Behavioral Insights into Digital Payment Innovations
DOI:
https://doi.org/10.21632/irjbs.18.1.85-99Keywords:
Abstract
The growth of digital payments in India has been tremendous, driven by advancements in technology and supportive policy measures. This investigation explores the usage of digital payment systems through the lens of the Technology Acceptance Model (TAM), emphasising Perceived Usefulness (PU) and Perceived Ease of Use (PEU) as key predictors of Behavioural Intention (BI). A survey of 550 respondents reveals that both PU and PEU significantly influence BI, underscoring the significance of perceived utility and simplicity in driving adoption. Furthermore, BI strongly correlates with the Actual Usage of digital payment systems, validating its applicability to real-world behaviour. The study finds no discernible difference in satisfaction levels between male and female consumers. Younger and middle-aged individuals report higher satisfaction than older users, with age as a critical influence. Users’ most significant concern is a perceived lack of security. These findings provide insights to improve digital payment acceptance.
References
AbuShanab, E., & Pearson, J. M. (2007). Internet banking in Jordan: The unified theory of acceptance and use of technology (UTAUT) perspective. Journal of Systems and information Technology, 9(1), 78-97. https://doi.org/10.1108/13287260710817700
Ajzen, I. (1991). The Theory of planned behavior. Organizational Behavior and Human Decision Processes. https://doi.org/10.1016/0749-5978(91)90020-t
Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. In Action control: From cognition to behavior (pp. 11-39). Berlin, Heidelberg: Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-69746-3_2
Alleyne, P., & Lavine, M. (2013). Factors influencing accountants' behavioural intentions to use and actual usage of enterprise resource planning systems in a global development agency. Journal of Financial Reporting & Accounting, 11(2), 179-200. https://doi.org/10.1108/jfra-11-2011-0017
Al-Okaily, M., Lutfi, A., Alsaad, A., Taamneh, A., & Alsyouf, A. (2020). The determinants of digital payment systems’ acceptance under cultural orientation differences: The case of uncertainty avoidance. Technology in Society, 63, 101367. https://doi.org/10.1016/j.techsoc.2020.101367
Al-Somali, S. A., Gholami, R., & Clegg, B. (2009). An investigation into the acceptance of online banking in Saudi Arabia. Technovation, 29(2), 130-141. https://doi.org/10.1016/j.technovation.2008.07.004
Amin, H., Hamid, M. R. A., Lada, S., & Anis, Z. (2008). The adoption of mobile banking in Malaysia: The case of Bank Islam Malaysia Berhad (BIMB). International Journal of Business and Society, 9(2), Aoun, C., Vatanasakdakul, S., & Li, Y. (2010). AIS in Australia: UTAUT application & cultural implication.
Apanasevic, T., Markendahl, J., & Arvidsson, N. (2016). Stakeholders' expectations of mobile payment in retail: lessons from Sweden. International Journal of Bank Marketing, 34(1), 37-61. https://doi.org/10.1108/ijbm-06-2014-0064
Awwad, B. S. (2021). The role of e- payments in enhancing financial performance: A case study of the Bank of Palestine. Banks and Bank Systems, 16(4), 114. https://doi.org/10.21511/bbs.16(4).2021.10.
Badwelan, A., Drew, S., & Bahaddad, A. A. (2016). Towards acceptance m-learning approach in higher education in Saudi Arabia. International Journal of Business and Management, 11(8), 12–30. https://doi.org/10.5539/ijbm.v11n8p12
Bagla, R. K., & Sancheti, V. (2018). Gaps in customer satisfaction with digital wallets: challenge for sustainability. Journal of Management Development, 37(6), 442-451.
Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review. https://doi.org/10.1108/jmd-04-2017-0144
Bandura, A. (1978). Reflections on self-efficacy. Advances in behaviour research and therapy, 1(4), 237-269. https://doi.org/10.1016/0146-6402(78)90012-7
Bandura, A. (1982). Self-efficacy mechanism in human agency. American psychologist, 37(2), 122. https://doi.org/10.1037//0003-066x.37.2.122
Bandura, A. (1986). Social foundations of thought and action, Englewood Cliffs, NJ: Prentice-Hall. The Health Psychology, Sage Publications, New Delhi, 94-106.
Chaudhari, C., & Kumar, A. (2021). Study of Impact of The Covid-19 Outbreak on Digital Payment in India. Vidyabharati International Interdisciplinary Research Journal, 12(02), 99-102.
Chawla, U., Mohnot, R., Singh, H. V., & Banerjee, A. (2023). The mediating effect of perceived trust in the adoption of cutting-edge financial technology among digital natives in the post-covid-19 era. Economies, 11(12), 286. https://doi.org/10.3390/economies11120286
Chen, L. D. (2008). A model of consumer acceptance of mobile payment. International Journal of Mobile Communications, 6(1), 32-52. https://doi.org/10.1504/ijmc.2008.015997
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(2), 1-19. https://doi.org/10.4236/jcc.2015.32001
Davis, F. D. (1986). A Technology Acceptance Model for Empirically Testing New End-User Information Systems. Theory and Results/Massachusetts Institute of Technology.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340. https://doi.org/10.2307/249008
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). Technology acceptance model. J Manag Sci, 35(8), 982-1003.
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and intrinsic motivation to use computers in the workplace 1. Journal of applied social psychology, 22(14), 1111-1132. https://doi.org/10.1111/j.1559-1816.1992.tb00945.x
Essel, D. D., & Wilson, O. A. (2017). Factors affecting university students' use of Moodle: An empirical study based on TAM. International Journal of Information and Communication Technology Education (IJICTE), 13(1), 14-26. https://doi.org/10.4018/ijicte.2017010102
Faqih, K. M. (2016). An empirical analysis of factors predicting the behavioral intention to adopt Internet shopping technology among non-shoppers in a developing country context: Does gender matter?. Journal of retailing and consumer services, 30, 140-164. https://doi.org/10.1016/j.jretconser.2016.01.016
Faqih, K. M., & Jaradat, M. I. R. M. (2015). Assessing the moderating effect of gender differences and individualism-collectivism at individual-level on the adoption of mobile commerce technology: TAM3 perspective. Journal of Retailing and Consumer Services, 22, 37-52. https://doi.org/10.1016/j.jretconser.2014.09.006
Fishbein, M., & Ajzen, I. (1977). Belief, attitude, intention, and behavior: An introduction to theory and research.
Glavee-Geo, R., Shaikh, A. A., & Karjaluoto, H. (2017). Mobile banking services adoption in Pakistan: are there gender differences?. International Journal of bank marketing, 35(7), 1090-1114. https://doi.org/10.1108/IJBM-09-2015-0142
Gupta, S., & Xu, H. (2010). Examining the relative influence of risk and control on intention to adopt risky technologies. Journal of technology management & innovation, 5(4), 22-37. https://doi.org/10.4067/s0718-27242010000400003
Guriting, P., & Oly Ndubisi, N. (2006). Borneo online banking: evaluating customer perceptions and behavioural intention. Management research news, 29(1/2), 6-15. https://doi.org/10.1108/01409170610645402
Hair, J., Black, B., & Babin, B. Anderson & Tatham.(2006). Multivariate data analysis.
Hanafizadeh, P., Behboudi, M., Koshksaray, A. A., & Tabar, M. J. S. (2014). Mobile-banking adoption by Iranian bank clients. Telematics and informatics, 31(1), 62-78. https://doi.org/10.1016/j.tele.2012.11.001
Hassan, M. A., Shukur, Z., Hasan, M. K., & Al-Khaleefa, A. S. (2020). A review on electronic payments security. Symmetry, 12(8), 1344. https://doi.org/10.3390/sym12081344
Huang, J. H., Lin, Y. R., & Chuang, S. T. (2007). Elucidating user behavior of mobile learning: A perspective of the extended technology acceptance model. The electronic library, 25(5), 585-598. https://doi.org/10.1108/02640470710829569
Johnson, V. L., Kiser, A., Washington, R., & Torres, R. (2018). Limitations to the rapid adoption of M-payment services: Understanding the impact of privacy risk on M-Payment services. Computers in Human Behavior, 79, 111-122. https://doi.org/10.1016/j.chb.2017.
Kapoor, K. K., Dwivedi, Y. K., & Williams, M. D. (2015). Examining the role of three sets of innovation attributes for determining adoption of the interbank mobile payment service. Information Systems Frontiers, 17, 1039-1056. https://doi.org/10.1007/s10796-014-9484-7
Khando, K., Islam, M. S., & Gao, S. (2022). The emerging technologies of digital payments and associated challenges: a systematic literature review. Future Internet, 15(1), 21. https://doi.org/10.3390/fi15010021
Kleijnen, M., De Ruyter, K., & Wetzels, M. (2004). Consumer adoption of wireless services: discovering the rules, while playing the game. Journal of interactive marketing, 18(2), 51-61. https://doi.org/10.1002/dir.20002.
Koksal, M. H. (2016). The intentions of Lebanese consumers to adopt mobile banking. International Journal of bank marketing, 34(3), 327-346. http://www.emeraldinsight.com/doi/10.1108/IJBM-03-2015-0025
Liébana-Cabanillas, F., Martínez-Fiestas, M., Rejón-Guardia, F., & Muñoz-Leiva, F. (2012). Gender as a moderating element of customer satisfaction with electronic banking? An empirical study. The International Journal of Management Science and Information Technology (IJMSIT), (5-(Jul-Sep)), 1-34.
Liébana-Cabanillas, F., Sánchez-Fernández, J., & Muñoz-Leiva, F. (2014). Antecedents of the adoption of the new mobile payment systems: The moderating effect of age. Computers in human behavior, 35, 464-478. https://doi.org/10.1016/j.chb.2014.03.022
Liu, Z., Min, Q., & Ji, S. (2009, May). An empirical study on mobile banking adoption: The role of trust. In 2009 Second International Symposium on Electronic Commerce and Security (Vol. 2, pp. 7-13). IEEE. https://doi.org/10.1109/ISECS.2009.150
Luarn, P., & Lin, H. H. (2005). Toward an understanding of the behavioral intention to use mobile banking. Computers in human behavior, 21(6), 873-891. https://doi.org/10.1016/j.chb.2004.03.003
Luo, X., Li, H., Zhang, J., & Shim, J. P. (2010). Examining multi-dimensional trust and multi-faceted risk in initial acceptance of emerging technologies: An empirical study of mobile banking services. Decision support systems, 49(2), 222-234. https://doi.org/10.1016/j.dss.2010.02.008
Makki, A. M., Ozturk, A. B., & Singh, D. (2016). Role of risk, self-efficacy, and innovativeness on behavioral intentions for mobile payment systems in the restaurant industry. Journal of Foodservice Business Research, 19(5), 454-473. https://doi.org/10.1080/15378020.2016.1188646
Mawona, A., & Mpogole, H. (2013, May). ICT and financial inclusion: Adoption of mobile phone banking among small business owners in Iringa, Tanzania. In 2013 IST-Africa Conference & Exhibition (pp. 1-9). IEEE.
Nagarjuna, (2019). Emerging Trends in Digital Payments–A Prospective Study.
Najib, M., & Fahma, F. (2020). Investigating the adoption of digital payment system through an extended technology acceptance model: An insight from the Indonesian small and medium enterprises. International Journal on Advanced Science, Engineering and Information Technology, 10(4), 1702-1708. https://doi.org/10.18517/ijaseit.10.4.11616
Nasri, W., & Charfeddine, L. (2012). Factors affecting the adoption of Internet banking in Tunisia: An integration theory of acceptance model and theory of planned behavior. The journal of high technology management research, 23(1), 1-14. https://doi.org/10.1016/j.hitech.2012.03.001
Nilekani, N., Khan, S. H. R., Sansi, S. K., Sharma, S. A., & Jain, S. S. (2019). Report of the high level committee on deepening of digital payments. Reserve Bank of India.
Noor, M. M. (2011). Determining critical success factors of mobile banking adoption in Malaysia. Australian Journal of Basic and Applied Sciences, 5(9), 252-265.
Okazaki, S., & Mendez, F. (2013). Exploring convenience in mobile commerce: Moderating effects of gender. Computers in Human Behavior, 29(3), 1234-1242. https://doi.org/10.1016/j.chb.2012.10.019
Panetta, I. C., Leo, S., & Delle Foglie, A. (2023). The development of digital payments–past, present, and future–from the literature. Research in International Business and Finance, 64, 101855.
Parashar, N., Gupta, S., Sharma, R., & Bandyopadhayay, A. (2023). Factors influencing the usage of mobile payment services during the COVID-19 pandemic. Asian Economic and Financial Review, 13(10), 727-737.
Patil, P. P., Dwivedi, Y. K., & Rana, N. P. (2017). Digital payments adoption: an analysis of literature. In Digital Nations–Smart Cities, Innovation, and Sustainability: 16th IFIP WG 6.11 Conference on E-Business, E-Services, and E-Society, I3E 2017, Delhi, India, November 21–23, 2017, Proceedings 16 (pp. 61-70). Springer International Publishing.
Ramayah, T. (2006). Course website usage: Does prior experience matter. WSEAS Transactions on Information Science & Applications, 2(2), 299-306.
Ramayah, T., & Lo, M. C. (2007). Impact of shared beliefs on “perceived usefulness” and “ease of use” in the implementation of an enterprise resource planning system. Management Research News, 30(6), 420-431. https://doi.org/10.1108/01409170710751917
Ramayah, T., Ignatius, J., & Aafaqi, B. (2005). PC usage among students in a private institution of higher learning: The moderating role of prior experience. Malaysian Journal of Educators and Education, 20, 131-152.
Riffai, M. M. M. A., Grant, K., & Edgar, D. (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
Rogers, E.M. (2003). Diffusion of innovations, 5 th ed., New York: Free Press, p. 512
Sahi, Alaa Mahdi, et al. "The evolving research of customer adoption of digital payment: Learning from content and statistical analysis of the literature." Journal of Open Innovation: Technology, Market, and Complexity 7.4 (2021): 230.
Sarrab, M., Al Shibli, I., & Badursha, N. (2016). An empirical study of factors driving the adoption of mobile learning in Omani higher education. International Review of Research in Open and Distributed L
Sathye, M. (1999). Adoption of Internet banking by Australian consumers: an empirical investigation. International Journal of bank marketing, 17(7), 324-334.
Schierz, P. G., Schilke, O., & Wirtz, B. W. (2010). Understanding consumer acceptance of mobile payment services: An empirical analysis. Electronic commerce research and applications, 9(3), 209-216. https://doi.org/10.1016/j.elerap.2009.07.005
See-To, E. W., & Ho, K. K. (2016). A study on the impact of design attributes on E-payment service utility. Information & Management, 53(5), 668-681.
Shih, Y. Y., & Huang, S. S. (2009). The actual usage of ERP systems: An extended technology acceptance perspective. Journal of Research and Practice in Information Technology, 41(3), 263-276.
Singh, R., & Malik, G. (2019). Impact of digitalization on Indian rural banking customer: with reference to payment systems. Emerging Economy Studies, 5(1), 31-41.
Sinha, M., Majra, H., Hutchins, J., & Saxena, R. (2019). Mobile payments in India: the privacy factor. International Journal of Bank Marketing, 37(1), 192-209.
Šumak, B., Heričko, M., Pušnik, M., & Polančič, G. (2011). Factors affecting acceptance and use of Moodle: An empirical study based on TAM. Informatica, 35(1).
Sumathy, M., & Vipin, K. P. (2017). Digital payment systems: Perception and concerns among urban consumers. IJAR, 3(6), 1118-1122.
Sun, S., Goh, T., Fam, K. S., Xue, Y., & Xue, Y. (2012). The influence of religion on Islamic mobile phone banking services adoption. Journal of Islamic marketing, 3(1), 81-98. https://doi.org/10.1108/17590831211206617
Taherdoost, H. (2018). A review of technology acceptance and adoption models and theories. Procedia manufacturing, 22, 960-967.
Tan, E., & Leby Lau, J. (2016). Behavioural intention to adopt mobile banking among the millennial generation. Young Consumers, 17(1), 18-31.
Thakur, R., & Srivastava, M. (2013). Customer usage intention of mobile commerce in India: an empirical study. Journal of Indian Business Research, 5(1), 52-72. https://doi.org/10.1108/17554191311303385
Thompson, R. L., Higgins, C. A., & Howell, J. M. (1991). Personal computing: Toward a conceptual model of utilization. MIS quarterly, 125-143.
Tregua, M., Mele, C., Russo-Spena, T., Marzullo, M.L. and Carotenuto, A., (2021, July). Digital Transformation in the Era of Covid-19. In International Conference on Applied Human Factors and Ergonomics (pp. 97-105). Springer, Cham.
Venkatesh, V. (2000). Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information systems research, 11(4), 342-365.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS quarterly, 425-478.
Wang, Y. S., Wang, Y. M., Lin, H. H., & Tang, T. I. (2003). Determinants of user acceptance of Internet banking: an empirical study. International journal of service industry management, 14(5), 501-519. https://doi.org/10.1108/09564230310500192
Wessels, L., & Drennan, J. (2010). An investigation of consumer acceptance of M‐banking. International Journal of bank marketing, 28(7), 547-568. https://doi.org/10.1108/02652321011085194
Wu, P. F. (2009, May). User acceptance of emergency alert technology: A case study. In Proceedings of the 6th International ISCRAM Conference (pp. 1-9).
Zhong, J., Dhir, A., Nieminen, M., Hämäläinen, M., & Laine, J. (2013, October). Exploring consumer adoption of mobile payments in China. In Proceedings of international conference on making sense of converging media (pp. 318-325).
Zolait, A. H. S. (2010). An examination of the factors influencing Yemeni Bank users’ behavioural intention to use Internet banking services. Journal of Financial Services Marketing, 15, 76-94. https://doi.org/10.1057/fsm.2010.1
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