Financial distress precedes bankruptcy. Most financial distress models actually rely on
bankruptcy data, which is easier to obtain. We obtained a dataset of financially distressed but not …

The corporate failure literature contains a plethora of methodologies used to discriminate
between failed and nonfailed firms since Beaver’s (1 967) univariate comparison of financial …

Despite the growing recognition of industrial design's value in creating sustainable competitive
advantage, few studies have attempted to quantify the contribution that design makes to …

Prior application of neural networks in finance and accounting, notably in bankruptcy
prediction, are limited to back-propagation neural networks. Their well-known disadvantages, …

The potential for industry-relative financial ratios to improve the prediction of firms in financial
distress motivated this comparison of model specifications based on either unadjusted or …

Classroom discussion is one of the most frequently used and often embraced pedagogical
strategies. In attempting to enhance participation quality and discussion effectiveness, there …

For the most part, research purporting to address the issue of financial distress has actually
studied samples of bankrupt companies. Financial distress and bankruptcy are different. In …

It's an initial study, but the analysis indicates that good design is, indeed, good business.
Julie H. Hertenstein, Marjorie B. Platt, and David R. Brown have devised a method for relating …

An exploratory study was conducted to examine management control issues in new product
development (NPD). The study focused on three management control aspects that NPD …

This paper reconsiders the accepted usage of nondeflated financial ratios in statistical models
to differentiate between failed and nonfailed firms. Non‐deflated ratios are hypothesized …