IDEAS home Printed from https://ideas.repec.org/a/bec/imsber/v9y2017i2p101-134.html
   My bibliography  Save this article

Factors Influencing Consumer Intentions to Adopt Online Banking in Malaysia

Author

Listed:
  • Aftab Pervez Khan

    (Institute of Management Sciences, Peshawar)

  • Shahnawaz Khan

    (Institute of Management Sciences, Peshawar)

  • Ivan Ang Ri Xiang

Abstract

As the world gradually shifts to the technological age, the number of digital savvy consumers has been growing exponentially. Such trends would eventually translate to increased consumer demand for digital related services such as online banking. Since online banking offers a number of benefits to the banking sector, therefore, banks need to deeply understand the factors which influence consumer intentions in adopting online banking. This paper investigates some of the most significant factors influencing consumers’ intentions to adopt online banking in the Malaysian context. A survey is conducted for this purpose and a sample of 200 respondents is chosen which includes male and females in equal proportions. Self-administered questionnaire is used for data collection. Seven factors are identified to have impact on the consumer intentions in adopting online banking. Four of them are found to have significant impact on consumer intentions which are convenience, trust, perceived ease of use, and perceived usefulness; whereas, the rest of the factors, i.e. social influence, gender and age group, do not impact consumer intentions in adopting online banking. The study has implications for banks which provide online facilities and those who plan to go online. Further, the study has implications for policy makers who intend to promote online environment as the study reveals some of the major factors which need due consideration in this respect.

Suggested Citation

  • Aftab Pervez Khan & Shahnawaz Khan & Ivan Ang Ri Xiang, 2017. "Factors Influencing Consumer Intentions to Adopt Online Banking in Malaysia," Business & Economic Review, Institute of Management Sciences, Peshawar, Pakistan, vol. 9(2), pages 101-134, June.
  • Handle: RePEc:bec:imsber:v:9:y:2017:i:2:p:101-134
    DOI: dx.doi.org/10.22547/BER/9.2.5
    as

    Download full text from publisher

    File URL: http://imsciences.edu.pk/files/journals/2017-vol-2/New%205.pdf
    Download Restriction: no

    File URL: https://libkey.io/dx.doi.org/10.22547/BER/9.2.5?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Chang, Yoonhee Tina, 2003. "Dynamics of Banking Technology Adoption: An Application to Internet Banking," Royal Economic Society Annual Conference 2003 41, Royal Economic Society.
    2. Alma Cohen & Liran Einav, 2007. "Estimating Risk Preferences from Deductible Choice," American Economic Review, American Economic Association, vol. 97(3), pages 745-788, June.
    3. Ritu Agarwal & V. Sambamurthy & Ralph M. Stair, 2000. "Research Report: The Evolving Relationship Between General and Specific Computer Self-Efficacy—An Empirical Assessment," Information Systems Research, INFORMS, vol. 11(4), pages 418-430, December.
    4. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    5. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    6. Richard D. Johnson & George M. Marakas, 2000. "Research Report: The Role of Behavioral Modeling in Computer Skills Acquisition: Toward Refinement of the Model," Information Systems Research, INFORMS, vol. 11(4), pages 402-417, December.
    7. Shirley Taylor & Peter A. Todd, 1995. "Understanding Information Technology Usage: A Test of Competing Models," Information Systems Research, INFORMS, vol. 6(2), pages 144-176, June.
    8. Clemes, Michael D. & Brush, Gregory J. & Collins, Mark J., 2011. "Analysing the professional sport experience: A hierarchical approach," Sport Management Review, Elsevier, vol. 14(4), pages 370-388.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Giao, Ha Nam Khanh & Vuong, Bui Nhat, 2020. "A model of Factors Influencing Behavioral Intention to Use Internet Banking and the Moderating Role of Anxiety: Evidence from Vietnam," OSF Preprints 3rgh6, Center for Open Science.
    2. Sk Alamgir Hossain & Yukon Bao & Najmul Hasan & Md Farijul Islam, 2020. "Perception and prediction of intention to use online banking systems: An empirical study using extended TAM," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 9(1), pages 112-126, January.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Garima Malik & A. Sajeevan Rao, 2019. "Extended expectation-confirmation model to predict continued usage of ODR/ride hailing apps: role of perceived value and self-efficacy," Information Technology & Tourism, Springer, vol. 21(4), pages 461-482, December.
    2. Jeeyeon Jeong & Yaeri Kim & Taewoo Roh, 2021. "Do Consumers Care About Aesthetics and Compatibility? The Intention to Use Wearable Devices in Health Care," SAGE Open, , vol. 11(3), pages 21582440211, August.
    3. Al-Qeisi, Kholoud & Dennis, Charles & Alamanos, Eleftherios & Jayawardhena, Chanaka, 2014. "Website design quality and usage behavior: Unified Theory of Acceptance and Use of Technology," Journal of Business Research, Elsevier, vol. 67(11), pages 2282-2290.
    4. Chua Chang Jin & Lim Chee Seong & Aye Aye Khin, 2019. "Factors Affecting the Consumer Acceptance towards Fintech Products and Services in Malaysia," International Journal of Asian Social Science, Asian Economic and Social Society, vol. 9(1), pages 59-65, January.
    5. Lionel P. Robert Jr. & Tracy Ann Sykes, 2017. "Extending the Concept of Control Beliefs: Integrating the Role of Advice Networks," Information Systems Research, INFORMS, vol. 28(1), pages 84-96, March.
    6. Weiyin Hong & Frank K. Y. Chan & James Y. L. Thong & Lewis C. Chasalow & Gurpreet Dhillon, 2014. "A Framework and Guidelines for Context-Specific Theorizing in Information Systems Research," Information Systems Research, INFORMS, vol. 25(1), pages 111-136, March.
    7. Paul Juinn Bing Tan, 2013. "Applying the UTAUT to Understand Factors Affecting the Use of English E-Learning Websites in Taiwan," SAGE Open, , vol. 3(4), pages 21582440135, October.
    8. Mäntymäki, Matti & Salo, Jari, 2013. "Purchasing behavior in social virtual worlds: An examination of Habbo Hotel," International Journal of Information Management, Elsevier, vol. 33(2), pages 282-290.
    9. Alfiero, Simona & Battisti, Enrico & Ηadjielias, Elias, 2022. "Black box technology, usage-based insurance, and prediction of purchase behavior: Evidence from the auto insurance sector," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    10. Cowan, Kelly R. & Daim, Tugrul U., 2011. "Review of technology acquisition and adoption research in the energy sector," Technology in Society, Elsevier, vol. 33(3), pages 183-199.
    11. Chia-Chien Hsu & Brian Sandford & Chia-Ju Ling & Ching-Torng Lin, 2021. "Can the Unified Theory of Acceptance and Use of Technology (UTAUT) Help Explain Subjective Well-Being in Senior Citizens due to Gateball Participation?," IJERPH, MDPI, vol. 18(17), pages 1-15, August.
    12. Sanjeev Verma, 2015. "Harnessing the Benefit of Social Networking Sites for Intentional Social Action: Determinants and Challenges," Vision, , vol. 19(2), pages 104-111, June.
    13. Muhammad Ali & Syed Ali Raza & Chin-Hong Puah & Mohd Zaini Abd Karim, 2017. "Islamic home financing in Pakistan: a SEM-based approach using modified TPB model," Housing Studies, Taylor & Francis Journals, vol. 32(8), pages 1156-1177, November.
    14. Yiming Shao & Zhugen Wang & Zhiwei Zhou & Haojing Chen & Yuanlong Cui & Zhenghuan Zhou, 2022. "Determinants Affecting Public Intention to Use Micro-Vertical Farming: A Survey Investigation," Sustainability, MDPI, vol. 14(15), pages 1-26, July.
    15. Yang, Byunghwa & Kim, Youngchan & Yoo, Changjo, 2013. "The integrated mobile advertising model: The effects of technology- and emotion-based evaluations," Journal of Business Research, Elsevier, vol. 66(9), pages 1345-1352.
    16. Guych Nuryyev & Yu-Ping Wang & Jennet Achyldurdyyeva & Bih-Shiaw Jaw & Yi-Shien Yeh & Hsien-Tang Lin & Li-Fan Wu, 2020. "Blockchain Technology Adoption Behavior and Sustainability of the Business in Tourism and Hospitality SMEs: An Empirical Study," Sustainability, MDPI, vol. 12(3), pages 1-21, February.
    17. Viswanath Venkatesh, 2000. "Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model," Information Systems Research, INFORMS, vol. 11(4), pages 342-365, December.
    18. Hossain, Akram & Quaresma, Rui & Rahman, Habibur, 2019. "Investigating factors influencing the physicians’ adoption of electronic health record (EHR) in healthcare system of Bangladesh: An empirical study," International Journal of Information Management, Elsevier, vol. 44(C), pages 76-87.
    19. Deborah Compeau & Barbara Marcolin & Helen Kelley & Chris Higgins, 2012. "Research Commentary ---Generalizability of Information Systems Research Using Student Subjects---A Reflection on Our Practices and Recommendations for Future Research," Information Systems Research, INFORMS, vol. 23(4), pages 1093-1109, December.
    20. Mohammad Khasawneh, 2017. "Promoting the Higher Education Excellence in Jordan: Factors Influencing Learner Attitude toward E-Learning Environment Based on the Integrated Platform," Journal of Social Sciences (COES&RJ-JSS), , vol. 6(1), pages 139-155, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bec:imsber:v:9:y:2017:i:2:p:101-134. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Dr. Attaullah Shah (email available below). General contact details of provider: https://edirc.repec.org/data/imspepk.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.