryu, Do-Hyeon & Lim, Chiehyeon & Kim, Kwang-Jae, 2020. "Development of a service blueprint for the online-to-offline integration in service," Journal of Retailing and Consumer Services, Elsevier, vol. 54(C).
    4. Gensler, Sonja & Leeflang, Peter & Skiera, Bernd, 2013. "Comparing methods to separate treatment from self-selection effects in an online banking setting," Journal of Business Research, Elsevier, vol. 66(9), pages 1272-1278.
    5. Maik Dehnert, 2020. "Sustaining the current or pursuing the new: incumbent digital transformation strategies in the financial service industry," Business Research, Springer;German Academic Association for Business Research, vol. 13(3), pages 1071-1113, November.
    6. Harris, Patricia & Dall’Olmo Riley, Francesca & Hand, Chris, 2021. "Multichannel shopping: The effect of decision making style on shopper journey configuration and satisfaction," Journal of Retailing and Consumer Services, Elsevier, vol. 58(C).
    7. Maity, Moutusy & Dass, Mayukh & Kumar, Piyush, 2018. "The impact of media richness on consumer information search and choice," Journal of Business Research, Elsevier, vol. 87(C), pages 36-45.
    8. Jan-Michael Becker & Christian Ringle & Marko Sarstedt & Franziska Völckner, 2015. "How collinearity affects mixture regression results," Marketing Letters, Springer, vol. 26(4), pages 643-659, December.
    9. Radovan Bačík & Beata Gavurova & Igor Fedorko & Richard Fedorko, 2021. "Website quality factor as a multidimensional construct and its impact on the use of e-banking," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 9(1), pages 542-557, September.
    10. Saghiri, Soroosh & Wilding, Richard & Mena, Carlos & Bourlakis, Michael, 2017. "Toward a three-dimensional framework for omni-channel," Journal of Business Research, Elsevier, vol. 77(C), pages 53-67.
    11. Coussement, Kristof & Van den Bossche, Filip A.M. & De Bock, Koen W., 2014. "Data accuracy's impact on segmentation performance: Benchmarking RFM analysis, logistic regression, and decision trees," Journal of Business Research, Elsevier, vol. 67(1), pages 2751-2758.
    12. Al-Qeisi, Kholoud & Dennis, Charles & Alamanos, Eleftherios & Jayawardhena, Chanaka, 2014. "Website design quality and usage behavior: Unified Theory of Acceptance and Use of Technology," Journal of Business Research, Elsevier, vol. 67(11), pages 2282-2290.
    13. Kim, Jikyung (Jeanne) & Song, Hyeasinn & Choi, Jeonghye & Kim, Yongseob & Hong, Jeonghan, 2021. "Channel stickiness in the shopping journey for electronics: Evidence from China and South Korea," Journal of Business Research, Elsevier, vol. 130(C), pages 506-516.
    14. Reis, João & Amorim, Marlene & Melão, Nuno, 2019. "Multichannel service failure and recovery in a O2O era: A qualitative multi-method research in the banking services industry," International Journal of Production Economics, Elsevier, vol. 215(C), pages 24-33.
    15. Ryan W. Buell & Dennis Campbell & Frances X. Frei, 2021. "The Customer May Not Always Be Right: Customer Compatibility and Service Performance," Management Science, INFORMS, vol. 67(3), pages 1468-1488, March.
    16. Mencarelli, Rémi & Rivière, Arnaud & Lombart, Cindy, 2021. "Do myriad e-channels always create value for customers? A dynamic analysis of the perceived value of a digital information product during the usage phase," Journal of Retailing and Consumer Services, Elsevier, vol. 63(C).
    17. Bhatnagar, Amit & Syam, Siddhartha S., 2014. "Allocating a hybrid retailer's assortment across retail stores: Bricks-and-mortar vs online," Journal of Business Research, Elsevier, vol. 67(6), pages 1293-1302.
    18. Hosseini, Monireh & Shajari, Sepideh & Akbarabadi, Mina, 2022. "Identifying multi-channel value co-creator groups in the banking industry," Journal of Retailing and Consumer Services, Elsevier, vol. 65(C).

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