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Factors affecting adoption of mobile banking in Pakistan: Empirical Evidence

Author

Listed:
  • Abdul Kabeer Kazi

    (Khadim Ali Shah Bukhari Institute of Technology, Karachi, Pakistan)

  • Muhammad Adeel Mannan

    (Khadim Ali Shah Bukhari Institute of Technology, Karachi, Pakistan)

Abstract

In this research paper we investigated the determinants likely to influence the adoption of mobile banking services, with a special focus on under banked/unbanked low-income population of Pakistan. The adoption of mobile banking services has been a strategic goal, both for banks and telcos. For this purpose, Technology Acceptance Model (TAM) was used, with additional determinants of perceived risk and social influence. Data was collected by surveying 372 respondents from the two largest cities (Karachi and Hyderabad) of the province Sindh, in Pakistan using judgement sampling method. This study empirically concluded that consumers’ intention to adopt mobile banking services was significantly influenced by social influence, perceived risk, perceived usefulness, and perceived ease of use. The most significant positive impact was of social influence on consumers’ intention to adopt mobile banking services. The paper concluded with discussion on results, and several business implications for the banking industry of Pakistan.

Suggested Citation

  • 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, Society for the Study of Business & Finance, vol. 2(3), pages 54-61, July.
  • Handle: RePEc:rbs:ijbrss:v:2:y:2013:i:3:p:54-61
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    References listed on IDEAS

    as
    1. Ha, Sejin & Stoel, Leslie, 2009. "Consumer e-shopping acceptance: Antecedents in a technology acceptance model," Journal of Business Research, Elsevier, vol. 62(5), pages 565-571, May.
    2. Forsythe, Sandra M. & Shi, Bo, 2003. "Consumer patronage and risk perceptions in Internet shopping," Journal of Business Research, Elsevier, vol. 56(11), pages 867-875, November.
    3. 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.
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    Cited by:

    1. Simplice A. Asongu, 2018. "Conditional Determinants of Mobile Phones Penetration and Mobile Banking in Sub-Saharan Africa," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 9(1), pages 81-135, March.
    2. repec:eme:ijsepp:ijse-08-2016-0221 is not listed on IDEAS
    3. Simplice Asongu & Ndemaze Asongu, 2018. "The comparative exploration of mobile money services in inclusive development," International Journal of Social Economics, Emerald Group Publishing, vol. 45(1), pages 124-139, January.
    4. Simplice Asongu & Jacinta C. Nwachukwu, 2017. "Comparative human development thresholds for absolute and relative pro-poor mobile banking in developing countries," Working Papers 17/007, African Governance and Development Institute..
    5. 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.

    More about this item

    Keywords

    Mobile banking; technology adoption; social influence; perceived risk; low-income sector; Pakistan;

    JEL classification:

    • G2 - Financial Economics - - Financial Institutions and Services
    • G20 - Financial Economics - - Financial Institutions and Services - - - General
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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