INNOVATING PAYMENTS SUSTAINABLY

A JOURNEY THROUGH RISKS, REWARDS, AND REGULATORY READINESS

Authors

  • Hui Chen Ng Asia Pacific University of Technology & Innovation
  • Muzafar Shah Habibullah Putra Business School
  • Resul Sapar Putra Business School

DOI:

https://doi.org/10.33736/ijbs.7963.2025

Keywords:

FinTech Payment; Benefits; Risks, UTAUT, meta-UTAUT, VAM

Abstract

Despite its potential, FinTech payments have not yet become the mainstream payment method. Traditional card and cash are still preferred over FinTech payments globally, including in Malaysia.

This study aims to investigate the factors driving the usage of FinTech payments in Malaysia based on the Unified Theory of Acceptance and Use of Technology (UTAUT), meta UTAUT, and the Value-based Adoption Model (VAM) covering multiple perspectives of system properties, individual characteristic, and external environment. A total of 546 responses were collected from 13 states in Malaysia using a stratified random sampling technique and analysed using the PLS-SEM approach.

The findings suggest effort expectancy, social benefit, openness to change, and attitude are significant determinants of intention. Attitude is found to mediate the relationship between performance and effort expectancy, economic and social benefit, regulatory support, openness to change, and intention. However, social influence, security, and privacy risk did not impact attitude and intention.

To the best of our knowledge, this is the first study integrating UTAUT, meta-UTAUT, and VAM to explain this issue. By combining multiple theories into one comprehensive framework, it provides valuable insights for developing strategies to promote greater adoption of these technologies.

References

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(March), 101367. https://doi.org/10.1016/j.techsoc.2020.101367

https://doi.org/10.1016/j.techsoc.2020.101367

Al-Saedi, K., Al-Emran, M., Ramayah, T., & Abusham, E. (2020). Developing a general extended UTAUT model for M-payment adoption. Technology in Society, 62(September 2019), 101293. https://doi.org/10.1016/j.techsoc.2020.101293

https://doi.org/10.1016/j.techsoc.2020.101293

Alalwan, A. A., Baabdullah, A. M., Al-Debei, M. M., Raman, R., Alhitmi, H. K., Abu-ElSamen, A. A., & Dwivedi, Y. K. (2023). Fintech and contactless payment : Help or hindrance ? The role of invasion of privacy and information disclosure payment. International Journal of Bank Marketing. https://doi.org/10.1108/IJBM-08-2022-0339

https://doi.org/10.1108/IJBM-08-2022-0339

Alalwan, A. A., Dwivedi, Y. K., & Rana, N. P. (2017). Factors influencing adoption of mobile banking by Jordanian bank customers: Extending UTAUT2 with trust. International Journal of Information Management, 37(3), 99-110. https://doi.org/10.1016/j.ijinfomgt.2017.01.002

https://doi.org/10.1016/j.ijinfomgt.2017.01.002

Albastaki, T., Hamdan, A., Albastaki, Y., & Bakir, A. (2022). Factors affecting e-payment acceptance by customers : an empirical study in the Kingdom of Bahrain. Competitiveness Review: An International Business Journal. https://doi.org/10.1108/CR-09-2022-0133

https://doi.org/10.1108/CR-09-2022-0133

Albayati, H., Kim, S. K., & Rho, J. J. (2020). Accepting financial transactions using blockchain technology and cryptocurrency: A customer perspective approach. Technology in Society, 62(July), 101320. https://doi.org/10.1016/j.techsoc.2020.101320

https://doi.org/10.1016/j.techsoc.2020.101320

Alhassan, M. D., Kolog, E. A., & Boateng, R. (2020). Effect of gratification on user attitude and continuance use of mobile payment services: a developing country context. Journal of Systems and Information Technology, 22(4), 353-380. https://doi.org/10.1108/JSIT-01-2020-0010

https://doi.org/10.1108/JSIT-01-2020-0010

Amin, H. (2021). Choosing murabahah to the purchase orderer (MPO) vehicle financing: an Islamic theory of consumer behaviour perspective. Management Research Review, 44(4), 588-606. https://doi.org/10.1108/MRR-03-2020-0118

https://doi.org/10.1108/MRR-03-2020-0118

Amin, H., & Hassan, M. K. (2022). Millennials ' acceptability of tawarruq -based ar-rahnu in Malaysia. International Journal of Ethics and Systems, 38(3), 510-529. https://doi.org/10.1108/IJOES-09-2021-0170

https://doi.org/10.1108/IJOES-09-2021-0170

Arli, D., & Bakpayev, M. (2023). Exploring the role of innovation attributes on mobile payment adoption. Journal of Consumer Marketing, 7(May), 826-841. https://doi.org/10.1108/JCM-04-2021-4630

https://doi.org/10.1108/JCM-04-2021-4630

Aw, E. C., Rana, N. P., & Tan, T. M. (2023). Counteracting dark sides of robo-advisors : justice , privacy and intrusion considerations. International Journal of Bank Marketing. https://doi.org/10.1108/IJBM-10-2022-0439

https://doi.org/10.1108/IJBM-10-2022-0439

Baishya, K., & Samalia, H. V. (2020). Extending unified theory of acceptance and use of technology with perceived monetary value for smartphone adoption at the bottom of the pyramid. International Journal of Information Management, 51(September 2018), 102036. https://doi.org/10.1016/j.ijinfomgt.2019.11.004

https://doi.org/10.1016/j.ijinfomgt.2019.11.004

Bajunaied, K., Hussin, N., & Kamarudin, S. (2023). Journal of Open Innovation: Technology, Market, and Complexity. 9(February).

https://doi.org/10.1016/j.joitmc.2023.100010

Bank for International Settlements. (2023). BIS Statistics Explorer. https://stats.bis.org/statx/toc/CPMI.html

Bank Negara Malaysia. (2024). Payment Statistics. https://www.bnm.gov.my/payment-statistics

Electronic Money (E-Money), 79 (2022) (testimony of Bank Negara Malaysia (BNM)). https://www.bnm.gov.my/documents/20124/943361/PD-eMoney-202302.pdf

Belanche, D., Casaló, L. V., & Flavián, C. (2019). Artificial Intelligence in FinTech: understanding robo-advisors adoption among customers. Industrial Management and Data Systems, 119(7), 1411-1430. https://doi.org/10.1108/IMDS-08-2018-0368

https://doi.org/10.1108/IMDS-08-2018-0368

Cao, Q., & Niu, X. (2019). Integrating context-awareness and UTAUT to explain Alipay user adoption. International Journal of Industrial Ergonomics, 69(March 2018), 9-13. https://doi.org/10.1016/j.ergon.2018.09.004

https://doi.org/10.1016/j.ergon.2018.09.004

CCAF, World Bank, & World Economic Forum. (2022). The Global COVID-19 Fintech Market Impact and Industry Resilience Study.

Chakraborty, A. (2022). Privacy Perceptions, Attitudes, and Behaviors: Perspectives from Indonesian Smartphone Users. https://www.centerforfinancialinclusion.org/privacy-perceptions-attitudes-and-behaviors-perspectives-from-indonesian-smartphone-users

Charag, A. H., Fazili, A. I., & Bashir, I. (2019). Determinants of consumer's readiness to adopt Islamic banking in Kashmir. Journal of Islamic Marketing, 11(5), 1125-1154. https://doi.org/10.1108/JIMA-10-2018-0182

https://doi.org/10.1108/JIMA-10-2018-0182

Chawla, D., & Joshi, H. (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

https://doi.org/10.1108/IJBM-09-2018-0256

Contreras Pinochet, L. H., Diogo, G. T., Lopes, E. L., Herrero, E., & Bueno, R. L. P. (2019). Propensity of contracting loans services from FinTech's in Brazil. International Journal of Bank Marketing, 37(5), 1190-1214. https://doi.org/10.1108/IJBM-07-2018-0174

https://doi.org/10.1108/IJBM-07-2018-0174

Cristofaro, M., Giardino, P. L., Misra, S., Pham, Q. T., & Phan, H. H. (2023). Behavior or culture ? Investigating the use of cryptocurrencies for electronic commerce across the USA and China. Management Research Review, 46(3), 340-368. https://doi.org/10.1108/MRR-06-2021-0493

https://doi.org/10.1108/MRR-06-2021-0493

Das, A., & Das, D. (2023). Adoption of FinTech services amidst COVID-19 pandemic : empirical evidence from Assam. Managerial Finance, 49(6), 1075-1093. https://doi.org/10.1108/MF-08-2022-0379

https://doi.org/10.1108/MF-08-2022-0379

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly: Management Information Systems, 13(3), 319-339. https://doi.org/10.2307/249008

https://doi.org/10.2307/249008

Department of Statistics Malaysia. (2022). Current Population Estimates, Malaysia, 2022. https://www.dosm.gov.my/v1/index.php?r=column/cthemeByCat&cat=155&bul_id=dTZXanV6UUdyUEQ0SHNWOVhpSXNMUT09&menu_id=L0pheU43NWJwRWVSZklWdzQ4TlhUUT09

Department of Statistics Malaysia. (2024). Labour Force Statistic Report (Issue May). https://www.dosm.gov.my/uploads/release-content/file_20240710115833.pdf

Dwivedi, Y. K., Rana, N. P., Jeyaraj, A., Clement, M., & Williams, M. D. (2019). Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model. Information Systems Frontiers, 21(3), 719-734. https://doi.org/10.1007/s10796-017-9774-y

https://doi.org/10.1007/s10796-017-9774-y

Elhajjar, S., & Ouaida, F. (2020). An analysis of factors affecting mobile banking adoption. International Journal of Bank Marketing, 38(2), 352-367. https://doi.org/10.1108/IJBM-02-2019-0055

https://doi.org/10.1108/IJBM-02-2019-0055

Ezeh, P. C., & Nkamnebe, A. (2020). Predictors of Islamic bank adoption: Nigerian perspective. International Journal of Islamic and Middle Eastern Finance and Management, 14(2), 247-267. https://doi.org/10.1108/IMEFM-01-2019-0035

https://doi.org/10.1108/IMEFM-01-2019-0035

Farzin, M., Sadeghi, M., Yahyayi Kharkeshi, F., Ruholahpur, H., & Fattahi, M. (2021). Extending UTAUT2 in M-banking adoption and actual use behavior: Does WOM communication matter? Asian Journal of Economics and Banking, 5(2), 136-157. https://doi.org/10.1108/ajeb-10-2020-0085

https://doi.org/10.1108/AJEB-10-2020-0085

Fishbein, M., & Ajzen, I. (1975). Chapter 1. Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research. In Reading, MA: Addison-Wesley.

Flavian, C., Guinaliu, M., & Lu, Y. (2020). Mobile payments adoption - introducing mindfulness to better understand consumer behavior. International Journal of Bank Marketing, 38(7), 1575-1599. https://doi.org/10.1108/IJBM-01-2020-0039

https://doi.org/10.1108/IJBM-01-2020-0039

Flavián, C., Pérez-Rueda, A., Belanche, D., & Casaló, L. V. (2022). Intention to use analytical artificial intelligence (AI) in services - the effect of technology readiness and awareness. Journal of Service Management, 33(2), 293-320. https://doi.org/10.1108/JOSM-10-2020-0378

https://doi.org/10.1108/JOSM-10-2020-0378

Foroughi, B., Iranmanesh, M., & Hyun, S. S. (2019). Understanding the determinants of mobile banking continuance usage intention. Journal of Enterprise Information Management, 32(6), 1015-1033. https://doi.org/10.1108/JEIM-10-2018-0237

https://doi.org/10.1108/JEIM-10-2018-0237

Gerlach, J. M., & Lutz, J. K. T. (2019). Evidence on Usage Behavior and Future Adoption Intention of Fintechs and Digital Finance Solutions. The International Journal of Business and Finance Research, 13(2), 83-105.

Gupta, A., & Arora, N. (2017a). Consumer adoption of m-banking: a behavioral reasoning theory perspective. International Journal of Bank Marketing, 35(4), 733-747. https://doi.org/10.1108/IJBM-11-2016-0162

https://doi.org/10.1108/IJBM-11-2016-0162

Gupta, A., & Arora, N. (2017b). Understanding determinants and barriers of mobile shopping adoption using behavioral reasoning theory. Journal of Retailing and Consumer Services, 36(December 2016), 1-7. https://doi.org/10.1016/j.jretconser.2016.12.012

https://doi.org/10.1016/j.jretconser.2016.12.012

Gupta, K., & Arora, N. (2020). Investigating consumer intention to accept mobile payment systems through unified theory of acceptance model: An Indian perspective. South Asian Journal of Business Studies, 9(1), 88-114. https://doi.org/10.1108/SAJBS-03-2019-0037

https://doi.org/10.1108/SAJBS-03-2019-0037

Hair, J., Hult, G. T., Ringle, C., & Sarstedt, M. (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). In Sage Publications, Inc. (2nd ed.).

Hassan, S., Islam, A., Faizal, M., & Nasir, H. (2023). Users ' fintech services acceptance : A cross-sectional study on Malaysian Insurance & takaful industry. Heliyon, 9(11), e21130. https://doi.org/10.1016/j.heliyon.2023.e21130

https://doi.org/10.1016/j.heliyon.2023.e21130

Hazarika, B., Shrivastava, U., & Rea, A. (2023). Motivating mobile payment adoption during global pandemic : insights from protection motivation and theory of planned behavior. Global Knowledge, Memory and Communication. https://doi.org/10.1108/GKMC-02-2023-0065

https://doi.org/10.1108/GKMC-02-2023-0065

Himel, M. T. A., Ashraf, S., Bappy, T. A., Abir, M. T., Morshed, M. K., & Hossain, M. N. (2021). Users' attitude and intention to use mobile financial services in Bangladesh: an empirical study. South Asian Journal of Marketing, 2(1), 72-96. https://doi.org/10.1108/sajm-02-2021-0015

https://doi.org/10.1108/SAJM-02-2021-0015

Hoi, V. N. (2020). Understanding higher education learners' acceptance and use of mobile devices for language learning: A Rasch-based path modeling approach. Computers and Education, 146(August 2019), 103761. https://doi.org/10.1016/j.compedu.2019.103761

https://doi.org/10.1016/j.compedu.2019.103761

Hu, Z., Ding, S., Li, S., Chen, L., & Yang, S. (2019). Adoption intention of fintech services for bank users: An empirical examination with an extended technology acceptance model. Symmetry, 11(3). https://doi.org/10.3390/sym11030340

https://doi.org/10.3390/sym11030340

Humbani, M., & Wiese, M. (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

https://doi.org/10.1108/IJBM-03-2018-0072

Hussain, M., Mollik, A. T., Johns, R., & Rahman, M. S. (2019). M-payment adoption for bottom of pyramid segment: an empirical investigation. International Journal of Bank Marketing, 37(1), 362-381. https://doi.org/10.1108/IJBM-01-2018-0013

https://doi.org/10.1108/IJBM-01-2018-0013

Irimia-di, A., Albort-morant, G., Oliver-alfonso, M. D., & Ullah, S. (2023). Predicting the intention to use Paytech services by Islamic banking users. International Journal of Islamic and Middle Eastern Finance and Management. https://doi.org/10.1108/IMEFM-07-2022-0298

https://doi.org/10.1108/IMEFM-07-2022-0298

Jadil, Y., Rana, N. P., & Dwivedi, Y. K. (2021). A meta-analysis of the UTAUT model in the mobile banking literature: The moderating role of sample size and culture. Journal of Business Research, 132, 354-372. https://doi.org/10.1016/J.JBUSRES.2021.04.052

https://doi.org/10.1016/j.jbusres.2021.04.052

Jayashankar, P., Nilakanta, S., Johnston, W. J., Gill, P., & Burres, R. (2018). IoT adoption in agriculture: the role of trust, perceived value and risk. Journal of Business and Industrial Marketing, 33(6), 804-821. https://doi.org/10.1108/JBIM-01-2018-0023

https://doi.org/10.1108/JBIM-01-2018-0023

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.2017.10.035

https://doi.org/10.1016/j.chb.2017.10.035

Joseph F. Hair, J., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2022). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) (3rd ed.). SAGE Publications, Inc.

Juisin, H. A., Sayuthi, M. A. S. M., Amin, H., & Shaikh, I. M. (2023). Determinants of Shari ' ah gold investment behaviour : the case of. Journal of Islamic Marketing, 14(12), 3228-3246. https://doi.org/10.1108/JIMA-11-2021-0360

https://doi.org/10.1108/JIMA-11-2021-0360

Jünger, M., & Mietzner, M. (2019). Banking goes digital: The adoption of FinTech services by German households. Finance Research Letters, 34, 1-13. https://doi.org/10.1016/j.frl.2019.08.008

https://doi.org/10.1016/j.frl.2019.08.008

Kala Kamdjoug, J. R., Wamba-Taguimdje, S. L., Wamba, S. F., & Kake, I. B. e. (2021). Determining factors and impacts of the intention to adopt mobile banking app in Cameroon: Case of SARA by afriland First Bank. Journal of Retailing and Consumer Services, 61(December 2020), 102509. https://doi.org/10.1016/j.jretconser.2021.102509

https://doi.org/10.1016/j.jretconser.2021.102509

Karjaluoto, H., Shaikh, A. A., Leppäniemi, M., & Luomala, R. (2020). Examining consumers' usage intention of contactless payment systems. International Journal of Bank Marketing, 38(2), 332-351. https://doi.org/10.1108/IJBM-04-2019-0155

https://doi.org/10.1108/IJBM-04-2019-0155

Khalilzadeh, J., Ozturk, A. B., & Bilgihan, A. (2017). Security-related factors in extended UTAUT model for NFC based mobile payment in the restaurant industry. Computers in Human Behavior, 70(2017), 460-474. https://doi.org/10.1016/j.chb.2017.01.001

https://doi.org/10.1016/j.chb.2017.01.001

Khan, S., Khan, S. U., Khan, I. U., Khan, S. Z., & Khan, R. U. (2023). Understanding consumer adoption of mobile payment in Pakistan. Journal of Science and Technology Policy Management. https://doi.org/10.1108/JSTPM-07-2021-0110

https://doi.org/10.1108/JSTPM-07-2021-0110

Kim, H. W., Chan, H. C., & Gupta, S. (2007). Value-based Adoption of Mobile Internet: An empirical investigation. Decision Support Systems, 43(1), 111-126. https://doi.org/10.1016/j.dss.2005.05.009

https://doi.org/10.1016/j.dss.2005.05.009

Kim, M. K., Joo, C., & Park, J. H. (2017). Investigating the determinants of low adoption of tablet PCs in Korean firms: Effects of value perception and alternative attractiveness. Telematics and Informatics, 34(8), 1557-1571. https://doi.org/10.1016/j.tele.2017.07.003

https://doi.org/10.1016/j.tele.2017.07.003

Lee, J. M., & Kim, H. J. (2020). Determinants of adoption and continuance intentions toward Internet-only banks. International Journal of Bank Marketing, 38(4), 843-865. https://doi.org/10.1108/IJBM-07-2019-0269

https://doi.org/10.1108/IJBM-07-2019-0269

Leong, C. M., Tan, K. L., Puah, C. H., & Chong, S. M. (2021). Predicting mobile network operators users m-payment intention. European Business Review, 33(1). https://doi.org/10.1108/EBR-10-2019-0263

https://doi.org/10.1108/EBR-10-2019-0263

Li, Y., Mou, J., Ye, L., Long, J., & Huang, W. (Wayne). (2021). An empirical investigation of the utilitarian, social benefits in LBS information disclosure-The moderating effect of the gender based social role theory. International Journal of Information Management, 56(September 2020), 102243. https://doi.org/10.1016/j.ijinfomgt.2020.102243

https://doi.org/10.1016/j.ijinfomgt.2020.102243

Liébana-Cabanillas, F., Japutra, A., Molinillo, S., Singh, N., & Sinha, N. (2020). Assessment of mobile technology use in the emerging market: Analyzing intention to use m-payment services in India. Telecommunications Policy, 44(9). https://doi.org/10.1016/j.telpol.2020.102009

https://doi.org/10.1016/j.telpol.2020.102009

Lin, K. Y., Wang, Y. T., & Huang, T. K. (2020). Exploring the antecedents of mobile payment service usage: Perspectives based on cost-benefit theory, perceived value, and social influences. Online Information Review, 44(1), 299-318. https://doi.org/10.1108/OIR-05-2018-0175

https://doi.org/10.1108/OIR-05-2018-0175

Liu, Y. li, Yan, W., & Hu, B. (2021). Resistance to facial recognition payment in China: The influence of privacy-related factors. Telecommunications Policy, 45(5). https://doi.org/10.1016/j.telpol.2021.102155

https://doi.org/10.1016/j.telpol.2021.102155

Loh, X. M., Lee, V. H., Tan, G. W. H., Ooi, K. B., & Dwivedi, Y. K. (2021). Switching from cash to mobile payment: what's the hold-up? Internet Research, 31(1), 376-399. https://doi.org/10.1108/INTR-04-2020-0175

https://doi.org/10.1108/INTR-04-2020-0175

Madan, K., & Yadav, R. (2018). Understanding and predicting antecedents of mobile shopping adoption: A developing country perspective. Asia Pacific Journal of Marketing and Logistics, 30(1), 139-162. https://doi.org/10.1108/APJML-02-2017-0023

https://doi.org/10.1108/APJML-02-2017-0023

Maryam, S. Z., Ahmad, A., Aslam, N., & Farooq, S. (2021). Reputation and cost benefits for attitude and adoption intention among potential customers using theory of planned behavior: an empirical evidence from Pakistan. Journal of Islamic Marketing. https://doi.org/10.1108/JIMA-03-2021-0059

https://doi.org/10.1108/JIMA-03-2021-0059

Maureen Nelloh, L. A., Santoso, A. S., & Slamet, M. W. (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

https://doi.org/10.1016/j.procs.2019.11.228

Mazambani, L., & Mutambara, E. (2020). Predicting FinTech innovation adoption in South Africa: the case of cryptocurrency. African Journal of Economic and Management Studies, 11(1), 30-50. https://doi.org/10.1108/AJEMS-04-2019-0152

https://doi.org/10.1108/AJEMS-04-2019-0152

Merhi, M., Hone, K., & Tarhini, A. (2019). A cross-cultural study of the intention to use mobile banking between Lebanese and British consumers: Extending UTAUT2 with security, privacy and trust. Technology in Society, 59(June). https://doi.org/10.1016/j.techsoc.2019.101151

https://doi.org/10.1016/j.techsoc.2019.101151

Miller, V. D., Johnson, J. R., & Grau, J. (1994). Antecedents to willingness to participate in a planned organizational change. Journal of Applied Communication Research, 22(1), 59-80. https://doi.org/10.1080/00909889409365387

https://doi.org/10.1080/00909889409365387

Mohd Thas Thaker, M. A. Bin, Allah Pitchay, A. Bin, Mohd Thas Thaker, H. Bin, & Amin, M. F. Bin. (2019). Factors influencing consumers' adoption of Islamic mobile banking services in Malaysia: An approach of partial least squares (PLS). Journal of Islamic Marketing, 10(4), 1037-1056. https://doi.org/10.1108/JIMA-04-2018-0065

https://doi.org/10.1108/JIMA-04-2018-0065

Mostafa, R. B. (2020). Mobile banking service quality: a new avenue for customer value co-creation. International Journal of Bank Marketing, 38(5), 1107-1132. https://doi.org/10.1108/IJBM-11-2019-0421

https://doi.org/10.1108/IJBM-11-2019-0421

Nguyen, Y. T. H., Tapanainen, T., & Nguyen, H. T. T. (2022). Reputation and its consequences in Fintech services: the case of mobile banking. International Journal of Bank Marketing, 40(7), 1364-1397. https://doi.org/10.1108/IJBM-08-2021-0371

https://doi.org/10.1108/IJBM-08-2021-0371

Nugraha, D. P., Setiawan, B., Nathan, R. J., & Farkas, M. F. (2022). Fintech Adoption Drivers for Innovation for SMEs in Indonesia. Journal of Open Innovation: Technology, Market, and Complexity, 8(4), 208. https://doi.org/10.3390/joitmc8040208

https://doi.org/10.3390/joitmc8040208

Oktavendi, T. W., & Mu'ammal, I. (2022). Acceptance model for predicting adoption of Zakat , Infaq , and Sodaqoh ( ZIS ) digital payments in Generation Z. Journal of Islamic Accounting and Business Research, 13(4), 684-700. https://doi.org/10.1108/JIABR-09-2021-0267

https://doi.org/10.1108/JIABR-09-2021-0267

Oladapo, I. A., Hamoudah, M. M., Alam, M. M., Olaopa, O. R., & Muda, R. (2022). Customers' perceptions of FinTech adaptability in the Islamic banking sector: comparative study on Malaysia and Saudi Arabia. Journal of Modelling in Management, 17(4), 1241-1261. https://doi.org/10.1108/JM2-10-2020-0256

https://doi.org/10.1108/JM2-10-2020-0256

Pal, A., Herath, T., De', R., & Raghav Rao, H. (2021). Why do people use mobile payment technologies and why would they continue? An examination and implications from India. Research Policy, 50(6), 104228. https://doi.org/10.1016/j.respol.2021.104228

https://doi.org/10.1016/j.respol.2021.104228

Palash, A. S., Talukder, M. S., Islam, A. K. M. N., & Bao, Y. (2022). Positive and negative valences , personal innovativeness and intention to use facial recognition for payments. Industrial Management & Data Systems, 122(4), 1081-1108. https://doi.org/10.1108/IMDS-04-2021-0230

https://doi.org/10.1108/IMDS-04-2021-0230

Park, J. K., Ahn, J., Thavisay, T., & Ren, T. (2019). Examining the role of anxiety and social influence in multi-benefits of mobile payment service. Journal of Retailing and Consumer Services, 47(April 2018), 140-149. https://doi.org/10.1016/j.jretconser.2018.11.015

https://doi.org/10.1016/j.jretconser.2018.11.015

Patil, P., Tamilmani, K., Rana, N. P., & Raghavan, V. (2020). Understanding consumer adoption of mobile payment in India: Extending Meta-UTAUT model with personal innovativeness, anxiety, trust, and grievance redressal. International Journal of Information Management, 54(February), 102144. https://doi.org/10.1016/j.ijinfomgt.2020.102144

https://doi.org/10.1016/j.ijinfomgt.2020.102144

PayNet. (2022). Weathering the pandemic PayNet Digital Payments Insights Study 2022. https://paynet.my/publications/Digital-Payments-Insights-Study-2022.pdf

Pillai, R., & Sivathanu, B. (2018). An empirical study on the adoption of M-learning apps among IT/ITeS employees. Interactive Technology and Smart Education, 15(3), 182-204. https://doi.org/10.1108/ITSE-01-2018-0002

https://doi.org/10.1108/ITSE-01-2018-0002

Ramayah, T. ., Cheah, J. ., Chuah, F. ., Ting, H. ., & Ali, M. (2018). Partial Least Squares Structural Equation Modeling (PLS-SEM) using SmartPLS 3.0 (2nd ed.). Pearson Malaysia Sdn. Bhd.

Safari, K., Bisimwa, A., & Buzera Armel, M. (2020). Attitudes and intentions toward internet banking in an under developed financial sector. PSU Research Review, ahead-of-p(ahead-of-print). https://doi.org/10.1108/prr-03-2020-0009

https://doi.org/10.1108/PRR-03-2020-0009

Saha, P., & Kiran, K. B. (2022). What insisted baby boomers adopt unified payment interface as a payment mechanism ?: an exploration of drivers of behavioral intention. Journal of Advances in Management Research, 19(5), 792-809. https://doi.org/10.1108/JAMR-01-2022-0022

https://doi.org/10.1108/JAMR-01-2022-0022

Sarker, P., Hughes, D. L., & Dwivedi, Y. K. (2020). Extension of META-UTAUT for Examining Consumer Adoption of Social Commerce: Towards a Conceptual Model. May, 122-129. https://doi.org/10.1007/978-3-030-47595-6_16

https://doi.org/10.1007/978-3-030-47595-6_16

Sayuti, K. M., & Amin, H. (2020). Integrating the effects of price fairness and Islamic altruism with the TPB model: The case of Islamic mortgage adoption. International Journal of Housing Markets and Analysis, 13(5), 791-807. https://doi.org/10.1108/IJHMA-07-2019-0077

https://doi.org/10.1108/IJHMA-07-2019-0077

Sayuti, K. M., & Amin, H. (2022). Islamic mortgage adoption: examining the moderating effects of Islamic altruism. Journal of Islamic Marketing, 13(8), 1728-1750. https://doi.org/10.1108/JIMA-11-2018-0219

https://doi.org/10.1108/JIMA-11-2018-0219

Schaupp, L. C., Festa, M., Knotts, K. G., & Vitullo, E. A. (2022). Regulation as a pathway to individual adoption of cryptocurrency. Digital Policy , Regulation and Governance, 24(2), 199-219. https://doi.org/10.1108/DPRG-08-2021-0101

https://doi.org/10.1108/DPRG-08-2021-0101

Seiler, V., & Fanenbruck, K. M. (2021). Acceptance of digital investment solutions: The case of robo advisory in Germany. Research in International Business and Finance, 58(October 2020), 101490. https://doi.org/10.1016/j.ribaf.2021.101490

https://doi.org/10.1016/j.ribaf.2021.101490

Senyo, P. K., & Osabutey, E. L. C. (2020). Unearthing antecedents to financial inclusion through FinTech innovations. Technovation, 98(June 2019), 102155. https://doi.org/10.1016/j.technovation.2020.102155

https://doi.org/10.1016/j.technovation.2020.102155

Seraj, Z. (2024, January 11). Ipsos study: Use of cashless payment methods in Malaysia dipped right after peak of Covid-19 pandemic. Malaymail. https://www.malaymail.com/news/malaysia/2024/01/11/ipsos-study-use-of-cashless-payment-methods-in-malaysia-dipped-right-after-peak-of-covid-19-pandemic/111903

Shaikh, I. M., & Amin, H. (2023). Consumers ' innovativeness and acceptance towards use of fi nancial technology in Pakistan : extension of the UTAUT model. Information Discovery and Delivery, January. https://doi.org/10.1108/IDD-08-2022-0080

https://doi.org/10.1108/IDD-08-2022-0080

Shaikh, I. M., Qureshi, M. A., Noordin, K., Shaikh, J. M., Khan, A., & Shahbaz, M. S. (2020). Acceptance of Islamic financial technology (FinTech) banking services by Malaysian users: an extension of technology acceptance model. Foresight, 22(3), 367-383.

https://doi.org/10.1108/FS-12-2019-0105

https://doi.org/10.1108/FS-12-2019-0105

https://doi.org/10.1108/FS-12-2019-0105

Sharma, R., Singh, G., & Sharma, S. (2020). International Journal of Information Management Modelling internet banking adoption in Fiji : A developing country perspective. International Journal of Information Management, 53(March), 102116. https://doi.org/10.1016/j.ijinfomgt.2020.102116

https://doi.org/10.1016/j.ijinfomgt.2020.102116

Shiau, W. L., Yuan, Y., Pu, X., Ray, S., & Chen, C. C. (2020). Understanding fintech continuance: perspectives from self-efficacy and ECT-IS theories. Industrial Management and Data Systems, 120(9), 1659-1689. https://doi.org/10.1108/IMDS-02-2020-0069

https://doi.org/10.1108/IMDS-02-2020-0069

Shmueli, G., Sarstedt, M., Hair, J. F., Cheah, J. H., Ting, H., Vaithilingam, S., & Ringle, C. M. (2019). Predictive model assessment in PLS-SEM: guidelines for using PLSpredict. European Journal of Marketing, 53(11), 2322-2347. https://doi.org/10.1108/EJM-02-2019-0189

https://doi.org/10.1108/EJM-02-2019-0189

Singh, N., & Sinha, N. (2020). How perceived trust mediates merchant's intention to use a mobile wallet technology. Journal of Retailing and Consumer Services, 52(March 2019). https://doi.org/10.1016/j.jretconser.2019.101894

https://doi.org/10.1016/j.jretconser.2019.101894

Singh, Nidhi, Sinha, N., & Liébana-Cabanillas, F. J. (2020). Determining factors in the adoption and recommendation of mobile wallet services in India: Analysis of the effect of innovativeness, stress to use and social influence. International Journal of Information Management, 50(April 2019), 191-205. https://doi.org/10.1016/j.ijinfomgt.2019.05.022

https://doi.org/10.1016/j.ijinfomgt.2019.05.022

Sivathanu, B. (2018). Adoption of internet of things (IOT) based wearables for healthcare of older adults - a behavioural reasoning theory (BRT) approach. Journal of Enabling Technologies, 12(4), 169-185. https://doi.org/10.1108/JET-12-2017-0048

https://doi.org/10.1108/JET-12-2017-0048

Siyal, A. W., Ding, D., & Siyal, S. (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

https://doi.org/10.1108/DTA-04-2018-0022

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

https://doi.org/10.1108/JAMR-09-2018-0086

Sohn, K., & Kwon, O. (2020). Telematics and Informatics Technology acceptance theories and factors in fl uencing arti fi cial Intelligence-based intelligent products. 47(July 2019), 1-14.

https://doi.org/10.1016/j.tele.2019.101324

Srivastava, S., Mohta, A., & Shunmugasundaram, V. (2023). Adoption of digital payment FinTech service by Gen Y and Gen Z users : evidence from India. https://doi.org/10.1108/DPRG-07-2023-0110

https://doi.org/10.1108/DPRG-07-2023-0110

Statista. (2024). Digital Payments - Worldwide. https://www.statista.com/outlook/dmo/fintech/digital-payments/worldwide

Suzianti, A., Haqqi, F. R., & Fathia, S. N. (2021). Strategic recommendations for financial technology service development: a comprehensive risk-benefit IPA-Kano analysis. Journal of Modelling in Management, ahead-of-p(ahead-of-print). https://doi.org/10.1108/jm2-11-2020-0297

https://doi.org/10.1108/JM2-11-2020-0297

Tamilmani, K., Rana, N. P., & Dwivedi, Y. K. (2020). Consumer Acceptance and Use of Information Technology: A Meta-Analytic Evaluation of UTAUT2. Information Systems Frontiers. https://doi.org/10.1007/s10796-020-10007-6

https://doi.org/10.1007/s10796-020-10007-6

Taylor, S., & Todd, P. A. (1995). Understanding information technology usage: A test of competing models. Information Systems Research. https://doi.org/10.1287/isre.6.2.144

https://doi.org/10.1287/isre.6.2.144

Tewari, A., Mathur, S., Srivastava, S., & Gangwar, D. (2022). Examining the role of receptivity to green communication, altruism and openness to change on young consumers' intention to purchase green apparel: A multi-analytical approach. Journal of Retailing and Consumer Services, 66(June 2021). https://doi.org/10.1016/j.jretconser.2022.102938

https://doi.org/10.1016/j.jretconser.2022.102938

United Overseas Bank, PWC, & Singapore FinTech Association. (2022). FinTech in ASEAN 2022: Finance, reimagined. https://www.uobgroup.com/techecosystem/news-insights-fintech-in-asean-2022.html

Upadhyay, N., Upadhyay, S., Abed, S. S., & Dwivedi, Y. K. (2022). Consumer adoption of mobile payment services during COVID-19 : extending meta-UTAUT with perceived severity and self-efficacy. International Journal of Bank Marketing, 40(5), 960-991. https://doi.org/10.1108/IJBM-06-2021-0262

https://doi.org/10.1108/IJBM-06-2021-0262

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly, 27(3), 425-478. https://doi.org/10.1201/9780849375477.ch230

https://doi.org/10.1201/9780849375477.ch230

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, 36(1), 157-178.

https://doi.org/10.2307/41410412

Verma, S., Chaurasia, S. S., & Bhattacharyya, S. S. (2020). The effect of government regulations on continuance intention of in-store proximity mobile payment services. International Journal of Bank Marketing, 38(1), 34-62. https://doi.org/10.1108/IJBM-10-2018-0279

https://doi.org/10.1108/IJBM-10-2018-0279

Vishwakarma, P., Mukherjee, S., & Datta, B. (2020). Travelers' intention to adopt virtual reality: A consumer value perspective. Journal of Destination Marketing and Management, 17(June), 100456. https://doi.org/10.1016/j.jdmm.2020.100456

https://doi.org/10.1016/j.jdmm.2020.100456

Widyanto, H. A., Kusumawardani, K. A., & Yohanes, H. (2021). Safety first: extending UTAUT to better predict mobile payment adoption by incorporating perceived security, perceived risk and trust. Journal of Science and Technology Policy Management. https://doi.org/10.1108/JSTPM-03-2020-0058

https://doi.org/10.1108/JSTPM-03-2020-0058

Wong, D., Liu, H., Meng-Lewis, Y., Sun, Y., & Zhang, Y. (2021). Gamified money: exploring the effectiveness of gamification in mobile payment adoption among the silver generation in China. In Information Technology and People. https://doi.org/10.1108/ITP-09-2019-0456

https://doi.org/10.1108/ITP-09-2019-0456

World Economic Forum. (2023). Shaping the Future of Cross-Border Fast Payment Systems: Revolutionizing Transactions in South-East Asia. https://www3.weforum.org/docs/WEF_Shaping the_Future_of_Cross-Border_Fast_Payment_Systems_2023.pdf

Xia, H., Zhang, Q., Zhang, J. Z., & Zheng, L. J. (2023). Exploring investors' willingness to use robo-advisors: mediating role of emotional response. Industrial Management and Data Systems. https://doi.org/10.1108/IMDS-07-2022-0400

https://doi.org/10.1108/IMDS-07-2022-0400

Yeh, H., Yu, M., Liu, C.-H., & Huang, C.-I. (2023). Robo-advisor based on unified theory of acceptance and use of technology. Asia Pacific Journal of Marketing and Logistics, 35(4), 962-979. https://doi.org/10.1108/APJML-07-2021-0493

https://doi.org/10.1108/APJML-07-2021-0493

Zhu, Q., Lyu, Z., Long, Y., & Wachenheim, C. J. (2021). Adoption of mobile banking in rural China: Impact of information dissemination channel. Socio-Economic Planning Sciences, December 2020, 101011. https://doi.org/10.1016/j.seps.2021.101011

https://doi.org/10.1016/j.seps.2021.101011

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Published

2025-09-01

How to Cite

Ng, H. C., Habibullah, M. S. ., & Sapar, R. . (2025). INNOVATING PAYMENTS SUSTAINABLY: A JOURNEY THROUGH RISKS, REWARDS, AND REGULATORY READINESS. International Journal of Business and Society, 26(2), 590–612. https://doi.org/10.33736/ijbs.7963.2025