The polyhedric role of artificial intelligence in value creation processes of SMEs: A literature review

Purpose This study offers a literature review on how artificial intelligence (AI) creates value in SMEs by distinguishing three roles along the value chain, enabler, enhancer and transformer and integrating the Dynamic Capabilities perspective with an analysis of managerial mechanisms and ethical/regulatory tensions. Design/methodology/approach A systematic literature review was applied to a dataset of 84 articles drawn from the Web of Science database with an extensive string of keywords related to AI and SMEs. Findings The findings provide a critical assessment of (1) theoretical underpinnings, (2) methodological aspects and (3) empirical evidence on AI and SMEs, by highlighting the different roles of AI (enabler, enhancer and transformer) within the different stages of the SMEs value chain, as well as the dark side (bias, opacities, lock-ins) associated with AI. Originality/value This study is the first to make systematic efforts to take stock of existing conceptualizations and empirical findings concerning the different roles that AI can play in supporting SME processes, as an enabler of digital infrastructures and data ecosystems, an enhancer of managerial decision-making and operational efficiency or a transformer of business models and value creation mechanisms. In doing so, it offers a coherent overview of the state of the art and helps to identify cumulative insights or gaps for future research.

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Publication Details

Journal
Management Decision
Published
2026-08-27
DOI
https://doi.org/10.1108/md-10-2025-3351
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
0.00
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article

The polyhedric role of artificial intelligence in value creation processes of SMEs: A literature review

Alfredo Celentano, Michela Matarazzo
Management Decision
Digital Transformation in Industry
article

The polyhedric role of artificial intelligence in value creation processes of SMEs: A literature review

Alfredo Celentano, Michela Matarazzo
article en

Abstract

Purpose This study offers a literature review on how artificial intelligence (AI) creates value in SMEs by distinguishing three roles along the value chain, enabler, enhancer and transformer and integrating the Dynamic Capabilities perspective with an analysis of managerial mechanisms and ethical/regulatory tensions. Design/methodology/approach A systematic literature review was applied to a dataset of 84 articles drawn from the Web of Science database with an extensive string of keywords related to AI and SMEs. Findings The findings provide a critical assessment of (1) theoretical underpinnings, (2) methodological aspects and (3) empirical evidence on AI and SMEs, by highlighting the different roles of AI (enabler, enhancer and transformer) within the different stages of the SMEs value chain, as well as the dark side (bias, opacities, lock-ins) associated with AI. Originality/value This study is the first to make systematic efforts to take stock of existing conceptualizations and empirical findings concerning the different roles that AI can play in supporting SME processes, as an enabler of digital infrastructures and data ecosystems, an enhancer of managerial decision-making and operational efficiency or a transformer of business models and value creation mechanisms. In doing so, it offers a coherent overview of the state of the art and helps to identify cumulative insights or gaps for future research.

Management Decision
Marconi University (IT)
Industry, innovation and infrastructure
Openalex Percentile: Top 10%
Digital Transformation in Industry
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The polyhedric role of artificial intelligence in value creation processes of SMEs: A literature review — Alfredo Celentano, Michela Matarazzo · Management Decision (2026) | TGRS Research Map | TGRS