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

✍ Scribed by Jerry W. Lin; Mark I. Hwang

• Publisher: Elsevier Science
• Year: 2000
• Tongue: English
• Weight: 730 KB
• Volume: 17
• Category: Article
• ISSN: 0882-6110
• DOI: 10.1016/s0882-6110(00)17009-9

✦ Synopsis

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 .