A Success versus Failure Prediction Model for Small Firms

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Bangarigadu, Kaviraj
Nunkoo, Robin
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2022
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Abstract

Understanding the reasons behind the success and failure of SMEs is an important research endeavor. This study develops a success versus prediction model for small and medium enterprises (SMEs). Data were collected from SMEs in Mauritius. Both models were found to be valid and reliable and had good prediction accuracies. The full model, however, was found to have a slight advantage over the reduced model. Capital, financial record keeping and control, management experience, business planning and use of professional advisors were significant predictors SMEs’ success. The theoretical implications of the findings are discussed. The study also provides practical implications for stakeholders.

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Journal of African Business

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This publication has been entered in Griffith Research Online as an advanced online version.

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Subject

Business analytics

Social Sciences

Business

Business & Economics

Small businesses

success

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Citation

Bangarigadu, K; Nunkoo, R, A Success versus Failure Prediction Model for Small Firms, Journal of African Business, 2022

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