Artificial Intelligence as A Driver of Organizational Transformation: Towards A Nigerian Strategic Innovation Framework

References

[1] Adebayo, K., & Ogundipe, A. (2023). Artificial intelligence adoption and business performance in Nigeria’s manufacturing sector. Journal of African Business and Technology, 9(2), 45–61.

[2] Adeleye, I., & Eze, S. C. (2022). Digital transformation in Africa: Harnessing artificial intelligence for inclusive growth. African Journal of Management Studies, 14(1), 23–40.

[3] Argote, L., & Miron-Spektor, E. (2011). Organizational learning: From experience to knowledge. Organization Science, 22(5), 1123–1137.

[4] Asongu, S. A., & Odhiambo, N. M. (2019). Inclusive development in Africa: Benchmarking the relevance of information and communication technologies. Telecommunications Policy, 43(1), 101812. https://doi.org/10.1016/j.telpol.2018.07.007

[5] Asongu, S. A., & Odhiambo, N. M. (2019). Inclusive development in Africa: Benchmarking ICT, education and financial access. Information Technology & People, 32(1), 132–158. https://doi.org/10.1108/ITP-03-2018-0133

[6] Brennen, S., & Kreiss, D. (2016). Digitalization and democracy: Understanding the impact of digital media on public institutions. Journal of Communication, 66(1), 1–15.

[7] Brynjolfsson, E., & McAfee, A. (2017). Machine, platform, crowd: Harnessing our digital future. W. W. Norton & Company.

[8] Bughin, J., Hazan, E., Ramaswamy, S., Chui, M., Allas, T., Dahlström, P., & Trench, M. (2018). Notes from the AI frontier: Modeling the impact of AI on the world economy. McKinsey Global Institute.

[9] Davenport, T. H., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard Business Review, 96(1), 108–116.

[10] Davenport, T. H., Guha, A., Grewal, D., & Bressgott, T. (2020). How artificial intelligence will change the future of marketing. Journal of the Academy of Marketing Science, 48(1), 24–42.

[11] Dwivedi, Y. K., Hughes, D. L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., ... & Williams, M. D. (2021). Artificial intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 57, 101994.

[12] Dwivedi, Y. K., Hughes, L., Baabdullah, A. M., Ribeiro-Navarrete, S., Giannakis, M., Al-Debei, M. M., & Dennehy, D. (2021). Artificial intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 57, 101994. https://doi.org/10.1016/j.ijinfomgt.2019.101994

[13] Eisenhardt, K. M., & Martin, J. A. (2000). Dynamic capabilities: What are they? Strategic Management Journal, 21(10–11), 1105–1121. https://doi.org/10.1002/1097-0266(200010/11)21:10/11<1105::AID-SMJ133>3.0.CO;2-E

[14] Eze, S. C., Chinedu, E., & Okafor, U. (2022). Strategic innovation and AI adoption in emerging economies: Evidence from Nigerian SMEs. Journal of Technological Innovation in Emerging Markets, 7(3), 77–95.

[15] Eze, S. C., Chinedu-Eze, V. C., & Bello, A. O. (2022). Determinants of AI adoption and digital transformation in Nigeria: Insights from SMEs. Technology in Society, 68, 101908. https://doi.org/10.1016/j.techsoc.2022.101908

[16] Gibson, R. (2020). Rethinking the organization for the digital age. Routledge..

[17] Govindarajan, V., & Trimble, C. (2012). Reverse innovation: Create far from home, win everywhere. Harvard Business Review Press.

[18] Haenlein, M., & Kaplan, A. (2019). A brief history of artificial intelligence: On the past, present, and future of artificial intelligence. California Management Review, 61(4), 5–14.

[19] Henderson, J. C., & Venkatraman, N. (1993). Strategic alignment: Leveraging information technology for transforming organizations. IBM Systems Journal, 32(1), 4–16. https://doi.org/10.1147/sj.321.0004

[20] Jaakkola, E. (2020). Designing conceptual articles: Four approaches. AMS Review, 10(1–2), 18–26. https://doi.org/10.1007/s13162-020-00161-0

[21] Kotter, J. P. (2012). Leading change. Harvard Business Review Press.

[22] Luftman, J., & Kempaiah, R. (2007). An update on business-IT alignment: “A line” has been drawn. MIS Quarterly Executive, 6(3), 165–177.

[23] MacInnis, D. J. (2011). A framework for conceptual contributions in marketing. Journal of Marketing, 75(4), 136–154. https://doi.org/10.1509/jmkg.75.4.136

[24] Markides, C. (1999). All the right moves: A guide to crafting breakthrough strategy. Harvard Business School Press.

[25] Mikalef, P., Pappas, I. O., Krogstie, J., & Giannakos, M. (2018). Big data analytics capabilities: A systematic literature review and research agenda. Information Systems and e-Business Management, 16(3), 547–578.

[26] Mikalef, P., Pappas, I. O., Krogstie, J., & Giannakos, M. (2020). Big data analytics capabilities: A resource-based perspective on their business value. Information & Management, 57(2), 103169.

[27] National Information Technology Development Agency (NITDA). (2022). National artificial intelligence policy draft for Nigeria. Abuja: Federal Government of Nigeria.

[28] NITDA. (2022). National Artificial Intelligence Policy Draft for Nigeria. Abuja: Federal Government of Nigeria.

[29] Olanrewaju, A. S., & Ajayi, A. D. (2023). Artificial intelligence and strategic alignment in developing economies: Challenges and opportunities. African Journal of Management Research, 15(2), 66–84.

[30] Olanrewaju, A., & Ajayi, S. (2023). Digital transformation and innovation management in Nigerian enterprises: A leadership perspective. African Journal of Business Research, 8(1), 91–107.

[31] PwC. (2023). AI readiness index: Africa outlook report. PricewaterhouseCoopers.

[32] Rogers, E. M. (2003). Diffusion of innovations (5th ed.). Free Press.

[33] Russell, S., & Norvig, P. (2021). Artificial intelligence: A modern approach (4th ed.). Pearson.

[34] Shrestha, Y. R., Ben-Menahem, S. M., & Krogh, G. von. (2021). Organizational decision-making structures in the age of artificial intelligence. California Management Review, 63(4), 66–89.

[35] Snyder, H. (2019). Literature review as a research methodology: An overview and guidelines. Journal of Business Research, 104, 333–339. https://doi.org/10.1016/j.jbusres.2019.07.039

[36] Teece, D. J. (2007). Explicating dynamic capabilities: The nature and microfoundations of sustainable enterprise performance. Strategic Management Journal, 28(13), 1319–1350.

[37] Teece, D. J. (2018). Business models and dynamic capabilities. Long Range Planning, 51(1), 40–

[38] Teece, D. J. (2018). Dynamic capabilities as (workable) management systems theory. Journal of Management & Organization, 24(3), 359–368. https://doi.org/10.1017/jmo.2017.75

[39] Teece, D. J., Pisano, G., & Shuen, A. (1997). Dynamic capabilities and strategic management. Strategic Management Journal, 18(7), 509–533.

[40] Tornatzky, L. G., & Fleischer, M. (1990). The processes of technological innovation. Lexington Books.

[41] UNESCO. (2021). Recommendation on the ethics of artificial intelligence. Paris: United Nations Educational, Scientific and Cultural Organization.

[42] Warner, K. S. R., & Wäger, M. (2019). Building dynamic capabilities for digital transformation: An ongoing process of strategic renewal. Long Range Planning, 52(3), 326–349.

[43] World Economic Forum. (2023). Global AI readiness index. Geneva: World Economic Forum.

@article{1711814,
      author = {Korubo-Fi, Alexandra Idaere (PhD), Wokoma, Harcourt Opubo (PhD)},
      title = {Artificial Intelligence as A Driver of Organizational Transformation: Towards A Nigerian Strategic Innovation Framework},
      journal = {Iconic Research And Engineering Journals},
      year = {2025},
      volume = {9},
      number = {5},
      pages = {2460-2470},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1711814.pdf},
      abstract = {Artificial Intelligence (AI) is increasingly recognized as a catalyst for organizational transformation and strategic innovation in the digital economy. However, its adoption in Nigeria remains limited by infrastructural challenges, skills shortages, and misalignment between technology initiatives and business strategy. This conceptual paper examines AI as a driver of organizational transformation in Nigeria by integrating three theoretical perspectives: Dynamic Capabilities Theory, Innovation Diffusion Theory, and the Strategic Alignment Model. The proposed Strategic Innovation Framework explains how AI enables organizations to sense opportunities, enhance decision-making, and redesign processes to achieve competitiveness and sustainability. The paper highlights the critical role of leadership, learning-oriented culture, and policy support in accelerating AI adoption. It contributes to the digital transformation literature by contextualizing AI-driven innovation within an emerging economy and offers strategic recommendations for business leaders and policymakers seeking to leverage AI for national development.},
      keywords = {Artificial Intelligence; Organizational Transformation; Strategic Innovation; Dynamic Capabilities; Innovation Diffusion; Strategic Alignment; Nigeria},
      month = {November},
      doi = {https://doi.org/10.64388/IREV9I5-1711814}
  }