IDEAS home Printed from https://ideas.repec.org/p/osf/osfxxx/h76k8.html
   My bibliography  Save this paper

Navigating Digital Inequality: Examining Factors Affecting Rural Customers’ Internet Banking Adoption in Post-COVID Bangladesh

Author

Listed:
  • Abu Sayed Toyon, Mohammad

Abstract

As the world continues to navigate the new normal brought about by the COVID-19 pandemic, one issue that has come to the forefront is digital inequality. In Bangladesh, where a significant portion of the population resides in rural areas, the adoption of internet banking has been hindered by various factors. However, understanding these factors is crucial, especially now that digital transactions have become more important. This study aims to understand the factors influencing the adoption of internet banking services among rural customers in Bangladesh. To acquire data, a questionnaire was administered to 443 rural bank customers in the district of Barisal. The Exploratory Factor Analysis (EFA) revealed three primary factors: trust compatibility, service benefit, and access to consumer education. In addition, the research sought to determine if the identified factors, particularly access to consumer education, varied according to the occupation and income level of rural consumers. Using exhaustive Chi-squared Automatic Interaction Detection (CHAID) analysis, the findings revealed that access to consumer education differs significantly by occupation level, with business and service holders being more likely than farmers to have access to consumer education. This research contributes to the literature by providing insights into the adoption of internet banking by rural customers and informing policymakers about the special needs of this demographic.

Suggested Citation

  • Abu Sayed Toyon, Mohammad, 2023. "Navigating Digital Inequality: Examining Factors Affecting Rural Customers’ Internet Banking Adoption in Post-COVID Bangladesh," OSF Preprints h76k8, Center for Open Science.
    • Handle: RePEc:osf:osfxxx:h76k8
    DOI: 10.31219/osf.io/h76k8
    as

    Download full text from publisher

    File URL: https://osf.io/download/6474d12685df480336776199/
    Download Restriction: no
    File URL: https://libkey.io/10.31219/osf.io/h76k8?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. repec:eme:mrn000:01409170610645411 is not listed on IDEAS
    2. 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.
    Full references (including those not matched with items on IDEAS)

    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. Francisco Liébana-Cabanillas & Nidhi Singh & Zoran Kalinic & Elena Carvajal-Trujillo, 2021. "Examining the determinants of continuance intention to use and the moderating effect of the gender and age of users of NFC mobile payments: a multi-analytical approach," Information Technology and Management, Springer, vol. 22(2), pages 133-161, June.
    2. Pan, Jing Yu & Liu, Dahai, 2022. "Mask-wearing intentions on airplanes during COVID-19 – Application of theory of planned behavior model," Transport Policy, Elsevier, vol. 119(C), pages 32-44.
    3. Hasan, Rajibul & Lowe, Ben & Petrovici, Dan, 2020. "Consumer adoption of pro-poor service innovations in subsistence marketplaces," Journal of Business Research, Elsevier, vol. 121(C), pages 461-475.
    4. Paul-Emmanuel Pichon & Denis Bories & Christian Laborde, 2023. "The determinants of the adoption of cryptocurrencies in the tourism industry : Application to the case of hotel room reservations [Les déterminants de l'adoption des cryptomonnaies : application au," Post-Print hal-04398288, HAL.
    5. Joey F George & Rui Chen & Lingyao Yuan, 2021. "Intent to purchase IoT home security devices: Fear vs privacy," PLOS ONE, Public Library of Science, vol. 16(9), pages 1-14, September.
    6. 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.
    7. Chen, Shih-Chih & Hung, Chung-Wen, 2016. "Elucidating the factors influencing the acceptance of green products: An extension of theory of planned behavior," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 155-163.
    8. Chuhan Chen & Syarmila Hany Haron, 2023. "The Influence of Multistakeholder Value Cognition and Risk Attitudes on Sustainable Interior Landscape Design Decisions," Sustainability, MDPI, vol. 15(3), pages 1-22, February.
    9. Hoon S. Choi & Darrell Carpenter & Myung S. Ko, 2022. "Risk Taking Behaviors Using Public Wi-Fi™," Information Systems Frontiers, Springer, vol. 24(3), pages 965-982, June.
    10. Venkatesh, Viswanath & Maruping, Likoebe M. & Brown, Susan A., 2006. "Role of time in self-prediction of behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 100(2), pages 160-176, July.
    11. 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.
    12. Borhan, Muhamad Nazri & Ibrahim, Ahmad Nazrul Hakimi & Miskeen, Manssour A. Abdulasalm, 2019. "Extending the theory of planned behaviour to predict the intention to take the new high-speed rail for intercity travel in Libya: Assessment of the influence of novelty seeking, trust and external inf," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 373-384.
    13. Javad Shahreki & Jaya Ganesan & Kavitha Raman & Audrey Lim Li Chin & Tee Suan Chin, 2019. "The effect of human resource information system application on employee satisfaction and turnover intention," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 7(2), pages 1462-1479, December.
    14. Pakvalit Kurkoon & Daranee Pimchangthong & Veera Boonjing, 2015. "A Conceptual Framework for Individual Green Information Technology Consumption and its Impact," Journal of Business & Management (COES&RJ-JBM), , vol. 3(3), pages 388-396, July.
    15. Fernanda Leão Ramos & Jorge Brantes Ferreira & Angilberto Sabino de Freitas & Juliana Werneck Rodrigues, 2018. "The Effect of Trust in the Intention to Use m-banking," Brazilian Business Review, Fucape Business School, vol. 15(2), pages 175-191, March.
    16. Nistor, Cristian, 2013. "A conceptual model for the use of social media in companies," MPRA Paper 44224, University Library of Munich, Germany.
    17. 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).
    18. 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.
    19. 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.
    20. Francisco Rejón-Guardia & Juán Sánchez-Fernández & Francisco Muñoz-Leiva, 2011. "Motivational Factors that influence the Acceptance of Microblogging Social Networks: The µBAM Model," FEG Working Paper Series 06/11, Faculty of Economics and Business (University of Granada).

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:osf:osfxxx:h76k8. 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: OSF (email available below). General contact details of provider: https://osf.io/preprints/ .

    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.