Ecosystem Theory and the Adoption of Artificial Intelligence in SMEs

Given the various risks involved in incorporating artificial intelligence (AI) and machine learning into their business operations, firms are at an inflection point about how to do so. In this paper, we propose that for small medium-sized enterprises (SMEs), which lack capital, large quantities of data, and expertise, the best solution would be to join a pre-existing (or developing) ecosystem. From the two potential alternatives available to an SME, going it alone or depending on a larger corporation, we argue for a third option, the joining of an ecosystem of organizations that use AI systems in their operations, as the golden mean. We conclude with some practical and theoretical implications.

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Publication Details

Journal
Proceedings of the International Conference on AI Research.
Published
2024-12-04
DOI
https://doi.org/10.34190/icair.4.1.3137
Citations
2
Primary Topic
Economic and Technological Innovation
Type
article
Field-Weighted Citation Impact
2.26
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article

Ecosystem Theory and the Adoption of Artificial Intelligence in SMEs

Stelios C. Zyglidopoulos, Sharna Nolan
2 citations
Proceedings of the International Conference on AI Research.
Economic and Technological Innovation
2.26
article

Ecosystem Theory and the Adoption of Artificial Intelligence in SMEs

Stelios C. Zyglidopoulos, Sharna Nolan
article en
2 citations

Abstract

Given the various risks involved in incorporating artificial intelligence (AI) and machine learning into their business operations, firms are at an inflection point about how to do so. In this paper, we propose that for small medium-sized enterprises (SMEs), which lack capital, large quantities of data, and expertise, the best solution would be to join a pre-existing (or developing) ecosystem. From the two potential alternatives available to an SME, going it alone or depending on a larger corporation, we argue for a third option, the joining of an ecosystem of organizations that use AI systems in their operations, as the golden mean. We conclude with some practical and theoretical implications.

Proceedings of the International Conference on AI Research.Vol. 4(1)
Carleton University (CA)
Openalex Percentile: Top 7%
Economic and Technological Innovation
2.26
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