Skip to main content
Log in

New Insights into e-Loyalty of Internet Banking Users in an Emerging Market Context: A Multilevel Analysis

  • Published:
Information Systems Frontiers Aims and scope Submit manuscript

Abstract

Although internet banking is considered a mature technology, digital failures and breakdowns have resulted in widespread customer dissatisfaction. However, recent examples in developed countries show that customer dissatisfaction with internet banking platforms does not necessarily erode customer loyalty. While this could be due to the strong assurance provided by institutional structures that govern the internet usage, it is not known if similar results can be found in emerging markets where internet banking technology has still not reached its saturation stage and coexists with traditional brick and mortar banking services. Thus, this study aims to develop a better understanding of the e-satisfaction-e-loyalty link in the Indian internet banking context. The moderating effects of structural assurance at the individual level and market share at the firm level are analysed on the e-satisfaction – e-loyalty link applying a multilevel modeling framework. Data collected from customers along with archival data across 21 banks in India demonstrate that structural assurance significantly moderates the e-satisfaction-e-loyalty link at the consumer level and market share regulates the link at the bank level. Also, market share is found to moderate the relationships among e-satisfaction, structural assurance, and e-loyalty. Three-way interaction results suggest that the interaction effect between e-satisfaction and structural assurance is less pronounced when market share is high rather than low. This study advances our understanding of the conditional effects of e-satisfaction on e-loyalty and elucidates how different share banks may optimize customer loyalty in an emerging market context.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  • Agarwal, R., Rastogi, S., & Mehrotra, A. (2009). Customers’ perspectives regarding e-banking in an emerging economy. Journal of Retailing and Consumer Services, 16(5), 340–351.

    Google Scholar 

  • Ali, R., Lynch, R., Melewar, T. C., & Jin, Z. (2015). The moderating influences on the relationship of corporate reputation with its antecedents and consequences: A meta-analytic review. Journal of Business Research, 68(5), 1105–1117.

    Google Scholar 

  • Anderson, R. E., & Srinivasan, S. S. (2003). E-satisfaction and e-loyalty: A contingency framework. Psychology and Marketing, 20(2), 123–138.

    Google Scholar 

  • Anderson, E. W., Fornell, C., & Lehmann, D. R. (1994). Customer satisfaction, market share, and profitability: Findings from Sweden. Journal of Marketing, 58(3), 53–66.

    Google Scholar 

  • Bettman, J, R. (1979). Information processing theory of consumer choice. Addison-Wesley Pub. Co.

  • Blut, M., Frennea, C. M., Mittal, V., & Mothersbaugh, D. L. (2015). How procedural, financial and relational switching costs affect customer satisfaction, repurchase intentions, and repurchase behavior: A meta-analysis. International Journal of Research in Marketing, 32(2), 226–229.

    Google Scholar 

  • Caminal, R., & Vives, X. (1996). Why market shares matter: An information-based theory. The Rand Journal of Economics, 27(2), 221–239.

    Google Scholar 

  • Castañeda, J. A. (2011). Relationship between customer satisfaction and loyalty on the internet. Journal of Business and Psychology, 26(3), 371–383.

    Google Scholar 

  • Chandrashekaran, M., Rotte, K., Tax, S. S., & Grewal, R. (2007). Satisfaction strength and customer loyalty. Journal of Marketing Research, 44(1), 153–163.

    Google Scholar 

  • Chandy, R. K., & Tellis, G. J. (2000). The incumbent’s curse? Incumbency, size, and radical product innovation. Journal of Marketing, 64(3), 1–17.

    Google Scholar 

  • Chen, S.-C. (2012). The customer satisfaction–loyalty relation in an interactive e-service setting: The mediators. Journal of Retailing and Consumer Services, 19(2), 202–210.

    Google Scholar 

  • Chen, J. V., Yen, D. C., Pornpriphet, W., & Widjaja, A. E. (2015). E-commerce web site loyalty: A cross cultural comparison. Information Systems Frontiers, 17(6), 1283–1299.

    Google Scholar 

  • Connelly, B. L., Certo, S. T., Ireland, R. D., & Reutzel, C. R. (2011). Signaling theory: A review and assessment. Journal of Management, 37(1), 39–67.

    Google Scholar 

  • Danaher, P. J., Wilson, I. W., & Davis, R. A. (2003). A comparison of online and offline consumer brand loyalty. Marketing Science 22, 22(4), 461–476.

    Google Scholar 

  • Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340.

    Google Scholar 

  • Dawson, J. F., & Richter, A. W. (2006). Probing three-way interactions in moderated multiple regression: Development and application of a slope difference test. Journal of Applied Psychology, 91, 917–926.

    Google Scholar 

  • Degeratu, A. M., Rangaswamy, A., & Wu, J. (2000). Consumer choice behavior in online and traditional supermarkets: The effects of brand name, price, and other search attributes. International Journal of Research in Marketing, 17(1), 55–78.

    Google Scholar 

  • Ding, X., Verma, R., & Iqbal, Z. (2007). Self-service technology and online financial service choice. International Journal of Service Industry Management, 18(3), 246–268.

    Google Scholar 

  • Ding, X., Hu, P. D. J., Verma, R., & Wardell, D. G. (2010). The impact of service system design and flow experience on customer satisfaction in online financial services. Journal of Service Research, 13(1), 96–110.

    Google Scholar 

  • Ehrenberg, A. S., Goodhardt, G. J., & Barwise, T. P. (1990). Double jeopardy revisited. Journal of Marketing, 54(3), 82–91.

    Google Scholar 

  • Ellinger, A. E., Lynch, D. F., Andzulis, J. K., & Smith, R. J. (2003). B-to-B commerce: A content analytical assessment of motor carrier websites. Journal of Business Logistics, 24(1), 199–220.

    Google Scholar 

  • Erdem, T., & Swait, J. (1998). Brand equity as a signaling phenomenon. Journal of Consumer Psychology, 7(2), 131–157.

    Google Scholar 

  • Fang, Y., Qureshi, I., Sun, H., McCole, P., Ramsey, E., & Lim, K. H. (2014). Trust, satisfaction, and online repurchase intention: The moderating role of perceived effectiveness of e-commerce institutional mechanisms. MIS Quarterly, 38(2), 407–427.

    Google Scholar 

  • Fazio, R. H., & Zanna, M. P. (1981). Direct experience and attitude-behavior consistency. Advances in Experimental Social Psychology, 14, 161–202.

    Google Scholar 

  • Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50.

    Google Scholar 

  • Gefen, D., & Pavlou, P. A. (2012). The boundaries of trust and risk: The quadratic moderating role of institutional structures. Information Systems Research, 23(3-part-2), 940–959.

    Google Scholar 

  • Grabner-Kräuter, S. (2010). Toward a better understanding of trust in web 2.0 social networks. In M. K. Brady & M. D. Hartline (Eds.), Marketing Theory and Applications, 2010 AMA Marketing Educator’s conference proceedings (pp. 313–321).

    Google Scholar 

  • Gu, J.-C., Lee, S.-C., & Suh, Y.-H. (2009). Determinants of behavioral intention to mobile banking. Expert Systems with Applications, 36(9), 11605–11616.

    Google Scholar 

  • Hannan, T. H., & McDowell, J. M. (1984). The determinants of technology adoption: The case of the banking firm. The Rand Journal of Economics, 15(3), 328–335.

    Google Scholar 

  • Harris, L. C., & Goode, M. M. H. (2004). The four levels of loyalty and the pivotal role of trust: A study of online service dynamics. Journal of Retailing, 80(2), 139–158.

    Google Scholar 

  • Heck R, Thomas S, Tabata L. (2013). Multilevel and longitudinal modelling with IBM SPSS. Routledge.

  • Hellofs, L. L., & Jacobson, R. (1999). Market share and customers’ perceptions of quality: When can firms grow their way to higher versus lower quality? Journal of Marketing, 63(1), 16–25.

    Google Scholar 

  • Hoeffler, S., & Keller, K. L. (2003). The marketing advantages of strong brands. Journal of Brand Management, 10(6), 421–445.

    Google Scholar 

  • Hoehle, H., Scornavacca, E., & Huff, S. (2012). Three decades of research on consumer adoption and utilization of electronic banking channels: A literature analysis. Decision Support Systems, 54(1), 122–132.

    Google Scholar 

  • Homburg, C., & Giering, A. (2001). Personal characteristics as moderators of the relationship between customer satisfaction and loyalty—An empirical analysis. Psychology and Marketing, 18(1), 43–66.

    Google Scholar 

  • iebf.org (2016). Banking December 2016 available at https://www.ibef.org/download/Banking-December-2016.pdf. Accessed 22 July 2020.

  • Jarvenpaa, S. L., Tractinsky, N., & Saarinen, L. (1999). Consumer trust in an internet store: A cross-cultural validation. Journal of Computer-Mediated Communication, 5(2), JCMC526. https://doi.org/10.1111/j.1083-6101.1999.tb00337.x.

    Article  Google Scholar 

  • Jha, S., Deitz, G. D., Babakus, E., & Yavas, U. (2013). The role of corporate image for quality in the formation of attitudinal service loyalty. Journal of Service Research, 16(2), 155–170.

    Google Scholar 

  • Jin, B., Park, J. Y., & Kim, J. (2008). Cross-cultural examination of the relationships among firm reputation, e-satisfaction, e-trust, and e-loyalty. International Marketing Review, 25(3), 324–337.

    Google Scholar 

  • Jones, T, O., and Sasser, W, E. (1995). “Why satisfied customers defect”, Harvard Business Review, (November/December), 88–99.

  • Kardes, F. R., Posavac, S. S., & Cronley, M. L. (2004). Consumer inference: A review of processes, bases, and judgment contexts. Journal of Consumer Psychology, 14(3), 230–256.

    Google Scholar 

  • Karimi, S. (2019). “Cross-visiting behaviour of online consumers across retailers’ and comparison sites, a macro-study”, Information Systems Frontiers, 1-12. https://doi.org/10.1007/s10796-019-09967-1.

  • Karimov, F. P., & Brengman, M. (2014). An examination of trust assurances adopted by top internet retailers: Unveiling some critical determinants. Electronic Commerce Research, 14(4), 459–496.

    Google Scholar 

  • Kesharwani, A., & Bisht, S. S. (2012). The impact of trust and perceived risk on internet banking adoption in India: An extension of technology acceptance model. International Journal of Bank Marketing, 30(4), 303–322.

    Google Scholar 

  • Kim, K. K., & Prabhakar, B. (2004). Initial trust and the adoption of B2C e-commerce: The case of internet banking. ACM Sigmis Database, 35(2), 50–64.

    Google Scholar 

  • Kim, E., and Tadisina, S. (2003). “Customers’ initial trust in e-businesses: How to measure customers' initial trust”, AMCIS 2003 Proceedings, 5.

  • Kim, H.-W., Xu, Y., & Koh, J. (2004). A comparison of online trust building factors between potential customers and repeat customers. Journal of the Association for Information Systems, 5(10), 392–420.

    Google Scholar 

  • Kirmani, A., & Rao, A. R. (2000). No pain, no gain: A critical review of the literature on signaling unobservable product quality. Journal of Marketing, 64(2), 66–79.

    Google Scholar 

  • Kumar, V., Pozza, I. D., & Ganesh, J. (2013). Revisiting the satisfaction–loyalty relationship: Empirical generalizations and directions for future research. Journal of Retailing, 89(3), 246–262.

    Google Scholar 

  • Kumar, V., Sunder, S., & Sharma, A. (2015). Leveraging distribution to maximize firm performance in emerging markets. Journal of Retailing, 91(4), 627–643.

    Google Scholar 

  • Laroche, M., Yang, Z., McDougall, G. H. G., & Bergeron, J. (2005). Internet versus bricks-and-mortar retailers: An investigation into intangibility and its consequences. Journal of Retailing, 81(4), 251–267.

    Google Scholar 

  • Liu, Y., & Yang, R. (2009). Competing loyalty programs: Impact of market saturation, market share, and category expandability. Journal of Marketing, 73(1), 93–108.

    Google Scholar 

  • Liu, Y., Eisingerich, A. P., Auh, S., Merlo, O., & Chun, H. E. H. (2015). Service firm performance transparency: How, when, and why does it pay off? Journal of Service Research, 18(4), 451–467.

    Google Scholar 

  • López-Miguens, M. J., & Vázquez, E. G. (2017). An integral model of e-loyalty from the consumer's perspective. Computers in Human Behavior, 72, 397–411.

    Google Scholar 

  • Malhotra, P., & Singh, B. (2010). An analysis of internet banking offerings and its determinants in India. Internet Research, 20(91), 87–106.

    Google Scholar 

  • Malhotra, N., Sahadev, S., & Purani, K. (2017). Psychological contract violation and customer intention to reuse online retailers: Exploring mediating and moderating mechanisms. Journal of Business Research, 75, 17–28.

    Google Scholar 

  • Mansingh, G., Rao, L., Osei-Bryson, K. M., & Mills, A. (2015). Profiling internet banking users: A knowledge discovery in data mining process model based approach. Information Systems Frontiers, 17(1), 193–215.

    Google Scholar 

  • McKnight, D. H., Choudhury, V., & Kacmar, C. J. (2002a). The impact of initial consumer trust on intentions to transact with a web site: A trust building model. The Journal of Strategic Information Systems, 27, 297–323.

    Google Scholar 

  • McKnight, D. H., Choudhury, V., & Kacmar, C. J. (2002b). Developing and validating trust measures for e-commerce: An integrative typology. Information Systems Research, 13(3), 334–359.

    Google Scholar 

  • McKnight, D. H., Kacmar, C. J., & Choudhury, V. (2004). Shifting factors and the ineffectiveness of third party assurance seals: A two-stage model of initial trust in a web business. Electronic Markets, 14(3), 252–266.

    Google Scholar 

  • Mittal, B. (1999). The advertising of services: Meeting the challenge of intangibility. Journal of Service Research, 2(1), 98–116.

    Google Scholar 

  • Monroe, K. B., & Krishnan, R. (1985). The effect of price-comparison advertising on buyers’ perceptions of acquisition value, transaction value, and behavioral intentions. Journal of Marketing, 62(2), 46–59.

    Google Scholar 

  • Nor, K. M., & Pearson, M. (2007). An exploratory study into the adoption of internet banking in a developing country: Malaysia. Journal of Internet Commerce, 7(1), 29–73.

    Google Scholar 

  • Novak, T. P., Hoffman, D. L., & Yung, Y. (2000). Measuring the customer experience in online environments: A structural modeling approach. Marketing Science, 19(1), 22–42.

    Google Scholar 

  • Oliver, R. L. (1999). Whence consumer loyalty. Journal of Marketing, 63, 33–44.

    Google Scholar 

  • Olsen, S. O. (1999). Strength and conflicting valence in the measurement of food attitudes and preferences. Food Quality and Preference, 10, 483–494.

    Google Scholar 

  • Ou, Y.-C., Verhoef, P. C., & Wiesel, T. (2017). The effects of customer equity drivers on loyalty across services industries and firms. Journal of the Academy of Marketing Science, 45(3), 336–356.

    Google Scholar 

  • Ozturk, A. B., Nusair, K., Okumus, F., & Singh, D. (2017). Understanding mobile hotel booking loyalty: An integration of privacy calculus theory and trust-risk framework. Information Systems Frontiers, 19(4), 753–767.

    Google Scholar 

  • Pan, Y., & Zinkhan, G. M. (2006). Exploring the impact of online privacy disclosures on consumer trust. Journal of Retailing, 82(4), 331–338.

    Google Scholar 

  • Parsons, A (2018). “Teflon TSB rides out online banking fiasco”, available at: https://news.sky.com/story/teflon-tsb-rides-out-online-banking-fiasco-11451200 accessed on 9/08/2019.

  • Paulssen, M., Roulet, R., & Wilke, S. (2014). Risk as moderator of the trust-loyalty relationship. European Journal of Marketing, 48(5/6), 964–981.

    Google Scholar 

  • Pavlou, P. A., & Gefen, D. (2005). Psychological contract violation in online marketplaces: Antecedents, consequences, and moderating role. Information Systems Research, 16(4), 372–399.

    Google Scholar 

  • Preacher, K. J., Curran, P. J., & Bauer, D. J. (2006). Computational tools for probing interactions in multiple linear regression, multilevel modeling, and latent curve analysis. Journal of Educational and Behavioral Statistics, 31(4), 437–448.

    Google Scholar 

  • Price, L. J., & Dawar, N. (2002). The joint effects of brands and warranties in signaling new product quality. Journal of Economic Psychology, 23(2), 165–190.

    Google Scholar 

  • Read, S. (2018). “TSB crises continues eight weeks on”: Available at https://www.bbc.co.uk/news/business-44454314 accessed on 09/09/2019.

  • Saini, Y. K., & Lynch Jr., J. G. (2016). The effects of the online and offline purchase environment on consumer choice of familiar and unfamiliar brands. International Journal of Research in Marketing, 33(3), 702–705.

    Google Scholar 

  • Schlosser, A. E., White, T. B., & Lloyd, S. M. (2006). Converting web site visitors into buyers: How web site investment increases consumer trusting beliefs and online purchase intentions. Journal of Marketing, 70(2), 133–148.

    Google Scholar 

  • Serrano-Cinca, C., Fuertes-Callén, Y., & Gutiérrez-Nieto, B. (2007). Online reporting by banks: A structural modelling approach. Online Information Review, 31(3), 310–332.

    Google Scholar 

  • Sharma, N., & Patterson, P. G. (2000). Switching costs, alternative attractiveness and experience as moderators of relationship commitment in professional, consumer services. International Journal of Service Industry Management, 11(5), 470–490.

    Google Scholar 

  • The Guardian (2015). “A History of UK Bank’s System Failures”, available at https://www.theguardian.com/business/2015/aug/28/recent-history-uk-banks-system-failures accessed on 10/08/2018.

  • The Guardian (2018), “TSB Customers: it is still a mess”, https://www.theguardian.com/business/live/2018/apr/25/tsb-online-banking-mobile-app-paul-pester-business-live? accessed on 09/08/2019.

  • Toufaily, E., Ricard, L., & Perrien, J. (2013). Customer loyalty to a commercial website: Descriptive meta-analysis of the empirical literature and proposal of an integrative model. Journal of Business Research, 66(9), 1436–1447.

    Google Scholar 

  • Tuu, H. H., & Olsen, O. S. (2016). The satisfaction-loyalty relationship in marketing: A critical review and future research. Journal of Economics and Development, 18(1), 92–116.

    Google Scholar 

  • Tuu, H. H., Olsen, O. S., & Linh, P. T. T. (2011). The moderator effects of perceived risk, objective knowledge and certainty in the satisfaction-loyalty relationship. Journal of Consumer Marketing, 28(5), 363–375.

    Google Scholar 

  • Venkatesh, V., & Davis, F. D. (1996). A model of the antecedents of perceived ease of use: Development and test. Decision Sciences, 27(3), 451–481.

    Google Scholar 

  • Verma, S. (2015). India on course to overtake US next month in internet User Base, Livemint.com available at: http://www.livemint.com/Politics/9Vipq3XmcfQuhJRMBleuwL/Indias-Internet-users-set-to-increase-49-to-402-million-by.html accessed on 03/03/2016.

  • Walsh, G., Evanschitzky, H., & Wunderlich, M. (2008). Identification and analysis of moderator variables: Investigating the customer satisfaction-loyalty link. European Journal of Marketing, 42(9/10), 977–1004.

    Google Scholar 

  • Wells, J, D., Valacich, J, S. & Hess, T, J. (2011). “What signal are you sending? How website quality influences perceptions of product quality and purchase intentions”, MIS Quarterly, 373-396.

  • Wolfinbarger, M., & Gilly, M. C. (2003). eTailQ: Dimensionalizing, measuring and predicting etail quality. Journal of Retailing, 79(3), 183–198.

    Google Scholar 

  • Wu, W.-Y., & Chang, M. (2007). The role of risk attitude on online shopping: Experience, customer satisfaction, and repurchase intention. Social Behavior and Personality: An International Journal, 35(4), 453–468.

    Google Scholar 

  • Yap, K. B., Wong, D. H., Loh, C., & Bak, R. (2010). Offline and online banking - where to draw the line when building trust in e-banking? International Journal of Bank Marketing, 28(1), 27–46.

    Google Scholar 

  • Zhou, T. (2012). Understanding users’ initial trust in mobile banking: An elaboration likelihood perspective. Computers in Human Behavior, 28(4), 1518–1525.

    Google Scholar 

  • Zucker, L. G. (1986). Production of trust: Institutional source of economic structure. 1840–1920. Research in Organizational Behavior, 8, 53–111.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Neeru Malhotra.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Malhotra, N., Sahadev, S., Leeflang, P.S.H. et al. New Insights into e-Loyalty of Internet Banking Users in an Emerging Market Context: A Multilevel Analysis. Inf Syst Front 23, 1521–1536 (2021). https://doi.org/10.1007/s10796-020-10046-z

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10796-020-10046-z

Keywords

Navigation