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The Perceived Attitude of Bank Customers towards the Intention to Use Digital Banking in Malaysia

Open access

Liana Mohamad, Zahir Osman, Ratna Khuzaimah Mohamad, Zulaihan Ismail, Mohd Irman Mohd Din

Pages 1213-1227 Received: 15 Nov, 2022 Revised: 17 Dec, 2022 Published Online: 18 Jan, 2023

http://dx.doi.org/10.46886/IJARBSS/v13-i1/10310
Digital banking is a new concept that entails a complete digital shift. Malaysia's sizable banked population is hastening the digitalisation of banking services. Malaysia is about to embrace digital banking. While digital technology has advanced, it still simplifies banking. However, some users are aware of it but are unwilling to use it. Thus, increasing digital adoption in Malaysia is required to ensure the success of digital banking. Despite the trend toward digital banking, these numbers remain low. Thus, this study aims to assess the impact of perceived usefulness, ease of use, trust, and peer influence on attitude, as well as the impact of attitude on intention to use a digital bank. The Technology Acceptance Model (TAM) was used in this study to investigate the effect of perceived usefulness, ease of use, trust, and peer influence on the intention to use digital banking. The research framework for this study included perceived usefulness, ease of use, trust, peer influence attitude, and intention. Perceived usefulness, ease of use, trust, and peer influence are all independent variables. Attitude is a moderator, and intention is a dependent variable. This study is quantitative and will rely on primary data. All measurement items were evaluated using Likert scales ranging from strongly disagree to agree strongly. This study also employed non-probability purposive sampling. The data for this study will be cleaned and screened using SPSS 18. The data were analysed using partial least squares structural equation modelling, and SmartPLS 3 was used to analyse reliability, validity, and hypothesis testing data.
Abed, S. S. (2020). Social commerce adoption using TOE framework: An empirical investigation of Saudi Arabian SMEs. International Journal of Information Management, 53, 102118.
Alkhowaiter, W. A. (2020). Digital payment and banking adoption research in Gulf countries: A systematic literature review. International Journal of Information Management, 53, 102102.
Allied Market Research. (2019). https://www.alliedmarketresearch.com/digital-banking-platforms-market
Al-Rahmi, W. M., Yahaya, N., Alamri, M. M., Alyoussef, I. Y., Al-Rahmi, A. M., & Kamin, Y. B. (2019). Integrating innovation diffusion theory with technology acceptance model: Supporting students' attitude towards using massive open online courses (MOOCs) systems. Interactive Learning Environments, 1-13.
Alraja, M. N., Farooque, M. M. J., & Khashab, B. (2019). The effect of security, privacy, familiarity, and trust on users' attitudes toward the use of the IoT-based healthcare: the mediation role of risk perception. IEEE Access, 7, 111341-111354
Asian Institute of Finance (AIF) Research Report (2016). Digital Banking: Measuring the Consumer Pulse in Malaysia
Aziz, S., Husin, M. M., Hussin, N., & Afaq, Z. (2019). Factors that influence individuals' intentions to purchase family takaful mediating role of perceived trust. Asia Pacific Journal of Marketing and Logistics.
Azman, M. N. A., Kamis, A., Che Kob, C. G., Abdullah, A. S., Jerussalem, M. A., Komariah, K., & Budiastuti, E. (2020). How Good Is My Guru: The Lecturers' Perceived Usefulness and Attitude. Cakrawala Pendidikan, 39(2), 422-431.
Babakus, E., & Boller, G. W. (1992). An empirical assessment of the SERVQUAL scale. Journal of Business Research, 24(3), 253-268.
Bashir, I., & Madhavaiah, C. (2015). Consumer attitude and behavioural intention towards Internet banking adoption in India. Journal of Indian Business Research.
Bashir, I., & Madhavaiah, C. (2015). Trust, Social Influence, Self?Efficacy, Perceived Risk and Internet Banking Acceptance: An Extension of Technology Acceptance Model in Indian Context. Metamorphosis, 14(1), 25-38.
Chen, L., & Aklikokou, A. K. (2020). Determinants of E-government adoption: Testing the mediating effects of perceived usefulness and perceived ease of use. International Journal of Public Administration, 43(10), 850-865.
Cohen, J. (1992). A Power Primer. Psychological Bulletin, 112(July), 155–159.
Davis, F. D. (1989), "Perceived usefulness, perceived ease of use, and user acceptance of information technology", MIS Quarterly, 13 (3): 319–340,
Falode, O. C. (2018). Pre-Service Teachers' Perceived Ease of Use, Perceived Usefulness, Attitude and Intentions towards Virtual Laboratory Package Utilization in Teaching and Learning of Physics. Malaysian Online Journal of Educational Technology, 6(3), 63-72.
FICO Survey. (2020). Validating digital IDs too complex for Malaysian banks. https://www.fico.com/en/newsroom/fico-survey-complexity-and-cost-top-pain-points-lenders-malaysia-when-validating-digital
Fintech News. (2021). https://fintechnews.my/25839/virtual-banking/bank-negara-malaysia-to-issue-up-to-5-digital-banking-licenses-in-2022/
Guritno, S., & Siringoringo, H. (2013). Perceived usefulness, ease of use, and attitude towards online shopping usefulness towards online airlines ticket purchase. Procedia-Social and Behavioral Sciences, 81, 212-216.
Gunawan, F., Ali, M. M., & Nugroho, A. (2019). Analysis of the Effects of Perceived Ease of Use and Perceived Usefulness on Consumer Attitude and Their Impacts on Purchase Decision on PT Tokopedia In Jabodetabek. European Journal of Business and Management Research, 4(5).
Hair, J. F., Hult, G. T. M., Ringle, C. M., and Sarstedt, M. (2017). A primer on partial least squares structural equation modelling (PLS-SEM) (2nd ed.). Thousand Oaks, CA: SAGE.
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis (7th Ed.). Englewood Cliffs: Prentice-Hall.
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2014). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). Thousand Oaks: Sage
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A primer on partial least squares structural equation modeling (PLS-SEM). Los Angeles: Sage Publication.
Hart, S. A., & Laher, S. (2015). Perceived usefulness and culture as predictors of teachers attitudes towards educational technology in South Africa. South African Journal of Education, 35(4).
Henseler, J., Ringle, C. M., and Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling, Journal of the Academy of Marketing Science, 43(1): 115-135.
Hew, J. J., Tan, G. W. H., Lin, B., & Ooi, K. B. (2017). Generating travel-related contents
through mobile social tourism: does privacy paradox persist? Telematics and Informatics, 34(7), 914–935.
Indarsin, T., & Ali, H. (2017). Attitude toward Using m-commerce: The analysis of perceived usefulness perceived ease of use, and perceived trust: Case study in Ikens Wholesale Trade, Jakarta–Indonesia. Saudi Journal of Business and Management Studies, 2(11), 995-1007.
Internet Users Survey. (2018). Internet User Survey, 1–39. www.mcmc.gov.my.
Jiwasiddi, A., Adhikara, C., Adam, M., & Triana, I. (2019). Attitude toward using Fintech among Millennials. In The 1st Workshop on Multimedia Education, Learning, Assessment and its Implementation in Game and Gamification in conjunction with COMDEV 2018. European Alliance for Innovation (EAI).
Kock, N. (2015) Common method bias in PLS-SEM: A full collinearity assessment approach, International Journal of e-Collaboration, 11(4), 1-10
Mujah, M. J. A. N. (2012). Factors Affecting the Adoption of Online Banking Service: A Case Study in Kuching, Sarawak (Doctoral dissertation, Universiti Malaysia Sarawak).
Muhaimin, H., Mukminin, A., Pratama, R., & Asrial, H. (2019). Predicting factors affecting intention to use Web 2.0 in learning: evidence from science education. Journal of Baltic Science Education, 18(4), 595.
Nguyen, T. T. H., Nguyen, N., Nguyen, T. B. L., Phan, T. T. H., Bui, L. P., & Moon, H. C. (2019). Investigating consumer attitude and intention towards online food purchasing in an emerging economy: An extended TAM approach. Foods, 8(11), 576.
Rahman, M., Ming, T. H., Baigh, T. A., & Sarker, M. (2021). Adoption of artificial intelligence in banking services: an empirical analysis. International Journal of Emerging Markets.
Ringle, C. M., Wende, S., & Becker, J. M. (2015). SmartPLS 3. Boenningstedt: SmartPLS GmbH.
Sachdev, S. B., & Verma, H. V. (2004). Relative importance of service quality dimensions: A multisectoral study. Journal of services research, 4(1).
Suleman, D., & Zuniarti, I. (2019). Consumer Decisions toward Fashion Product Shopping in Indonesia: The effects of Attitude, Perception of Ease of Use, Usefulness, and Trust. Management Dynamics in the Knowledge Economy, 7(2), 133-146.
Tandon, A., Dhir, A., Kaur, P., Kushwah, S., & Salo, J. (2020). Why do people buy organic food? The moderating role of environmental concerns and trust. Journal of Retailing and
Widjaja, E. P. O. (2016). Non-cash payment options in Malaysia. Journal of Southeast Asian Economies, 398-412.
World Bank Group. (2017). Financial inclusion in Malaysia: Distilling lessons for other countries. World Bank.
Yanto, H., Ismail, N., Kiswanto, K., Rahim, N. M., & Baroroh, N. (2021). The roles of peers and social media in building financial literacy among the millennial generation: A case of Indonesian economics and business students. Cogent Social Sciences, 7(1), 1947579.