Business failure prediction models would be to a great significant to a considerable to a lot of peoples especially for the investors, banks, suppliers and shareholders particularly in project investment. The emphasis on the prospective value of the models is shown through the abundance
of business failure prediction models developed, and both the academic world and the industry have seen a critical increment in the interest in the development of prediction models for business failure in recent years. In this light, models that predict business failure work to anticipate
either a business will succeed or fail. The most used models are those grounded on accounting variable, including Beaver (1966), Altman (1968), Zmijewski (1984), and Ohlson (1980). Furthermore, univariate, discriminant, logit and probit analysis are the most well-known methodologies. From
the review of various prediction models in this study, the research aims to identify models which will help in decision-making for the best business failure prediction to be applied.
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Business Failure Prediction;
Document Type: Research Article
Faculty of Civil Engineering, University Technology Mara (Uitm), 40000 Shah Alam, Selangor, Malaysia; School of Construction Business and Project Management, Faculty of Civil Engineering, University Technology Mara (Uitm), 40000 Shah
Alam, Selangor, Malaysia
Publication date: November 1, 2017
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ADVANCED SCIENCE LETTERS is an international peer-reviewed journal with a very wide-ranging coverage, consolidates research activities in all areas of (1) Physical Sciences, (2) Biological Sciences, (3) Mathematical Sciences, (4) Engineering, (5) Computer and Information Sciences, and (6) Geosciences to publish original short communications, full research papers and timely brief (mini) reviews with authors photo and biography encompassing the basic and applied research and current developments in educational aspects of these scientific areas.
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