Abstract :

Contactless payment is arguably the fastest growing payment methods across the globe. The purpose of this article is to do a study of the consumer acceptance of contactless payments in India using a survey sample of 165 respondents from Chennai. While technology acceptance model (TAM) has been normally used, the proposed model make use of seven variables (perceived usefulness, perceived ease of use, perceived risk, engagement, compatibility, trust and hedonic motivation) taking into consideration the customer, service provider and the technology eco system. Findings of the study indicates that perceived ease of use, compatibility and perceived usefulness were the main factors influencing contactless payment acceptance. This study extends the knowledge of consumer’s payment-decision making and provides insights into how to promote contactless payments.

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Keywords :

Compatibility, Consumer Acceptance, Contactless Payment, Engagement, NFC

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References :

1. Aiken, L. S., & West, S. G. (1991). Multiple regression: Testing and interpreting interactions. Thousand Oaks, CA: SAGE Publications.
2. Agarwal, R., & Karahanna, E. (2000). Time flies when you’re having fun: Cognitive absorption and beliefs about information technology usage. MIS quarterly, 24(4), 665-694. https://doi. org/10.2307/3250951
3. Ajzen, I. (2002). Constructing a TPB questionnaire: Conceptual and methodological considerations.
https://www.semanticscholar.org/paper/Constructing-a-TpB-Questionnaire%3A-Conceptual-and-Ajzen/0574b20bd 58130dd 5a9 61f1a2db10fd1fcbae95d
4. Al-Shomali, S. A., Gholami, R., & Clegg, B. (2008). Internet banking acceptance in the context of developing countries: An extension of the technology acceptance model. European Conference on Management of Technology, Nice, Francetim
5. Chuttur M.Y (2009). Overview of the Technology Acceptance Model: Origins, Developments and Future Directions, Indiana University, USA. Sprouts: Working Papers on Information Systems. 9(37).
6. D. Adams, R. Nelson, and P. Todd, “Perceived usefulness, ease of use and Usage of Information Technology: A replication,” MIS Quarterly, vol. 16, pp. 227-248, 1992
7. De Ruyter, K., Wetzels, M., & Kleijnen, M. (2001). Customer adoption of e-service: an experimental study. International journal of service industry management, 12(2), 184-207. https://doi.org /10. 1108/09564230110387542
8. E. Ibrahim, M. Joseph, and K. Ibeh, “Customers’ perception of electronic service delivery in the UK retail banking sector,” International Journal of Bank Marketing, vol. 24, pp. 475-493, 2006.
9. Fishbein, M. and Ajzen, I., (1975). Belief, attitude, intention and behaviour: An introduction to theory and research.
10. Joseph, M., McClure, & Joseph, B. (1999). Service quality in the banking sector: The impact of technology on service delivery. International Journal of Bank Marketing, 17(4), 182–191.
11. Kesharwani, A., & Bisht, S. S. (2012). The impact of trust and perceived risk on internet banking adoption in India: An extension of technology acceptance model. International Journal of Bank Marketing, 30, 303–322
12. 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.
13. Kim, S. S., Malhotra, N. K., & Narasimhan, S. (2005). Two competing perspectives on automatic use: A theoretical and empirical comparison. Information Systems Research, 16, 418–432.
14. Kleijnen, M., Wetzels, M., & de Ruyter, K. (2004). Consumer acceptance of wireless finance. Journal of Financial Services Marketing, 8(3), 206–217. https://doi.org/10.1057/palgrave.fsm.4770120
15. Kollmann, T. (2004). Attitude, adoption or acceptance? – measuring the market success of telecommunication and multimedia technology. International Journal of Business Performance Management. 6(2): 133-152.
16. Liébana-Cabanillas, F., Ramos de Luna, I., & Montoro-Ríos, F. J. (2015). User behaviour in QR mobile payment system: the QR Payment Acceptance Model. Technology Analysis and Strategic Management, 27(9), 1031–1049.
https://doi.org/10.1080/09537325.2015.1047757
17. Limayem, M., Hirt, S. G., & Chin, W. W. (2001). Intention does not always matter: The contingent role of habit on IT usage behaviour. Presented at the 9th European Conference on Information Systems, Bled, Slovenia.
18. Mohd-Any, A. A., Mahdzan, N. S., & Valinejad, H. (2016). Young adults’ perceptions of online service quality. International Journal of Electronic Marketing and Retailing, 7(2), 91-114. https://doi.org/10.1504/ IJEMR.2016.077115
19. Murali, S. R., & Mallikarjuna, V. (2014). Consumer adoption of net banking in Tier-III cities of Andhra Pradesh: An empirical study. International Journal of Scientific Research, 3, 269– 272
20. P. Pavlou, “Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model,” International Journal of Electronic Commerce, vol. 7, pp. 101-134, 2003.
21. Pavlou, P., (2001). Integrating trust in electronic commerce with the technology acceptance model: model development and validation. Amcis 2001 proceedings, 159.
22. Saxena, R., Sinha, M., & Majra, H. (2016). Banking in India: Role of self-service technologies. Thriving in New World Economy, 5, 186–189.
23. Shankar, A. and Datta, B., (2018). Factors Affecting Mobile Payment Adoption Intention: An Indian Perspective. Global Business Review, 19(3_suppl), S72-S89
24. Shima, N., & Mohamadali, A. K. (2017). Examining the factors affecting willingness to use electronic banking: the integration of TAM and TPB models with electronic service quality (case study: Eghtesad Novin Bank). Journal of Fundamental and Applied Sciences, 9(1S), 824-841. Retrieved from https://www. ajol.info/index.php/jfas/article/ view/159186/157627
25. Shin, D. H. (2009). Determinants of customer acceptance of multiservice network: An implication for IP-based technologies. Information & Management, 46(1), 16-22. https://doi.org/10.1016/j. im.2008.05.004
26. Singh, S., & Srivastava, R. K. (2018). Predicting the intention to use mobile banking in India. International Journal of Bank Marketing, 36(2), 357–378. https://doi.org/10.1108/IJBM-12-2016-0186
27. Singh, S. (2019). Measuring E-Service Quality and Customer Satisfaction with Internet Banking in India. Theoretical Economics Letters, 9(2), 308-326. https://doi. org/10.4236/tel.2019.92023
28. Strite, M., & Karahanna, E. (2006). The influence of national culture on the acceptance of information technologies: An empirical study. MIS Quarterly, 30, 679-704.
29. Suh, B., & Han, I. (2002). Effect of trust on customer acceptance of Internet banking. Electronic Commerce Research and Applications, 1(3&4), 247-263.
30. Taherdoost, H. (2018). Development of an adoption model to assess user acceptance of e-service technology: E-Service Technology Acceptance Model. Behaviour & Information Technology, 37(2), 173-197. https://doi.org/10.1080/014492 9X.2018.1427793
31. Taylor, S., & Todd, P. A. (1995). Understanding information technology usage: A test of competing models. Information Systems Research, 6(2), 144–176
32. Vatnani, R., & Verma, S. (2014). Comprehensive framework for internet banking adoption: An empirical analysis in the India context. International Journal of Business Information System, 15, 307–324
33. Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46, 186–204
34. Van der Heijden, H. (2004). User acceptance of hedonic information systems. MIS Quarterly, 28(4), 695-704
35. Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the Unified theory of acceptance and use of technology. MIS Quarterly, 31, 157–178.
36. Venkataraman, S. (2010). Enabling urban development in India through technology: Making change effective. Journal of Indian Business Research, 2(2), 92 – 108.
37. Venkatesh, V., Morris, M.G., Davis, G.B., and Davis, F.D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly. 27(3): pp 425-478.
38. V. Polatoglu and S. Ekin, “An empirical investigation of the turkish consumer’s acceptance of internet banking services,” International Journal of Bank Marketing, vol. 19, pp. 156-165, 2001.
39. W. Hong, J. Thong, W. Wong, and K. Tam, “Determinant of user acceptance of digital libraries: An empirical examination of individual differences and system characteristics,” Journal of Management information Systems, vol. 18, pp. 97-124, 2001
40. Yi, M.Y., & Hwang, Y. (2003). Predicting the use of web-based information systems: self-efficacy, enjoyment, learning goal orientation, and the technology acceptance model. International Journal of Human-Computer Studies, 59(4), 431-49.