The adoption of mobile banking application among Muslim senior citizens in Selangor, Malaysia
List of Authors
  • Mohamad Azwan Md Isa , Muhammad Zulhelmi Mohamad Sabri

Keyword
  • mobile banking application, Muslim senior citizens, perceived credibility, perceived risk, perceived ease of use, perceived usefulness

Abstract
  • The adoption rate of mobile banking application (MBA) in Malaysia is considered still low despite pronounced growth in number of smartphone users. Therefore, this study aims to investigate the factors that influence the intention to adopt MBA focusing on Muslim senior citizens (MSCs) particularly in Selangor, Malaysia. The four factors tested are perceived credibility (PC), perceived risk (PR), perceived ease of use (PEU) and perceived usefulness (PU). Primary data is collected from 150 respondents using a 5-point Likert scale questionnaire. Our study employs several analyses, namely descriptive, reliability, correlation and multiple regression analyses. The findings indicate that PC and PU have significant relationships and positively influence the intention to adopt MBA among the MSCs in Selangor. The findings are beneficial to related parties particularly the banking and financial institutions (BFIs), mobile service providers and policy makers in enhancing the service quality and efficient delivery of the MBA.

Reference
  • 1. Amin, H., Hamid, M. R. A. 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), 43-53.

    2. Anouze, A. L. M., & Alamro, A. S. (2019). Factors Affecting Intention to Use E-banking in Jordan. International Journal of Bank Marketing, 38(1), 86-112.

    3. Awam, J. P. (December, 2019). Portal Rasmi Bahagian Pasca Perkhidmatan. Retrieved from http://www.jpapencen.gov.my/

    4. Bankmycell. (2019). Bankmycell.com. Retrieved from Bankmycell.com: https://www.bankmycell.com

    5. Chung, N., & Kwon, S. J. (2009). The Effects of Customers' Mobile Experience and Technical Support on the Intention to Use Mobile Banking. CyberPsychology & Behavior, 12(5).

    6. Daud, N. M., Kassim, N. E. M., Said, W. S. R. W. M., & Noor, M. M. M. (2011). Determining Critical Success Factors of Mobile Banking Adoption in Malaysia. Australian Journal of Basic and Applied Sciences, 5(9), 252-265.

    7. De Leon, M.V. (2019). Factors Influencing Behavioural Intention to Use Mobile Banking among Retail Banking Clients. Jurnal Studi Komunikasi, 3(2). doi: 10.25139/jsk.3i2.1469

    8. Frambach, R. T., Barkema, H. G., Nooteboom, B., & Wedel, M. (1998). Adoption of A Service Innovation in the Business Market: An Empirical Test of Supply-Side Variables. Journal of Business Research, 41, 161-174.

    9. Kuruppu, C., Jayawardena, A., Weerasinghe, S., Samarathunga, D., & Mihipal, R. (2019). Senior Citizens’ Intention to Use Digital Banking (with Special Reference to Selected Commercial Bank in Sri Lanka). Global Journal of Management and Business Research: C Finance, 19(6), 24-29.

    10. Li, H., Liu, Y., & Heikkilä, J. (2014). Understanding the Factors Driving NFC-enabled Mobile Payment Adoption: An Empirical Investigation. PACIS 2014 Proceedings, 231.

    11. Lim, Y. M., Yap, C. S., & Lee, T. H. (2011). Intention to Shop Online: A Study of Malaysian Baby Boomers. African Journal of Business Management, 5(5), 1711-1717.

    12. Loo, M. (2010). Attitudes and Perceptions towards Islamic Banking among Muslims and NonMuslims in Malaysia: Implications for Marketing to Baby Boomers and XGeneration. International Journal of Arts and Sciences, 3(13), 453-485.

    13. Lule, I., Omwansa, T. K., & Waema, T. M. (2012). Application of Technology Acceptance Model (TAM) in M-Banking Adoption in Kenya. International Journal of Computing and ICT Research, 6(1), 31-43.

    14. Malaysia, D. O. S. (2019). Department of Statistics Malaysia, Official Portal. Retrieved from The Source of Malaysia's Official Statistics: https://www.dosm.gov.my/v1/

    15. Maulana, C. Z., Suryana, Y., Kartini, D., & Febrian, E. (2019). Influencing Factors on the Actual Usage of Mobile Phone Banking in the Shari’ah Banks: A Survey in Palembang City, Indonesia. Global Review of Islamic Economics and Business, 7(1).

    16. Munoz-Leiva, F., Climent-Climent, S., & Liébana-Cabanillas, F. (2016). Determinants of Intention to Use the Mobile Banking Apps: An Extension of the Classic TAM Model. Spanish Journal of Marketing ESIC, 21, 25-38.

    17. Pham, 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.

    18. Rehman, Z. U., & Shaikh, F. A. (2020). Critical Factors Influencing the Behavioral Intention of Consumers towards Mobile Banking in Malaysia. Engineering, Technology & Applied Science Research, 10(1), 5265-5269.

    19. Safeena, R., Hundewale, N., & Kamani, A. (2011). Customer’s Adoption of MobileCommerce: A Study on Emerging Economy. International Journal of e-Education, eBusiness, e-Management and e-Learning, 1(3), 228-233.

    20. Safeena, R., Date, H., Kammani, A., & Hundewale, N. (2012). Technology Adoption and Indian Consumers: Study on Mobile Banking. International Journal of Computer Theory and Engineering, 4(6), 1020-1024.

    21. Shaikh, A. A. (2013). Mobile Banking Adoption Issues in Pakistan and Challenges Ahead. Journal of the Institute of Bankers Pakistan, 80(3).

    22. Shaikh, A. A., & Karjaluoto, H. (2015). Mobile Banking Adoption: A Literature Review. Telematics and Informatics, 32(1), 129–142.

    23. Teo, T., Wong, S. L., & Chai, C. S. (2008). A Cross-cultural Examination of the Intention to Use Technology between Singaporean and Malaysian Pre-service Teachers: An Application of the Technology Acceptance Model (TAM). Journal of Educational Technology & Society, 11(4), 265-280.

    24. Venkatesh, V., Thong, J. Y. L., & Xu, X. (2016). Unified Theory of Acceptance and Use of Technology: A Synthesis and the Road Ahead. Journal of the Association for Information Systems, 17(5), 328–376.

    25. Vijayasarathy, L. R. (2004). Predicting Consumer Intentions to Use On-line Shopping: The Case for an Augmented Technology Acceptance Model. Information & Management 41(6), 747-762.

    26. Yu, C. S. (2012). Factors Affecting Individuals to Adopt Mobile Banking: Empirical Evidence from the UTAUT Model. Journal of Electronic Commerce Research, 13(2).

    27. Zhang, T., Lu, C., & Kizildag, M. (2018). Banking “On-the-Go”: Examining Consumers’ Adoption of Mobile Banking Services. International Journal of Quality and Service Sciences, 10(3), 279-295.