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Indian Journal of Marketing

ISSN: 0973-8703 Frequency: Monthly Peer Review: Double-blind Published since: 1968 Language: English
A publication of AMCPL
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New Delhi, India
Indexed in: Scopus Q3 UGC-CARE Group II ABDC: C Google Scholar J-Gate NAAS NISCAIR Crossref

Original Article

Open Access Original Article

Determinants of Continuance Intention to Use Mobile Wallet Services : Light Users vs Heavy Users

T. Thirumal Reddy1B. Madhusudhana Rao2

1 Faculty – Marketing, Siva Sivani Institute of Management, NH-7, Kompally, Secunderabad - 500 014, Telangana

2 Professor, School of Management Studies, Vignan’s University (VFSTR), Vadlamudi - 522 213, Guntur Dist., Andhra Pradesh

Volume 51
Issue 2
Pages 29–42
Year 2021
Received: Jan. 3, 2020 Accepted: Nov. 8, 2020 Published: Feb. 28, 2021
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.

Keywords Mobile Wallet Perceived Usefulness Perceived Ease Of Use Perceived Enjoyment Satisfaction Loyalty
How to Cite

T. Thirumal Reddy, B. Madhusudhana Rao (2021). Determinants of Continuance Intention to Use Mobile Wallet Services : Light Users vs Heavy Users. Indian Journal of Marketing, 51(2), 29–42. https://doi.org/10.17010/ijom/2021/v51/i2/157549

References
  1. 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
  2. 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
  3. 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
  4. Bhattacherjee, A. (2001). Understanding information systems continuance : An expectation–confirmation model. MIS Quarterly, 25(3), 351– 370. http://doi.org/10.2307/3250921
  5. 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
  6. 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
  7. Cohen, J. (2013). Statistical power analysis for the behavioral sciences. Academic Press.
  8. 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
  9. 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
  10. 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
  11. 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
  12. Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2006). Multivariate data analysis. Prentice Hall.
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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
  19. 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
  20. 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
  21. 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
  22. 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
  23. 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
  24. 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
  25. 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
  26. 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
  27. 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
  28. 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
  29. 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
  30. Zmijewska, A., Lawrence, E., & Steele, R. (2004). Towards understanding of factors influencing user acceptance of mobile payment systems. ICWI, 2004, 270–277.
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