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Castanha, Jick
- An Empirical Study on Continuance Intention to Use Mobile Payment Applications in Goa, India
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1 Goa Business School, Goa University, Goa, IN
2 Telkom University, Bandung, ID
1 Goa Business School, Goa University, Goa, IN
2 Telkom University, Bandung, ID
Source
International Journal of Banking, Risk and Insurance, Vol 10, No 2 (2022), Pagination: 27-40Abstract
The aim of the study is to examine the factors influencing users’ continuance intention to adopt and use mobile payment applications, using the extended UTAUT2 model. The study was carried out using a structured questionnaire, among 203 users of mobile payment applications. To validate the proposed model, Structural Equation Modelling (SEM) technique was used. The result indicated that perceived trust (PT) is the strongest predictor of continuance intention to use mobile payment applications, followed by price saving (PS), habit (HB), social influence (SI), and hedonic motivation (HM). On the other hand, performance expectancy (PE), effort expectancy (EE), and facilitating condition (FC) do not influence the adoption of mobile payment applications. The UTAUT2 model with perceived trust was able to predict 69 per cent of variation in the users’ intention to use mobile payment applications on a regular basis. The service providers and developers of mobile payment applications must emphasise on improving the privacy and security of the user’s information. Moreover, developing appropriate strategies for encouraging the new users, along with motivating the existing users to continuously use mobile payment applications, will act as a unique selling proposition for the company.
Keywords
Mobile Payment Applications, Wallet, E-Payment, Continuance Intention, UTAUT2, Perceived Trust
References
- Akturan, U., & Tezcan, N. (2012). Mobile banking adoption of the youth market: Perceptions and intentions. Marketing Intelligence and Planning, 30(4), 444-459.
- International Journal of Banking, Risk and Insurance Volume 10 Issue 2 September 2022
- Alalwan, A. A., Dwivedi, Y. K., & Rana, N. P. (2017). Factors influencing adoption of mobile banking by Jordanian bank customers: Extending UTAUT2 with trust. International Journal of Information Management, 37(3), 99-110.
- Castanha, J., Pillai, S. K. B., & Indrawati. (2021). What influences consumer behavior towards information and communication technology applications: A systematic literature review of UTAUT2 model. Advances in Intelligent Systems and Computing: ICT Systems and Sustainability: Proceedings of ICT4SD 2020, (vol. 1, pp. 317-327). Singapore: Springer Nature. Retrieved from https://doi.org/10.1007/978-981-15-8289-9_30
- Chen, L., & Nath, R. (2008). Determinants of mobile payments: An empirical analysis. Journal of International Technology and Information, 17(1), 9-20.
- Cheong, J. H., Park, M. C., & Hwang, J. H. (2004). Mobile payment adoption in Korea: Switching from credit card. ITS 15th Biennial Conference, Berlin, 4-7.
- Chin, W. W. (2000). Frequently asked questions – Partial least squares and PLS-graph. Retrieved June 9, 2010, from http://discnt.cba.uh.edu/chin/plsfaq.htm Cronbach, L. J., & Meehl, P. E. (1955). Construct validity in psychological tests. Psychological Bulletin, 52(4), 281-302.
- Cudjoe, A. G., Anim, P. A., & Nyanyofio, J. G. N. T. (2015). Determinants of mobile banking adoption in the Ghanaian banking industry: A case of access bank Ghana limited. Journal of Computer and Communications, 3(1), 1-19.
- Deningtyas, F., & Ariyanti, M. (2017). Factors affecting the adoption of e-payment on transportation service application using modified unified technology of acceptance and use of technology 2 model. International Journal of Management and Applied Science, 3(7), 38-43.
- Escobar-Rodríguez, T., & Carvajal-Trujillo, E. (2014). Online purchasing tickets for low cost carriers: An application of the unified theory of acceptance and use of technology (UTAUT) model. Tourism Management, 43, 70-88.
- Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.
- Government of India. (2022). e-RUPI – Digital payment solution. Retrieved February 11, 2022, from https://www.india.gov.in/spotlight/e-rupi-digital-payment-solution Gupta, K., & Arora, N. (2020). Investigating consumer intention to accept mobile payment systems through unified theory of acceptance model: An Indian perspective. South Asian Journal of Business Studies, 9(1), 88-114. doi:https://doi.org/10.1108/SAJBS-03-2019-0037
- Hair, J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2016). A primer on partial least squares structural equation modeling (PLS-SEM). Sage Publications.
- Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis: A global perspective (7th ed.). Pearson Education International.
- Hair, J. F., Gabriel, M. L. D. S., Silva, D., & Junior, S. B. (2019). Development and validation of attitudes measurement scales: Fundamental and practical aspects. Management Journal, 54(4), 490-507.
- Hair, J. F., Hult, G. T., Ringle, C. M., & Sarstedt, M. (2014). A primer on partial least squares structural equation modeling (PLS-SEM). California: Sage Publications, Inc.
- Henseler, J., & Fassott, G. (2010). Testing moderating effects in PLS path models: An Illustration of available procedures. V. Esposito Vinzi et al. (Eds.), Handbook of Partial Least Squares (pp. 713-735). Springer Handbooks of Computational Statistics.
- Henseler, J., Ringle, C. M., & Sinkovics, R. R. (2009). The use of partial least squares path modeling in international marketing. Advances in International Marketing, 20, 277-319.
- Hussain, M., Mollik, A. T., Johns, R., & Rahman, M. S. (2019). M-payment adoption for bottom of pyramid segment: An empirical investigation. International Journal of Bank Marketing, 37(1), 362-381. doi:https://doi.org/10.1108/IJBM-01-2018-0013
- IBEF. (2020). Digital payments growing in India at 12.7% CAGR: KPMG. Retrieved July 7, 2020, from https://www.ibef.org/news/digital-payments-growing-in-india-at-127-cagr-kpmg
- Indrawati & Tohir, L. M. (2016). Predicting smart metering acceptance by residential consumers: An Indonesian perspective. 4th International Conference on Information and Communication Technology
- An Empirical Study on Continuance Intention to Use Mobile Payment Applications in Goa, India 39
- (ICoICT), Bandung (pp. 104-109). doi:10.1109/ICoICT.2016.7571892
- Indrawati & Putri, D. A. (2018). Analyzing factors influencing continuance intention of e-payment adoption using modified UTAUT 2 model. 6th International Conference on Information and Communication Technology (ICoICT), (vol. 2018, no. 5, pp. 167-173).
- Indrawati, Hasana, S. A., & Pillai, S. K. B. (2020a). User’s continuance intention towards hospitality service application. In S. Noviaristani, H. M. Hanafi & D. Trihanondo (Eds.), Understanding Digital Industry (pp. 76-80). London: Taylor and Francis Group.
- Indrawati, Pradhina, N. P., & Pillai, S. K. B. (2020b). Customer continuance intention towards digital banking application. In S. Noviaristani, H. M. Hanafi & D. Trihanondo (Eds.), Understanding Digital Industry (pp. 103-106). London: Taylor and Francis Group.
- Karjaluoto, H., Shaikh, A. A., Leppäniemi, M., & Luomala, R. (2020). Examining consumers’ usage intention of contactless payment systems. International Journal of Bank Marketing, 38(2), 332-351. doi:https://doi.org/10.1108/IJBM-04-2019-0155
- Kim, C., Mirusmonov, M., & Lee, I. (2010). An empirical examination of factors influencing the intention to use mobile payment. Computers in Human Behavior, 26(3), 310-322.
- Kuganathan, K. V., & Wikramanayake, G. N. (2014). Next generation smart transaction touch points. International Conference on Advances in ICT for Emerging Regions (ICTER) (pp. 96-102), Colombo.
- Kwateng, K. O., Atiemo, K. A. O., & Appiah, C. (2019). Acceptance and use of mobile banking: An application of UTAUT2. Journal of Enterprise Information Management, 32(1), 118-151.
- Lee, W. O., & Wong, L. S. (2016). Determinants of mobile commerce customer loyalty in Malaysia. Procedia-Social and Behavioral Sciences, 224, 60-67.
- Madan, K., & Yadav, R. (2016). Behavioural intention to adopt mobile wallet: A developing country perspective. Journal of Indian Business Research, 8(3), 227-244. doi: https://doi.org/10.1108/JIBR-10-2015-0112
- Merhi, M., Hone, K., & Tarhini, A. (2019). A cross-cultural study of the intention to use mobile banking between Lebanese and British consumers: Extending UTAUT2 with security, privacy and trust. Technology in Society, 59, 1-12.
- Min, Q., Ji, S., & Qu, G. (2008). Mobile commerce user acceptance study in China: A revised UTAUT model. Tsinghua Science and Technology, 13(3), 257-264.
- Oliveira, T., Thomas, M., Baptista, G., & Campos, F. (2016). Mobile payment: Understanding the determinants of customer adoption and intention to recommend the technology. Computers in Human Behavior, 61(2016), 404-414. doi:https://doi.org/10.1016/j.chb.2016.03.030
- Renjan, R., & Kamal, A. (2019). Perception of smartphone users towards mobile payment system: An empirical study. International Journal of Recent Technology and Engineering, 8(1), 424-434.
- Sharma, R., & Mishra, R. (2014). A review of evolution of theories and model of technology adoption. Indore Management Journal, 6(2), 17-29.
- Shaw, N., & Sergueeva, K. (2019). The non-monetary benefits of mobile commerce: Extending UTUAT2 with perceived value. International Journal of Information Management, 45, 44-55.
- Sivathanu, B. (2019). Adoption of digital payment systems in the era of demonetization in India: An empirical study. Journal of Science and Technology Policy Management, 10(1), 143-171. doi:https://doi.org/10.1108/JSTPM-07-2017-0033
- Slade, E., Williams, M., Dwivedi, Y., & Piercy, N. (2015). Exploring consumer adoption of proximity mobile payments. Journal of Strategic Marketing, 23(3), 209-223. doi:https://doi.org/10.1080/0965254X.2014.914075
- Soodan, V., & Rana, A. (2020). Modeling customers’ intention to use e-wallet in a developing nation: Extending UTAUT2 with security, privacy and savings. Journal of Electronic Commerce in Organizations, 18(1), 89-114. doi:https://doi.org/10.4018/JECO.2020010105
- Statista. (2020). Digital payments in India – Statistics and facts. Retrieved July 7, 2020, from https://www.statista.com/topics/5593/digital-payment-in-india/#:~:text=India%20was%20estimated%20to%20see,the%20world’s%20digital%20payment%20market
- Tarhini, A., Alalwan, A. A., Shammout, A. B., & Al-Badi, A. (2019). An analysis of the factors affecting 40 International Journal of Banking, Risk and Insurance Volume 10 Issue 2 September 2022
- mobile commerce adoption in developing countries towards an integrated model. Review of International Business and Strategy, 29(3), 157-179.
- Venkatesh, V., & Morris, M. G. (2000). Why men don’t ever stop to ask for directions? Gender, social influence, and their role in technology acceptance and usage. MIS Quarterly, 24(1), 115-139.
- Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478.
- Venkatesh, V., Thong, J. Y., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157-178.
- Wikipedia. (2020). Mobile payments. Retrieved July 7, 2020, from https://en.wikipedia.org/wiki/Mobile_payment
- Xu, X. (2014). Understanding users’ continued use of online games: An application of UTAUT2 in social network games. MMEDIA.