Barriers and opportunities to the adoption of innovative technologies: An empirical study on the relationship between contactless payment and consumers with an extended Technology Acceptance Model

Published 2025-09-25
Keywords
- Innovative Technologies, Contactless Payment, Technology Adoption, Consumer Behaviour, Intention to Reuse
- Yenilikçi Teknolojiler, Temassız Ödeme, Teknoloji Benimseme, Tüketici Davranışı, Yeniden Kullanım Niyeti
How to Cite
Copyright (c) 2025 Barış Armutçu

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
How to Cite
Abstract
With the rapid increase in digitalisation today, the adoption of innovative technologies, such as contactless payment systems, holds critical importance for both consumers and businesses. This study examines, through an extended Technology Acceptance Model (TAM), the factors influencing the adoption of contactless payment technologies from the perspective of consumer behaviour using an extended TAM. In the model tested using structural equation modelling (PLS-SEM), the relationships between perceived ease of use, perceived usefulness, perceived risk, service quality, perceived trust, social value, brand experience, brand preference, satisfaction, and intention to reuse were empirically analysed. Additionally, this study investigated the mediating role of satisfaction in the relationship between brand experience, brand preference, and intention to reuse. The findings revealed that perceived ease of use, perceived trust, and service quality have a significant and positive effect on brand experience. Brand experience and brand preference have a substantial and positive impact on user satisfaction. Furthermore, satisfaction plays a crucial mediating role in the relationship between brand experience, brand preference, and the intention to reuse. These results demonstrate that user satisfaction is a crucial factor in influencing consumers' intentions to reuse contactless payment technologies. The lack of expected significant effects of perceived risk and usefulness highlights the importance of contextual factors in technology adoption. While this study offers critical theoretical contributions to the technology acceptance literature, it also provides practical recommendations for enhancing user experience and satisfaction in the financial technologies (fintech).
References
- Abdulrazzaq, A. & Aljawder, M. (2018). Investigating the Impact of Contactless Payment Technologies on the Students' adoption at the University of Bahrain. 1–6. https://doi.org/10.1109/3ict.2018.8855792
- Al-Sharafi, M. A., Al-Emran, M., Al-Qaysi, N., & Iahad, N. A. (2021). Evaluating the sustainable use of mobile payment contactless technologies within and beyond the COVID-19 pandemic using a hybrid SEM-ANN approach. International Journal of Bank Marketing, 40(5), 1071–1095. https://doi.org/10.1108/ijbm-07-2021-0291
- Armutcu, B. & Tan, B. (2024c). Tüketici Davranışlarında Kullanılan Modeller (Geçmişten Günümüze Tüketici Davranışlarını Belirlemede Kullanılan Modeller). Eğitim Publications. pp.1-212. Konya.
- Ahn, T. D., Ryu, S., & Han, I. (2007). The impact of web quality and playfulness on user acceptance of online retailing. Information & Management, 44(3), 263-275. https://doi.org/10.1016/j.im.2006.12.008
- Armutcu, B., Ramadani, V., Zeqiri, J., & Dana, L. (2023). The role of social media in consumers' intentions to buy green food: evidence from türkiye. British Food Journal, 126(5), 1923-1940. https://doi.org/10.1108/bfj-11-2022-0988
- Armutcu, B., Tan, A., Ho, S. P. S., Chow, M. Y. C., & Gleason, K. C. (2024b). The effect of bank artificial intelligence on consumer purchase intentions. Kybernetes. https://doi.org/10.1108/k-01-2024-0145
- Balakrishnan, V., & Lay Gan, C. (2023). Going Cashless? Elucidating Predictors for Mobile Payment Users' Readiness and Intention to Adopt. Sage Open, 13(4). https://doi.org/10.1177/21582440231215111
- Bayir, T. (2021). COVID-19 (Koronavirüs) salgını sürecinde mobil ödeme sistemlerinin algılanan risk, algılanan güven ve kullanma niyeti üzerine bir araştırma. İşletme Araştırmaları Dergisi, 13(3), 2272-2288
- Bayram, O., Talay, I., & Feridun, M. (2022). Can Fintech Promote Sustainable Finance? Policy Lessons from the Case of Turkey. Sustainability, 14(19), 12414. https://doi.org/10.3390/su141912414
- Bose, S. & Gupta, N. (2013). Customer perception of services based on the servqual dimensions: a study of indian commercial banks. Services Marketing Quarterly, 34(1), 49-66. https://doi.org/10.1080/15332969.2013.739941
- Chang, C. (2015). Exploring mobile application customer loyalty: the moderating effect of use contexts. Telecommunications Policy, 39(8), 678-690. https://doi.org/10.1016/j.telpol.2015.07.008
- Cimperman, M., Brenčić, M. M., & Trkman, P. (2016). Analysing older users' home telehealth services acceptance behaviour—applying an extended utaut model. International Journal of Medical Informatics, 90, 22-31. https://doi.org/10.1016/j.ijmedinf.2016.03.002
- Cohen, J. (1988). Statistical Power Analysis for the Behavioural Sciences (2nd Edition). Hillsdale, NJ: Lawrence Earlbaum Associates.
- Çokluk, Ö., Şekercioğlu, G. & Büyüköztürk, S. (2018). Sosyal bilimler için çok degişkenli istatistik: SPSS ve LISREL uygulamaları. Pegem Akademi Yayıncılık.
- Davis, F. D. (1986), A Technology Acceptance Model for Empirically Testing New End-User Information Systems: Theory and Results (Doctoral dissertation, Massachusetts Institute of Technology), http://hdl.handle.net/1721.1/15192
- Deng, Z., Lu, Y., Wei, K., & Zhang, J. (2010). Understanding customer satisfaction and loyalty: an empirical study of mobile instant messages in china. International Journal of Information Management, 30(4), 289-300. https://doi.org/10.1016/j.ijinfomgt.2009.10.001
- Diamantopoulos, A., & Siguaw, J. A. (2006). Formative versus reflective indicators in organisational measure development: A comparison and empirical illustration. British Journal of Management, 17(4), 263–282.
- Divanoglu, S. U. and Bagci, H. (2022). Determination of consumer-based financial brand value in banking activities. Anemon Muş Alparslan Üniversitesi Sosyal Bilimler Dergisi, 10(1), 139-155. https://doi.org/10.18506/anemon.930647
- Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50.
- Garzaro, D. M., Varotto, L. F., & Pedro, S. D. C. (2020). Internet and mobile banking: the role of engagement and experience on satisfaction and loyalty. International Journal of Bank Marketing, 39(1), 1–23. https://doi.org/10.1108/ijbm-08-2020-0457
- Hair, J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2019). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) (3rd ed.). Sage Publications.
- Hampshire, C. (2017). A mixed methods empirical exploration of uk consumer perceptions of trust, risk and usefulness of mobile payments. The International Journal of Bank Marketing, 35(3), 354-369. https://doi.org/10.1108/ijbm-08-2016-0105
- Hsiao, C., Chang, J., & Tang, K. (2016). Exploring the influential factors in continuance usage of mobile social apps: satisfaction, habit, and customer value perspectives. Telematics and Informatics, 33(2), 342-355. https://doi.org/10.1016/j.tele.2015.08.014
- Huterska, A., Szalacha-Jarmużek, J., & Piotrowska, A. I. (2021). Fear of the COVID-19 Pandemic and Social Distancing as Factors Determining the Change in Consumer Payment Behaviour at Retail and Service Outlets. Energies, 14(14), 4191. https://doi.org/10.3390/en14144191
- Koay, K. Y., Ong, D. L. T., Yeoh, H. J., & Khoo, K. L. (2021). Perceived social media marketing activities and consumer-based brand equity. Asia Pacific Journal of Marketing and Logistics, 33(1), 53–72. https://doi.org/10.1108/apjml-07-2019-0453
- Kurt, A. (2021). Temassız ödeme sistemlerinin benimsenmesi ile ilişkili unsurlar. Yüksek Lisans Tezi. İşletme Ana Bilim Dalı, Kilis 7 Aralık Üniversitesi, Kilis.
- Li, Y., Park, S., Li, H., & Choi, S. (2024). Contact or contactless payment: impact of covid-19 pandemic on consumer decision making in money domain. Sage Open, 14(1). https://doi.org/10.1177/21582440241239422
- Liébana‐Cabanillas, F., Molinillo, S., & Montañez, M. R. (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
- Lim, C. M. & Kim, Y. (2011). Older consumers' tv home shopping: loneliness, parasocial interaction, and perceived convenience. Psychology &Amp; Marketing, 28(8), 763-780. https://doi.org/10.1002/mar.20411
- Liu, Q., & Wang, X. (2023). The impact of brand trust on consumers' behaviour toward agricultural products' regional public brand. PLOS ONE, 18(11), e0295133. https://doi.org/10.1371/journal.pone.0295133
- Mandagi, D. W., Rampen, D. C., Soewignyo, T., & Walean, R. (2023). Empirical nexus of hospital brand gestalt, patient satisfaction and revisit intention. International Journal of Pharmaceutical and Healthcare Marketing, 18(2), 215-236. https://doi.org/10.1108/ijphm-04-2023-0030
- Martínez-Navalón, J.-G., Fernández-Fernández, M., & Alberto, F. P. (2023). Does privacy and ease of use influence user trust in digital banking applications in Spain and Portugal? International Entrepreneurship and Management Journal, 19(2), 781–803. https://doi.org/10.1007/s11365-023-00839-4
- Mogaji, E., & Nguyen, N. P. (2024). Evaluating the emergence of contactless digital payment technology for transportation. Technological Forecasting and Social Change, 203, 123378. https://doi.org/10.1016/j.techfore.2024.123378
- Mu, H. & Lee, Y. (2022). Will proximity mobile payments substitute traditional payments? examining factors influencing customers' switching intention during the covid-19 pandemic. International Journal of Bank Marketing, 40(5), 1051-1070. https://doi.org/10.1108/ijbm-06-2021-0284
- Nguyen, M., Nguyen, G., & Nguyen, T. (2023). Towards a post-pandemic tourism recovery: an empirical study on the behavioural intention of using contactless payment and covid-19 vaccination in vietnam. Ho Chi Minh City Open University Journal of Science - Economics and Business Administration, 14(2), 109-125. https://doi.org/10.46223/hcmcoujs.econ.en.14.2.2636.2024
- Pal, D., Vanijja, V., & Papasratorn, B. (2015). An empirical analysis towards the adoption of nfc mobile payment system by the end user. Procedia Computer Science, 69, 13-25. https://doi.org/10.1016/j.procs.2015.10.002
- Park, M., Manalili, I., Magtoto, T., Martinez, R., Solis, J., & Chua, C. (2022). Contactless payments in travel and tourism in philippines: from a technological acceptance model. American Journal of Economics and Business Innovation, 1(2), 23-33. https://doi.org/10.54536/ajebi.v1i2.264
- Puriwat, W., & Tripopsakul, S. (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
- Rafdinal, W., & Senalasari, W. (2021). Predicting the adoption of mobile payment applications during the COVID-19 pandemic. International Journal of Bank Marketing, 39(6), 984–1002. https://doi.org/10.1108/ijbm-10-2020-0532
- Rahman, M., Ismail, I., & Bahri, S. (2020). Analysing consumer adoption of cashless payment in Malaysia. Digital Business, 1(1), 100004. https://doi.org/10.1016/j.digbus.2021.100004
- Ramadani, V., Armutcu, B., Reshidi, N., Tan, A., & İnce, E. (2024). Antecedents of electric vehicle purchasing behaviors: evidence from türkiye. Business Ethics, the Environment & Responsibility, 34(2), 456-472. https://doi.org/10.1111/beer.12660
- Rohit, K., Kumari, P., Singh, N., & Alofaysan, H. (2025). Smart banking chatbots and consumer engagement: the role of trust and privacy in AI-driven banking. Journal of Strategic Marketing, ahead-of-print(ahead-of-print), 1–18. https://doi.org/10.1080/0965254x.2025.2481140
- Roig, J. C. F., Sánchez, J., Tena, M. Á. M., & Monzonís, J. L. (2006). Customer perceived value in banking services. International Journal of Bank Marketing, 24(5), 266-283. https://doi.org/10.1108/02652320610681729
- Soper, D.S. (2025). A-priori Sample Size Calculator for Structural Equation Models [Software]. Available from https://www.danielsoper.com/statcalc
- Sotheara, H., Zhang, J., & Yen, Y. (2015). Leveraging brand loyalty in service branding: the role of satisfaction. Journal of International Business Research and Marketing, 1(6), 17-23. https://doi.org/10.18775/jibrm.1849-8558.2015.16.3003
- Thoumrungroje, A., & Suprawan, L. (2024). Investigating M-Payment Intention across Consumer Cohorts. Journal of Theoretical and Applied Electronic Commerce Research, 19(1), 431–447. https://doi.org/10.3390/jtaer19010023
- Tosun, P., & Köylüoğlu, A. S. (2023). The impact of brand origin and CSR actions on consumer perceptions in retail banking during a crisis. International Journal of Bank Marketing, 41(3), 485–507. https://doi.org/10.1108/ijbm-03-2022-0137
- Wang, K. (2015). Determinants of mobile value-added service continuance: the mediating role of service experience. Information &Amp; Management, 52(3), 261-274. https://doi.org/10.1016/j.im.2014.11.005
- Wang, Y. & Lin, W. (2019). Understanding consumer intention to pay by contactless credit cards in taiwan. International Journal of Mobile Communications, 17(1), 1. https://doi.org/10.1504/ijmc.2019.096507
- Westland, J.C. (2010). Lower bounds on sample size in structural equation modeling. Electronic Commerce Research and Applications, 9(6), 476-487.
- Yuan, S., Liu, Y., Rui-hong, Y., & Liu, J. (2014). An investigation of users' continuance intention towards mobile banking in china. Information Development, 32(1), 20-34. https://doi.org/10.1177/0266666914522140
- Zhou, T. (2011). Understanding mobile internet continuance usage from the perspectives of utaut and flow. Information Development, 27(3), 207-218. https://doi.org/10.1177/0266666911414596
- 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