Abstract
This study examines the influence of factors related to consumer resistance on the intention to continue using the Unified Payment Interface (UPI) for electronic payments. UPI facilitates advanced, peer-to-peer, immediate payment with seamless interoperability among banks in India. The study extends the innovation resistance theory by including two behavioral measures - privacy concerns and visibility - and two moderators - security concerns and word of mouth (WOM). It used cross-sectional data collected from 714 UPI users aged between 16 and 55 years to test the proposed research model. The findings suggest that privacy concerns and usage barrier are the two crucial factors to be addressed for breaking down consumer resistance towards continuing usage of UPI. The other significant factors are image barrier and visibility. In addition, security concerns and WOM are found to partially moderate the influences on the associations between the key variables and continuing usage of UPI.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Khanra, S., Dhir, A., Mäntymäki, M.: Big data analytics and enterprises: a bibliometric synthesis of the literature. Enterp. Inf. Syst. 14(6), 737–768 (2020). https://doi.org/10.1080/17517575.2020.1734241
National Payments Corporation of India. https://www.npci.org.in/product-overview/upi-product-overview. Accessed 10 Oct 2020
Business Standards Report. http://tiny.cc/Asthana. Accessed 10 Oct 2020
FIS Flavours of fast Report. http://tiny.cc/FIS2015. Accessed 10 Oct 10 Oct 2020
Deloitte Report. http://tiny.cc/deloittepayment. Accessed 10 Oct 2020
Harvard Business Review Note. http://tiny.cc/HBRspl. Accessed 10 Oct 2020
Inc 42 Report. http://tiny.cc/inc42. Accessed 10 Oct 2020
Livemint Repor. http://tiny.cc/bhimreferral. Accessed 10 Oct 2020
The Economic Times Report. http://tiny.cc/demonitization. Accessed 10 Oct 2020
Livemint Report. http://tiny.cc/nilekani. Accessed 10 Oct 2020
The Economic Times Report. http://tiny.cc/bhakta. Accessed 10 Oct 2020
The Wire Report. http://tiny.cc/thewire. Accessed 10 Oct 2020
The Economic Times Report. http://tiny.cc/25bn. Accessed 10 Oct 2020
Financial Express Report. http://tiny.cc/finxp. Accessed 10 Oct 2020
Woodside, A.G.: Theory of rejecting superior, new technologies. J. Bus. Ind. Mark. 11(3/4), 25–43 (1996). https://doi.org/10.1108/08858629610125450
Ram, S., Sheth, J.N.: Consumer resistance to innovations: the marketing problem and its solutions. J. Consum. Mark. 6(2), 5–14 (1989). https://doi.org/10.1108/eum0000000002542
Johnson, V.L., Kiser, A., Washington, R., Torres, R.: Limitations to the rapid adoption of M-payment services: understanding the impact of privacy risk on M-Payment services. Comput. Hum. Behav. 79, 111–122 (2018). https://doi.org/10.1016/j.chb.2017.10.035
Matemba, E.D., Li, G.: Consumers’ willingness to adopt and use WeChat wallet: an empirical study in South Africa. Technol. Soc. 53, 55–68 (2017). https://doi.org/10.1016/j.techsoc.2017.12.001
Su, P., Wang, L., Yan, J.: How users’ Internet experience affects the adoption of mobile payment: a mediation model. Technol. Anal. Strateg. Manag. 30(2), 186–197 (2018). https://doi.org/10.1080/09537325.2017.1297788
Carton, F., Hedman, J., Damsgaard, J., Tan, K.T., McCarthy, J.B.: Framework for mobile payments integration. Electron. J. Inf. Syst. Eval. 15(1), 14–25 (2012). http://cora.ucc.ie/handle/10468/2910
Mangin, J.P.L.: The moderating role of risk, security and trust applied to the TAM model in the offer of banking financial services in Canada. J. Internet Bank. Commerc. 19(2) (2014)
Yoon, H.S., Occeña, L.U.I.S.: Impacts of customers’ perceptions on internet banking use with a smart phone. J. Comput. Inf. Syst. 54(3), 1–9 (2014). https://doi.org/10.1080/08874417.2014.11645699
Khare, A., Labrecque, L.I., Asare, A.K.: The assimilative and contrastive effects of word-of-mouth volume: an experimental examination of online consumer ratings. J. Retail. 87(1), 111–126 (2011).https://doi.org/10.1016/j.jretai.2011.01.005
Kuo, Y.F., Hu, T.L., Yang, S.C.: Effects of inertia and satisfaction in female online shoppers on repeat-purchase intention: the moderating roles of word-of-mouth and alternative attraction. Manag. Serv. Qual. Int. J. 23(3), 168–187 (2013). https://doi.org/10.1108/09604521311312219
Saleem, M.A., Zahra, S., Yaseen, A.: Impact of service quality and trust on repurchase intentions–the case of Pakistan airline industry. Asia Pac. J. Mark. Logist. 29(5), 1136–1159 (2017). https://doi.org/10.1108/apjml-10-2016-0192
Rogers, E.M.: Diffusion of innovations: an overview. In: Anderson, J.G., Jay, S.J. (eds.) Use and Impact of Computers in Clinical Medicine, pp. 113–131. Springer, New York (1981). https://doi.org/10.1007/978-1-4613-8674-2_9
Bhatt, A., Bhatt, S.: Factors affecting customers adoption of mobile banking services. J. Internet Bank. Commerc. 21(1) (2016)
Upadhyay, P., Jahanyan, S.: Analyzing user perspective on the factors affecting use intention of mobile based transfer payment. Internet Res. 26(1), 38–56 (2016). https://doi.org/10.1108/intr-05-2014-0143
Sivathanu, B.: Adoption of digital payment systems in the era of demonetization in India: an empirical study. J. Sci. Technol. Policy Manag. 10(1), 143–171 (2018). https://doi.org/10.1108/JSTPM-07-2017-0033
Davis, F.D., Bagozzi, R.P., Warshaw, P.R.: User acceptance of computer technology: a comparison of two theoretical models. Manag. Sci. 35(8), 982–1003 (1989). https://doi.org/10.1287/mnsc.35.8.982
Laukkanen, T., Cruz, P.: What determines mobile banking non-adoption? In: Proceedings of Australian and New Zealand Marketing Academy Conference 2010. ANZMAC, Christchurch (2010)
Laukkanen, T., Kiviniemi, V.: The role of information in mobile banking resistance. Int. J. Bank Mark. 28(5), 372–388 (2010). https://doi.org/10.1108/02652321011064890
Laukkanen, T.: Consumer adoption versus rejection decisions in seemingly similar service innovations: the case of the Internet and mobile banking. J. Bus. Res. 69(7), 2432–2439 (2016). https://doi.org/10.1016/j.jbusres.2016.01.013
Kuisma, T., Laukkanen, T., Hiltunen, M.: Mapping the reasons for resistance to Internet banking: a means-end approach. Int. J. Inf. Manag. 27(2), 75–85 (2007). https://doi.org/10.1016/j.ijinfomgt.2006.08.006
Martins, C., Oliveira, T., Popovič, A.: Understanding the Internet banking adoption: a unified theory of acceptance and use of technology and perceived risk application. Int. J. Inf. Manag. 34(1), 1–13 (2014). https://doi.org/10.1016/j.ijinfomgt.2013.06.002
Heinonen, K.: Reconceptualizing customer perceived value: the value of time and place. Manag. Serv. Qual. Int. J. (2004). https://doi.org/10.1108/09604520410528626
Laukkanen, T., Sinkkonen, S., Laukkanen, P.: Communication strategies to overcome functional and psychological resistance to Internet banking. Int. J. Inf. Manag. 29(2), 111–118 (2009). https://doi.org/10.1016/j.ijinfomgt.2008.05.008
Liébana-Cabanillas, F., Lara-Rubio, J.: Predictive and explanatory modeling regarding adoption of mobile payment systems. Technol. Forecast. Soc. Change 120, 32–40 (2017). https://doi.org/10.1016/j.techfore.2017.04.002
Luo, X., Lee, C.P., Mattila, M., Liu, L.: An exploratory study of mobile banking services resistance. Int. J. Mob. Commun. 10(4), 366–385 (2012). https://doi.org/10.1504/ijmc.2012.048136
Park, M., Jun, J., Park, H.: Understanding mobile payment service continuous use intention: an expectation-confirmation model and inertia. Qual. Innov. Prosperity 21(3), 78 (2017). https://doi.org/10.12776/qip.v21i3.983
Low, K.H.: Factor affecting consumer resistance to Paypal mobile payment adoption: a study of generation X consumers. Doctoral dissertation, Universiti Tunku Abdul Rahman (2017). http://eprints.utar.edu.my/2427/1/Thesis_(PayPal).pdf
Chang, Y., Wong, S.F., Libaque-Saenz, C.F., Lee, H.: The role of privacy policy on consumers’ perceived privacy. Gov. Inf. Q. 35(3), 445–459 (2018). https://doi.org/10.1016/j.giq.2018.04.002
De Kerviler, G., Demoulin, N.T., Zidda, P.: Adoption of in-store mobile payment: are perceived risk and convenience the only drivers? J. Retail. Consum. Serv. 31, 334–344 (2016). https://doi.org/10.1016/j.jretconser.2016.04.011
Bailey, A.A., Pentina, I., Mishra, A.S., Ben Mimoun, M.S.: Mobile payments adoption by US consumers: an extended TAM. Int. J. Retail Distrib. Manag. 45(6), 626–640 (2017). https://doi.org/10.1108/ijrdm-08-2016-0144
Cruz, P., Barretto Filgueiras Neto, L., Munoz-Gallego, P., Laukkanen, T.: Mobile banking rollout in emerging markets: evidence from Brazil. Int. J. Bank Mark. 28(5), 342–371 (2010). https://doi.org/10.1108/02652321011064881
Hsu, C.L., Lu, H.P., Hsu, H.H.: Adoption of the mobile internet: an empirical study of multimedia message service (MMS). Omega 35(6), 715–726 (2007). https://doi.org/10.1016/j.omega.2006.03.005
Khanra, S., Joseph, R.P., Ruparel, N.: Dynamism of an e-government network in delivering public services. In: Academy of Management Global Proceedings Slovenia 2019, p. 376. Academy of Management, New York (2019)
Liu, Y.: Consumer protection in mobile payments in China: a critical analysis of Alipay’s service agreement. Comput. Law Secur. Rev. 31(5), 1–10 (2015). https://doi.org/10.1016/j.clsr.2015.05.009
Oliveira, T., Thomas, M., Baptista, G., Campos, F.: Mobile payment: understanding the determinants of customer adoption and intention to recommend the technology. Comput. Hum. Behav. 61, 404–414 (2016). https://doi.org/10.1016/j.chb.2016.03.030
Arndt, J.: Word-of-mouth advertising and of informal communication. In: Cox, F. (ed.) Risk Taking and Information Handling in Consumer Behaviour, pp. 188–239. Harvard University Press, Cambridge (1967)
Anderson, E.W.: Customer satisfaction and word of mouth. J. Serv. Res. 1(1), 5–17 (1998). https://doi.org/10.1177/109467059800100102
Khanra, S., Joseph, R.P.: Adoption of e-governance: the mediating role of language proficiency and digital divide in an emerging market context. Transforming Gov. People Process Policy 13(2), 122–142 (2019). https://doi.org/10.1108/tg-12-2018-0076
Lock, A.C.: Impact of brand knowledge on brand trust in private higher education institutions: how do word of mouth sources intervene’. Sarjana 31(2), 13–32 (2016)
Ishida, K., Slevitch, L., Siamionava, K.: The effects of traditional and electronic word-of-mouth on destination image: a case of vacation tourists visiting Branson, Missouri. Adm. Sci. 6(4), 12 (2016). https://doi.org/10.3390/admsci6040012
Jalilvand, M.R., Samiei, N., Dini, B., Manzari, P.Y.: Examining the structural relationships of electronic word of mouth, destination image, tourist attitude toward destination and travel intention: an integrated approach. J. Destination Mark. Manag. 1(1), 134–143 (2012). https://doi.org/10.1016/j.jdmm.2012
Khanra, S., Joseph, R.P.: Adoption and diffusion of e-government services: the impact of demography and service quality. In: De Baguma, R., Janowski, T. (eds.) The 10th International Conference on Theory and Practice of Electronic Governance 2017, pp. 602–605. Association for Computing Machinery, New York (2017). https://doi.org/10.1145/3047273.3047301
Hair, J., Black, W., Babin, B., Anderson, R.: Multivariate Data Analysis a Global Perspective, 7th edn. Prentice Hall, Upper Saddle River (2010)
Fornell, C., Larcker, D.F.: Evaluating structural equation models with unobservable variables and measurement error. J. Mark. Res. 18(1), 39–50 (1981). https://doi.org/10.1177/002224378101800104
Farrell, A.M.: Insufficient discriminant validity: a comment on Bove, Pervan, Beatty, and Shiu (2009). J. Bus. Res. 63(3), 324–327 (2010). https://doi.org/10.1016/j.jbusres.2009.05.003
Bouwman, H., Carlsson, C., Molina-Castillo, F.J., Walden, P.: Barriers and drivers in the adoption of current and future mobile services in Finland. Telemat. Inform. 24(2), 145–160 (2007). https://doi.org/10.1016/j.tele.2006.08.001
Rahman, M.M.: Barriers to M-commerce adoption in developing countries-a qualitative study among the stakeholders of Bangladesh. Int. Technol. Manag. Rev. 3(2), 80–91 (2013). https://doi.org/10.2991/itmr.2013.3.2.2
Suki, N.M.: Factors affecting third generation (3G) mobile service acceptance: evidence from Malaysia. J. Internet Bank. Commerc. 16(1), 1–12 (2011)
Khanra, S., Joseph, R.P.: E-governance maturity models: a meta-ethnographic study. Int. Technol. Manag. Rev. 8(1), 1–9 (2019). https://doi.org/10.2991/itmr.b.190417.001
The Quint Report. http://tiny.cc/thequint. Accessed 10 Oct 2020
Firstpost Report. http://tiny.cc/madanapalle. Accessed 10 Oct 2020
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 IFIP International Federation for Information Processing
About this paper
Cite this paper
Khanra, S., Joseph, R.P., Dhir, A., Kaur, P. (2020). Antecedents of the Barriers Toward the Adoption of Unified Payment Interface. In: Sharma, S.K., Dwivedi, Y.K., Metri, B., Rana, N.P. (eds) Re-imagining Diffusion and Adoption of Information Technology and Systems: A Continuing Conversation. TDIT 2020. IFIP Advances in Information and Communication Technology, vol 618. Springer, Cham. https://doi.org/10.1007/978-3-030-64861-9_53
Download citation
DOI: https://doi.org/10.1007/978-3-030-64861-9_53
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-64860-2
Online ISBN: 978-3-030-64861-9
eBook Packages: Computer ScienceComputer Science (R0)