THE IMPACT OF AI INFRASTRUCTURES ON SMALL AND MEDIUM ENTERPRISES (SMES) PERFORMANCE IN EDO STATE NIGERIA

https://doi.org/10.5281/zenodo.14024414

Authors

  • Iyamah Edward .E Department of Business Administration, Wellspring University Benin City Nigeria
  • Oguh Festus A. Ph.D. Department of Business Administration, Wellspring University Benin City Nigeria

Keywords:

AI Infrastructure; SME Performance; Digital Transformation; Data Variables; Computational Variables

Abstract

Artificial Intelligence (AI) is rapidly transforming industries globally. However, its adoption by Small and Medium Enterprises (SMEs) in developing countries like Nigeria remains limited. This study aims to investigate the impact of AI infrastructures on the performance of SMEs in Edo State, Nigeria. The research explores the relationship between AI infrastructure components, including data, computational power, and skilled workforce, and key performance indicators of SMEs. Through a mixed-methods approach, the study analyzes the challenges and opportunities associated with AI adoption, such as data quality, computational resources, and lack of technical expertise. The findings suggest that AI infrastructure can significantly enhance SME performance by improving decision-making, optimizing operations, and enabling innovation. However, several barriers hinder AI adoption, including high costs, lack of awareness, and regulatory challenges. To address these issues, the study proposes strategies such as government support, capacity-building programs, and collaborative partnerships. By understanding the impact of AI infrastructures on SMEs, policymakers, businesses, and researchers can work together to accelerate AI adoption and unlock its potential for economic growth and social development in Nigeria.

Published

2024-11-01

How to Cite

Iyamah , E. .E, & Oguh , F. A. (2024). THE IMPACT OF AI INFRASTRUCTURES ON SMALL AND MEDIUM ENTERPRISES (SMES) PERFORMANCE IN EDO STATE NIGERIA. Interdisciplinary Research Journal of Management and Social Sciences (IRJMSS), 11(4), 1–23. https://doi.org/10.5281/zenodo.14024414

Issue

Vol. 11 No. 4 (2024): October-December

Section

Original Peer Review Articles
Copyright & Licensing

Copyright (c) 2024 Interdisciplinary Research Journal of Management and Social Sciences (IRJMSS)

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

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