Challenges Affecting the Implementation of Artificial Intelligence Technologies in Zambia's Commercial Banks: Evidence from Zambia National Commercial Bank Plc
DOI:
https://doi.org/10.59413/ajocs/v7.i2.9Keywords:
Artificial Intelligence, Banking Operations, Implementation ChallengesAbstract
The integration of Artificial Intelligence technologies into banking industries has emerged as another transforming trend across different countries worldwide. The integration of Artificial Intelligence technologies into banking industries ensures enhanced bank efficiency and customer satisfaction through data analysis. In Zambia, different commercial banks have embraced Artificial Intelligence technologies. The process of integration, however, has emerged as another challenge. This research aims to identify different challenges affecting the process of Artificial Intelligence technology integration into different commercial banks in Zambia. The research has considered Zambia National Commercial Bank Plc (Zanaco) as a research case. The research applied a pragmatic research approach, collecting primary data from different employees and management of various commercial banks. After analyzing different research articles and conducted research, this research identified major challenges affecting Artificial Intelligence technology integration into Zambia commercial banks. Based on research findings, it can be concluded that different commercial banks and employees are considering limited digital infrastructures, implementation costs, security concerns, and skilled manpower as major problems that are adversely affecting Artificial Intelligence technology integration. Different research findings of this research have major implications for new and developing countries. Emerging countries are currently facing different technology integration challenges.
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References
Abuhasan, F. & Moreb, M. (2021). The impact of the digital transformation on customer experience in Palestine banks. International Conference on Information Technology (ICIT). Available at: https://doi.org/10.1109/ICIT52682.2021.9491744
Ade-Ibijola, A. & Okonkwo, C. (2023). Artificial Intelligence in Africa: Emerging Challenges. In: Eke, D.O., Wakunuma, K. & Akintoye, S. (eds) Responsible AI in Africa: Social and Cultural Studies of Robots and AI. Cham: Palgrave Macmillan. Available at: https://doi.org/10.1007/978-3-031-08215-3_5
Almustafa, E., Assaf, A. & Allahham, M. (2023). Implementation of Artificial Intelligence for Financial Process Innovation of Commercial Banks. REVISTA DE GESTÃO SOCIAL E AMBIENTAL, 17(9)
Arakpogun, E.O., Elsahn, Z., Olan, F. & Elsahn, F. (2021). Artificial intelligence in Africa: challenges and opportunities. Northumbria University
Arner, D.W., Barberis, J. & Buckley, R.P. (2017). Fintech and regtech: Impact on regulators and banks. Journal of Banking Regulation, 19(2), 1–14
Bank of Zambia (2024). Annual Financial Sector Digital Transformation Report 2023. Lusaka: BoZ Publications
Bhandari, P. (2020). What Is Quantitative Research? | Definition, Uses and Methods. [Online] Available at: https://www.scribbr.com/methodology/quantitative-research/ [Accessed 28 June 2024]
Bowen, J.P. (2017). Alan Turing: Founder of Computer Science. In: Engineering Trustworthy Software Systems. Lecture Notes in Computer Science, 1–15. Available at: https://doi.org/10.1007/978-3-319-56841-6_1
Brix, E. & McAfee, A. (2017). Machine, Platform, Crowd: Harnessing Our Digital Future. New York: W.W. Norton and Company
Bughin, J., Seong, J., Manyika, J., Chui, M. & Joshi, R. (2018). Notes from the AI frontier: Modeling the impact of AI on the world economy. McKinsey Global Institute Report, June
Buxmann, P., Diefenbach, H. & Hess, T. (2019). Artificial Intelligence in Banking: Opportunities and Challenges. Wiesbaden: Springer Gabler
Chibesakunda, M. (2021). Zambia National Commercial Bank: Digitization for Growth. [Online] Available at: https://internationalbanker.com/banking/zambia-national-commercial-bank-digitization-for-growth/ [Accessed 29 June 2024]
Chipasha, C. & Tembo, S. (2023). Investigate and evaluate the security measures commonly used in electronic banking transactions in Zambia and possible solutions. International Research Journal of Modernization in Engineering Technology and Science, 5(5)
Chisanga, K. & Kabwe, S. (2022). The role of AI-driven services in Zambia’s banking sector: Case evidence from Lusaka. Zambian Journal of Information Systems, 4(1), 44–59
Crisanto, J.C., Leuterio, C.B., Prenio, J. & Yong, J. (2024). Regulating AI in the financial sector: Recent developments and main challenges. Financial Stability Institute, 63
Daniel, C. (2023). The impact of Artificial Intelligence on modern computer software. Ladoke Akintola University of Technology
Dembo, S.A.-s. & Ali, A. (2024). Integration of AI in the banking sector. BRAC University - BRAC Business School Dhaka Bangladesh. Available at: https://doi.org/10.20944/preprints202409
Demir, S.B. & Pismek, N. (2018). A convergent parallel mixed-methods study of controversial issues in social studies classes: A clash of ideologies. Educational Sciences: Theory and Practice, 18(1), 119–149
Demirgüç-Kunt, A., Klapper, L., Singer, D. & Ansar, S. (2020). The Global Findex Database: Financial Inclusion and Technology 2020. Washington, DC: World Bank
Deloitte (2020). AI in Financial Services: Charting a Path Forward. London: Deloitte Insights
Dhashanamoorthi, B. (2023). Opportunities and challenges of artificial intelligence in banking and financial services. International Journal of Science and Research Archive, 10(2)
Dlamini, T. & Mthembu, M. (2022). Emergent AI applications in Southern Africa’s banking industry. African Journal of Business and Technology, 6(2), 89–104
El-Gohary, H., Abou-Shouk, M. & Hewedi, M. (2021). Customer acceptance of AI chatbots in banking: Evidence from the MENA region. Journal of Retailing and Consumer Services, 63, 102713
Ekwere, P. (2024). The history of Artificial Intelligence: From ancient myths to modern machines, from Turing to tomorrow. [Online] Available at: https://medium.com/@paul.ekwere/the-history-of-artificial-intelligence-from-ancient-myths-to-modern-machines-5d1497b7a621 [Accessed 1 February 2025]
Fares, O.H., Butt, I. & Lee, S.H.M. (2022). Utilization of artificial intelligence in the banking sector: A systematic literature review. Journal of Financial Services Marketing, 28
Forlenza, V. (2023). Artificial Intelligence and Banking Governance. [Online] Available at: https://emildai.eu/artificial-intelligence-and-banking-governance/ [Accessed 19 January 2025]
Fosso Wamba, S., Queiroz, M.M. & Trinchera, L. (2019). Big data analytics and innovation in banking: The moderating role of regulatory environment. Technological Forecasting and Social Change, 147, 430–438
Ghandour, A. (2021). Opportunities and challenges of artificial intelligence in banking: Systematic literature review. TEM Journal, 10(4), 1581–1587
Gyau, E.B. et al., (2024). Transforming banking: Examining the role of AI technology innovation in boosting banks financial performance. International Review of Financial Analysis, 96(B)
Haleem, A. et al., (2022). Artificial intelligence (AI) applications for marketing: A literature-based study. International Journal of Intelligent Networks, 3
Hayes, A. (2024). Descriptive Statistics: Definition, Overview, Types, and Examples. [Online] Available at: https://www.investopedia.com/terms/d/descriptive_statistics.asp [Accessed 07 October 2024]
Heffernan, S. (2021). Modern Banking. 3rd ed. Chichester: Wiley
Iluba, E. & Phiri, J. (2021). The FinTech evolution and its effect on traditional banking in Africa: A case of Zambia. Open Journal of Business and Management, 9, 838–850
Kaur, A. & Tanwar, A. (2024). Adoption potential and challenges of artificial intelligence in banking. In: Sustainable Investments in Green Finance. Available at: https://doi.org/10.4018/978-8-3693-1388-6.ch019
Kaushik, V. & Walsh, C.A. (2019). Pragmatism as a research paradigm and its implications for social work research. Social Sciences, 8(9)
Kazmi, R. (2024). The role of artificial intelligence in banking. [Online] Available at: https://www.koombea.com/blog/artificial-intelligence-in-banking/ [Accessed 28 June 2024]
Khadka, A. (2023). The impact of digital transformation on customer experience in the UK banking sector: A case study of Lloyds Bank. University College Birmingham
Kgoale, T.J. & Odeku, K. (2023). An analysis of legal accountability for artificial intelligence systems in the South African financial sector. De Jure Law Journal, 56(1), 191–205
Königstorfer, F. & Thalmann, S. (2020). Applications of artificial intelligence in commercial banks: A research agenda for behavioral finance. Journal of Behavioral and Experimental Finance, 27
KPMG South Africa (2024). Southern Africa Banking Survey: Vision 2030. South Africa: KPMG South Africa
Lazo, M. & Ebardo, R. (2023). Artificial Intelligence Adoption in the Banking Industry: Current State and Future Prospect. Journal of Innovation Management, 11(3)
Lishomwa, L. & Phiri, J. (2020). Adoption of Internet Banking Services by Corporate Customers for Forex Transactions Based on the TRA Model. Open Journal of Business and Management, 8, 329–345
London Intercultural Academy (2024). The Story of ELIZA: The AI That Fooled the World. [Online] Available at: https://liacademy.co.uk/the-story-of-eliza-the-ai-that-fooled-the-world/ [Accessed 2 February 2025]
Luisa, K., Nico, W. & Roman, B. (2019). Artificial Intelligence for the Financial Services Industry: What Challenges Organizations to Succeed. Hawaii International Conference on System Sciences 2019. Available at: http://hdl.handle.net/10125/60075
Lutkevich, B. (2024). AI winter. [Online] Available at: https://www.techtarget.com/searchenterpriseai/definition/AI-winter [Accessed 3 February 2025]
Makore, S.T.M. (2024). Regulating Artificial Intelligence to Advance Financial Inclusion in South Africa. Potchefstroom Electronic Law Journal/Potchefstroom Elektroniese Regsblad, 27(1)
Makumba, L. & Phiri, J. (2023). An evaluation of the effect of digital banking channels on the performance of commercial banks in Zambia. Open Journal of Business and Management, 11(4)
Manjaly, J., Varghese, R. & Varughese, P. (2021). Artificial Intelligence in the Banking Sector – A Critical Analysis. Shanlax International Journal of Management, 8(S1-Feb)
Manta, A.G. et al., (2024). Industry 4.0 Transformation: Analysing the impact of artificial intelligence on the banking sector through bibliometric trends. Electronics, 13(9)
Maree, M. & Dlamini, T. (2022). AI capacity development and digital literacy in Sub-Saharan banks. African Review of Technology and Development, 7(4), 122–138
Masoud, R. & Basahel, S. (2023). The effects of digital transformation on firm performance: The role of customer experience and IT innovation. Digital, 3(2), 109–126
Mbama, C.I. (2018). Digital banking services, customer experience and financial performance in UK banks. Sheffield: Sheffield Hallam University
McKinsey, 2023. The economic potential of generative AI: The next productivity frontier. [Online]
Available at: https://www.mckinsey.com/capabilities/tech-and-ai/our-insights/the-economic-potential-of-generative-ai-the-next-productivity-frontier [Accessed 20 November 2025].
PwC, 2025. Zambia Banking Industry Survey Report 2025, s.l.: PwC.
Mithra, A.S., Duddukuru, V.C. & Ks, M. (2023). How artificial intelligence is revolutionizing the banking sector: The applications and challenges. Asian Journal of Management, 14(3), 2321–5763
Moela, N. et al., (2024). Trends from 20 years of Artificial Intelligence in Financial Services in Africa. African Conference on Information Systems and Technology, 27
Moor, J. (2006). The Dartmouth College Artificial Intelligence Conference: The Next Fifty Years. AI Magazine, 27, 87–91
Moyo, N. (2022). Artificial Intelligence and digital resilience in South Africa’s banking system. Journal of Financial Technology Research, 5(3), 61–79
Mumba, C. & Silwamba, M. (2021). The digital journey of Zambian banks: Achievements and gaps. Zambia Business Review, 11(1), 55–72
Mumba, P. (2024). A study of the factors affecting profitability of Zambian commercial banks: A case of Zanaco. Lusaka: The University of Zambia
Mucci, T. (2024). The history of artificial intelligence. [Online] Available at: https://www.ibm.com/think/topics/history-of-artificial-intelligence [Accessed 2 February 2025]
Mutua, M. & Ndirangu, D. (2020). AI in East African retail banking: A case for inclusive digital finance. International Journal of Emerging Markets, 15(6), 1023–1040
Mutumba, A.J.M. (2018). Understanding the readiness of banking industry employees to adopt artificial intelligence in frontier markets. Pretoria: University of Pretoria
Ng’ambi, M., Tembo, S. & Shabani, J. (2024). Examining the role of artificial intelligence in cybercrime: An integrative assessment of techniques, impacts and solutions in Zambia. International Research Journal of Modernization in Engineering Technology and Science, 6(2)
Naeem, M., Ozuem, W., Howell, K. & Ranfagni, S. (2023). A step-by-step process of thematic analysis to develop a conceptual model in qualitative research. International Journal of Qualitative Methods, 22(11). SAGE Publications. Available at: https://doi.org/10.1177/16094069231205789
Ogunleye, S. & Adeyemi, T. (2021). AI-based innovation in Nigeria’s financial sector: A readiness analysis. African Journal of Fintech and Innovation, 3(1), 88–105
Okello, S. & Otieno, J. (2021). Data-driven decision-making through AI in Kenya’s banks. ICT and Development Journal, 9(1), 33–49
Otieno, J. & Wekesa, M. (2020). Leveraging AI to expand financial inclusion in Africa. Journal of Digital Development in Africa, 4(2), 140–156
Panwar, P. & Sharma, S. (2024). Challenges and opportunities of AI in banking sector. International Journal of Scientific Research in Engineering and Management
Phiri, M. & Mwila, M. (2021). Challenges of AI integration in Zambia’s finance sector: Legal and operational insights. Zambian Journal of Legal Technology, 1(1), 18–34
Plantinga, P. et al., (2024). Responsible artificial intelligence in Africa: Towards policy learning. Data & Policy, 6
Pretorius, R. (2024). Exploring the challenges and opportunities associated with artificial intelligence in the South African banking industry. North-West University
Rahman, M., Ming, T.H., Baigh, T.A. & Sarker, M. (2021). Adoption of artificial intelligence in banking services: An empirical analysis. International Journal of Emerging Markets, 18(10)
Raja, S. (2024). AI history: The first summer and winter of AI. [Online] Available at: https://techgenies.com/ai-history-the-first-summer-and-winter-of-ai/ [Accessed 3 January 2025]
Rashid, A.B. & Kausik, M.A.K. (2024). Artificial Intelligence (AI), as a concept, has evolved over several decades, with key milestones marking its development. Hybrid Advances, 7
Ris, K., Stankovic, Z. & Avramovic, Z. (2020). Implications of implementation of artificial intelligence in the banking business with correlation to the human factor. Journal of Computer and Communications, 8(11)
Rogers, E.M. (2003). Diffusion of Innovations. 5th ed. New York: Free Press
Russell, S. & Norvig, P. (2021). Artificial Intelligence: A Modern Approach. 4th ed. New York: Pearson
Ryll, L., Seifert, R., Gillabel, S. & Fröhlich, K. (2021). AI in European banking: Strategic implications and managerial insights. Journal of Financial Innovation, 5(2), 42–60
Sakyi, K.A., Saidi, L. & Rolls, D.W. (2022). Theoretical review of macro-environment of banks - Generic approach to risk management and paradigm shift in banking practices post-COVID-19: Perspectives from Zambia. International Journal of Politics, Law, and Management, 1(6)
Sengupta, J. & Singh, A. (2022). AI implementation and banking transformation in South Asia. Journal of Digital Finance in Emerging Economies, 3(3), 77–94
Shambira, L. (2020). Exploring the adoption of artificial intelligence in the Zimbabwe banking sector. European Journal of Social Sciences Studies, 5(6)
Thompsett, L. (2024). AI in Finserv: Predictive analytics to inclusive banking. [Online] Available at: https://fintechmagazine.com/articles/ai-in-finserv-predictive-analytics-to-inclusive-banking [Accessed 25 November 2024]
Toosi, A., Bottino, A., Saboury, B. & Siegel, E. (2021). A brief history of AI: How to prevent another winter (A critical review). PET Clinics, 16(4)
Tornatzky, L.G. & Fleischer, M. (1990). The Processes of Technological Innovation. Lexington: Lexington Books
Ukpong, E.G., Udoh, I.I. & Essien, I.T. (2019). Artificial Intelligence: Opportunities, issues and applications in banking, accounting, and auditing in Nigeria. Asian Journal of Economics Business and Accounting, 10(1)
Uzwyshyn, R.J. (2024). 12 projects in machine learning and natural language processing in libraries: An introductory overview. In: New Horizons in Artificial Intelligence in Libraries, pp.171–178. Available at: https://doi.org/10.1515/9783111336435-013
Venigandla, K. & Vemuri, N. (2022). RPA and AI-driven predictive analytics in banking for fraud detection. Tuijin Jishu/Journal of Propulsion Technology, 43(4)
Visvanathan, K. (2024). Impacts of artificial intelligence implementation in the banking industry. International Journal of Commerce and Management Research, 10(4)
World Bank (2020). Accelerating Digital Transformation in Zambia. Washington, DC: International Bank for Reconstruction and Development / The World Bank
World Bank (2023). Transforming Finance Through Technology: Global Case Studies. Washington, DC: The World Bank Group
Zambia Information and Communications Technology Authority (ZICTA) (2023). Digital Readiness Report 2023. Lusaka: ZICTA Publications
Zambia National Commercial Bank (2024). 3 reasons to consider investing in Zambia National Commercial Bank Plc. [Online] Available at: https://zanacoinvestor.com/ [Accessed 07 October 2024]
Zulu, T. & Chitalu, H. (2023). Digital banking in Zambia: Trends, risks and regulation. Zambia Institute of Chartered Accountants (ZICA) Journal, 8(1), 92–106
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