Modelling small and medium-sized enterprises' failure in Malaysia
Small and medium-sized enterprises (SMEs) are acknowledged as significant contributors to development and growth in the economy. Since failure among SMEs is common, this study intends to build an accurate model that could predict SME failure.An analysis on 132 companies in 2000 to 2010 shows that hi...
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my.uum.repo.182452020-11-04T01:57:20Z http://repo.uum.edu.my/18245/ Modelling small and medium-sized enterprises' failure in Malaysia Abdullah, Nur Adiana Hiau Ahmad, Abd Halim @ Hamilton Zainudin, Nasruddin Md Rus, Rohani HB Economic Theory Small and medium-sized enterprises (SMEs) are acknowledged as significant contributors to development and growth in the economy. Since failure among SMEs is common, this study intends to build an accurate model that could predict SME failure.An analysis on 132 companies in 2000 to 2010 shows that higher gearing and lower profitability are associated with higher failure risk.In addition, the incorporation of the company's age significantly improves the model's predictive accuracy.Our result indicates that young SMEs rely heavily on debt, which leads them into distressed situations.To validate the predictive accuracy of the model, the area under the receiver operating characteristic (ROC) curve is utilised, suggesting that the inclusion of the non-financial variable significantly improves the model.The overall prediction accuracy rate ranges from 75% to 89% for the model developed with non-financial variables when applied to the one-year, two-year, three-year and four-year prior-to-default holdout samples. Inderscience Publishers 2016 Article PeerReviewed Abdullah, Nur Adiana Hiau and Ahmad, Abd Halim @ Hamilton and Zainudin, Nasruddin and Md Rus, Rohani (2016) Modelling small and medium-sized enterprises' failure in Malaysia. International Journal of Entrepreneurship and Small Business, 28 (1). p. 101. ISSN 1476-1297 http://doi.org/10.1504/IJESB.2016.075686 doi:10.1504/IJESB.2016.075686 |
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HB Economic Theory Abdullah, Nur Adiana Hiau Ahmad, Abd Halim @ Hamilton Zainudin, Nasruddin Md Rus, Rohani Modelling small and medium-sized enterprises' failure in Malaysia |
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Small and medium-sized enterprises (SMEs) are acknowledged as significant contributors to development and growth in the economy. Since failure among SMEs is common, this study intends to build an accurate model that could predict SME failure.An analysis on 132 companies in 2000 to 2010 shows that higher gearing and lower profitability are associated with higher failure risk.In addition, the incorporation of the company's age significantly improves the model's predictive accuracy.Our result indicates that young SMEs rely heavily on debt, which leads them into distressed situations.To validate the predictive accuracy of the model, the area under the receiver operating characteristic (ROC) curve is utilised, suggesting that the inclusion of the non-financial variable significantly improves the model.The overall prediction accuracy rate ranges from 75% to 89% for the model developed with non-financial variables when applied to the one-year, two-year, three-year and four-year prior-to-default holdout samples. |
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Article |
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Abdullah, Nur Adiana Hiau Ahmad, Abd Halim @ Hamilton Zainudin, Nasruddin Md Rus, Rohani |
author_facet |
Abdullah, Nur Adiana Hiau Ahmad, Abd Halim @ Hamilton Zainudin, Nasruddin Md Rus, Rohani |
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Abdullah, Nur Adiana Hiau |
title |
Modelling small and medium-sized enterprises' failure in Malaysia |
title_short |
Modelling small and medium-sized enterprises' failure in Malaysia |
title_full |
Modelling small and medium-sized enterprises' failure in Malaysia |
title_fullStr |
Modelling small and medium-sized enterprises' failure in Malaysia |
title_full_unstemmed |
Modelling small and medium-sized enterprises' failure in Malaysia |
title_sort |
modelling small and medium-sized enterprises' failure in malaysia |
publisher |
Inderscience Publishers |
publishDate |
2016 |
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http://repo.uum.edu.my/18245/ http://doi.org/10.1504/IJESB.2016.075686 |
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1684655788988039168 |
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13.211869 |