مجلة إضافات إقتصادية
Volume 10, Numéro 2, Pages 1429-1453
2026-09-30
Artificial Intelligence And Strategic Decision-making Enhancement In Small And Medium-sized Enterprises: A Comprehensive Framework Analysis And Evidence From Leading Implementations
Authors : Khababa Ala Eddine .
Abstract
This paper investigates the role of artificial intelligence in enhancing strategic decision-making within small and medium-sized enterprises (SMEs) through an integrated theoretical and comparative approach. The study addresses the lack of clear practical mechanisms that enable SMEs, especially in developing countries, to effectively leverage AI in support of their strategic objectives. An analytical and comparative methodology is adopted, combining an in-depth review of key frameworks (TOE, UTAUT, RBV, Dynamic Capabilities, and Diffusion of Innovations) with an examination of leading international experiences in Singapore, South Korea and Estonia, alongside a focused discussion of the Algerian digital transformation agenda. The findings show that successful AI adoption depends on a balanced interaction between digital infrastructure readiness, organizational and human capabilities development, robust data governance and a clear strategic vision, supported by consistent institutional and governmental commitment.
Keywords
Artificial Intelligence ; Small and Medium Enterprises ; Strategic Decision-Making ; Digital Transformation ; Integrated Theoretical Frameworks.
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