PERTANIKA JOURNAL OF SCIENCE AND TECHNOLOGY

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• Agarwal, R., & Prasad, J. (1998). A conceptual and operational definition of personal innovativeness in the domain of information technology. Information Systems Research, 9(2), 204-215. https://doi.org/10.1287/isre.9.2.204

• Alalwan, A. A., Dwivedi, Y. K., Rana, N. P., & Williams, M. D. (2016). Consumer adoption of mobile banking in Jordan: Examining the role of usefulness, ease of use, perceived risk and self-efficacy. Journal of Enterprise Information Management, 29(1), 118-139. https://doi.org/10.1108/JEIM-04-2015-0035

• Al-Jabri, I. M., & Sohail, M. S. (2012). Mobile banking adoption: Application of diffusion of innovation theory. Journal of Electronic Commerce Research, 13(4), 379-391.

• Arvidsson, N. (2014). Consumer attitudes on mobile payment services – Results from a proof of concept test. International Journal of Bank Marketing, 32(2), 150-170. https://doi.org/10.1108/IJBM-05-2013-0048

• Axsen, J., TyreeHageman, J., & Lentz, A. (2012). Lifestyle practices and pro-environmental technology. Ecological Economics, 82, 64-74. https://doi.org/10.1016/j.ecolecon.2012.07.013

• Bailey, A. A., Pentina, I., Mishra, A. S., & Mimoun, M. S. B. (2017). Mobile payments adoption by US consumers: An extended TAM. International Journal of Retail & Distribution Management, 45(6), 626-640. https://doi.org/10.1108/IJRDM-08-2016-0144

• Bandura, A. (1997). Self-efficacy: The exercise of control. Macmillan.

• Bank Negara Malaysia. (2019). Payment systems. http://www.bnm.gov.my/index.php?ch=ps&pg=ps_mep_drv_toward&ac=193&lang=en

• Cheng, Y. M. (2015). Towards an understanding of the factors affecting m-learning acceptance: Roles of technological characteristics and compatibility. Asia Pacific Management Review, 20(3), 109-119. https://doi.org/10.1016/j.apmrv.2014.12.011

• Chi, T. (2018). Understanding Chinese consumer adoption of apparel mobile commerce: An extended TAM approach. Journal of Retailing and Consumer Services, 44, 274-284. https://doi.org/10.1016/j.jretconser.2018.07.019

• Coursaris, C., & Hassanein, K. (2002). Understanding m-commerce: A consumer-centric model. Quarterly Journal of Electronic Commerce, 3, 247-272.

• Coursaris, C. K., & Van Osch, W. (2015). Lifestyle-technology fit: Theorizing the role of self-identity in IS research. Computers in Human Behavior, 49, 460-476. https://doi.org/10.1016/j.chb.2015.02.049

• Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340. https://doi.org/10.2307/249008

• Davis, F. D. (1993). User acceptance of information technology: System characteristics, user perceptions and behavioral impacts. International Journal of Man-machine Studies, 38(3), 475-487. https://doi.org/10.1006/imms.1993.1022

• Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982-1003.

• Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50. https://doi.org/10.1177/002224378101800104

• Garrett, J. L., Rodermund, R., Anderson, N., Berkowitz, S., & Robb, C. A. (2014). Adoption of mobile payment technology by consumers. Family and Consumer Sciences Research Journal, 42(4), 358-368.

• Gefen, D., Straub, D., & Boudreau, M. C. (2000). Structural equation modeling and regression: Guidelines for research practice. Communications of the Association for Information Systems, 4, 7. https://doi.org/10.17705/1CAIS.00407

• Gu, D., Khan, S., Khan, I. U., & Khan, S. U. (2019). Understanding mobile tourism shopping in Pakistan: An integrating framework of Innovation Diffusion Theory and Technology Acceptance Model. Mobile Information Systems, 2019, 1490617. https://doi.org/10.1155/2019/1490617

• Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (1998). Multivariate data analysis. Prentice Hall International.

• Hair, J. F., Hauff, S., Hult, G. T., Richter, N. F., Ringle, C. M., & Sarstedt, M. (2017). A primer on Partial Least Squares Structural Equation Modelling (PLS-SEM) (2nd ed.). Sage Publication Inc.

• Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2014). A primer on partial least squares structural equation model (PLS-SEM). Sage Publication Inc.

• Hair, J. F., Ringle, C. M., & Sarstedt, M. (2013). Partial least squares structural equation modeling: Rigorous applications, better results and higher acceptance. Long Range Planning, 46(1-2), 1-12.

• Henseler, J., Dijkstra, T. K., Sarstedt, M., Ringle, C. M., Diamantopoulos, A., Straub, D. W., Ketchen, D. J., Hair, J. F., Hult, G. T. M., & Calantone, R. J. (2014). Common beliefs and reality about Partial Least Squares: Comments on Ronkko & Envermann (2013). Organizational Research Methods, 17(2), 182-209. https://doi.org/10.1177/1094428114526928

• Hoofnagle, C. J., Urban, J. M., & Li, S. (2012). Mobile payments: Consumer benefits & new privacy concerns. SSRN. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2045580

• Humbani, M., & Wiese, M. (2018). A cashless society for all: Determining consumers’ readiness to adopt mobile payment services. Journal of African Business, 19(3), 409-429. https://doi.org/10.1080/15228916.2017.1396792

• Isaac, O., Aldholay, A., Abdullah, Z., & Ramayah, T. (2019). Online learning usage within Yemeni higher education: The role of compatibility and task-technology fit as mediating variables in the IS success model. Computers & Education, 136, 113-129. https://doi.org/10.1016/j.compedu.2019.02.012

• Jahmani, K., Fadiya, S. O., Abubakar, A. M., & Elrehail, H. (2018). Knowledge content quality, perceived usefulness, KMS use for sharing and retrieval: A flock leadership application. VINE Journal of Information and Knowledge Management Systems, 48(4), 470-490. https://doi.org/10.1108/VJIKMS-08-2017-0054

• Jaradat, M. I. R. M., & Mashaqba, A. M. A. (2014). Understanding the adoption and usage of mobile payment services by using TAM3. International Journal of Business Information Systems, 16(3), 271-296. https://doi.org/10.1504/ijbis.2014.063768.

• Kabra, G., Ramesh, A., Akhtar, P., & Dash, M. K. (2017). Understanding behavioural intention to use information technology: Insights from humanitarian practitioners. Telematics and Informatics, 34(7), 1250-1261. https://doi.org/10.1016/j.tele.2017.05.010

• Kadar, H. H. B., Sameon, S. S. B., Din, M. B. M., & Rafee, P. B. A. (2019). Malaysia towards cashless society. In M. Othman, M. Abd Aziz, M. Md Saat, & M. Misran (Eds.), Proceedings of the 3rd International Symposium of Information and Internet Technology (SYMINTECH 2018) (pp. 34-42). Springer, Cham. https://doi.org/10.1007/978-3-030-20717-5_5

• Kim, C., Mirusmonov, M., & Lee, I. (2010). An empirical examination of factors influencing the intention to use mobile payment. Computers in Human Behavior, 26(3), 310-322. https://doi.org/10.1016/j.chb.2009.10.013

• Kim, H.-Y., Lee, J. Y., Mun, J. M., & Johnson, K. K. P. (2017). Consumer adoption of smart in-store technology: Assessing the predictive value of attitude versus beliefs in the technology acceptance model. International Journal of Fashion Design, Technology and Education, 10(1), 26-36. https://doi.org/10.1080/17543266.2016.1177737

• Kim, S., & Baek, T. H. (2018). Examining the antecedents and consequences of mobile app engagement. Telematics and Informatics, 35(1), 148-158. https://doi.org/10.1016/j.tele.2017.10.008

• Kline, R. B. (2011). Principles and practice of structural equation modelling. Guilford.

• Kock, N., & Lynn, G. S. (2012). Lateral collinearity and misleading results in variance-based SEM: An illustration and recommendation. Journal of the Association for Information Systems, 13(7), 546-580.

• Koksal, M. H. (2016). The intentions of Lebanese consumers to adopt mobile banking. International Journal of Bank Marketing, 34(3), 327-346. https://doi.org/10.1108/IJBM-03-2015-0025

• Li, H., Liu, Y., & Heikkilä, J. (2014). Understanding the factors driving NFC-enabled mobile payment adoption: An empirical investigation. PACIS 2014 Proceedings, 231. https://aisel.aisnet.org/pacis2014/231

• Lim, V. (2017, June 29). Asia: Increasing digital wallet usage amongst Malaysian consumers. RFi Group. https://www.rfigroup.com/rfi-group/news/asia-increasing-digital-wallet-usage-amongst-malaysian-consumers

• Lin, H-F. (2011). An empirical investigation of mobile banking adoption: The effect of innovation attributes and knowledge-based trust. International Journal of Information Management, 31(3), 252-260. https://doi.org/10.1016/j.ijinfomgt.2010.07.006

• Liu, Y., Hong, Z., Zhu, J., Yan, J., Qi, J., & Liu, P. (2018). Promoting green residential buildings: Residents’ environmental attitude, subjective knowledge, and social trust matter. Energy Policy, 112, 152-161. https://doi.org/10.1016/j.enpol.2017.10.020

• Lunneborg, P. W. (1979). The vocational interest inventory: Development and validation. Educational and Psychological Measurement, 39(2), 445-451. https://doi.org/10.1177/001316447903900226

• 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

• Martens, M., Roll, O., & Elliott, R. (2017). Testing the technology readiness and acceptance model for mobile payments across Germany and South Africa. International Journal of Innovation and Technology Management, 14(6), 1750033. https://doi.org/10.1142/S021987701750033X

• Malaysian Communications and Multimedia Commission. (2017). Handphone users survey 2017. https://www.mcmc.gov.my/resources/statistics/hand-phone-surveys

• Moslehpour, M., Pham, V., Wong, W-K., & Bilgiçli, I. (2018). E-Purchase intention of Taiwanese consumers: Sustainable mediation of perceived usefulness and perceived ease of use. Sustainability, 10(1), 234. https://doi.org/10.3390/su10010234

• Nascimento, J. C. H. P. D., & Macedo, M. A. D. S. (2016). Modelagem de Equações Estruturais com Mínimos Quadrados Parciais: Um exemplo daaplicação do SmartPLS® em pesquisas em contabilidade [Structural Equation Models using Partial Least Squares: An example of the application of SmartPLS® in accounting research]. Journal of Education and Research in Accounting, 10(3), 282-305. http://dx.doi.org/10.17524/repec.v10i3.1376

• Nielsen. (2019, January 3). Cash or cashless? Malaysia’s shifting payment landscape. Nielsen. https://www.nielsen.com/my/en/insights/article/2019/cash-or-cashless-malaysias-shifting-payment-landscape/

• Nuryyev, G., Wang, Y-P., Achyldurdyyeva, J., Jaw, B-S., Yeh, Y-S., Lin, H-T., & Wu, L-F. (2020). Blockchain technology adoption behavior and sustainability of the business in tourism and hospitality SMEs: An empirical study. Sustainability, 12(3), 1256. https://doi.org/10.3390/su12031256

• Obe, O. O., & Balogun, V. F. (2007). Practice, trends and challenges of mobile commerce in Nigeria. Information Technology Journal, 6(3), 448-456. https://doi.org/ 10.3923/itj.2007.448.456

• Ondrus, J., Lyytinen, K., & Pigneur, Y. (2009). Why mobile payments fail? Towards a dynamic and multi-perspective explanation. 2009 42nd Hawaii International Conference on System Sciences, 1-10. https://doi.org/10.1109/hicss.2009.510

• Ozturk, A. B., Bilgihan, A., Nusair, K., & Okumus, F. (2016). What keeps the mobile hotel booking users loyal? Investigating the roles of self-efficacy, compatibility, perceived ease of use, and perceived convenience. International Journal of Information Management, 36(6), 1350-1359. https://doi.org/10.1016/j.ijinfomgt.2016.04.005

• 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

• Pham, T. T. T., & Ho, J. C. (2015). The effects of product-related, personal-related factors and attractiveness of alternatives on consumer adoption of NFC-based mobile payments. Technology in Society, 43, 159-172. https://doi.org/10.1016/j.procs.2015.10.002

• Pikri, E. (2018, July 20). How many e-wallets is too many wallets in Malaysia? Fintech Malaysia. https://fintechnews.my/17900/payments-remittance-malaysia/e-wallets-digital-payment-malaysia-saturated/

• Ramos-de-Luna, I., Montoro-Ríos, F., & Liébana-Cabanillas, F. (2016). Determinants of the intention to use NFC technology as a payment system: An acceptance model approach. Information Systems and e-Business Management, 14(2), 293-314. https://doi.org/10.1007/s10257-015-0284-5

• Ringle, C., & Sarstedt, M. (2016). Gain more insight from your PLS-SEM results: The importance-performance map analysis. Industrial Management & Data Systems, 116(9), 1865-1886. https://doi.org/10.1108/IMDS-10-2015-0449

• Rashed, A., Santos, H., & Aleryani, A. Y. (2014). Determinants of behavioral intention to mobile banking: Case from Yemen. MMEDIA 2013: The Fifth International Conferences on Advances in Multimedia, 96-99.

• Rogers, E. M. (1995). Diffusion of innovations. Free Press.

• Rondan-Cataluña, F. J., Arenas-Gaitán, J., & Ramírez-Correa, P. E. (2015). A comparison of the different versions of popular technology acceptance models: A non-linear perspective. Kybernetes, 44(5), 788-805. https://doi.org/10.1108/K-09-2014-0184

• Sen, A. (2019, February 11). Malaysia’s overpopulated e-wallet landscape: Deep pockets not enough. The Low Down. https://thelowdown.momentum.asia/malaysias-overpopulated-e-wallet-landscape-deep-pockets-not-enough/

• Shaw, N. (2015). The mediating role of perceived security: An empirical study of mobile wallet adoption in USA. In International Conference on HCI in Business (pp. 358-369). Springer, Cham.

• Shin, D. H. (2010). Modeling the interaction of users and mobile payment system: Conceptual framework. International Journal of Human Computer Interaction, 26(10), 917-940.

• 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, 101894. https://doi.org/10.1016/j.jretconser.2019.101894

• Sorensen, E. (2018, May 31). Different types of mobile payments explained. Mobile Transaction. https://www.mobiletransaction.org/different-types-of-mobile-payments/

• Surendran, P. (2012). Technology acceptance model: A survey of literature. International Journal of Business and Social Research, 2(4), 175-178. https://doi.org/10.18533/ijbsr.v2i4.161

• Taherdoost, H. (2018). A review of technology acceptance and adoption models and theories. Procedia Manufacturing, 22, 960-967. https://doi.org/10.1016/j.promfg.2018.03.137

• Tan, J. (2018, September 4). Malaysia and Singapore among Top 10 Alipay overseas spending markets. Marketing-Interactive. https://www.marketing-interactive.com/malaysia-and-singapore-among-top-10-alipay-overseas-spending-markets/

• 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. https://doi.org/10.1287/isre.11.4.342.11872

• Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186-204. https://doi.org/10.1287/mnsc.46.2.186.11926

• 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/10.2307/30036540

• Wang, G., Putri, N. M., Christianto, A., & Hutama, D. (2019). An empirical examination of characteristics of mobile payment users in Indonesia. Journal of Theoretical and Applied Information Technology, 97(1), 169-182.

• Wang, Z., & Dong, X. (2016). Determinants and policy implications of residents’ new energy vehicle purchases: The evidence from China. Natural Hazards, 82(1), 155-173. https://doi.org/10.1007/s11069-016-2185-4

• Yan, H., & Yang, Z. (2015). Examining mobile payment user adoption from the perspective of trust. International Journal of u- and e-Service, Science and Technology, 8(1), 117-130.

• Yang, S., Lu, Y., Gupta, S., Cao, Y., & Zhang, R. (2012). Mobile payment services adoption across time: An empirical study of the effects of behavioral beliefs, social influences, and personal traits. Computers in Human Behavior, 28(1), 129-142. https://doi.org/10.1016/j.chb.2011.08.019

• Zainab, B., Bhatti, M. A., & Alshagawi, M. (2017). Factors affecting e-training adoption: An examination of perceived cost, computer self-efficacy and the technology acceptance model. Behaviour & Information Technology, 36(12), 1261-1273. https://doi.org/10.1080/0144929X.2017.1380703