Vanitamalar Perumal, Shariffah Haszeqah Bt S. Jainal Abdibin, Mohanantass Permal, Kumaran Kanapathipillai


The rapid growth of mobile shopping and the increasing use of smartphones and tablets for e-commerce transactions make understanding consumer acceptance crucial for businesses and app developers. This study investigates the factors influencing mobile technology acceptance among millennials in Malaysia, focusing on security, perceived ease of use, perceived usefulness, and the cost of operations. This research highlights the importance of addressing these dimensions for businesses and application developers to maintain millennials' interest in mobile technologies and remain competitive. A sample size of 384 millennial participants, selected using purposive sampling, contributed to the analysis of this study, which was collected using self-administered questionnaires. The data were analysed using SPSS version 28. The findings reveal that security and perceived usefulness significantly influence millennials' engagement with mobile technology. However, two dimensions, the perceived ease of use and the perceived cost of operations do not significantly impact mobile technology adoption. Therefore, this study offers valuable insights for organisations to develop effective mobile technology strategies and enhance millennial consumers' engagement with mobile technologies.


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Aboelmaged, M., & Gebba, T. R. (2013). Mobile Banking Adoption: An Examination of Technology Acceptance Model and Theory of Planned Behavior. International Journal of Business Research and Development, 2(1).

Afshan, S., & Sharif, A. (2016). Acceptance of mobile banking framework in Pakistan. Telematics and Informatics, 33(2), 370–387.

Akhlaq, A., & Ahmed, E. (2013). The effect of motivation on trust in the acceptance of internet banking in a low-income country. International Journal of Bank Marketing, 31(2), 115–125.

Akram, U., Fülöp, M. T., Tiron-Tudor, A., Topor, D. I., & Căpușneanu, S. (2021). Impact of Digitalization on Customers’ Well-Being in the Pandemic Period: Challenges and Opportunities for the Retail Industry. International Journal of Environmental Research and Public Health, 18(14), 7533. ncbi.

Al-Gahtani, S. S. (2016). An empirical investigation of the acceptance of mobile learning in Saudi Arabia. Journal of King Saud University-Computer and Information Sciences, 28(4), 427-435.

Al-Gahtani, S. S. (2016). Modeling the determinants of mobile learning adoption in higher education. Journal of Computing in Higher Education, 28(1), 148-167.

Al-Harbi, N., & Al-Shehri, A. (2018). The effect of perceived security on mobile payment acceptance. Journal of Theoretical and Applied Electronic Commerce Research, 13(1), 81-95.

Al-Somali, S. A., Gholami, R., & Clegg, B. (2009). An investigation into the acceptance and use of electronic banking in Saudi Arabia. Journal of Systems and Information Technology, 11(2), 197-221.

Aladwani, A. M. (2003). Key Internet characteristics and e‐commerce issues in Arab countries. Information Technology & People, 16(1), 9-20.

Alalwan, A. A., Baabdullah, A. M., R (2018). Investigating the factors influencing continuance intention to e-government services: Empirical evidence from Saudi Arabia. International Journal of Information Management, 39, 80-96.

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.

Alkafagi, A. A., Salameh, A. A., & Abu AlSondos, I. A. (2019). The Importance of Individual Technology Factors for Adoption of Internet Banking. European Journal of Business and Management, 11(36).

Altounjy, R., Alaeddin, O., Hussain, H. I., & Kot, S. (2020). Moving from Bricks to Clicks: Merchants’ Acceptance of the Mobile Payment in Malaysia. International Journal of EBusiness and EGovernment Studies, 12(2), 136–150.

Amin, H., Abdul Hamid, M. R., 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), 69–86.

Arora, N. and Aggarwal, A. (2018). The role of perceived benefits in formation of online shopping attitude among women shoppers in India. South Asian Journal of Business Studies, 7(1), 91-110.

Asenahabi, B. M. (2019). Basics of Research Design: A Guide to selecting appropriate research design. International Journal of Contemporary Applied Research, 6(5), 76–89.

Bailey, A. A., Pentina, I., Mishra, A. S., & Ben Mimoun, M. S. (2017). Mobile payments adoption by US consumers: an extended TAM. International Journal of Retail & Distribution Management, 45(6), 626–640.

Balasubraman, S., Peterson, R. A., & Jarvenpaa, S. L. (2002). Exploring the Implications of M-Commerce for Markets and Marketing. Journal of the Academy of Marketing Science, 30(4), 348–361.

Banerjee, Syagnik (Sy) and Dholakia, Ruby Roy, Mobile Advertising: Does Location-Based Advertising Work? (2008). International Journal of Mobile Marketing, December 2008, Available at SSRN:

Barnes, S. J. (2002). The mobile commerce value chain: analysis and future developments. International Journal of Information Management, 22(2), 91–108.

Benedict Leong (2020). COVID-19’s impact on Malaysia’s ecommerce market.

Bhalla, M. (2016). 7 reasons why customers are abandoning your mobile shopping cart. Ventureburn.

Bryman, A., & Bell, E. (2015). Business research methods (4th ed.). Oxford University Press.

Burton-Jones, A., & Hubona, G. S. (2006). The mediation of external variables in the technology acceptance model. Information & Management, 43(6), 706–717.

Butcher, K., Sparks, B. and O’Callaghan, F. (2001). Evaluative and relational influences on service loyalty. International Journal of Service Industry Management, 12(4), 310-327.

Chen, Y.-C., Wu, J.-H., & Chang, H.-Y. (2016). Users' perceptions of e-learning services: Psychological dimensions, perceived quality and behavioural intention. Behaviour & Information Technology, 35(12), 1164-1174.

Chinna, K. & Yuen, C. W. (2015). Statistical Analysis Using SPSS. (2nd ed.). Pearson Malaysia.

Chiu, C.-M., Huang, H.-Y., Chen, K.-J., & Lin, T.-C. (2014). What drives purchase intention for paid mobile apps? An expectation confirmation model with perceived value. Electronic Commerce Research and Applications, 13(6), 402-412.

Cho, Y., & Cheon, J. (2005). Why do people avoid advertising on mobile devices?: Antecedents of mobile advertising avoidance. Journal of Interactive Advertising, 6(2), 41-51.

Chong, A. Y. L. (2013). Predicting m-commerce adoption determinants: A neural network approach. Expert systems with applications, 40(2), 523-530.

Chong, A. Y.-L., & Chan, F. T.-S. (2012). Mobile commerce acceptance factors in the People's Republic of China: A structural equation model. Journal of Electronic Commerce Research, 13(1), 51-78.

Chopdar, P. Kr., Korfiatis, N., Sivakumar, V. J., & Lytras, M. D. (2018). Mobile shopping apps adoption and perceived risks: A cross-country perspective utilizing the Unified Theory of Acceptance and Use of Technology. Computers in Human Behavior, 86, 109–128.

Cyr, D., Head, M., Larios, H., & Pan, B. (2009). Exploring human images in website design: A multi-method approach. MIS quarterly, 539-566.

D. Davis, F. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), p.319-340.

Dahlberg, T., Mallat, N., Ondrus, J., & Zmijewska, A. (2008). Past, present and future of mobile payments research: A literature review. Electronic commerce research and applications, 7(2), 165-181.

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.

de Sena Abrahão, R., Moriguchi, S. N., & Andrade, D. F. (2016). Intention of adoption of mobile payment: An analysis in the light of the Unified Theory of Acceptance and Use of Technology (UTAUT). RAI Revista de Administração e Inovação, 13(3), 221-230.

Delafrooz, N., Hj. Paim, L., & Khatibi, A. (2010). Students’ Online Shopping Behavior: An Empirical Study. Journal of American Science, 6(1).

Department of Statistics Malaysia. (2022). Current population estimates Malaysia 2022. Retrieved from

Dillon, A., & Morris, M. G. (1996). User acceptance of new information technology: theories and models 1996, 14(4): 3-32.

Dumelle, M., Higham, M., Ver Hoef, J. M., Olsen, A. R., & Madsen, L. (2022). A comparison of design‐based and model‐based approaches for finite population spatial sampling and inference. Methods in Ecology and Evolution, 13(9), 2018–2029.

Edwin, A. G. W. U. (2015). Analysis of obstacles to uptake of internet banking services in Nigeria. Research Journal of Business and Management, 2(1), 99-114.

eMarketer. (2016). Mobile Commerce Round Up.

Fernandes, C. & Awamleh, R. (2006). Diffusion of internet banking amongst educated consumers in a high-income non-OECD country. Journal of Internet Banking and Commerce, 11(3), 1-17.

Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research. Philosophy & Rhetoric, 130-132.

Fitriansyah, A., & Harris, I. (2018). Pengukuran Kepuasan Pengguna Situs Web Dengan Metode End User Computing Satisfaction (EUCS). Journal of Information Systems, 2(1).

Flavián, C. and Guinalíu, M. (2006). Consumer trust, perceived security and privacy policy: Three basic elements of loyalty to a web site. Industrial Management & Data Systems, 106(5), 601-620.

Fong, K. K.-K., & Wong, S. K. S. (2015). Factors Influencing the Behavior Intention of Mobile Commerce Service Users: An Exploratory Study in Hong Kong. International Journal of Business and Management, 10(7).

Gandhi, S. K. (2016). India’s Jumbo Jump from E-Commerce to Mobile Enabled Services (MES): A Review. Productivity, 56(4), 326–331.

Gao, L., & Bai, X. (2014). A unified perspective on the factors influencing consumer acceptance of internet of things technology. Asia Pacific Journal of Marketing and Logistics, 26(2), 211–231.

George, D. & Mallery, P., 2003. SPSS for Windows Step by Step: A Simple Guide and Reference. 11.0 Update. 4th ed. Boston: Allyn & Bacon.

Gokilavani, R., Kumar, D. V., Durgarani, M., & Mahalakshmi, R. (2018). Can India Move Towards Digital Sovereign Currency? A Study on Perception of Consumers Towards. International Journal of Pure and Applied Mathematics, 119(17), 2167–2175.

Gravetter, F. & Wallnau, L. (2014). Essentials of Statistics for the Behavioural Sciences. (8th ed.), Belmont, CA: Wadsworth.

Guo, X., Huang, L., & Zhou, J. (2018). An empirical study of factors influencing users' adoption of mobile payment services in China. Telematics and Informatics, 35(6), 1646-1657.

Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate data analysis (8th ed.). Cengage Learning.

Hanafizadeh, P., Asadi, J., & Khedmatgozar, H. R. (2012). Decisive Factors in Adoption of Internet Banking (Case Study: Eghtesad Novin Bank). Sharif Journal of Industrial Engineering & Management, (1), 87-98.

Harris, I. (2019). Kehebatan Situs Belanja Daring dalam Mempengaruhi Emosi dan Kepercayaan Pembeli. JMD: Jurnal Riset Manajemen & Bisnis Dewantara, 2(2), 81–88.

Hassan, D., & Ali, S. (2012). Exploring E-commerce Activity in Malaysia: Challenges and opportunities. Journal of Economics and Sustainable Development., 3(10).

Hassan, M. A., & Shukur, Z. (2019, September). Review of digital wallet requirements. In 2019 International Conference on Cybersecurity (ICoCSec) 43-48. IEEE.

Hayashi, F., & Bradford, T. (2014). Mobile Payments: Merchants’ Perspectives. Economic Review, Q(2), 33–58.

Hillman, S., & Carman, N. (2017). Trust and mobile commerce in North America. Computers in Human Behavior 70(2017): 10-21.

Hoffman, D. L., Novak, T. P., & Peralta, M. (1999). Building consumer trust online. Communications of the ACM, 42(4), 80-85.

Holdings, N. (2014). Malaysians rank among the world’s most avid online shoppers. The Nielsen Global Survey of E-Commerce.

Hu, P. J., Chau, P. Y. K., Sheng, O. R. L., & Tam, K. Y. (1999). Examining the Technology Acceptance Model Using Physician Acceptance of Telemedicine Technology. Journal of Management Information Systems, 16(2), 91–112.

Hung, M. (2018). An examination of the determinants of mobile shopping. International Journal of Electronic Business Management, 10(1), 29–37.

Hung, M. C., Yang, S. T., & Hsieh, T. C. (2012). An examination of the determinants of mobile shopping continuance. International journal of electronic business management, 10(1), 29.

Jocevski, M., Ghezzi, A., & Arvidsson, N. (2020). Exploring The Growth Challenge Of mobile Payment Platforms: A business Model Perspective. Electronic Commerce Research and Applications, 40(March–April), 100908.

Kanapathipillai, K. (2020). The impact of the silent enemy (Covid-19 pandemic) on the marketing efforts undertaken by the automotive industries in Malaysia. European Journal of Management and Marketing Studies, 5(4). DOI:

Kanapathipillai, K., & Kumaran, S. (2022). The mediating effect of relationship marketing strategy between digital marketing strategy and consumers’ purchase decisions in the automotive industry in Malaysia. European Journal of Management and Marketing Studies, 7(2), 1-27. DOI:

Kanapathipillai, K., & Mahbob, N. N. (2021). The impact of relationship marketing on customer loyalty in the tour and travel companies in Malaysia during CoV-19 pandemic: Parallel mediation of social media and relationship quality. European Journal of Management and Marketing Studies, 6(4), 1- 30. DOI:

Kassim, N. M., & Ramayah, T. (2015). Perceived Risk Factors Influence on Intention to Continue Using Internet Banking among Malaysians. Global Business Review, 16(3), 393–414.

Kassim, N. M., Mohamad, W. N., & Talib, Z. M. (2021). Mobile shopping acceptance among millennials in Malaysia Public University. Electronic Journal of Business and Management, 6(1), 1-19.

Khoo, D. (2021). Driving Digital Transformation: Lessons from Building the First ASEAN Digital Bank. Marshall Cavendish International Asia Pte Ltd.

Kim, H. W., & Park, S. Y. (2017). An investigation of mobile device security and user acceptance of mobile payment. Industrial Management & Data Systems, 117(2), 327-342.

Kim, Y. H., Kim, D. J., & Wachter, K. (2013). A study of mobile user engagement (MoEN): Engagement motivations, perceived value, satisfaction, and continued engagement intention. Decision support systems, 56, 361-370.

King, W. R., & He, J. (2006). A meta-analysis of the technology acceptance model. Information & management, 43(6), 740-755.

Ko, E., Kim, E. Y., & Lee, E. K. (2009). Modeling consumer adoption of mobile shopping for fashion products in Korea. Psychology and Marketing, 26(7), 669–687.

Krejcie, R., & Morgan, D. W. (1970). Determining sample size for research activities. Educational and Psychological Measurement, 30(3), 607–610.

Kristina, N., Venny, V., & Vironika, V. (2019). Entrepreneurial Factors and Work Environment Factors for Millennial Women’s Performance. MBIA, 18(2), 134–140.

Kshetri, N. (2013). Cybercrime and cyber-security issues associated with China: some economic and institutional considerations. Electronic Commerce Research, 13, 41-69.

Kumar, R., Sachan, A., & Kumar, R. (2020). The impact of service delivery system process and moderating effect of perceived value in internet banking adoption. Australasian Journal of Information Systems, 24.

Kuo, Y.-F., Wu, C.-M., & Deng, W.-J. (2009). The relationships among service quality, perceived value, customer satisfaction, and post-purchase intention in mobile value-added services. Computers in Human Behavior, 25(4), 887-896.

Kyriazos, T. A. (2018). Applied Psychometrics: Sample Size and Sample Power Considerations in Factor Analysis (EFA, CFA) and SEM in General. Psychology, 09(08), 2207–2230.

Laukkanen, T., & Lauronen, J. (2005). Consumer value creation in mobile banking services. International Journal of Mobile Communications, 3(4), 325.

Lazer, David, Alex Pentland, Lada Adamic, Sinan Aral, Albert-László Barabási, Devon Brewer, Nicholas Christakis. (2009). Computational social science. Science 323(5915), 721-723.

Lee, H., Fiore, A. M., & Kim, J. (2006). The role of the technology acceptance model in explaining effects of image interactivity technology on consumer responses. International Journal of Retail & Distribution Management, 34(8), 621–644.

Lee, Y., & Kim, Y. (2010). Understanding factors affecting trust in and satisfaction with mobile banking in Korea: A modified DeLone and McLean's model perspective. Interacting with Computers, 22(4), 340-348.

Lee, Y., Kozar, K. A., & Larsen, K. R. (2003). The technology acceptance model: Past, present, and future. Communications of the Association for information systems, 12(1), 50.

Legris, P., Ingham, J., & Collerette, P. (2003). Why do people use information technology? A critical review of the technology acceptance model. Information & management, 40(3), 191-204.

Leong, B. (2020). COVID-19's impact on Malaysia's e-commerce market. Retrieved online from

Li, J., & Lin, C. (2019). Factors influencing user acceptance of healthcare mobile apps: A comparative study of user groups with different age and gender. International Journal of Medical Informatics, 125, 1-10.

Liao, S.-H., & Yang, L.-L. (2020). Mobile payment and online to offline retail business models. Journal of Retailing and Consumer Services, 57, 102230.

Lin, H. F., & Huang, S. W. (2012). Exploring the factors affecting user acceptance of mobile technology. Computers in Human Behavior, 28(6), 1834-1848.

Lin, H.-H., Wang, Y.-S., & Liang, T.-P. (2008). An examination of the determinants of customer loyalty in mobile commerce contexts. Information & Management, 45(6), 359-367.

Littler, D., & Melanthiou, D. (2006). Consumer perceptions of risk and uncertainty and the implications for behaviour towards innovative retail services: the case of internet banking. Journal of retailing and consumer services, 13(6), 431-443.

Liu, C., & Li, X. (2018). Understanding factors affecting mobile commerce adoption: A trust-based decision-making model. Information & Management, 55(1), 64-79.

Lu, J., Yao, J. E., & Yu, C. S. (2011). Personalized mobile advertising: Its key attributes, trends, and social impact. Journal of Electronic Commerce Research, 12(4), 342-361.

Lu, J., Yu, C. S., & Liu, C. (2011). Enhancing consumer initial trust in mobile payment services: An empirical study. Behaviour & Information Technology, 30(2), 181-199.

Lu, Y., Yang, S., Chau, P. Y., & Cao, Y. (2011). Dynamics between the trust transfer process and intention to use mobile payment services: A cross-environment perspective. Information & management, 48(8), 393-403.

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.

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.

Mallat, N. (2007). Exploring consumer adoption of mobile payments–A qualitative study. The Journal of Strategic Information Systems, 16(4), 413-432.

Malmqvist, J., Hellberg, K., Möllås, G., Rose, R., & Shevlin, M. (2019). Conducting the Pilot Study: A Neglected Part of the Research Process? Methodological Findings Supporting the Importance of Piloting in Qualitative Research Studies. International Journal of Qualitative Methods, 18(1), 1–11.

Mason, A. N., Narcum, J., & Mason, K. (2021). Social media marketing gains importance after Covid-19. Cogent Business & Management, 8(1), 1870797. Tandfonline.

McKechnie, S., Winklhofer, H., & Ennew, C. (2006). Applying the technology acceptance model to the online retailing of financial services. International Journal of Retail & Distribution Management, 34(4/5), 388-410.

Milberg, S. J., Smith, H. J., & Burke, S. J. (2000). Information privacy: Corporate management and national regulation. Organization Science, 11(1), 35–57.

Moon, E., & Domina, T. (2015). Willingness to use fashion mobile applications to purchase fashion products: A comparison between the United States and South Korea. Journal of Textile and Apparel, Technology and Management, 9(3).

Moon, J. W., & Kim, Y. G. (2001). Extending the TAM for a World-Wide-Web context. Information & management, 38(4), 217-230.

Moorthy, K., Chun T'ing, L., Chea Yee, K., Wen Huey, A., Joe In, L., Chyi Feng, P., & Jia Yi, T. (2020). What drives the adoption of mobile payment? A Malaysian perspective. International Journal of Finance & Economics, 25(3), 349-364.

Moorthy, K., Suet Ling, C., Weng Fatt, Y., Mun Yee, C., Ket Yin, E. C., Sin Yee, K., & Kok Wei, L. (2017). Barriers of mobile commerce adoption intention: Perceptions of Generation X in Malaysia. Journal of Theoretical and Applied Electronic Commerce Research, 12(2), 37–53.

Mossel, E., Sly, A., & Tamuz, O. (2015). Strategic learning and the topology of social networks. Econometrica Journal of The Econometric Society, 83(5), 1755-1794.

Nielsen, N. (2014). Global consumers are willing to put their money where their heart is when it comes to goods and services from companies committed to social responsibility.

Noor, R. M. (2006). A Study on the Factors that Influence the Adoption of E-commerce Among Malaysian Small and Medium Enterprises (Doctoral dissertation, Kulliyyah of Information and Communication Technology, International Islamic University Malaysia).

Normalini, M. K., Ramayah, T., & Shabbir, M. S. (2019). Investigating the impact of security factors in E-business and internet banking usage intention among Malaysians. Industrial Engineering & Management Systems, 18(3), 501-510.

Oliveira, T., Thomas, M., Baptista, G., & Campos, F. (2016). Mobile payment: Understanding the determinants of customer adoption and intention to recommend the technology. Computers in Human Behavior, 61(August 2016), 404–414.

Ondrus, J., & Pigneur, Y. (2018). Mobile payment acceptance: A state of the art. Journal of Systems and Information Technology, 20(2), 135-159.

Ong, C.-S., & Lai, J.-Y. (2006). Gender differences in perceptions and relationships among dominants of e-learning acceptance. Computers in Human Behavior, 22(5), 816–829.

Oye, N. D., Iahad, N. A., & Rahim, N. A. (2014). The history of UTAUT model and its impact on ICT acceptance and usage by academicians. Education and Information Technologies, 19, 251–270.

Palani, A., & Yasodha, P. (2012). A study on customer perception towards mobile banking in Indian overseas bank Chennai. International Journals of Marketing and Technology, 2(4), 262–276.

Parasuraman, A., Zeithaml, V. A., & Malhotra, A. (2005). ES-QUAL: A multiple-item scale for assessing electronic service quality. Journal of service research, 7(3), 213-233.

Park, E., & Kim, K. J. (2014). An integrated adoption model of mobile cloud services: exploration of key determinants and extension of technology acceptance model. Telematics and Informatics, 31(3), 376-385.

Park, S. E., Kim, H. J., Lee, K. H., & Lee, S. M. (2019). Investigating factors affecting the adoption of mobile health apps from a trust-transfer perspective. Internet Research, 29(2), 340-360.

Peng, S., Yang, A., Cao, L., Yu, S., & Xie, D. (2017). Social influence modeling using information theory in mobile social networks. Information Sciences, 379, 146-159.

Population ages 15-64 (% of total population) - Malaysia | Data. (2022).

Praveena, K., & Thomas, S. (2013). Continuance intention to use Facebook: Role of perceived enjoyment and trust. The International Journal of Business & Management, 1(6), 26–32.

Priporas, C.-V., Stylos, N., & Kamenidou, I. (Eirini). (2019). City image, city brand personality and generation Z residents’ life satisfaction under economic crisis: Predictors of city-related social media engagement. Journal of Business Research, 119(October 2020).

Ramadan, R., & Aita, J. (2018). A model of mobile payment usage among Arab consumers. International Journal of Bank Marketing, 36(7), 1213–1234.

Ramayah, T., Ma’ruf, J. J., Jantan, M., & Osman, M. (2002, October). Technology Acceptance Model: is it applicable to users and non-users of internet banking. In The proceedings of the international Seminar, Indonesia-Malaysia, the role of harmonization of Economics and business discipline in global competitiveness, Banda Aceh, Indonesia 14-15

Raviadaran, H., Dastane, D. O., Ma’arif, M. Y., & Mohd Satar, N. S. (2019). Impact of Service Quality Dimensions on Internet Banking Adoption, Satisfaction and Patronage. International Journal of Management, Accounting and Economics, 6(10).

Rehman, Z. U., Omar, S. S. B., Zabri, S. B. M., & Lohana, S. (2019). Mobile payment adoption and its determinants in Malaysia. International Journal of Innovative Technology and Exploring Engineering, 9(1), 4231-4239.

Riquelme, H. E., & Rios, R. E. (2010). The moderating effect of gender in the adoption of mobile banking. International Journal of Bank Marketing, 28(5), 328–341.

Salah Uddin, M., & Yesmin Akhi, A. (2014). E-Wallet System for Bangladesh an Electronic Payment System. International Journal of Modeling and Optimization, 4(3), 216–219.

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.

Seah, C. S., Loh, Y. X., Wong, Y. S., Jalaludin, F. W., & Loh, L. H. (2022). The Influence of COVID-19 Pandemic on Malaysian E-Commerce Landscape: The case of Shopee and Lazada. In Proceedings of the 6th International Conference on E-Commerce, E-Business and E-Government, 17-23.

Shafinah, K., Sahari, N., Sulaiman, R., Yusoff, M. S. M., & Ikram, M. M. (2013). Determinants of user behavior intention (BI) on mobile services: A preliminary view. Procedia technology, 11, 127-133.

Shaikh, A. A., & Karjaluoto, H. (2015). Mobile banking adoption: A literature review. Telematics and Informatics, 32(1), 129–142.

Shen, O. W., & Yazdanifard, R. (2015). Has mobile payment finally live up to its expectation in replacing cash and credit? International Journal of Management, Accounting and Economics, 2(5), 489–498.

Shrestha, N. (2020). Detecting multicollinearity in regression analysis. American Journal of Applied Mathematics and Statistics, 8(2), 39–42.

Shukla, A., & Sharma, S. K. (2018). Evaluating Consumers’ Adoption of Mobile Technology for Grocery Shopping: An Application of Technology Acceptance Model. Vision: The Journal of Business Perspective, 22(2), 185–198.

Silva, P. (2015). Davis' technology acceptance model (TAM)(1989). Information seeking behavior and technology adoption: Theories and trends, 205-219.

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.

Stack, L. (2018, March 1). Are You 21 to 37? You Might Be a Millennial.

Stewart, K. A., & Segars, A. H. (2002). An empirical examination of the concern for information privacy instrument. Information systems research, 13(1), 36-49.

Sufyan Habib, Nawaf N. Hamadneh (2016). Impact of Perceived Risk on Consumers Technology Acceptance in Online Grocery Adoption amid COVID-19 Pandemic. Sustainability, 13(18), 10221.

Suganthi, B., & Suganthi, B. (2001). Internet banking patronage: an empirical investigation of Malaysia. Journal of Internet Banking and commerce, 6(1).

Sulaiman, A., Yusoff, R. M., & Zain, M. (2017). Factors influencing consumers’ online buying behavior and mobile app acceptability for fashion products: A study in Malaysia. Journal of Fashion Marketing and Management: An International Journal, 21(1), 41-53.

Tan, C. F. (2012). Malaysian Consumers’ Perceptions of Online Shopping. COMM 803 Empirical Quantitative Research.

Tandon, U., Kiran, R., & Sah, A. N. (2017). Customer satisfaction as mediator between website service quality and repurchase intention: An emerging economy case. Service Science, 9(2), 106-120.

Tapscott. (1996). Six themes for new learning from: the digital economy: promise and peril in the age of networked intelligence. Educom Review, 31.

Taylor, E. (2016). Mobile payment technologies in retail: a review of potential benefits and risks. International Journal of Retail & Distribution Management, 44(2), 159–177.

Tenk, T. T., Melissa, T. T., Chin Yew, H., & Heang, L. T. (2020). E-wallet adoption. a case in Malaysia.

Teoh, C. H. & Md Nor, K. (2007). Consumer Acceptance of Mobile Banking. Journal of Technology Management Entrepreneurship, 6(1):1-17.

Teshome, Z., Belete, B., Gizaw, G., & Mengiste, M. (2020). Customer satisfaction and public service delivery: The case of Dire Dawa Administration. Public Policy and administration research, 10(7).

The Eighth Malaysia Plan 2001-2005. (n.d.). In

The Mobile Mandate: Criteo Q2 State of Mobile Commerce Report Highlights Powerful Role that Apps and Cross Device Play in Purchasing Cycle. (2015, June Criteo.

Tjiptono, F., Khan, G., Yeong, E. S., & Kunchamboo, V. (2020). Generation Z in Malaysia: The Four “E” Generation. The New Generation Z in Asia: Dynamics, Differences, Digitalisation, 149–163.

Tripathi, R., Khatri, N., & Mamde, A. (2020). Sample size and sampling considerations in published clinical research articles. J Assoc Physicians India, 68(3), 14–18.

Tsu Wei, T., Marthandan, G., Yee‐Loong Chong, A., Ooi, K., & Arumugam, S. (2009). What drives Malaysian m‐commerce adoption? An empirical analysis. Industrial Management & Data Systems, 109(3), 370–388.

Uddin, M. S., & Akhi, A. Y. (2014). E-Wallet System for Bangladesh an Electronic Payment System. International Journal of Modeling and Optimization, 4(3), 216

van der Heijden, H. (2004). User acceptance of hedonic information systems. MIS Quarterly, 28(4), 695-704.

van der Heijden, Hans, (2002). Factors Affecting the Successful Introduction of Mobile Payment Systems. BLED 2002 Proceedings. 20.

Van Slyke, C., Belanger, F., & Comunale, C. L. (2004). Factors influencing the adoption of mobile financial services: A study of the diffusion of mobile banking. Journal of Information Privacy and Security, 1(1), 33-52.

Venkatesh, V. (1999). Creation of favorable user perceptions: exploring the role of intrinsic motivation. MIS Quarterly, 23(2), 239.

Venkatesh, V., & Bala, H. (2008). Technology acceptance model 3 and a research agenda on interventions. Decision Sciences, 39(2), 273-315.

Venkatesh, V., & Davis, F. D. (1996). A model of the antecedents of perceived ease of use: Development and test. Decision Sciences, 27(3), 451–481.

Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186-204.

Venkatesh, V., & Morris, M. G. (2000). Why don’t men ever stop to ask for directions? Gender, social influence, and their role in technology acceptance and usage behavior. MIS Quarterly, 24(1), 115–139.

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.

Venkatesh, V., Speier, C., & Morris, M. G. (2002). User acceptance enablers in individual decision making about technology: Toward an integrated model. Decision sciences, 33(2), 297-316.

Wang, Q., & Liang, Y. (2019). Factors affecting Chinese consumers’ adoption of mobile health applications: An empirical study. Telemedicine and e-Health, 25(3), 182-188.

Wang, X., Yu, J., & Wei, X. (2020). Exploring the impact of mobile device security features on user adoption of mobile payment. Telematics and Informatics, 50, 101399.

Wang, Y., Hernández, J. E., & Wang, S. (2017). Determinants of mobile commerce customer loyalty in China: A structural equation model analyzing perceived value and satisfaction. Journal of Global Information Management, 25(2), 42-63.

Wasiul Karim, M., Arije Ulfy, M., & Nazmul Huda, M. (2020). Determining Intention to Use Smartphone Banking Application among Millennial Cohort in Malaysia. International Journal of Management and Sustainability, 9(1), 43–53.

Willems, K., Verhulst, N., Brengman, M. (2021). How COVID-19 could accelerate the adoption of new retail technologies and enhance the (e-)servicescape. In: Lee, J., Han, S.H. (eds) The future of service post-COVID-19 pandemic, Volume 2. The ICT and Evolution of Work. Springer, Singapore.

Willman, J. (2015). The sharing millennials: How differences in sharing behaviors affect mobile app usage among Western and Eastern consumers (Doctoral dissertation, The Ohio State University).

Wong, C. H., Tan, G. W. H., Ooi, K. B., & Lin, B. (2015). Mobile shopping: the next frontier of the shopping industry? An emerging market perspective. International Journal of Mobile Communications, 13(1), 92.

Woon, L. P., Tan, G. W. H., & Ismail, H. (2018). Security, privacy, and trust in mobile applications: A review. International Journal of Multimedia and Ubiquitous Engineering, 13(8), 139-152.

Wu, J.-H., & Chen, Y.-C. (2019). Continuance intention to use mobile payment services: Exploring the moderating effect of switching costs. Journal of Information Systems and Technology Management, 16, e2019030201

Wu, J., Liu, L., & Huang, L. (2017). Consumer acceptance of mobile payment across time. Industrial Management & Data Systems, 117(8), 1761–1776.

Wu, Y., & Chen, Y. (2019). Factors influencing the adoption of mobile payment services: Empirical evidence from Taiwan. International Journal of Mobile Communications, 17(1), 40-60.

Yan, L.-Y., Tan, G. W.-H., Loh, X.-M., Hew, J.-J., & Ooi, K.-B. (2021). QR code and mobile payment: The disruptive forces in retail. Journal of Retailing and Consumer Services, 58, 102300.

Yaokumah, W., Kumah, P., & Okai, E. S. A. (2017). Demographic Influences on E-Payment Services. International Journal of E-Business Research, 13(1), 44–65.

Yoo, S. J., & Kim, S. H. (2021). Analysis of the adoption of mobile healthcare applications: A comparison of users and non-users. Healthcare Informatics Research, 27(2), 102-109.

Yoon, C., & Kim, S. (2007). Convenience and TAM in a ubiquitous computing environment: The case of wireless LAN. Electronic Commerce Research and Applications, 6(1), 102–112.

YuSheng, K. and Ibrahim, M. (2019). Service innovation, service delivery and customer satisfaction and loyalty in the banking sector of Ghana. International Journal of Bank Marketing, 37(5), 1215-1233.

Zhang, J., Zhang, H., & Sun, Q. (2021). Examining the effects of perceived usefulness and perceived ease of use on mobile payment adoption: An empirical study in China. Information Technology and People, 34(4), 1179-1203.


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