Predicting the survival or failure of click-and-mortar corporations: A knowledge discovery approach

摘要: Abstract With the boom in e-business, several corporations have emerged late 1990s that primarily conducted their business through Internet and Web. They come to be known as dotcoms or click-and-mortar corporations. The success of these companies has been short lived. This research is an investigation burst dotcom bubble from a financial perspective. Data statements survived failed used compute ratios, which are analyzed using three classification techniques—discriminant analysis, neural networks, support vector machines find out whether they can predict fate companies. Neural networks perform task better than other techniques. Using discriminant analysis key ratios play major role process prediction identified. Statistical tests validate findings.