Business failure prediction model: a case study of technology industry in Thailand

S. Puagwatana, K.D. Gunawardana
  • Institute of Electrical & Electronics Engineers (IEEE)
  • DOI: 10.1109/iemc.2005.1559128

Business failure prediction model: a case study of technology industry in Thailand

What is it about?

Business failure prediction model: a case study of technology industry in Thailand

Why is it important?

Since the large number of parties involved in corporate failure or ‘business failure’, the avoidance of failure has always been an important issue in the field of corporate finance and business management. In this paper, the model was developed to predict business failure in Thailand particular in technology industry by using four variables from Altman’s model and adding one variable to the model.

Perspectives

Kennedy Gunawardana (Author)
University of Sri Jayewardenepura

The model was developed by using the stepwise logistic regression. Samples were developed by using financial information from private limited companies based on technology industry in Bangkok. The result from this empirical study can conclude that financial ratios are useful analytical techniques for forecasting financial health of companies in technology industry.

The following have contributed to this page: Kennedy Gunawardana