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Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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The Economic Benefits of AI Adoption in Small and Medium-Sized Enterprises (SMEs) in Cameroon

Authors: JINGA ADELINE BESANGA;

The Economic Benefits of AI Adoption in Small and Medium-Sized Enterprises (SMEs) in Cameroon

Abstract

This paper will discuss the economic advantages of implementing AI in the SMEs in Cameroon. We study the effect of adopting AI on economic advantages using a quantitative methodology conditioned on the type of industry, the firm size and the experience level of the managers. We found that the industry type is a good predictor of economic benefits with the coefficient of 0.546 and p -value of 0.012. On the contrary, the adoption of AI, efficiency, and productivity, size, and managerial experience is not statistically significant. The R-squared is equal to 0.398 meaning that the model explains 39.8 percent of the variance in economic benefits. The results of the study would be important to policymakers and business administrators who want to encourage SMEs in Cameroon to facilitate the overall development of the economy. The findings indicate the industry type as a broader determinant of economic advantages and that the AI adoption may not be a major forecaster of economic advantages in SMEs. The project has added to the scholarship regarding the effects of completing the process of adoption of AI among SMEs and has offered information which can be utilized by policymakers and business strategists.

Keywords

Artificial Intelligence, Competitiveness, Entrepreneurship, Productivity Small and Medium-Sized Enterprises (SMEs), Small Businesses

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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