Title: Managerial Competence and AI-Driven Technological Innovation: Catalysts For Sustainable Economic Growth
Authors: ABDULSALAM, Abdulmajeed Bidemi, GANGBE, Mautin Oluwaseun, NDAKOTSU, Alhassan Tybo
Volume: 10
Issue: 3
Pages: 58-64
Publication Date: 2026/03/28
Abstract:
This study examines the interdependent roles of managerial competence and artificial intelligence (AI)-driven innovation in fostering sustainable economic growth within contemporary organisations. Drawing on human capital, dynamic capabilities, and innovation management perspectives, it conceptualizes managerial competence as a multidimensional capability encompassing strategic insight, digital proficiency, ethical judgment, adaptive leadership, and data-informed decision making. The study argues that the economic value derived from AI technologies such as big data analytics and the Internet of Things is largely shaped by managerial choices regarding adoption, integration, and governance. It also highlights contextual, technical, ethical, and workforce-related challenges. A conceptual framework is proposed to illustrate how managerial competence and AI-enabled innovation interact to enhance operational efficiency, innovation performance, and long-term competitive sustainability. The article also identifies critical constraints, including methodological limitations, contextual differences across industries and institutional settings, technical complexities, ethical concerns, and workforce transformation challenges. In response, a conceptual model is advanced to illustrate the reciprocal and reinforcing interaction between managerial competence and AI-enabled innovation. This framework demonstrates how effective managerial capabilities amplify the strategic impact of AI technologies, thereby enhancing operational efficiency, innovation capacity, long-term competitiveness, and responsible resource stewardship.