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The FinTech Evolution and Its Effect on Traditional Banking in Africa—A Case of Zambia

DOI: 10.4236/ojbm.2021.92043, PP. 838-850

Keywords: Financial Technology, Adoption, Diffusion of Innovation, Mobile Money

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Abstract:

The popularization of FinTechs has sparked new competition for banks as FinTechs are said to be more convenient, efficient and faster unlike bureaucratic requirements of financial institutions such as banks. The aim of this study was to assess the factors leading to adoption of FinTech financial services and how this affects traditional banking in Zambia. The objectives of the study were to evaluate factors influencing the adoption of FinTech financial services and to develop strategies that can help banks to remain relevant and competitive. The study adopted a quantitative research approach to collect data through self-administered questionnaires. The sample size was arrived at using the Cochran formula. The respondents were selected based on a convenient sampling technique which is a non-probability sampling method. The study adopted the diffusion of innovation theory whose variables were used to come up with hypotheses. The data collected through the questionnaires was analyzed using Pearson Correlation and the SPSS software. Results indicated a strong positive correlation of 0.450 between relative advantage and adoption. Further, the study shows that there is a strong positive correlation of 0.621 between Compatibility and Adoption. The study proposes a revised model that shows factors affecting adoption of an innovation that might help banks.

References

[1]  Aliaga, M., & Gunderson, B. (2002). Interactive Statistics. Thousand Oaks, CA: Sage.
[2]  Arner, D. W., Barberis, J., & Buckley, R. P. (2015). The Evolution of FinTech: A New Post-Crisis Paradigm? Research Paper No. 2015/047, Hong Kong: University of Hong Kong, Faculty of Law.
https://dx.doi.org/10.2139/ssrn.2676553
[3]  Berges, A., Guillen, M., Moreno, J., & Ontiveros, E. (2014). A New Era in Banking. The Landscape after the Battle. Brookline, MA: Bibliomotion.
[4]  Bruijn, M., Butter, I., & Fall, A. (2017). An Ethnographic Study on Mobile Money Attitudes, Perceptions and Usages in Cameroon, Congo DRC, Senegal and Zambia. Report No. 128221, Washington DC: World Bank Group.
[5]  Brynjolfsson, E., & Hitt, L. M. (2000). Beyond Computation: Information Technology, Organizational Transformation and Business Performance. The Journal of Economic Perspectives, 14, 23-48.
https://doi.org/10.1257/jep.14.4.23
[6]  Cochran, W. G. (1963). Sampling Techniques (2nd ed.). New York, NY: John Wiley and Sons, Inc.
[7]  Conner, K. R. (1991). A Historical Comparison of Resource-Based Theory and Five Schools of Thought Within Industrial Organization Economics: Do We Have a New Theory of the Firm? Journal of Management, 17, 121-154.
https://doi.org/10.1177/014920639101700109
[8]  Daka, G., & Phiri, J. (2019). Factors Driving the Adoption of E-Banking Services Based on the UTAUT Model. International Journal of Business and Management, 14, 43-52.
https://doi.org/10.5539/ijbm.v14n6p43
[9]  Dorfleitner, G., Hornuf, L., Schmitt, M., & Weber, M. (2017). The FinTech Market in Germany. Berlin: Springer.
[10]  Dulle, W. F., & Majanja, M. K. (2011). The Suitability of the Unified Theory of Acceptance and Use of Technology (UTAUT) Model in Open Access Adoption Studies. Information Development, 27, 32-45.
https://doi.org/10.1177/0266666910385375
[11]  Flejterski, S., & Labun, J. (2016). The Banking Industry and Digital Innovation: In Search of New Business Models and Channels. European Journal of Service Management, 20, 5-15.
https://doi.org/10.18276/ejsm.2016.20-01
[12]  Gu, J. C., Lee, S. C., & Suh, Y. H. (2009). Determinants of Behavioral Intention to Mobile Banking. Expert Systems with Applications, 36, 11605-11616.
https://doi.org/10.1016/j.eswa.2009.03.024
[13]  Macey, J. R., & O’Hara, M. (2016). Bank Corporate Governance: A Proposal for the Post-Crisis World. Economic Policy Review, 85-105.
[14]  Muijs, D. (2004). Doing Quantitative Research in Education with SPSS. London; Thousand Oaks, CA; New Delhi: Sage Publications.
https://doi.org/10.18276/ejsm.2016.20-01
[15]  Rogers, E. M. (1995). Diffusion of Innovations (4th ed.). New York, NY: Free Press.
https://doi.org/10.4135/9781849209014
[16]  Sakala, L., & Phiri, J. (2019). Factors Affecting Adoption and Use of Mobile Banking Services in Zambia Based on TAM Model. Open Journal of Business, 7, 1380-1394.
https://doi.org/10.4236/ojbm.2019.73095
[17]  Saunders, M. L. (2012). Research Methods for Business Students (6th ed.). Harlow: Pearson Education Limited.
[18]  Schreiber, T., & Vrielink, T. (2019). The Emergence of FinTech—How Do Established Banks in the Nordics React to the Threat of FinTech Disruption?
[19]  Temelkov, Z. (2018). Fintech Firms Opportunity or Threat for Banks? International Journal of Information, Business and Management, 10, 138-144.
[20]  Wani, T. A., & Ali, S. W. (2015). Innovation Diffusion Theory Review & Scope in the Study of Adoption of Smartphones in India. Journal of General Management Research, 3, 101-118.
[21]  Yousafzai, S. (2012). A Literature Review of Theoretical Models of Internet Banking Adoption at the Individual Level. Journal of Financial Services Marketing, 17, 215-226.
https://doi.org/10.1057/fsm.2012.19

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