Challenges, Benefits, and Adoption Dynamics of Mobile Banking at the Base of the Pyramid (BOP) in Africa: A Systematic Review
DOI:
https://doi.org/10.23962/10539/26113Keywords:
mobile banking, financial inclusion, base of the pyramid (BOP), Africa, PRISMA (preferred reporting items for systematic reviews and meta-analyses), challenges, benefits, adoption dynamics, technology acceptance model (TAM), unified theory of acceptance and use of technology (UTAUT)Abstract
Increased mobile penetration in Africa offers great potential to accelerate financial inclusion through increased adoption of mobile banking by people at the base of the pyramid (BOP) on the continent. This article provides results from a systematic review of existing research findings on the challenges, benefits and adoption dynamics of mobile banking at the BOP in Africa. The systematic review, which followed PRISMA (preferred reporting items for systematic reviews and meta-analyses) guidelines, identifies the following key challenges for mobile banking diffusion at the BOP on the continent: poor mobile connectivity; lack of awareness of mobile banking services; illiteracy; poverty; lack of trust due to perceived security risks; legal and regulatory frameworks; and cultural factors. Based on analysis of these challenges, and of the benefits and adoption dynamics also identified, the article provides recommendations for how mobile banking services can be more sustainably implemented for the benefit of people at the BOP in Africa.
References
Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. In J. Kuhl, & J. Beckmann (Eds.), Action control (pp. 11-39). Berlin: Springer. https://doi.org/10.1007/978-3-642-69746-3_2
Alafeef, M., Singh, D., & Ahmad, K. (2012). The influence of demographic factors and user interface on mobile banking adoption: A review. Journal of Applied Sciences, 12(20), 2082–2095. https://doi.org/10.3923/jas.2012.2082.2095
Ammar, A., & Ahmed, E. M. (2016). Factors influencing Sudanese microfinance intention to adopt mobile banking. Cogent Business C Management, 3(1), 1–20. https://doi.org/10.1080/23311975.2016.1154257
Asongu, S. A. (2018). Conditional determinants of mobile phones penetration and mobile banking in Sub-Saharan Africa. Journal of the Knowledge Economy, 9(1), 81–135. https://doi.org/10.1007/s13132-015-0322-z
Bankole, O., & Cloete, E. (2011). Mobile banking: A comparative study of South Africa and Nigeria. Paper presented at IEEE Africon ‘11, Livingstone, Zambia. https://doi.org/10.1109/AFRCON.2011.6072178
Baptista, G., & Oliveira, T. (2015). Understanding mobile banking: The unified theory of acceptance and use of technology combined with cultural moderators. Computers in Human Behavior, 50, 418–430. https://doi.org/10.1016/j.chb.2015.04.024
Beck, T., & Cull, R. (2013). Banking in Africa. Policy Research Working Paper 6684. Washington, DC: World Bank. https://doi.org/10.1596/1813-9450-6684
Baumol, W. J., Panzar, J. C., & Willig, R. D. (1982). Contestable markets and the theory of industry structure. San Diego. CA: Harcourt Brace Jovanovich.
Brown, I., Cajee, Z., Davies, D., & Stroebel, S. (2003). Cell phone banking: Predictors of adoption in South Africa - an exploratory study. International Journal of Information Management, 23(5), 381–394. https://doi.org/10.1016/S0268-4012(03)00065-3
Chavan, J. (2013). Internet banking - benefits and challenges in an emerging economy.
International Journal of Research in Business Management, 1(1), 19–26.
Chukwumah, S. (2017). Adoption of mobile banking in rural Nigeria. Master’s thesis, University of Turku, Finland.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
Demirgüç-Kunt, A., Klapper, L., Singer, D., Ansar. S., & Hess, J. (2017). Global findex database 2017: Measuring financial inclusion and the fintech revolution. Washington, DC: World Bank. https://doi.org/10.1596/978-1-4648-1259-0
DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: A ten-year update. Journal of Management Information Systems, 19(4), 9–30. https://doi.org/10.1080/07421222.2003.1104574.8
Gebauer, J., & Shaw, M. J. (2004). Success factors and impacts of mobile business applications: Results from a mobile e-procurement study. International Journal of Electronic Commerce, 8(3), 19–41. https://doi.org/10.1080/10864415.2004.11044304
Goodhue, D. L., & Thompson, R. L. (1995). Task-technology fit and individual performance. MIS Quarterly, 19(2), 213–236. https://doi.org/10.2307/249689
GSM Association (GSMA). (2016). The mobile economy: Africa 2016. London: GSMA. GSMA. (2018a). The mobile economy 2018. London: GSMA.
GSMA. (2018b). The mobile economy: Sub-Saharan Africa 2018. London: GSMA. Retrieved from https://www.gsma.com/mobileeconomy/sub-saharan-africa
GSMA. (2018c). The mobile economy: West Africa 2018. London: GSMA. Retrieved from https://www.gsma.com/mobileeconomy/west-africa/
GSMA. (2018d). The mobile economy: Middle East and North Africa 2018. London: GSMA. Retrieved https://www.gsma.com/mobileeconomy/mena/
Gu, J.-C., Lee, S.-C., & Suh, Y.-H. (2009). Determinants of behavioral intention to mobile banking. Expert Systems with Applications, 36(9), 11605–11616. https://doi.org/10.1016/j.eswa.2009.03.024
Hinson, R. E. (2011). Banking the poor: The role of mobiles. Journal of Financial Services Marketing, 15(4), 320–333. https://doi.org/10.1057/fsm.2010.29
Im, I., Hong, S., & Kang, M. S. (2011). An international comparison of technology adoption: Testing the UTAUT model. Information C Management, 48(1), 1–8. https://doi.org/10.1016/j.im.2010.09.001
Internet World Stats. (2018). The internet big picture: World internet users and 2018 population stats. Retrieved from https://www.internetworldstats.com/stats.htm
Ivatury, G., & Mas, I. (2008). The early experience with branchless banking. Focus Note 46. Washington, DC: CGAP.
Jolliffe, I. T. (2002). Principal component analysis (2nd ed.). New York: Springer. https://doi.org/10.1007/b98835
Kemp, S. (2017). Digital in 2017: Global overview. We Are Social and Hootsuite. Retrieved from https://wearesocial.com/special-reports/digital-in-2017-global-overview
Kemp, S. (2018). Digital in 2018. We Are Social and Hootsuite. Retrieved from https://hootsuite.com/pages/digital-in-2018
Kopala, M. R. (2010). Mobile banking: A tool of financial inclusion for India. SSRN. http://dx.doi.org/10.2139/ssrn.1674328
Lee, K. C., & Chung, N. (2009). Understanding factors affecting trust in and satisfaction with mobile banking in Korea: A modified DeLone and McLean’s model perspective. Interacting with Computers, 21(5-6), 385–392. https://doi.org/10.1016/j.intcom.2009.06.004
Mago, S., & Chitokwindo, S. (2014). The impact of mobile banking on financial inclusion in Zimbabwe: A case for Masvingo Province. Mediterranean Journal of Social Sciences, 5(9), 221–230. https://doi.org/10.5901/mjss.2014.v5n9p221
Majchrzak, A., Rice, R. E., Malhotra, A., King, N., & Ba, S. (2000). Technology adaptation: The case of a computer-supported inter-organizational virtual team. MIS Quarterly, 24(4), 569–600. https://doi.org/10.2307/3250948
Mallat, N., Rossi, M., & Tuunainen, V. K. (2004). Mobile banking services. Communications of the ACM, 47(5), 42–46. https://doi.org/10.1145/986213.986236
Mbiti, I., & Weil, D. N. (2011). Mobile banking: The impact of M-Pesa in Kenya. Cambridge, MA: National Bureau of Economic Research. https://doi.org/10.3386/w17129
Mlitwa, N. B. W., & Tshetsha, N. (2012). Adoption of cell-phone banking among low-income communities in rural areas of South Africa. iBusiness 4(4), 362–370. https://doi.org/10.4236/ib.2012.44045
Moher, D., Liberati, A., Tetzlaff, J., & Altman, D. G. (2009). Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. Annals of Internal Medicine, 151(4), 264–269. https://doi.org/10.7326/0003-4819-151-4-200908180-00135
Moore, G. C., & Benbasat, I. (1991). Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research, 2(3), 192–222. https://doi.org/10.1287/isre.2.3.192
Morawczynski, O. (2009). Exploring the usage and impact of “transformational” mobile financial services: The case of M-PESA in Kenya. Journal of Eastern African Studies, 3(3), 509–525. https://doi.org/10.1080/17531050903273768
Mtambalika, A., Manda, T. D., Gombachika, H., & Kunyenje, G. (2016). Branchless banking in rural Malawi: Potential customers’ perspective on bank-led mobile banking. In P. Cunningham & M. Cunningham (Eds.), IST-Africa 2016 conference proceedings. https://doi.org/10.1109/ISTAFRICA.2016.7530701
Nasri, W., & Charfeddine, L. (2012). Factors affecting the adoption of Internet banking in Tunisia: An integration theory of acceptance model and theory of planned behavior. The Journal of High Technology Management Research, 23(1), 1–14. https://doi.org/10.1016/j.hitech.2012.03.001
Oliveira, T., Faria, M., Thomas, M. A., & Popovič, A. (2014). Extending the understanding of mobile banking adoption: When UTAUT meets TTF and ITM. International Journal of Information Management, 34(5), 689–703. https://doi.org/10.1016/j.ijinfomgt.2014.06.004
Porteous, D. (2006). The enabling environment for mobile banking in Africa. For UK Department for International Development (DFID). Retrieved from https://www.microfinancegateway.org/sites/default/files/mfg-en-paper-the-enabling-environment-for-mobile-banking-in-africa-may-2006_0.pdf
Prahalad, C. K. (2006). The fortune at the bottom of the pyramid: Eradicating poverty through profits. Upper Saddle River, NJ: Pearson Education. https://doi.org/10.1111/j.1468-0270.2008.864_4.x
Rammile, N., & Nel, J. (2012). Understanding resistance to cell phone banking adoption through the application of the technology acceptance model (TAM). African Journal of Business Management, 6(1), 86–97. https://doi.org/10.5897/AJBM11.635
Rogers, E. (1995). Diffusion of innovations: Modifications of a model for telecommunications (4th ed.). New York: Free Press. https://doi.org/10.1007/978-3-642-79868-9_2
Shih, K.-H., Hung, H.-F., & Lin, B. (2010). Assessing user experiences and usage intentions of m-banking service. International Journal of Mobile Communications, 8(3), 257–277. https://doi.org/10.1504/IJMC.2010.032974
Shih, Y.-Y., & Fang, K. (2004). The use of a decomposed theory of planned behavior to study internet banking in Taiwan. Internet Research, 14(3), 213–223. https://doi.org/10.1108/10662240410542643
Shrivastava, P. (2010). Build it – will they come? A study of the adoption of mobile financial services by low income clients in South Africa. Journal of Electronic Commerce in Organizations ( JECO), 8(3), 1–14. https://doi.org/10.4018/jeco.2010070101
Tchouassi, G. (2012).Can mobile phones really work to extend banking services to the unbanked? Empirical lessons from selected Sub-Saharan Africa countries. International Journal of Developing Societies, 1(2), 70–81. https://doi.org/10.11634/21681783150489
Tobbin, P. (2012). Towards a model of adoption in mobile banking by the unbanked: A qualitative study. info, 14(5), 74–88. https://doi.org/10.1108/14636691211256313
Tornatzky, L. G., Fleischer, M., & Chakrabarti, A. K. (1990). The processes of technological innovation. Lanham, MD: Lexington Books, Rowman and Littlefield.
Van der Boor, P., Oliveira, P., & Veloso, F. (2014). Users as innovators in developing countries: The global sources of innovation and diffusion in mobile banking services. Research Policy, 43(9), 1594–1607. https://doi.org/10.1016/j.respol.2014.05.003
Van der Wansem, S. (2013). Financial inclusion: Banking on mobile phones? Master’s dissertation, Wageningen University, The Netherlands. Retrieved from http://edepot.wur.nl/317936(871108-928040)
Van Deventer, M., De Klerk, N., & Bevan-Dye, A. (2017). Influence of perceived integrity and perceived system quality on Generation Y students’ perceived trust in mobile banking in South Africa. Banks and Bank Systems, 12(1), 128–134. http://dx.doi.org/10.21511/bbs.12(1-1).2017.05
Venkatesh, V. (2000). Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information Systems Research, 11(4), 342–365. https://doi.org/10.1287/isre.11.4.342.11872
Venkatesh, V., & Bala, H. (2008). Technology acceptance model 3 and a research agenda on interventions. Decision Sciences, 39(2), 273–315. https://dx.doi.org/10.1111/j.1540-5915.2008.00192.x
Venkatesh, V., & Davis, F. D. (1996). A model of the antecedents of perceived ease of use: Development and test. Decision Sciences, 27(3), 451–481. https://doi.org/10.1111/j.1540-5915.1996.tb00860.x
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478. http://dx.doi.org/10.2307/30036540
World Bank. (n.d.). Financial inclusion. Retrieved from https://www.worldbank.org/en/topic/financialinclusion
World Bank (2016). Poverty and shared prosperity 2016. Retrieved from http://www.worldbank.org/en/publication/poverty-and-shared-prosperity
World Bank. (2012). Information and communications for development 2012: Maximizing mobile. https://doi.org/10.1596/978-0-8213-8991-1
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. Retrieved from http://www.jecr.org/sites/default/files/13_3_p01_0.pdf
Zhou, T., Lu, Y., & Wang, B. (2010). Integrating TTF and UTAUT to explain mobile banking user adoption. Computers in Human Behavior, 26(4), 760–767. https://doi.org/10.1016/j.chb.2010.01.013
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