Artificial Intelligence in SMEs: Enhancing Business Functions Through Technologies and Applications

Le Dinh, T., Vu, M.-C. et Tran, G. T.C. (2025). Artificial Intelligence in SMEs: Enhancing Business Functions Through Technologies and Applications. Information, 16 (5). p. 415. ISSN 2078-2489 DOI 10.3390/info16050415

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Résumé

Artificial intelligence (AI) has significant potential to transform small- and medium-sized enterprises (SMEs), yet its adoption is often hindered by challenges such as limited financial and human resources. This study addresses this issue by investigating the core AI technologies adopted by SMEs, their broad range of applications across business functions, and the strategies required for successful implementation. Through a systematic literature review of 50 studies published between 2016 and 2025, we identify prominent AI technologies, including machine learning, natural language processing, and generative AI, and their applications in enhancing efficiency, decision-making, and innovation across sales and marketing, operations and logistics, finance and other business functions. The findings emphasize the importance of workforce training, robust technological infrastructure, data-driven cultures, and strategic partnerships for SMEs. Furthermore, the review highlights methods for measuring and optimizing AI’s value, such as tracking key performance indicators and improving customer satisfaction. While acknowledging challenges like financial constraints and ethical considerations, this research provides practical guidance for SMEs to effectively leverage AI for sustainable growth and provides a foundation for future studies to explore customized AI strategies for diverse SME contexts.

Type de document:	Article
Mots-clés libres:	Artificial intelligence SME AI-powered technologies
Date de dépôt:	25 juin 2025 13:27
Dernière modification:	25 juin 2025 13:27
Version du document déposé:	Version officielle de l'éditeur
URI:	https://depot-e.uqtr.ca/id/eprint/12008

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