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

Jerry W. Lin, Mark I. Hwang

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

3 Scopus citations

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.

Original languageEnglish
Title of host publicationAdvances in Accounting
PublisherJAI Press
Pages135-149
Number of pages15
Volume17
ISBN (Print)0762306114, 9780762306114
DOIs
StatePublished - 2000

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