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AI Diffusion in European SMEs: Data-Driven Ecosystems and Value Creation

Author

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  • Csilla Margit Csiszar

    (University of Miskolc, Miskolc, Hungary)

Abstract

Small and medium-sized enterprises (SMEs) increasingly compete within European digital ecosystems where digital infrastructure, data analytics capability, and specialised human capital shape both access to advanced technologies and the ability to convert data into economic value. This study examines artificial intelligence (AI) diffusion in European SMEs through an ecosystem capability-stack lens, arguing that AI adoption is more plausibly explained by complementary data readiness foundations than by single-technology indicators. The analysis uses harmonised Eurostat indicators for EU Member States, combining ICT usage statistics on AI, machine learning for data analysis, cloud-based analytics, in-house analytics capability, and ICT specialist intensity with Structural Business Statistics measures of SMEs value creation (value added per enterprise). Methodologically, the article applies correlation analysis, principal component analysis to derive a composite Data Readiness Index, k-means clustering to identify cross-country ecosystem profiles, and parsimonious regression specifications controlling for GDP per capita in PPS. The results indicate that stronger analytics capabilities align with higher AI uptake, and that the composite data readiness measure predicts cross-country variation in AI diffusion. Furthermore, AI uptake and joint adoption bundles are positively associated with SMEs value creation, while diffusion remains uneven across the digital-intensity distribution, with data analytics growth concentrated among digitally advanced SMEs. These findings operationalise data readiness as a measurable ecosystem foundation for AI diffusion and highlight digital-divide mechanisms that can limit inclusive value creation within European SMEs ecosystems.

Suggested Citation

  • Csilla Margit Csiszar, 2026. "AI Diffusion in European SMEs: Data-Driven Ecosystems and Value Creation," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 28(72), pages 752-752, April.
    • Handle: RePEc:aes:amfeco:v:28:y:2026:i:72:p:752
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    References listed on IDEAS

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    1. Maria Orero-Blat & Daniel Palacios-Marqués & Antonio Luis Leal-Rodríguez & Alberto Ferraris, 2025. "Beyond digital transformation: a multi-mixed methods study on big data analytics capabilities and innovation in enhancing organizational performance," Review of Managerial Science, Springer, vol. 19(2), pages 649-685, February.
    2. Adriana Grigorescu & Elena Pelinescu & Amalia Elena Ion & Monica Florica Dutcas, 2021. "Human Capital in Digital Economy: An Empirical Analysis of Central and Eastern European Countries from the European Union," Sustainability, MDPI, vol. 13(4), pages 1-21, February.
    3. Bartlomiej Gladysz & Davide Matteri & Krzysztof Ejsmont & Donatella Corti & Andrea Bettoni & Rodolfo Haber Guerra, 2023. "Platform-based support for AI uptake by SMEs: guidelines to design service bundles," Central European Management Journal, Emerald Group Publishing Limited, vol. 31(4), pages 463-478, October.
    4. Antonio Fabio Forgione & Carlo Migliardo, 2023. "Disrupting regional efficiency gaps via Industry 4.0 firm investments," Industry and Innovation, Taylor & Francis Journals, vol. 30(1), pages 135-158, January.
    5. Aurelija Burinskienė & Jolanta Nalivaikė, 2024. "Digital and Sustainable (Twin) Transformations: A Case of SMEs in the European Union," Sustainability, MDPI, vol. 16(4), pages 1-24, February.
    6. Justy, Théo & Pellegrin-Boucher, Estelle & Lescop, Denis & Granata, Julien & Gupta, Shivam, 2023. "On the edge of Big Data: Drivers and barriers to data analytics adoption in SMEs," Technovation, Elsevier, vol. 127(C).
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    Keywords

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    JEL classification:

    • L25 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Performance
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis

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