Effect of AI Adoption on Competitive Advantage of Small and Medium Enterprises in Europe

Authors

  • Filieri Raguseo Arroyabe University of Birmingham, United Kingdom
  • Marikan Mariyana Wahed University of Birmingham, United Kingdom

Abstract

Artificial intelligence adoption plays a vital role in enhancing competitive advantage, especially for Small and Medium Enterprises operating in increasingly digitalized European markets. This study investigated the effect of AI adoption on competitive advantage of European SMEs through a comprehensive systematic literature review analyzing multiple empirical studies across diverse European contexts. The research found that AI adoption significantly enhances competitive advantage in European SMEs by improving operational efficiency, decision-making capabilities, and market positioning. Literature analysis revealed that European SMEs demonstrated superior performance outcomes, with 87% reporting increased productivity, 86% experiencing improved effectiveness, and 86% achieving business growth when AI technologies were successfully implemented. The study also established that digital capabilities and innovation competencies serve as primary drivers of AI adoption success, while leadership commitment and organizational readiness play crucial moderating roles in determining competitive outcomes. Moreover, the study found that when European SMEs combined AI adoption with complementary digital technologies such as IoT and Big Data Analytics, organizations observed enhanced revenue growth and sustainable competitive positioning. Companies using generative AI achieved average returns of $3.7 for every dollar invested, with top performers reaching $10.3 returns. The research also observed that strategic AI implementation helped mitigate resource constraints and technological limitations commonly faced by SMEs, thereby reinforcing their ability to compete with larger enterprises in digital markets. These findings support the Resource-Based View and Technology-Organization-Environment theoretical frameworks emphasizing the importance of internal capabilities and strategic alignment in determining AI adoption success and competitive advantage creation. The study concluded that AI adoption is a critical strategic determinant of competitive advantage for European SMEs, particularly when implementation is supported by adequate digital infrastructure, skilled human capital, and effective organizational learning processes. The study recommended that European SMEs develop comprehensive AI adoption strategies that address both technological and organizational readiness factors, while policymakers should design targeted support mechanisms to enhance SME access to AI technologies and promote digital skills development across the European business ecosystem.

Keywords: Artificial Intelligence, Competitive Advantage, Small and Medium Enterprises, Europe

Author Biographies

  • Filieri Raguseo Arroyabe , University of Birmingham, United Kingdom

    Department of Marketing, University of Birmingham, United Kingdom

  • Marikan Mariyana Wahed, University of Birmingham, United Kingdom

    Department of Marketing, University of Birmingham, United Kingdom

References

Alzaghal, Q. K., Salah, O. H., Ayyash, M. M., Kamal Alzaghal, Q., & Hasan Salah, O. (2024). Leveraging Artificial Intelligence for SMEs' sustainable Competitive Advantage: The Moderating Role of Managers Digital Literacy. Journal of Theoretical and Applied Information Technology, 102(21).

Ardito, L., Filieri, R., Raguseo, E., & Vitari, C. (2024). Artificial intelligence adoption and revenue growth in European SMEs: synergies with IoT and big data analytics. Internet Research.

Arroyabe, M. F., Arranz, C. F., De Arroyabe, I. F., & de Arroyabe, J. C. F. (2024). Analyzing AI adoption in European SMEs: A study of digital capabilities, innovation, and external environment. Technology in Society, 79, 102733.

Badghish, S., & Soomro, Y. A. (2024). Artificial intelligence adoption by SMEs to achieve sustainable business performance: application of technology–organization–environment framework. Sustainability, 16(5), 1864.

Dobre, M. (2022). An Evaluation of Technological, Organizational and Environmental Determinants of Emerging Technologies Adoption Driving SMEs’ Competitive Advantage (Doctoral dissertation).

Farmanesh, P., Solati Dehkordi, N., Vehbi, A., & Chavali, K. (2025). Artificial Intelligence and Green Innovation in Small and Medium-Sized Enterprises and Competitive-Advantage Drive Toward Achieving Sustainable Development Goals. Sustainability, 17(5), 2162.

Huseyn, M., Ruiz-Gándara, Á., González-Abril, L., & Romero, I. (2024). Adoption of artificial intelligence in small and medium-sized enterprises in Spain: The role of competences and skills. Amfiteatru Economic, 26(67), 848-866.

Jalil, M. F., Lynch, P., Marikan, D. A. B. A., & Isa, A. H. B. M. (2025). The influential role of artificial intelligence (AI) adoption in digital value creation for small and medium enterprises (SMEs): does technological orientation mediate this relationship? AI & SOCIETY, 40(3), 1875-1896.

Mariyana, A. L. D., Annaufal, A. I., & Roostika, R. (2024). The Impact of artificial intelligence on small and medium enterprises in Yogyakarta. In Digital technology and changing roles in managerial and financial accounting: Theoretical knowledge and practical application (pp. 347-354). Emerald Publishing Limited.

Muminova, E., Ashurov, M., Akhunova, S., & Turgunov, M. (2024, April). AI in small and medium enterprises: Assessing the barriers, benefits, and socioeconomic impacts. In 2024 International Conference on Knowledge Engineering and Communication Systems (ICKECS) (Vol. 1, pp. 1-6). IEEE.

Nevi, G., Pizzichini, L., Bastone, A., & Dezi, L. (2025). Adoption of AI by micro and small health enterprises: effects of entrepreneurial orientation on the TOE model. European Journal of Innovation Management.

Schönberger, M. (2023). Artificial Intelligence for Small and Medium-Sized Enterprises: Identifying Key Applications and Challenges. Journal of Business Management, 21.

Soni, V. (2023). Impact of generative AI on small and medium enterprises’ revenue growth: the moderating role of human, technological, and market factors. Reviews of Contemporary Business Analytics, 6(1), 133-153.

Syed, H. I. (2024). The Impact of EU GDPR on EU SMEs Competitive Advantage.

Wahed, M. K. Y. A., Al-shanableh, N., Saatchi, S. G., thwaib, B. M. S. A., Al-Shorman, H. M., Alzboon, M. S., ... & Shelash, S. I. (2025). The influence of relative advantage on the acceptance of artificial intelligence in Jordanian SMEs. In Intelligence-Driven Circular Economy: Regeneration Towards Sustainability and Social Responsibility–Volume 1 (pp. 119-133). Cham: Springer Nature Switzerland.

Weiss, R. E., & Vance, D. (2025). The Rise of Artificial Intelligence in Small and Medium Enterprises (SMEs): Adoption Patterns and Competitive Implications in the United States. JBMI Insight, 2(3), 1-11.

Zábojník, R. (2024). The impact of artificial intelligence on the sustainable development of small and medium-sized enterprises in the Slovak business environment. Marketing Identity, 777.

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Published

2025-09-04

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Articles

How to Cite

Arroyabe , F. R. ., & Wahed, M. M. . (2025). Effect of AI Adoption on Competitive Advantage of Small and Medium Enterprises in Europe. JBMI Insight, 2(4), 11-21. https://jbmipublisher.org/system/index.php/home/article/view/74