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IJSTR >> Volume 8 - Issue 11, November 2019 Edition

International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616

The Role Of Technology Acceptance Model On Rhb Mobile Banking

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Ahmad Adzri Bin Abdul Halim Shah, Anuar Shah Bin Bali Mahomed, Rana Mohsin Ali, Raja Nerina Binti Raja Yusof



Mobile banking, Technology acceptance model, perceived ease of use, perceived usefulness, perceived trust, intention to use, internet banking.



Mobile banking developments and trends in recent years had great impacts on banking sector worldwide. Therefore, the disruptive innovative technology has accelerated changes in the way of banking business. The purpose of this paper is to explore the role of Technology Acceptance Model on RHB Mobile Banking. The sample used in this study includes 85 responses of RHB Mobile Banking users collected through structured questionnaire distributed via cyberspace. For statistical analysis, structural equation model (SEM) approach was used. The present study suggests that mobile banking use increases as long as customer perceives it as useful tool. Findings confirmed that perceived usefulness, perceived ease of use and perceived trust were the key constructs for promoting mobile banking usage in Malaysia. Furthermore, the importance performance matrix analysis trust has seen the most important factor. Thus, banks can focus on cultivation of positive trust beliefs about mobile banking among prospect customers.



[1] [1]Zhou, T., Lu, Y., & Wang, B. (2010). Integrating TTF and UTAUT to Explain Mobile Banking User Adoption. Computers in Human Behavior, Vol. 26, 760–767.
[2] Bank Negara Malaysia (2019). Internet Banking and Mobile Banking Subscribers. http://www.bnm.gov.my/payment/statistics/pdf/04_internet_banking.pdf (May 20 2019).
[3] Board of Governors of Federal Reserve Systems (2012). Consumer and Mobile Financial Services: March 2012. Washington, Board of Governors of Federal Reserve Systems.
[4] Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology.
[5] Lederer A. L., Maupin, D. J., Sena, M. P., & Zhuang, Y. L. (2000). The technology acceptance model and the world wide web, Decision Support Systems 29, 269-282.
[6] Schurr, P. H., & Ozanne, J. L. (1985). Influences on exchange processes: Buyers’ preconceptions of a seller’s trustworthiness and bargaining toughness. Journal of Consumer Research, 11, 939-953.
[7] Liébana-Cabanillas, F., Sánchez-Fernández, J., & Mu˜noz-Leiva,F. (2014). Antecedents of the adoption of the new mobile payment systems: The moderating effect of age. Computers in Human Behaviour, 46-478.
[8] Pavlou, P. A. (2003). Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model. International Journal Electronic Commerce, 7(3), 69-103.
[9] Bounagui, M., & Nel, J. (2009). Towards understanding intention to purchase online music downloads, Management Dynamics. Journal of the Southern African Institute for Management Scientists,18(1), 15-26.
[10] Agag, G., & El-Masry, A. A. (2016). Understanding the determinants of hotel booking intentions and moderating role of habit. International Journal of Hospitality Management, 54, 52-67.
[11] Abdullah, A., & Lim, L. (2001). Cultural Dimensions of Anglos, Australians and Malaysians. Malaysian Management Review, 36 (2), 9-17.
[12] Ebrahimi, N., & et al. (2010). Cultural effect on using new technologies. World Academy of Science, Engineering and Technology, 10 (70).
[13] Neuman, W. L. (1997). Social research methods: Qualitative and quantitative approaches, Allyn and Bacon, Boston.
[14] Hair, J.F. (2003). Essentials of business research methods. Wiley.
[15] Sekaran, U. (2000). Research Methods for Managers: A Skill-Building Approach (3rd edition). New York: John Wiley.
[16] Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of Marketing Research, 382-388.