Artificial Intelligence (AI) Maturity in Small and Medium-Sized Enterprises: A Framework of Internalized and Ecosystem-Embedded Capabilities

• URL: http://arxiv.org/abs/2603.08728v1
• Date: Thu, 19 Feb 2026 17:28:24 GMT
• Title: Artificial Intelligence (AI) Maturity in Small and Medium-Sized Enterprises: A Framework of Internalized and Ecosystem-Embedded Capabilities
• Abstract summary: This study develops a conceptual AI maturity framework explicitly grounded in SMEs.<n>It reconceptualizes AI maturity as a multidimensional, non-linear, and ecosystem-embedded capability.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Artificial intelligence (AI) maturity models have proliferated, yet prevailing frameworks remain largely enterprise-centric, linear, and weakly aligned with the organizational realities of small and medium-sized enterprises (SMEs). This study develops a conceptual AI maturity framework explicitly grounded in SME contexts. Drawing on organizational capability theory, maturity model research, and the SME digital transformation literature, the framework reconceptualizes AI maturity as a multidimensional, non-linear, and ecosystem-embedded capability. It comprises eight interrelated capability dimensions, five maturity levels, and four archetypal development pathways, capturing heterogeneity in SME AI adoption trajectories. By foregrounding resource constraints, informal governance, owner-manager dominance, and external ecosystem dependence, the framework extends existing AI maturity theory and responds to calls for context-sensitive conceptualization of AI capability development. The study provides a foundation for future empirical validation and comparative research on AI maturity in SMEs, to measure their competitiveness, potential in self-development, and driving force in the SME context.

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