Factors affecting adoption of mobile banking in Pakistan
Abdul Kabeer Kazi · Mohammad Adeel Mannan
International Journal of Research in Business and Social Science · 2013 · Vol. 2 / Issue 3 · 54-61
Publication metrics
External links open provider records or DOI searches. Provider counts are not combined. Mendeley readership measures saves, not citations.
Dimensions
Live provider badge. If unavailable, use the Dimensions link above.
Observed 21 Oct 2026, 07:22 UTC
Observed 22 Oct 2026 02:34 UTC
Observed 22 Oct 2026 02:34 UTC
OpenAlex and Mendeley observations refresh on article visits, at most once per 24 hours. Unavailable data is not zero. Google Scholar opens a DOI search.
Citations received by this article, grouped by the year of the citing work. Crossref and OpenAlex lifetime totals remain separate in Publication metrics.
2017–2026 Annual history last updated:
Citations received
OpenAlex · year of the citing work
Hover over a year or focus the chart and use arrow keys to inspect values.
2017–2026 annual-history window. 2026 is year to date. Unknown years have gaps.
View data & coverage
2026 is incomplete. Within a successfully fetched ten-year window, omitted years mean zero. Years beyond a saved observation’s window remain unknown (—). Older citations are excluded, so this chart’s sum may differ from the OpenAlex lifetime total. The date above belongs to this annual history; an unsuccessful refresh keeps the previous observation.
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.
Keywords: {'name': 'Mobil Banking'}, {'name': 'Technology'}, {'name': 'Social Influence'}, {'name': 'Perceived Risk'}
Authors & affiliations
Abdul Kabeer Kazi
Affiliation not supplied
Mohammad Adeel Mannan
Affiliation not supplied
Deposited references
Supplied references, not a list of publications citing this article.
Al-Jabri, I. M., and Sohail, M. S. (2012). Mobile banking adoption: Application of Diffusion of Innovation Theory. Journal of Electronic Commerce Research, 13(4), 379-391.
DOI: 10.1108/02634501211231928
Amin, H., Baba, R., and Muhammad, M. Z. (2007). An analysis of mobile banking acceptance by Malaysian customers. Sunway University College Academic Journal, 4, 1-12.
Attaa, A. (2012). Mobile Subscribers in Pakistan Reach 120.5 Million, http://propakistani.pk/2012/12/05/mobile-subscribers-in-pakistan-reach-120-5-million/ (Accessed on December 6, 2012)
DOI: 10.2307/4132332
CGAP, (2011). Branchless Banking in Pakistan: A Laboratory for Innovation,
http://cdn4.propakistani.pk/wp-content/uploads/2011/10/Mobile_Banking_Brief_Pakistan.pdf (Accessed on July 15, 2012)
CGAP, (2006). Mobile Phone Banking and Low-Income Customers: Evidence from South Africa, http://www.globalproblems-globalsolutionsfiles.org (Accessed on August 1, 2012)
Cheah, C. M., Teo, A. C., Sim, J. J., Oon, K. H., and Tan, B. I. (2011). Factors Affecting Malaysian Mobile Banking Adoption: An Empirical Analysis. International Journal of Network and Mobile Technologies, 2(3), 149-160.
Chitungo, S. K., and Munongo, S. (2013). Extending the Technology Acceptance Model to Mobile Banking Adoption in Rural Zimbabwe. Journal of Business Administration and Education, 3(1), 51-79.
DOI: 10.1089/cpb.2009.0014
Cooper, D. R., and Schindler, P. S. (2011). Business Research Methods. (11th Ed.) Boston, McGraw-Hill.
DOI: 10.2307/249008
Dineshwar, R., and Steven, M. (2013). An Investigation on Mobile Banking Adoption and Usage: A Case Study of Mauritius. Proceedings of 3rd Asia-Pacific Business Research Conference 25 - 26 February 2013, Kuala Lumpur, Malaysia, ISBN: 978-1-922069-19-1
DOI: 10.1016/S0148-2963(01)00273-9
GSMA, (2009). Mobile Money for the Unbanked Annual report 2009. http://www.gsmworld.com/documents/mmu_2009_annual_report.pdf (Accessed on March 10, 2012)
DOI: 10.1016/j.eswa.2009.03.024
DOI: 10.1016/j.jbusres.2008.06.016
Hair, J. F. Jr., Anderson, R., Tatham, R., and Black, W. C. (2005). Multivariate Data Analysis. Upper Saddle River, NJ, Prentice Hall.
DOI: 10.1108/10662240810897817
DOI: 10.1016/j.tourman.2007.05.016
DOI: 10.1108/17410390810851372
DOI: 10.1016/j.chb.2004.03.003
Lee, K.S., Lee, H.S., and Kim, S.Y. (2007). Factors influencing the adoption behavior of mobile banking: a South Korean perspective. Journal of Internet Banking and Commerce, 12(2).
DOI: 10.1108/02635571011030006
Lule, I., Omwansa, T. K., and Waema, T. M. (2012). Application of Technology Acceptance Model (TAM) in M-Banking Adoption in Kenya. International Journal of Computing and ICT Research, 6(1), 31-43.
DOI: 10.1016/j.dss.2010.02.008
Mahmood, M. (2011). Branchless Banking in Pakistan – Opportunistic View, http://propakistani.pk/2011/12/07/branchless-banking-in-pakistan-opportunistic-view/ (Accessed on August 4, 2012)
Mobile Banking Accounts Reach 1.4 Million in Pakistan. (2013). Retrieved from:
http://pakzindabad.com/2013/04/13/mobile-banking-accounts-reach-1-4-million-in-pakistan/
Nunnally, J. C. and Bernstein, I. H. (1994). Psychometric theory. New York, McGraw-Hill.
Pavlou, P.A. (2001). Integrating Trust in Electronic Commerce with the Technology Acceptance Model: Model Development and Validation. Proceedings of Seventh Americas Conference on Information Systems (AMCIS)
DOI: 10.1108/02652321011064908
DOI: 10.1108/02652321011064872
DOI: 10.7763/IJEEEE.2011.V1.36
DOI: 10.1016/j.im.2006.10.007
Singh, S., Srivastava, V., and Srivastava, R. K. (2010). Customer acceptance of mobile banking: A conceptual framework. SIES Journal of Management, 7(1), 55-64.
Sripalawat, J., Thongmak, M., and Ngramyarn, A. (2011). M-banking in metropolitan Bangkok and a comparison with other countries. The Journal of Computer Information Systems, 51(3), 67-76.
DOI: 10.5121/ijngn.2010.2206
DOI: 10.17705/1jais.00005
DOI: 10.1287/mnsc.46.2.186.11926
DOI: 10.2307/30036540
DOI: 10.1016/S0166-4972(03)00130-5
Yu, C-S. (2012). Factors affecting individuals to adopt mobile banking: empirical evidence from the UTAUT Model. Journal of Electronic Commerce Research, 13(2), 104-121.