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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. Nistor, Cristian, 2013. "A conceptual model for the use of social media in companies," MPRA Paper 44224, University Library of Munich, Germany.
    6. 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).
    7. 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.
    8. 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.
    9. Arghya Ray & Muskan Jain & Lan Ma & Khalid Hussain Alhamzi & Ananya Ray & Long She, 2024. "The impact of personality traits, barriers and gamification on Gen X continuance intention for mobile credit bill payment apps," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 29(3), pages 1154-1174, September.
    10. Meng, Bo & Choi, Kyuhwan, 2016. "The role of authenticity in forming slow tourists' intentions: Developing an extended model of goal-directed behavior," Tourism Management, Elsevier, vol. 57(C), pages 397-410.
    11. Kwon, Ohbyung & Lee, Namyeon & Shin, Bongsik, 2014. "Data quality management, data usage experience and acquisition intention of big data analytics," International Journal of Information Management, Elsevier, vol. 34(3), pages 387-394.
    12. Mei-Fang Chen & Ching-Ti Pan & Ming-Chuan Pan, 2009. "The Joint Moderating Impact of Moral Intensity and Moral Judgment on Consumer’s Use Intention of Pirated Software," Journal of Business Ethics, Springer, vol. 90(3), pages 361-373, December.
    13. 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.
    14. 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.
    15. Ángel Valarezo & Rafael López & Teodosio Pérez-Amaral, 2019. "Adoption of e-commerce by individuals and digital divide: Evidence from Spain," Documentos de Trabajo del ICAE 2019-19, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    16. 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.
    17. Mustofa, Rochman Hadi & Pramudita, Dias Aziz & Atmono, Dwi & Priyankara, Rasika & Asmawan, Mochammad Chairil & Rahmattullah, Muhammad & Mudrikah, Saringatun & Pamungkas, Leonny Noviyana Sakti, 2022. "Exploring educational students acceptance of using movies as economics learning media: PLS-SEM analysis," International Review of Economics Education, Elsevier, vol. 39(C).
    18. Haiyan Kong & Huifang Liu, 2023. "The Relationship between ICT Use and Perceived Life Satisfaction among Older People in Korea: The Mediating Effect of Social Capital," Sustainability, MDPI, vol. 15(12), pages 1-18, June.
    19. Yoo, Chul Woo & Goo, Jahyun & Huang, C. Derrick & Nam, Kichan & Woo, Mina, 2017. "Improving travel decision support satisfaction with smart tourism technologies: A framework of tourist elaboration likelihood and self-efficacy," Technological Forecasting and Social Change, Elsevier, vol. 123(C), pages 330-341.
    20. López, Rafael & Valarezo, Ángel & Pérez-Amaral, Teodosio, 2023. "Unleashing the potential of online learning in Spain: An econometric analysis," Telecommunications Policy, Elsevier, vol. 47(6).

    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.