Title

A meta-analysis of the effect of task properties on business failure prediction accuracy.

SelectedWorks Author Profiles:

Wenshan Lin

Document Type

Article

Publication Date

2000

ISSN

0882-6110

Abstract

The usefulness of financial accounting ratios has long been documented in statistical models of business failure prediction. However, behavioral studies to date have reported inconsistent results, with prediction accuracy ranging from 41 percent to 93 percent. These studies have also presented varying explanations for the inconsistencies. Data from 33 previous experimental results were analyzed in this meta-analysis to determine the moderating effects of differences in task properties on failure prediction accuracy. As expected, all task properties were found to have a significant moderating effect on prediction accuracy. These findings have important implications for future research and practice in the prediction of business failure and similar tasks.

Comments

Citation only. Full-text article is available through licensed access provided by the publisher. Members of the USF System may access the full-text of the article through the authenticated link provided.

Publisher

Elsevier