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Banking access for the poor: Adoption and strategies in rural areas of Bangladesh

Author

Listed:
  • Mohammad Anisur Rahman

    (Department of Logistics Management and e-Commerce, Glorious Sun School of Business and Management, Donghua University, Shanghai, China. Department of Management Information Systems, University of Dhaka, Bangladesh.)

  • Xu Qi

    (Department of Logistics Management and e-Commerce, Glorious Sun School of Business and Management, Donghua University, Shanghai, China.)

  • Md. Tariqul Islam

    (Department of Business Administration, BGMEA University of Fashion & Technology(BUFT), Dhaka, Bangladesh.)

Abstract

The progress of Mobile Banking (M-banking) is unsatisfactory in terms of achieving a key objective, i.e. to reach the inaccessible unbanked customers at an affordable cost for financial inclusion. We identify the causes to this problem through the investigating the factors affecting the adoption of m-banking in remote areas of Bangladesh using a 236 primary sample of m-bank customers from seven geographical locations and across professions. We document a positive effect of perceived ease of use, trusts, and perceived usefulness, and a negative effect of user interface on adopting m-banking in rural Bangladesh. our findings provides significant policy implications for policy planners and the bank managers to enrich their policies and strategies for promoting financial inclusion as well as successful banking business in rural of Bangladesh.

Suggested Citation

  • Mohammad Anisur Rahman & Xu Qi & Md. Tariqul Islam, 2016. "Banking access for the poor: Adoption and strategies in rural areas of Bangladesh," Journal of Economic and Financial Studies (JEFS), LAR Center Press, vol. 4(3), pages 1-10, June.
  • Handle: RePEc:lrc:lareco:v:4:y:2016:i:3:p:1-10
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    References listed on IDEAS

    as
    1. Perkins, Ed-Zilla Daniel & Annan, Jonathan, 2013. "Factors affecting the Adoption of Online Banking in Ghana: Implications for Bank Managers," International Journal of Business and Social Research, MIR Center for Socio-Economic Research, vol. 3(6), pages 94-108, June.
    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. Abdul Kabeer Kazi & Muhammad Adeel Mannan, 2013. "Factors affecting adoption of mobile banking in Pakistan: Empirical Evidence," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 2(3), pages 54-61, July.
    4. Isaac Mbiti & David N. Weil, 2015. "Mobile Banking: The Impact of M-Pesa in Kenya," NBER Chapters, in: African Successes, Volume III: Modernization and Development, pages 247-293, National Bureau of Economic Research, Inc.
    5. Michael Chibba, 2009. "Financial Inclusion, Poverty Reduction and the Millennium Development Goals," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 21(2), pages 213-230, April.
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    More about this item

    Keywords

    Adoption; Bangladesh; Mobile banking; Rural; Strategies.;
    All these keywords.

    JEL classification:

    • G29 - Financial Economics - - Financial Institutions and Services - - - Other
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software

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