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

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

Technology in Society, 2025, vol. 81, issue C

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.

Keywords: SME resilience; Artificial intelligence (AI) in SMEs; Strategic foresight; Competitive advantage in SMEs; Long-term sustainability; Adaptive strategies; Digital transformation; AI-Enhanced forecasting (search for similar items in EconPapers)
Date: 2025
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0160791X25000259
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:teinso:v:81:y:2025:i:c:s0160791x25000259

DOI: 10.1016/j.techsoc.2025.102835

Access Statistics for this article

Technology in Society is currently edited by Charla Griffy-Brown

More articles in Technology in Society from Elsevier
Bibliographic data for series maintained by Catherine Liu ().