Artificial Intelligence as A Driver of Organizational Transformation: Towards A Nigerian Strategic Innovation Framework
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
Citations
IRE Journals:
Korubo-Fi, Alexandra Idaere (PhD), Wokoma, Harcourt Opubo (PhD) "Artificial Intelligence as A Driver of Organizational Transformation: Towards A Nigerian Strategic Innovation Framework" Iconic Research And Engineering Journals Volume 9 Issue 5 2025 Page 2460-2470 https://doi.org/10.64388/IREV9I5-1711814
IEEE:
Korubo-Fi, Alexandra Idaere (PhD), Wokoma, Harcourt Opubo (PhD)
"Artificial Intelligence as A Driver of Organizational Transformation: Towards A Nigerian Strategic Innovation Framework" Iconic Research And Engineering Journals, 9(5) https://doi.org/10.64388/IREV9I5-1711814
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