Following the 8th Global Conference on Business & Economics, held in Florence in October 2008, the International Journal of Business & Economics decided to publish a special issue with a maximum of twenty conference contributions in the areas of strategic management and finance, all featuring...

From as early as the 1960s, there have been a large number of studies aimed at assessing the application of statistical models to corporation data with a view to predicting business failure. This issue has become increasingly important in recent years, as the New Basel Capital Accord (Basel II)...

Previous empirical research shows the effectiveness of using sets of economic-financial ratios for company default prediction statistical modeling. However, such research rarely focuses on small enterprises (SEs) as specific units of analysis. In Italy, SEs account for more than 98% of all firms...

Most studies of enterprise default prediction modeling use financial ratios as independent variables, and focus on large and medium sized enterprises. In this study, we applied logistic regression to a sample of 860 Italian small manufacturing firms, and built a business prediction model based...

In our study, logistic regression was applied to a sample of 760 Italian small enterprises (SEs) in order to test the accuracy of a company default prediction model based on both economic-financial ratios and variables regarding managerial characteristics. We then compared the results obtained...

Purpose of the paper: To test whether the qualitative variables regarding the territory and/or the firm-territory relationship can improve the accuracy rates of small enterprise business failure prediction models.Methodology: We applied logistic regression to a sample of 736 Italian small...

A large number of empirical studies have used univariate and multivariate statistical methods when examining the effectiveness of appropriately selected corporation data in constructing company default prediction models. Having accurate evaluation methods has become increasingly important since...