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Enhancing SME resilience through artificial intelligence and strategic foresight: A framework for sustainable competitiveness

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  • Carayannis, Elias G.
  • Dumitrescu, Roman
  • Falkowski, Tommy
  • Papamichail, George
  • Zota, Nikos - Rigert

Abstract

This article explores the integration of artificial intelligence (AI) and strategic foresight as a comprehensive framework for enhancing resilience in small and medium-sized enterprises (SMEs). It examines AI applications such as predictive analytics, scenario planning, and risk identification to improve operational efficiency and decision-making. By combining AI tools with foresight methodologies, the proposed framework helps SMEs anticipate market disruptions, adapt to evolving business environments, and build sustainable growth strategies. Addressing challenges like financial constraints and regulatory issues, this article provides practical insights for industry professionals and academics, highlighting effective strategies for leveraging AI to strengthen SME resilience and competitiveness.

Suggested Citation

  • Carayannis, Elias G. & Dumitrescu, Roman & Falkowski, Tommy & Papamichail, George & Zota, Nikos - Rigert, 2025. "Enhancing SME resilience through artificial intelligence and strategic foresight: A framework for sustainable competitiveness," Technology in Society, Elsevier, vol. 81(C).
    • Handle: RePEc:eee:teinso:v:81:y:2025:i:c:s0160791x25000259
    DOI: 10.1016/j.techsoc.2025.102835
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    References listed on IDEAS

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    1. Marinković, Milan & Al-Tabbaa, Omar & Khan, Zaheer & Wu, Jie, 2022. "Corporate foresight: A systematic literature review and future research trajectories," Journal of Business Research, Elsevier, vol. 144(C), pages 289-311.
    2. Russell W. Belk & Daniel Belanche & Carlos Flavián, 2023. "Key concepts in artificial intelligence and technologies 4.0 in services," Service Business, Springer;Pan-Pacific Business Association, vol. 17(1), pages 1-9, March.
    3. Elias G. Carayannis & Evangelos Grigoroudis, 2023. "Towards an Ambidextrous, Robust and Resilient Impact Assessment of Sustainable Smarter Specialisation Strategies (AR2IA/S4)," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 14(3), pages 2420-2462, September.
    4. Thomas Joseph, 2024. "Natural Language Processing (NLP) for Sentiment Analysis in Social Media," International Journal of Computing and Engineering, CARI Journals Limited, vol. 6(2), pages 35-48.
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