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TruaceTracing the truth around AIWednesday, August 5, 2026
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TRV-2026-0500Certified recordPeer-reviewed

Artificial Intelligence Adoption in SMEs: Survey Based on TOE–DOI Framework, Primary Methodology and Challenges

Despite the transformative potential of artificial intelligence (AI), small and medium-sized enterprises (SMEs) continue to face significant challenges in its effective adoption. While prior studies have emphasized strategic benefits and readiness models, there remains a lack of operational guidance tailored to SME realities—particularly regarding implementation barriers, resource constraints, and emerging demands for responsible AI use. This study presents an analysis of AI adoption in SMEs by integrating the t…

Policy · The Trace — both readings · certified 2026-07-22 · v1 · article view · machine-readable

Current reading — gain

A structured six-phase roadmap methodology guides SMEs through AI adoption by pairing each barrier with actionable, context-sensitive solutions and incorporating responsible AI governance and open-weight LLMs.

Current reading — problem

Small and medium-sized enterprises continue to face significant challenges in effective AI adoption, with ten critical barriers across technology, organization, and environment including data access, skill shortages, cultural resistance, infrastructure limitations, and weak governance.

What this doesn’t fix

The proposed six-phase roadmap is conceptual and has not been validated through field data, limiting evidence of effectiveness in real SME settings.

Evidence

Reader signal

How should this claim be treated?

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Truvace Impact Record TRV-2026-0500, v1: “Artificial Intelligence Adoption in SMEs: Survey Based on TOE–DOI Framework, Primary Methodology and Challenges.” Truvace, 2026-07-22. /record/TRV-2026-0500 (accessed at citation time). sha256 82511918d2b33f24…

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