Assessing the Technological Readiness of Small Businesses for Artificial Intelligence-Powered Transformation A West African Context
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Abstract
This study was necessitated by the apparent hesitance of Small and Medium-sized Enterprises (SMEs) in West Africa to embrace AI for their transformation, prompting an examination of AI-powered business transformation in SMEs. Employing a qualitative research method, the study utilized secondary qualitative data and thematic analysis to identify key influencing factors and reviewed existing empirical evidence on challenges and opportunities. Findings revealed a significant awareness and usage gap among West African SMEs, with a high level of awareness of AI tools, which contrasts with minimal actual implementation. Despite this, SMEs hold a highly positive perception of AI's potential benefits, including enhanced customer relationship management (CRM), improved content creation, and increased operational efficiency. However, widespread adoption is consistently hindered by certain barriers such as inadequate digital infrastructure, digital skill gaps, high financial costs, organizational resistance to change, and challenges related to data quality and integration. The study concluded that while AI offers immense transformative potential for West African SMEs, realizing these benefits necessitates bridging the gap between awareness and implementation through targeted interventions. The study, therefore, recommended among others, government-led policy and infrastructure development, comprehensive digital literacy and AI skills training for SMEs owners and workers.
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Copyright (c) 2025 Arachie, Augustine Ebuka, Anagwu, Victoria Kenechukwu, Ngozi, Comfort Okeke, Okwudiri, Nnanna-Ohuonu (Author)

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Abdulganiyu, J., Musa, M. N., Matayo, V. A., Saidu, A. A., & Ahmed, A. A. (2023). Integrating Business Intelligence and Small and Medium Enterprises for Shifting Africa from Consumption to a Production and Industrialised Economy. Spectrum International Journal of Multidisciplinary Research, 1(2), 1-9.
Abrokwah-Larbi, K., & Awuku-Larbi, Y. (2024). The impact of artificial intelligence in marketing on the performance of business organisations: Evidence from SMEs in an emerging economy. Journal of Entrepreneurship in Emerging Economies,16(4), 1090–1117. DOI: https://doi.org/10.1108/JEEE-07-2022-0207
Abubakar, M., & Volikatla, H. (2021). AI-Driven Business Transformation with SAP Cloud Solutions. Available at SSRN 5198394.
Adesina, A. A., Iyelolu, T. V., & Paul, P. O. (2024). Leveraging predictive analytics for strategic decision-making: Enhancing business performance through data-driven insights. World Journal of Advanced Research and Reviews, 22(3), 1927-1934. DOI: https://doi.org/10.30574/wjarr.2024.22.3.1961
Agbo-Adediran, I., Adeusi, O. C., Bello, A. B., & Afolabi, O. N. (2025). Analysing the Impact of AI adoption and ICT Platforms in improving Customer Engagement of Small and Medium-Sized Enterprises (SMEs). Applied Sciences, Computing, and Energy, 2(2), 284-298
Akoh, E. I. (2024). Adoption of artificial intelligence for manufacturing SMEs' growth and survival in South Africa: A systematic literature review. International Journal of Research in Business and Social Science, 13(6), 23-37. DOI: https://doi.org/10.20525/ijrbs.v13i6.3561
Akpe, O. E. E., Mgbame, A. C., Ogbuefi, E., Abayomi, A. A., & Adeyelu, O. O. (2023). Technology Acceptance and Digital Readiness in Underserved Small Business Sectors. Journal of Frontiers in Multidisciplinary Research, 4(1), 252-268. DOI: https://doi.org/10.54660/.IJFMR.2023.4.1.252-268
Arachie, E. A., Nwosu, C. K., Ugwuanyi, C. S., & Muhammed, I. A. (2025). Artificial intelligence adoption and business performance: Evidence from small and medium enterprises in emerging markets. International Journal of Public Administration and Management Research,11(2), 69-86.
Arachie, E. A., Dibua, E., & Idigo, P. (2023). Artificial Intelligence as a catalyst for the Sustainability of Small and Medium Scale Businesses (SMEs) in Nigeria. Annals of Management and Organisation Research, 5(1), 1-11. DOI: https://doi.org/10.35912/amor.v5i1.1719
Benhayoun, I., Bougrine, S., & Sassioui, A. (2025). Readiness for artificial intelligence adoption by auditors in emerging countries–a PLS-SEM analysis of Moroccan firms. Journal of Financial Reporting and Accounting. DOI: https://doi.org/10.1108/JFRA-07-2024-0448
Chrzanowska, E., ZAWADA, P., & CHRZANOWSKI, M. (2024). AI-powered digital transformation--organisational perspective. Literature review. Journal of Modern Science,60(6). DOI: https://doi.org/10.13166/jms/197019
Damnjanović, A. M., Rašković, M. D., & Janković, D. M. (2024). Leadership approaches in managing AI-driven process automation for small and medium-sized enterprises. Science International Journal, 47. DOI: https://doi.org/10.35120/sciencej0304047d
Dosso, M., Nwankwo, C. I., & Travaly, Y. (2021). The readiness of innovation systems for the Fourth Industrial Revolution (4IR) in Sub-Saharan Africa. In C. Daniels, M. Dosso, & J. Amadi-Echendu (Eds.), Entrepreneurship, Technology Commercialisation, and Innovation Policy in Africa, 13-32. DOI: https://doi.org/10.1007/978-3-030-58240-1_2
Dumas, M., Fournier, F., Limonad, L., Marrella, A., Montali, M., Rehse, J. R. & Weber, I. (2023). AI-augmented business process management systems: a research manifesto. ACM Transactions on Management Information Systems, 14(1), 1-19. DOI: https://doi.org/10.1145/3576047
Drydakis, N. (2022). Artificial Intelligence and reduced SMEs’ business risks. A dynamic capabilities analysis during the COVID-19 pandemic. Information Systems Frontiers, 24(4), 1223-1247. DOI: https://doi.org/10.1007/s10796-022-10249-6
Ehrlich, I., & Yin, Y. (2022). A cross-country comparison of old-age financial readiness in Asian countries versus the United States: the case of Japan and the Republic of Korea. Asian Development Review, 39(01), 5-49. DOI: https://doi.org/10.1142/S0116110522500044
Flavián, C., Pérez-Rueda, A., Belanche, D., & Casaló, L. V. (2021). Intention to use analytical artificial intelligence (AI) in services–the effect of technology readiness and awareness. Journal of Service Management, 33(2), 293-320. DOI: https://doi.org/10.1108/JOSM-10-2020-0378
Friday, E. C., Onah, F. S., Onwudinjor, E. C., & Ezenwoke, M. L. (2024). Office Automation and Performance of Small and Medium Scale Enterprises in Anambra State, Nigeria. Journal of Public Administration, Policy and Governance Research, 2(4), 156-173.
Huseyn, M., Ruiz-Gándara, Á, González-Abril, L., & Romero, I. (2024). Adoption of artificial intelligence in small and medium-sized enterprises in Spain: The role of competences and skills. Amfiteatru Economic,26(67), 848-866. DOI: https://doi.org/10.24818/EA/2024/67/848
Islam, M. M., Desai, K., Rabbani, M. M., Ahmad, S., & Snigdha, E. Z. (2025). AI-Powered Business Intelligence in IT: Transforming Data into Strategic Solutions for Enhanced Decision-Making. The American Journal of Engineering and Technology, 7(02), 59-73. DOI: https://doi.org/10.37547/tajet/Volume07Issue02-09
Jain, A., Kakade, K. S., & Vispute, S. A. (2025). The Role of Artificial Intelligence (AI) in the Transformation of Small‐and Medium‐Sized Businesses: Challenges and Opportunities. In Artificial Intelligence‐Enabled Businesses: How to Develop Strategies for Innovation, 209-226. DOI: https://doi.org/10.1002/9781394234028.ch12
Joubert, A., Murawski, M., & Bick, M. (2023). Measuring the big data readiness of developing countries–index development and its application to Africa. Information Systems Frontiers,25(1), 327-350. DOI: https://doi.org/10.1007/s10796-021-10109-9
Karamchand, G. K. (2023). Automating Cybersecurity with Machine Learning and Predictive Analytics. Journal of Computational Innovation, 3(1).
Karulkar, Y., Shah, A., & Naik, R. (2025). AI-Powered Business Evolution: Transformative Strategies for Success of Evolving Industries. In Creating AI Synergy Through Business Technology Transformation, 39-72. IGI Global. DOI: https://doi.org/10.4018/979-8-3693-4187-2.ch003
Kraus, S., Jones, P., Kailer, N., Weinmann, A., Chaparro-Banegas, N., & Roig-Tierno, N. (2021). Digital Transformation: An Overview of the Current State of the Art of Research. SAGE Open, 11(3). https://doi.org/10.1177/21582440211047576 DOI: https://doi.org/10.1177/21582440211047576
Lavin, A., Gilligan-Lee, C. M., Visnjic, A., Ganju, S., Newman, D., Ganguly, S.,... & Gal, Y. (2022). Technology readiness levels for machine learning systems. Nature Communications, 13(1), 6039. DOI: https://doi.org/10.1038/s41467-022-33128-9
Lee, C. S., Cheang, P. Y. S., & Moslehpour, M. (2022). Predictive analytics in business analytics: decision tree. Advances in Decision Sciences,26(1), 1-29. DOI: https://doi.org/10.47654/v26y2022i1p1-29
Li, D., & Xu, L. D. (2022). Systems research on artificial intelligence. Systems Research and Behavioural Science,39(3), 359–360. DOI: https://doi.org/10.1002/sres.2839
Libai, B., Bart, Y., Gensler, S., Hofacker, C. F., Kaplan, A., Kötterheinrich, K., & Sarstedt, M. (2020). Brave new world? On AI and the management of customer relationships. Journal of Interactive Marketing, 51, 44–56. DOI: https://doi.org/10.1016/j.intmar.2020.04.002
Lin, S. C., Tian, F., Wang, K., Zhao, X., Huang, J., Xie, Q.,... & Deng, L. (2025). Open FinLLM leaderboard: Towards financial AI readiness. arXiv preprint arXiv:2501.10963.
Michael, O. (2025). Maximising the Potentials of Small and Medium Scale Business Enterprises in Developing Nations Through the Use of Artificial Intelligence: AI Adoption by SMEs. In the Developing Nations. In The Future of Small Business in Industry 5.0, 215-246. IGI Global Scientific Publishing. DOI: https://doi.org/10.4018/979-8-3693-7362-0.ch009
Moreira, S., Mamede, H. S., & Santos, A. (2022, December). Business process automation in SMEs. In European, Mediterranean, and Middle Eastern Conference on Information Systems, 426-437. Cham: Springer Nature Switzerland. DOI: https://doi.org/10.1007/978-3-031-30694-5_31
Motjolopane, I., & Chanza, M. (2023). Digital transformation dimensions for evaluating SMEs' readiness for big data analytics and artificial intelligence: A review. International Journal of Research in Business & Social Science, 12(7). DOI: https://doi.org/10.20525/ijrbs.v12i7.2837
Mphale, O., Gorejena, K. N., & Nojila, O. H. (2024). IoT Adoption in Botswana's SMEs: Technological Readiness and Government Initiatives. Journal of Information Systems and Informatics, 6(4), 2419-2446. DOI: https://doi.org/10.51519/journalisi.v6i4.885
Muzuva, M., Zhou, H., & Zondo, R. W. D. (2024). Has generative AI become of age? Assessing its impact on the productivity of SMEs in South Africa? International Journal of Research in Business and Social Science, 13(7), 527-537. DOI: https://doi.org/10.20525/ijrbs.v13i7.3576
Neha, S., Enakshi, K. S., Narotam, S., & Amita, K. (2020). Artificial Intelligence in Business: From Research and Innovation to Market Deployment. Procedia Computer Science, 167, 2200–2210. DOI: https://doi.org/10.1016/j.procs.2020.03.272
Nwagbala, S. C., Ezeanokwasa, F. N., Nwachukwu, R., Uzodike, N. J., & Nwosu, O. P. (2025). AI adoption and sustainability of SMES in Africa: Opportunities and challenges.
O’Neal, C. W., Lucier-Greer, M., Richardson, E. W., Miranda, H. E., Tate, A., & McKay, B. K. (2025). Protocol for the pragmatic evaluation of the Department of the Air Force’s Personal Financial Readiness Program. Evaluation and Program Planning, 102645. DOI: https://doi.org/10.1016/j.evalprogplan.2025.102645
Ocran, G., Yusuf, S. O., Owusu, P., Boateng, E. A., & Obeng, S. (2024). AI-driven Business Analytics for SMES: Unlocking value through predictive and prescriptive analytics. International Journal of Science and Research, 13(01), 3009-3022. DOI: https://doi.org/10.30574/ijsra.2024.13.1.2001
Ojubanire, O. A., Kolapo, A. G., Berbain, S., & Sebti, H. (2025, April). Awareness and perceived readiness of Industry 4.0 in Africa: a case study of SMMEs in Nigeria. In Supply Chain Forum: An International Journal, 26(2), 165-179. DOI: https://doi.org/10.1080/16258312.2024.2418794
Okam, E. (2023). An Industry 4.0 maturity assessment model to ascertain the readiness level of manufacturers in Africa. (Doctoral dissertation, Kingston University).
Onukwulu, E. C., Agho, M. O., & Eyo-Udo, N. L. (2023). Developing a framework for predictive analytics in mitigating energy supply chain risks. International Journal of Scholarly Research and Reviews, 2(2), 135-155. DOI: https://doi.org/10.56781/ijsrr.2023.2.2.0042
Opoku, E., Kossidze, A. A., & Lawal, O. S. (2024). Predictive analytics, operational efficiency, and revenue growth in SMEs in Africa. World Journal of Advanced Research and Reviews, 23(3), 2281-2291. DOI: https://doi.org/10.30574/wjarr.2024.23.3.2696
Panigrahi, R. R., Shrivastava, A. K., Qureshi, K. M., Mewada, B. G., Alghamdi, S. Y., Almakayeel, N., & Qureshi, M. R. N. (2023). AI Chatbot adoption in SMEs for sustainable manufacturing supply chain performance: A mediational research in an emerging country. Sustainability, 15(18), 13743. DOI: https://doi.org/10.3390/su151813743
Peláez, M. M., & Aguirre-Álvarez, Y. A. (2025). Robotic Process Automation Technology Applied to the Management of SMEs in the Manufacturing and Service Sector: A Systematic Review. Revista Universidad y Empresa, 27(48), 1-43. DOI: https://doi.org/10.12804/revistas.urosario.edu.co/empresa/a.14237
Pingali, S. R., Singha, S., Arunachalam, S., & Pedada, K. (2023). Digital readiness of small and medium enterprises in emerging markets: The construct, propositions, measurement, and implications. Journal of Business Research, 164, 113973. DOI: https://doi.org/10.1016/j.jbusres.2023.113973
Qureshi, J. (2024). AI-powered cloud-based e-commerce: driving digital business transformation initiatives. Issues in Information Systems, 25(3), 471-482. DOI: https://doi.org/10.20944/preprints202401.2214.v1
Ribeiro, J., Lima, R., Eckhardt, T., & Paiva, S. (2021). Robotic process automation and artificial intelligence in industry 4.0–a literature review. Procedia Computer Science, 181, 51-58. DOI: https://doi.org/10.1016/j.procs.2021.01.104
Schwab, K. (2017). The Fourth Industrial Revolution. Crown Business.
Schönberger, M. (2023). Artificial intelligence for small and medium-sized enterprises: identifying key applications and challenges. Journal of Business Management, 21. DOI: https://doi.org/10.32025/JBM23004
Selamat, M. A., & Windasari, N. A. (2021). Chatbot for SMEs: Integrating customer and business owner perspectives. Technology in Society, 66, 101685. DOI: https://doi.org/10.1016/j.techsoc.2021.101685
Shankar, V. (2018). How artificial intelligence (AI) is reshaping retailing. Journal of Retailing, 94(4), 6-11 DOI: https://doi.org/10.1016/S0022-4359(18)30076-9
Sreenivasan, A., & Suresh, M. (2023). Readiness of financial resilience in start-ups. Journal of Safety Science and Resilience,4(3), 241-252. DOI: https://doi.org/10.1016/j.jnlssr.2023.02.004
Umetiti, C. B., Nwafor, A. E., Arachie, A. E., & Ifeme, A. P. (2025). Digital Literacy in the Context of Small and Medium Enterprises (SMEs): A Performance Dynamics. International Journal of Public Administration and Management Research, 11(1), 1-17.
Uren, V., & Edwards, J. S. (2023). Technology readiness and the organisational journey towards AI adoption: An empirical study. International Journal of Information Management, 68, 102588. DOI: https://doi.org/10.1016/j.ijinfomgt.2022.102588
Varun, D., Aishwarya, S., Tanya, G., & Suchismita, P. (2023). A Study on the Impact of Artificial Intelligence in Small and Medium Enterprises. International Journal for Multidisciplinary Research, 5(6), 1-9. DOI: https://doi.org/10.36948/ijfmr.2023.v05i06.11145
Vu, H., Leopold, H., & Van Der Aa, H. (2025). What is business process automation anyway?. arXiv preprint arXiv:2506.10991.
Wagobera, E. K., Ejimuda, C., Idemudia, C., & Ijomah, T. I. (2023). AI chatbot integration in SME marketing platforms: Improving customer interaction and service efficiency. International Journal of Management & Entrepreneurship Research, 6(7), 1–15. DOI: https://doi.org/10.51594/ijmer.v6i7.1327
Wahab, M. D. A., & Radmehr, M. (2024). The impact of AI assimilation on firm performance in small and medium-sized enterprises: A moderated multi-mediation model. Heliyon, 10(8). DOI: https://doi.org/10.1016/j.heliyon.2024.e29580
Watson III, E. F., & Schwarz, A. H. (2023). Enterprise and business process automation. In Springer Handbook of Automation (1385-1400). Cham: Springer International Publishing. DOI: https://doi.org/10.1007/978-3-030-96729-1_65
Xiong, Y., Xia, S., & Wang, X. (2020). Artificial intelligence and business applications: an introduction. International Journal of Technology Management, 84(1/2), 1–7. DOI: https://doi.org/10.1504/IJTM.2020.112615
Yusuf, S. O., Durodola, R. L., Ocran, G., Abubakar, J. E., Echere, A. Z., & Paul-Adeleye, A. H. (2024). Challenges and opportunities in AI and digital transformation for SMEs: A cross-continental perspective. World Journal of Advanced Research and Reviews, 23(3), 668-678. DOI: https://doi.org/10.30574/wjarr.2024.23.3.2511
Zwingmann, T. (2022). AI-powered business intelligence. O'Reilly Media, Inc