Abstract
The availability of innovative payment services and the growing popularity of smartphone-based payment services (SBPS), particularly among youth, recognise India’s potential to emerge as less cash or cashless economy in the near future. The influence of pre-adoption expectancies, usage experience, and conventional inhibitions on Indian youth’s continuance intention to use SBPS has been investigated by integrating both adoption (UTAUT2) and post-adoption (ECM) models. PLS-SEM results show that satisfaction and facilitating conditions significantly influence continuance intention to use SBPS, whereas conventional inhibitions do not. Trust, habit, confirmation, facilitating conditions, and price value are the significant contributors to customer satisfaction. The outcome of the study reiterates the importance of strengthening the payment infrastructure and ensuring satisfaction so as to motivate young users to continue using SBPS.
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References
Abrahão, R.de S., S.N. Moriguchi, and D.F. Andrade. 2016. Intention of adoption of mobile payment: An analysis in the light of the unified theory of acceptance and use of technology (UTAUT). RAI Revista De Administração e Inovação 13 (3): 221–230. https://doi.org/10.1016/j.rai.2016.06.003.
Ahmed, I.S.Y., and A.Y.S. Ali. 2017. Determinants of continuance intention to use mobile money transfer: An integrated model. Journal of Internet Banking and Commerce 22 (S7): 1–24.
Alalwan, A.A., Y.K. Dwivedi, N.P. Rana, and R. Algharabat. 2018. Examining factors influencing Jordanian customers’ intentions and adoption of internet banking: Extending UTAUT2 with risk. Journal of Retailing and Consumer Services 40: 125–138. https://doi.org/10.1016/j.jretconser.2017.08.026.
Alqahtani, M.A., A.H. Al-Badi, and P.J. Mayhew. 2014. Exploratory study of M-transaction: User’s perspectives. The Electronic Journal of Information Systems in Developing Countries 60 (1): 1–22. https://doi.org/10.1002/j.1681-4835.2014.tb00428.x.
Amin, H. 2007. An analysis of mobile credit card usage intentions. Information Management & Computer Security 15 (4): 260–269. https://doi.org/10.1108/09685220710817789.
Amoroso, D.L., and Y. Chen. 2017. Constructs Affecting Continuance intention in consumers with mobile financial apps: A dual factor approach. Journal of Information Technology Management 28 (3): 1–24.
Ali K.A., A. and R. Subramanian. 2022. Current status of research on mobile banking: An analysis of literature. Vision. https://doi.org/10.1177/09722629211073268.
Baabdullah, A.M., A.A. Alalwan, N.P. Rana, H. Kizgin, and P. Patil. 2019. Consumer use of mobile banking (M-Banking) in Saudi Arabia: Towards an integrated model. International Journal of Information Management 44: 38–52. https://doi.org/10.1016/j.ijinfomgt.2018.09.002.
Baabdullah, A.M., A.A. Alalwan, N.P. Rana, P. Patil, and Y.K. Dwivedi. 2019. An integrated model for m-banking adoption in Saudi Arabia. International Journal of Bank Marketing 37 (2): 452–478. https://doi.org/10.1108/IJBM-07-2018-0183.
Bhattacherjee, A. 2001. Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly 25 (3): 351–370. https://doi.org/10.2307/3250921.
Cao, X., L. Yu, Z. Liu, M. Gong, and L. Adeel. 2018. Understanding mobile payment users’ continuance intention: A trust transfer perspective. Internet Research 28 (2): 456–476. https://doi.org/10.1108/IntR-11-2016-0359.
Chawla, D., and H. Joshi. 2019. Consumer attitude and intention to adopt mobile wallet in India—An empirical study. International Journal of Bank Marketing 37 (7): 1590–1618. https://doi.org/10.1108/IJBM-09-2018-0256.
Chen, X., and S. Li. 2017. Understanding continuance intention of mobile payment services: An empirical study. Journal of Computer Information Systems 57 (4): 287–298. https://doi.org/10.1080/08874417.2016.1180649.
Chokkannan, P., and V. Kaniappan. 2020. Role of IT Mindfulness on continuance intention of mobile payment system. SSRG International Journal of Economics and Management Studies (SSRG-IJEMS) 7: 32–43.
de Albuquerque, J.P., E.H. Diniz, and A.K. Cernev. 2016. Mobile payments: A scoping study of the literature and issues for future research. Information Development 32 (3): 527–553. https://doi.org/10.1177/0266666914557338.
Farah, M.F., M.J.S. Hasni, and A.K. Abbas. 2018. Mobile-banking adoption: Empirical evidence from the banking sector in Pakistan. International Journal of Bank Marketing 36 (7): 1386–1413. https://doi.org/10.1108/IJBM-10-2017-0215.
Fornell, C., and D.F. Larcker. 1981. Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research 18 (1): 39–50. https://doi.org/10.1177/002224378101800104.
Franque, F.B., T. Oliveira, and C. Tam. 2022. Continuance intention of mobile payment: TTF Model with trust in an african context. Information Systems Frontiers. https://doi.org/10.1007/s10796-022-10263-8.
Franque, F.B., T. Oliveira, C. Tam, and F. de O. Santini. 2021. A meta-analysis of the quantitative studies in continuance intention to use an information system. Internet Research 31 (1): 123–158. https://doi.org/10.1108/INTR-03-2019-0103.
Gilitwala, B., and A.K. Nag. 2020. Impact assessment of factors influencing user’s continuance intention to use near field communication (NFC). Journal of Content, Community and Communication 12: 219–226. https://doi.org/10.31620/JCCC.12.20/20.
Gupta, A., A. Yousaf, and A. Mishra. 2020. How pre-adoption expectancies shape post-adoption continuance intentions: An extended expectation-confirmation model. International Journal of Information Management. https://doi.org/10.1016/j.ijinfomgt.2020.102094.
Hair, J.F., W.C. Black, B.J. Babin, and R.E. Anderson. 2014. Multivariate data analysis, 7th ed. London: Pearson Education Limited.
Hair, J.F., C.M. Ringle, and M. Sarstedt. 2011. PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice 19 (2): 139–152. https://doi.org/10.2753/MTP1069-6679190202.
Hair, J.F., J.J. Risher, M. Sarstedt, and C.M. Ringle. 2019. When to use and how to report the results of PLS-SEM. European Business Review 31 (1): 2–24. https://doi.org/10.1108/EBR-11-2018-0203.
Henseler, J., C.M. Ringle, and M. Sarstedt. 2015. A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science 43 (1): 115–135. https://doi.org/10.1007/s11747-014-0403-8.
Hossain, Md.A. 2019. Security perception in the adoption of mobile payment and the moderating effect of gender. PSU Research Review 3 (3): 179–190. https://doi.org/10.1108/PRR-03-2019-0006.
Hossain, Md.A., M.S. Hossain, and N. Jahan. 2018. Predicting continuance usage intention of mobile payment: An experimental study of Bangladeshi customers. Asian Economic and Financial Review 8 (4): 487–498. https://doi.org/10.18488/journal.aefr.2018.84.487.498.
Hsu, C.-L., and J.C.-C. Lin. 2016. Effect of perceived value and social influences on mobile app stickiness and in-app purchase intention. Technological Forecasting and Social Change 108: 42–53. https://doi.org/10.1016/j.techfore.2016.04.012.
Humbani, M., and M. Wiese. 2019. An integrated framework for the adoption and continuance intention to use mobile payment apps. International Journal of Bank Marketing 37 (2): 646–664. https://doi.org/10.1108/IJBM-03-2018-0072.
Juwaheer, T.D., S. Pudaruth, and P. Ramdin. 2012. Factors influencing the adoption of internet banking: A case study of commercial banks in Mauritius. World Journal of Science, Technology and Sustainable Development 9 (3): 204–234. https://doi.org/10.1108/20425941211250552.
Khayer, A., and Y. Bao. 2019. The continuance usage intention of Alipay: Integrating context-awareness and technology continuance theory (TCT). Bottom Line 32 (3): 211–229. https://doi.org/10.1108/BL-07-2019-0097.
Kock, F., A. Berbekova, and A.G. Assaf. 2021. Understanding and managing the threat of common method bias: Detection, prevention and control. Tourism Management 86: 1–10. https://doi.org/10.1016/j.tourman.2021.104330.
Kock, N. 2015. Common method bias in PLS-SEM: A full collinearity assessment approach. International Journal of E-Collaboration 11 (4): 1–10. https://doi.org/10.4018/ijec.2015100101.
Kock, N., and G.S. Lynn. 2012. Lateral collinearity and misleading results in variance-based SEM: An illustration and recommendations. Journal of the Association for Information Systems 13 (7): 546–580. https://doi.org/10.17705/1jais.00302.
Koenig-Lewis, N., M. Marquet, A. Palmer, and A.L. Zhao. 2015. Enjoyment and social influence: Predicting mobile payment adoption. The Service Industries Journal 35 (10): 537–554. https://doi.org/10.1080/02642069.2015.1043278.
Koloseni, D., and H. Mandari. 2017. Why mobile money users keep increasing? Investigating the continuance usage of mobile money services in Tanzania. Journal of International Technology and Information Management 26 (2): 117–143.
Kwateng, K.O., K.A.O. Atiemo, and C. Appiah. 2019. Acceptance and use of mobile banking: An application of UTAUT2. Journal of Enterprise Information Management 32 (1): 118–151. https://doi.org/10.1108/JEIM-03-2018-0055.
Liao, C., J.-L. Chen, and D.C. Yen. 2007. Theory of planning behavior (TPB) and customer satisfaction in the continued use of e-service: An integrated model. Computers in Human Behavior 23 (6): 2804–2822. https://doi.org/10.1016/j.chb.2006.05.006.
Liébana-Cabanillas, F., S. Molinillo, and M. Ruiz-Montañez. 2019. To use or not to use, that is the question: Analysis of the determining factors for using NFC mobile payment systems in public transportation. Technological Forecasting and Social Change 139: 266–276. https://doi.org/10.1016/j.techfore.2018.11.012.
Liébana-Cabanillas, F., J. Sánchez-Fernández, and F. Muñoz-Leiva. 2014. Role of gender on acceptance of mobile payment. Industrial Management & Data Systems 114 (2): 220–240. https://doi.org/10.1108/IMDS-03-2013-0137.
Liébana-Cabanillas, F., N. Singh, Z. Kalinic, and E. Carvajal-Trujillo. 2021. Examining the determinants of continuance intention to use and the moderating effect of the gender and age of users of NFC mobile payments: A multi-analytical approach. Information Technology and Management 22 (2): 133–161. https://doi.org/10.1007/s10799-021-00328-6.
Lu, J., J. Wei, C.S. Yu, and C. Liu. 2017. How do post-usage factors and espoused cultural values impact mobile payment continuation? Behaviour and Information Technology 36 (2): 140–164. https://doi.org/10.1080/0144929X.2016.1208773.
Lwoga, E.T., and N.B. Lwoga. 2017. User acceptance of mobile payment: The effects of user-centric security, system characteristics and gender. The Electronic Journal of Information Systems in Developing Countries 81 (1): 1–24. https://doi.org/10.1002/j.1681-4835.2017.tb00595.x.
Ly, H.T.N., N.V. Khuong, and T.H. Son. 2022. Determinants affect mobile wallets continuous usage in Covid 19 pandemic: Evidence from Vietnam. Cogent Business & Management 9 (1): 1–20. https://doi.org/10.1080/23311975.2022.2041792.
Madan, K., and R. Yadav. 2016. Behavioural intention to adopt mobile wallet: A developing country perspective. Journal of Indian Business Research 8 (3): 227–244. https://doi.org/10.1108/JIBR-10-2015-0112.
Makanyeza, C. 2017. Determinants of consumers’ intention to adopt mobile banking services in Zimbabwe. International Journal of Bank Marketing 35 (6): 997–1017. https://doi.org/10.1108/IJBM-07-2016-0099.
Maureen Nelloh, L.A., A.S. Santoso, and M.W. Slamet. 2019. Will users keep using mobile payment? It depends on trust and cognitive perspectives. Procedia Computer Science 161: 1156–1164. https://doi.org/10.1016/j.procs.2019.11.228.
Mensah, I.K., L. Chuanyong, and G. Zeng. 2020. Factors determining the continued intention to use mobile money transfer services (MMTS) among university students in Ghana. International Journal of Mobile Human Computer Interaction 12 (1): 1–21. https://doi.org/10.4018/IJMHCI.2020010101.
Mohammadi, H. 2015. A study of mobile banking usage in Iran. International Journal of Bank Marketing 33 (6): 733–759. https://doi.org/10.1108/IJBM-08-2014-0114.
Moorthy, K., L.C. T’ing, K.C. Yee, A.W. Huey, L.J. In, P.C. Feng, and T.J. Yi. 2020. What drives the adoption of mobile payment? A Malaysian perspective. International Journal of Finance & Economics 25 (3): 349–364. https://doi.org/10.1002/ijfe.1756.
Nan, D., Y. Kim, M.H. Park, and J.H. Kim. 2020. What motivates users to keep using social mobile payments? Sustainability. https://doi.org/10.3390/SU12176878.
Nan, D., H. Lee, Y. Kim, and J.H. Kim. 2022. My video game console is so cool! A coolness theory-based model for intention to use video game consoles. Technological Forecasting and Social Change 176: 1–9. https://doi.org/10.1016/j.techfore.2021.121451.
Nan, D., E. Shin, G.A. Barnett, S. Cheah, and J.H. Kim. 2022. Will coolness factors predict user satisfaction and loyalty? Evidence from an artificial neural network–structural equation model approach. Information Processing & Management 59 (6): 103108. https://doi.org/10.1016/j.ipm.2022.103108.
Odoom, R., and J.P. Kosiba. 2020. Mobile money usage and continuance intention among micro enterprises in an emerging market—The mediating role of agent credibility. Journal of Systems and Information Technology 22 (1): 97–117. https://doi.org/10.1108/JSIT-03-2019-0062.
Oliveira, T., M. Thomas, G. Baptista, and F. Campos. 2016. Mobile payment: Understanding the determinants of customer adoption and intention to recommend the technology. Computers in Human Behavior 61: 404–414. https://doi.org/10.1016/j.chb.2016.03.030.
Pal, A., T. Herath, R. De’, and H.R. Rao. 2020. Contextual facilitators and barriers influencing the continued use of mobile payment services in a developing country: Insights from adopters in India. Information Technology for Development 26 (2): 394–420. https://doi.org/10.1080/02681102.2019.1701969.
Park, J., E. Amendah, Y. Lee, and H. Hyun. 2019. M-payment service: Interplay of perceived risk, benefit, and trust in service adoption. Human Factors and Ergonomics in Manufacturing & Service Industries 29 (1): 31–43. https://doi.org/10.1002/hfm.20750.
Park, M., J. Jun, and H. Park. 2017. Understanding mobile payment service continuous use intention: An expectation—Confirmation model and inertia. Quality Innovation Prosperity 21 (3): 78–94. https://doi.org/10.12776/QIP.V21I3.983.
Podsakoff, P.M., S.B. MacKenzie, J.-Y. Lee, and N.P. Podsakoff. 2003. Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology 88 (5): 879–903. https://doi.org/10.1037/0021-9010.88.5.879.
Puriwat, W., and S. Tripopsakul. 2021. Explaining an adoption and continuance intention to use contactless payment technologies: During the COVID-19 pandemic. Emerging Science Journal 5 (1): 85–95. https://doi.org/10.28991/esj-2021-01260.
Purohit, S., R. Arora, and J. Paul. 2022. The bright side of online consumer behavior: Continuance intention for mobile payments. Journal of Consumer Behaviour 21 (3): 523–542. https://doi.org/10.1002/cb.2017.
Riffai, M.M.M.A., K. Grant, and D. Edgar. 2012. Big TAM in Oman: Exploring the promise of on-line banking, its adoption by customers and the challenges of banking in Oman. International Journal of Information Management 32 (3): 239–250. https://doi.org/10.1016/j.ijinfomgt.2011.11.007.
Routray, S., R. Khurana, R. Payal, and R. Gupta. 2019. A move towards cashless economy: A case of continuous usage of mobile wallets in India. Theoretical Economics Letters 09 (04): 1152–1166. https://doi.org/10.4236/tel.2019.94074.
Sathye, M. 1999. Adoption of internet banking by Australian consumers: An empirical investigation. International Journal of Bank Marketing 17 (7): 324–334. https://doi.org/10.1108/02652329910305689.
Shao, Z., L. Zhang, X. Li, and Y. Guo. 2019. Antecedents of trust and continuance intention in mobile payment platforms: The moderating effect of gender. Electronic Commerce Research and Applications. https://doi.org/10.1016/j.elerap.2018.100823.
Shelvia, O., A. Teguh Prayitno, R. Kartono, and A. M. Sundjaja. 2020. Analysis of factors affecting consumer’s continuance intention to use mobile payments with a value-based adoption model (Vam) approach. Psychology and education 57 (9). www.psychologyandeducation.net
Singh, S. 2020. An integrated model combining the ECM and the UTAUT to explain users’ post-adoption behaviour towards mobile payment systems. Australasian Journal of Information Systems 24: 1–24. https://doi.org/10.3127/ajis.v24i0.2695.
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. https://doi.org/10.1108/JSTPM-07-2017-0033.
Siyal, A.W., D. Ding, and S. Siyal. 2019. M-banking barriers in Pakistan: A customer perspective of adoption and continuity intention. Data Technologies and Applications 53 (1): 58–84. https://doi.org/10.1108/DTA-04-2018-0022.
Siyal, A.W., D. Donghong, W.A. Umrani, S. Siyal, and S. Bhand. 2019. Predicting mobile banking acceptance and loyalty in Chinese bank customers. SAGE Open 9 (2): 1–21. https://doi.org/10.1177/2158244019844084.
Slade, E., Y.K. Dwivedi, N.C. Piercy, and M.D. Williams. 2015. Modeling consumers’ adoption intentions of remote mobile payments in the United Kingdom: Extending UTAUT with innovativeness, risk, and trust. Psychology & Marketing 32 (8): 860–873. https://doi.org/10.1002/mar.20823.
Slade, E., M. Williams, Y. Dwivedi, and N. Piercy. 2015. Exploring consumer adoption of proximity mobile payments. Journal of Strategic Marketing 23 (3): 209–223. https://doi.org/10.1080/0965254X.2014.914075.
Sobti, N. 2019. Impact of demonetization on diffusion of mobile payment service in India: Antecedents of behavioral intention and adoption using extended UTAUT model. Journal of Advances in Management Research 16 (4): 472–497. https://doi.org/10.1108/JAMR-09-2018-0086.
Sreelakshmi, C.C., and S.K. Prathap. 2020. Continuance adoption of mobile-based payments in Covid-19 context: an integrated framework of health belief model and expectation confirmation model. International Journal of Pervasive Computing and Communications 16 (4): 351–369. https://doi.org/10.1108/IJPCC-06-2020-0069.
Srivastava, S., and N. Singh. 2022. An integrated model predicting customers’ continuance behavioral intention and recommendations of users: A study on mobile payment in emerging markets. Journal of Financial Services Marketing. https://doi.org/10.1057/s41264-022-00147-y.
Susanto, A., Y. Chang, and Y. Ha. 2016. Determinants of continuance intention to use the smartphone banking services: An extension to the expectation-confirmation model. Industrial Management and Data Systems 116 (3): 508–525. https://doi.org/10.1108/IMDS-05-2015-0195.
Talwar, S., A. Dhir, A. Khalil, G. Mohan, and A.K.M.N. Islam. 2020. Point of adoption and beyond. Initial trust and mobile-payment continuation intention. Journal of Retailing and Consumer Services. https://doi.org/10.1016/j.jretconser.2020.102086.
Tan, E., and J.L. Lau. 2016. Behavioural intention to adopt mobile banking among the millennial generation. Young Consumers 17 (1): 18–31. https://doi.org/10.1108/YC-07-2015-00537.
Thakur, R., and M. Srivastava. 2014. Adoption readiness, personal innovativeness, perceived risk and usage intention across customer groups for mobile payment services in India. Internet Research 24 (3): 369–392. https://doi.org/10.1108/IntR-12-2012-0244.
Heijden, H van der. 2004. User acceptance of hedonic information systems. MIS Quarterly 28 (4): 695–704.
Venkatesh, V., R.H. Smith, M.G. Morris, G.B. Davis, and F.D. Davis. 2003. User acceptance of information technology: Toward a unified view. MIS Quarterly 27 (3): 425–478.
Venkatesh, V., J.Y.L. Thong, and X. Xu. 2012. Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly 36 (1): 157–178. https://doi.org/10.2307/41410412.
Wang, S. 2020. A multigroup study of continuance intention of mobile banking in China. International Journal of Transitions and Innovation Systems 6 (3): 265–291.
Widjaja, F., M. G. Oktaviani, V. V. Audian, and W. Gunadi. 2020. Factors influencing consumers’ continuance intention to use mobile payments in Indonesia. Psychology and Education 57 (9). www.psychologyandeducation.net
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.
Zhou, T. 2014. Understanding the determinants of mobile payment continuance usage. Industrial Management & Data Systems 114 (6): 936–948. https://doi.org/10.1108/IMDS-02-2014-0068.
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Ali K. A., A., Subramanian, R. Continuance intention to use smartphone-based payment services: the role of pre-adoption expectancies, usage experience, and conventional inhibitions. J Financ Serv Mark (2023). https://doi.org/10.1057/s41264-023-00240-w
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DOI: https://doi.org/10.1057/s41264-023-00240-w