IDEAS home Printed from https://ideas.repec.org/a/pal/jofsma/v27y2022i3d10.1057_s41264-021-00112-1.html
   My bibliography  Save this article

Exploring usage of mobile banking apps in the UAE: a categorical regression analysis

Author

Listed:
  • Sudipa Majumdar

    (Middlesex University)

  • Vijay Pujari

    (Middlesex University)

Abstract

The banking sector has seen major changes with advances in technology. Electronic financial transactions are gradually taking over traditional banking services in terms of transferring funds, utility payments, insurance premium, mortgages and even stock trading. Despite the widespread popularity of smartphones and the advantages of mobile banking, the adoption rates of the mobile apps have been very low all over the world. Our study explored the consumer acceptance of mobile apps in the United Arab Emirates (UAE) by using a structured online questionnaire that was designed using standard variables from the Technology Acceptance Model. Principal component analysis was used to identify and score these factors for the subsequent categorical regression analysis. Consumers were assigned numerical categories depending on their level of usage of the app, and the CATREG nonlinear technique was used to determine the significance of technology acceptance factors. The results show that almost two-thirds of the sample were currently using Mobile Banking apps, and they predominantly belonged to the 30–40 age-group. Perceived usefulness and available information were identified as the main factors influencing acceptance and level of usage of mobile banking apps. This study makes a significant contribution to the existing literature by identifying consumers according to their level of usage and adopting the categorical regression model, which has not been attempted earlier. The results provide important insights for banking professionals in the UAE, in terms of marketing initiatives, information technology and customer service.

Suggested Citation

  • Sudipa Majumdar & Vijay Pujari, 2022. "Exploring usage of mobile banking apps in the UAE: a categorical regression analysis," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 27(3), pages 177-189, September.
  • Handle: RePEc:pal:jofsma:v:27:y:2022:i:3:d:10.1057_s41264-021-00112-1
    DOI: 10.1057/s41264-021-00112-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41264-021-00112-1
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1057/s41264-021-00112-1?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    2. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    3. Porter, Constance Elise & Donthu, Naveen, 2006. "Using the technology acceptance model to explain how attitudes determine Internet usage: The role of perceived access barriers and demographics," Journal of Business Research, Elsevier, vol. 59(9), pages 999-1007, September.
    4. Karjaluoto, Heikki & Shaikh, Aijaz A. & Saarijärvi, Hannu & Saraniemi, Saila, 2019. "How perceived value drives the use of mobile financial services apps," International Journal of Information Management, Elsevier, vol. 47(C), pages 252-261.
    5. Teo, Thompson S. H. & Lim, Vivien K. G. & Lai, Raye Y. C., 1999. "Intrinsic and extrinsic motivation in Internet usage," Omega, Elsevier, vol. 27(1), pages 25-37, February.
    6. Lee Cronbach, 1951. "Coefficient alpha and the internal structure of tests," Psychometrika, Springer;The Psychometric Society, vol. 16(3), pages 297-334, September.
    7. Kieran Mathieson, 1991. "Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior," Information Systems Research, INFORMS, vol. 2(3), pages 173-191, September.
    8. Said Al-Gahtani, 2001. "The Applicability of TAM Outside North America: An Empirical Test in the United Kingdom," Information Resources Management Journal (IRMJ), IGI Global, vol. 14(3), pages 37-46, July.
    9. Henry Kaiser, 1970. "A second generation little jiffy," Psychometrika, Springer;The Psychometric Society, vol. 35(4), pages 401-415, December.
    10. Wasim Qazi & Syed Ali Raza & Nida Shah, 2018. "Acceptance of e-book reading among higher education students in a developing country: the modified diffusion innovation theory," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 27(2), pages 222-245.
    11. 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.
    12. Rachna Banerjee & Sudipa Majumdar, 2018. "Does Financial Regulation Influence Bank Efficiency? A Study on UAE Banking Sector," Springer Proceedings in Business and Economics, in: Nicholas Tsounis & Aspasia Vlachvei (ed.), Advances in Panel Data Analysis in Applied Economic Research, chapter 0, pages 679-691, Springer.
    13. Jacqueline Meulman, 2003. "Prediction and classification in nonlinear data analysis: Something old, something new, something borrowed, something blue," Psychometrika, Springer;The Psychometric Society, vol. 68(4), pages 493-517, December.
    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. İbrahim Aydın & Zübeyir Çelik & Kaan Yiğenoğlu & Ayhan Cesur, 2024. "Consumers' foresight for the digital Turkish lira: an empirical study," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 29(2), pages 214-228, June.
    2. Bingyu Sun & Konomi Ikebe & Yirui Han & Xiangting He, 2023. "Protection System and Preservation Status for Heritage of Industrial Modernization in China—Based on a Case Study of Shenyang City," Sustainability, MDPI, vol. 15(3), pages 1-28, January.
    3. L. Vimal Raj & S. Amilan & K. Aparna & Karthick Swaminathan, 2024. "Factors influencing the adoption of cashless transactions during COVID-19: an extension of enhanced UTAUT with pandemic precautionary measures," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 29(2), pages 488-507, June.
    4. Aristides Papathomas & George Konteos, 2024. "Financial institutions digital transformation: the stages of the journey and business metrics to follow," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 29(2), pages 590-606, June.
    5. Katarzyna Schmidt-Jessa & Maciej Stradomski, 2023. "Consumer awareness and acceptance of digital-only banks," Bank i Kredyt, Narodowy Bank Polski, vol. 54(4), pages 389-418.
    6. Tengku Ikmal Hakimi & Johanna Abdullah Jaafar & Nor Azah Abdul Aziz, 2023. "What factors influence the usage of mobile banking among digital natives?," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 28(4), pages 763-778, December.

    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. Chen Wei, 2021. "The influence of Consumers’ Purchase intention on Smart Wearable Device: A study of Consumers in East China," International Journal of Science and Business, IJSAB International, vol. 5(8), pages 46-72.
    2. Nedra, Bahri-Ammari & Hadhri, Walid & Mezrani, Mariem, 2019. "Determinants of customers' intentions to use hedonic networks: The case of Instagram," Journal of Retailing and Consumer Services, Elsevier, vol. 46(C), pages 21-32.
    3. Huang, Tony Cheng-Kui & Liu, Chuang-Chun & Chang, Dong-Cheng, 2012. "An empirical investigation of factors influencing the adoption of data mining tools," International Journal of Information Management, Elsevier, vol. 32(3), pages 257-270.
    4. Andrei OGREZEANU, 2015. "Models Of Technology Adoption: An Integrative Approach," Network Intelligence Studies, Romanian Foundation for Business Intelligence, Editorial Department, issue 5, pages 55-67, June.
    5. Allam, Hesham & Bliemel, Michael & Spiteri, Louise & Blustein, James & Ali-Hassan, Hossam, 2019. "Applying a multi-dimensional hedonic concept of intrinsic motivation on social tagging tools: A theoretical model and empirical validation," International Journal of Information Management, Elsevier, vol. 45(C), pages 211-222.
    6. Rajak, Manindra & Shaw, Krishnendu, 2021. "An extension of technology acceptance model for mHealth user adoption," Technology in Society, Elsevier, vol. 67(C).
    7. Zhen Wang & John Lim & Xiaojia Guo, 2010. "Negotiator Satisfaction in NSS-Facilitated Negotiation," Group Decision and Negotiation, Springer, vol. 19(3), pages 279-300, May.
    8. 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.
    9. 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.
    10. Gao, Tao (Tony) & Rohm, Andrew J. & Sultan, Fareena & Pagani, Margherita, 2013. "Consumers un-tethered: A three-market empirical study of consumers' mobile marketing acceptance," Journal of Business Research, Elsevier, vol. 66(12), pages 2536-2544.
    11. Mohammad Tipu Sultan & Farzana Sharmin & Alina Badulescu & Darie Gavrilut & Ke Xue, 2021. "Social Media-Based Content towards Image Formation: A New Approach to the Selection of Sustainable Destinations," Sustainability, MDPI, vol. 13(8), pages 1-22, April.
    12. Kamrath, Carolin & Rajendran, Srinivasulu & Nenguwo, Ngoni & Afari-Sefa, Victor & Broring, Stefanie, 2018. "Adoption behavior of market traders: an analysis based on Technology Acceptance Model and Theory of Planned Behavior," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 21(6), July.
    13. Taneja, Shilpa & Ali, Liaqat, 2021. "Determinants of customers’ intentions towards environmentally sustainable banking: Testing the structural model," Journal of Retailing and Consumer Services, Elsevier, vol. 59(C).
    14. Donglin Han & Huiying (Cynthia) Hou & Hao Wu & Joseph H. K. Lai, 2021. "Modelling Tourists’ Acceptance of Hotel Experience-Enhancement Smart Technologies," Sustainability, MDPI, vol. 13(8), pages 1-19, April.
    15. Giao, Ha Nam Khanh & Tuan, Huynh Quoc, 2021. "Intention To Buy Air Ticket Online Of Vietnamese Consumers," OSF Preprints 867s5, Center for Open Science.
    16. Nripendra P. Rana & Yogesh K. Dwivedi & Banita Lal & Michael D. Williams & Marc Clement, 2017. "Citizens’ adoption of an electronic government system: towards a unified view," Information Systems Frontiers, Springer, vol. 19(3), pages 549-568, June.
    17. Wong Lai Soon & Bobby Chai Boon Hui & Wong Kee Luen, 2013. "Joining the New Band: Factors Triggering the Intentions of Malaysian College and University Students to Adopt 4G Broadband," Information Management and Business Review, AMH International, vol. 5(2), pages 58-65.
    18. Kathrin Dudenhöffer, 2013. "Why electric vehicles failed," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 24(2), pages 95-124, July.
    19. Mohd Azhar & Ruksar Ali & Sheeba Hamid & Mohd Junaid Akhtar & Mohd Nayyer Rahman, 2022. "Demystifying the effect of social media eWOM on revisit intention post-COVID-19: an extension of theory of planned behavior," Future Business Journal, Springer, vol. 8(1), pages 1-16, December.
    20. Abdul Waheed Siyal & Ding Donghong & Waheed Ali Umrani & Saeed Siyal & Shaharbano Bhand, 2019. "Predicting Mobile Banking Acceptance and Loyalty in Chinese Bank Customers," SAGE Open, , vol. 9(2), pages 21582440198, April.

    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:pal:jofsma:v:27:y:2022:i:3:d:10.1057_s41264-021-00112-1. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.palgrave.com .

    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.