Artificial Intelligence for SMEs in the Dominican Republic: A Strategic Neutrosophic PEST-SWOT Analysis to Navigate Uncertainty

Authors

  • Karina Pérez Teruel Barna Management School, Santod Domingo, Dominican Republic

Keywords:

Artificial Intelligence, SMEs, Dominican Republic, Digital Transformation, Neutrosophic, PEST Analysis, Uncertainty, Strategy, Competitiveness, Decision-Making, Sustainability

Abstract

This study examines the adoption of Artificial Intelligence (AI) in Dominican Republic SMEs through a PESTLE-neutrosophic analysis. PESTLE stands for Political, Economic, Social, Technological, Legal and Environmental factors. Neutrosophic is the Philosophy of Indeterminacy. Therefore, we focus on the factors relative to AI adoption in the Dominican Republic—specifiers to the benefits and drawbacks, as well as, the unknowns of operating with AI—with the intention of illuminating attention. The findings support a phased approach for SMEs to view indeterminacy as an opportunity for competitive advantage through improved operational efficiencies, enhanced customer experience, and more informed decision-making. Ultimately, the results position AI as a necessity for competitive advantage over time in ever-compounding micro and macro environments, corroborated by recent studies surrounding the Dominican Republic ecosystem.

DOI

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Published

2025-12-15

How to Cite

Karina Pérez Teruel. (2025). Artificial Intelligence for SMEs in the Dominican Republic: A Strategic Neutrosophic PEST-SWOT Analysis to Navigate Uncertainty. Neutrosophic Sets and Systems, 92, 1-11. https://fs.unm.edu/nss8/index.php/111/article/view/7050

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