Determinants of Continuance Intention to Use Mobile Wallet Services : Light Users vs Heavy Users
DOI:
https://doi.org/10.17010/ijom/2021/v51/i2/157549Keywords:
Mobile Wallet
, Perceived Usefulness, Perceived Ease Of Use, Perceived Enjoyment, Satisfaction, Loyalty.Paper Submission Date
, January 3, 2020, Paper Sent Back for Revision, August 17, Paper Acceptance Date, November 8, 2020.Abstract
Mobile technologies and rapid popularity & usage among the businesses and consumers have led to revolutionary changes in the way the goods and services are marketed and consumed. The impact of mobile based communication strategies among modern marketers are more commonly witnessed with the revolutionary growth of mobile applications and their usage. One of the significant developments of mobile technologies that prove to be beneficial to both businesses and customers is the introduction of mobile payment systems, otherwise known as mobile wallet applications. Despite many mobile wallet users in India, it is highly challenging for service providers to understand the motivations behind customers to be loyal because of divergent customer segments and their needs. Hence, this study aimed at identifying the factors that determine the mobile wallet users’ intentions to continue using a specific service provider and how this behaviour would be different across the customer groups based on their usage. This paper proposed a theoretical research framework and validated the same with empirical data with the help of multivariate data analysis techniques, including exploratory factor analysis, t-test, and MANOVA. Perceived usefulness, perceived ease of use, perceived enjoyment, and satisfaction were found to be the significant factors influencing users' intention to continue using mobile wallet applications. Finally, the results revealed that light users and heavy users differed significantly in terms of their overall post-adoption behaviour on mobile wallet applications.Downloads
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Arvidsson, N. (2014). Consumer attitudes on mobile payment services–results from a proof of concept test. International Journal of Bank Marketing, 32(2), 150–170. https://doi.org/10.1108/IJBM-05-2013 0048
Baek, J., Park, S., & Lee, C. C. (2011). Identifying drivers for continual usage of wireless broadband. International Journal of Mobile Communications, 9(4), 317–340. https://doi.org/10.1504/IJMC.2011.041139
Bailey, A.A., Pentina, I., Mishra, A.S., & Ben Mimoun, M. S. (2017). Mobile payments adoption by US consumers : An extended TAM. International Journal of Retail & Distribution Management, 45(6), 626–640. https://doi.org/10.1108/IJRDM-08-2016-0144
Bhattacherjee, A. (2001). Understanding information systems continuance : An expectation–confirmation model. MIS Quarterly, 25(3), 351– 370. http://doi.org/10.2307/3250921
Chandra, S., Srivastava, S. C., & Theng, Y. - L. (2010). Evaluating the role of trust in consumer adoption of mobile payment systems : An empirical analysis. In, Communications of the Association for Information Systems, 27. http://doi.org/10.17705/1CAIS.02729
Cheung, C. M., & Lee, M. K. (2006). Understanding consumer trust in Internet shopping : A multidisciplinary approach. Journal of the American Society for Information Science and Technology, 57(4), 479–492. https://doi.org/10.1002/asi.20312
Cohen, J. (2013). Statistical power analysis for the behavioral sciences. Academic Press.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. http://doi.org/10.2307/249008
Dlodlo, N. (2015). The use of M-payment services in South Africa : A value based perceptions approach. International Business & Economics Research Journal (IBER), 14(1), 159–178. https://doi.org/10.19030/iber.v14i1.9038
Duane, A., O'Reilly, P., & Andreev, P. (2011). Trusting m-payments–Realising the potential of smart phones for mcommerce : A conceptual model & survey of consumers in Ireland. ICIS 2011 Proceedings, 22. https://aisel.aisnet.org/icis2011/proceedings/humanbehavior/22
Gefen, D., Karahanna, E., & Straub, D. W. (2003). Trust and TAM in online shopping : An integrated model. MIS Quarterly, 27(1), 51– 90. http://doi.org/10.2307/30036519
Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2006). Multivariate data analysis. Prentice Hall.
Hampshire, C. (2017). A mixed methods empirical exploration of UK consumer perceptions of trust, risk and usefulness of mobile payments. International Journal of Bank Marketing, 35(3), 354–369. https://doi.org/10.1108/IJBM-08-2016-0105
Kim, G., Shin, B., & Lee, H. G. (2009). Understanding dynamics between initial trust and usage intentions of mobile banking. Information Systems Journal, 19(3), 283–311. https://doi.org/10.1111/j.1365-2575.2007.00269.x
Kumar, A. A., Nayak, D. V., & Shekhar, V. (2018). Knowledge outlook of Indian consumers towards BHIM app. Indian Journal of Marketing, 48(3), 7–16. https://doi.org/10.17010/ijom/2018/v48/i3/121979
Lin, C. - P., & Bhattacherjee, A. (2008). Elucidating individual intention to use interactive information technologies : The role of network externalities. International Journal of Electronic Commerce, 13(1), 85–108. https://doi.org/10.2753/JEC1086-4415130103
Marinkovic, V., & Kalinic, Z. (2017). Antecedents of customer satisfaction in mobile commerce : Exploring the moderating effect of customization. Online Information Review, 41(2), 138–154. https://doi.org/10.1108/OIR-11-2015-0364
Nagdev, K., & Rajesh, A. (2018). Consumers' intention to adopt internet banking : An Indian perspective. Indian Journal of Marketing, 48(6), 42–56. https://doi.org/10.17010/ijom/2018/v48/i6/127835
Pal, D., Vanijja, V., & Papasratorn, B. (2015). An empirical analysis towards the adoption of NFC mobile payment system by the end user. Procedia Computer Science, 69, 13–25. https://doi.org/10.1016/j.procs.2015.10.002
Park, E., & Kim, K. J. (2013). User acceptance of long - term evolution (LTE) services : An application of extended technology acceptance model. Program : Electronic Library and Information Systems, 47(2), 188–205. https://doi.org/10.1108/00330331311313762
Singh, N., Sinha, N., & Liébana-Cabanillas, F. J. (2020). Determining factors in the adoption and recommendation of mobile wallet services in India : Analysis of the effect of innovativeness, stress to use and social influence. International Journal of Information Management, 50, 191–205. https://doi.org/10.1016/j.ijinfomgt.2019.05.022
Srivastav, G., & Mittal, A. (2016). Impact of Internet banking on customer satisfaction in private and public sector banks. Indian Journal of Marketing, 46(2), 36–49. http://dx.doi.org/10.17010//ijom/2016/v46/i2/87252
Statista. (2016). Global mobile payment revenue in 2015, with forecasts up until 2019 (in billion U.S. dollars). http://www.statista.com/statistics/226530/mobile-payment-transaction-volume-forecast
Susanto, A., Lee, H., Zo, H., & Ciganek, A. P. (2013). User acceptance of Internet banking in Indonesia : Initial trust formation. Information Development, 29(4), 309–322. https://doi.org/10.1177/0266666912467449
Tang, C. Y., Lai, C. C., Law, C. W., Liew, M. C., & Phua, V. V. (2014). Examining key determinants of mobile wallet adoption intention in Malaysia : An empirical study using the unified theory of acceptance and use of technology 2 model. International Journal of Modelling in Operations Management, 4(3/4), 248–265. https://doi.org/10.1504/IJMOM.2014.067383
Thakur, A., Shabnam, & Kaur, R. (2017). An empirical study on consumer trust in online shopping in Punjab. Indian Journal of Marketing, 47(2), 47–59. https://doi.org/10.17010/ijom/2017/v47/i2/110027
Thong, J. Y., Hong, S. - J., & Tam, K. Y. (2006). The effects of post-adoption beliefs on the expectation-confirmation model for information technology continuance. International Journal of Human-Computer Studies, 64(9), 799–810. https://doi.org/10.1016/j.ijhcs.2006.05.001
Wang, W. - T., & Li, H. - M. (2012). Factors influencing mobile services adoption : A brand-equity perspective. Internet Research, 22(2), 142–179. https://doi.org/10.1108/10662241211214548
Zhou, T. (2013). An empirical examination of continuance intention of mobile payment services. Decision Support Systems, 54(2), 1085–1091. https://doi.org/10.1016/j.dss.2012.10.034
Zmijewska, A., Lawrence, E., & Steele, R. (2004). Towards understanding of factors influencing user acceptance of mobile payment systems. ICWI, 2004, 270–277.
