Apart from the loss of time and money, disputes between public authority and private partner in China’s public-private partnership (PPP) projects are destroying the government’s image of PPP support and the private partner’s investment confidence. This article aims to explore the main...

We demonstrate the value of machine learning in accounting through a detailed examination of litigation risk, an important and frequently used estimate in the literature. We evaluate a comprehensive set of twelve machine learning techniques and benchmark their performance against the logistic...

Professor Colleen Chien recently developed an innovative and important model that relies on a patent's "after-acquired" characteristics to predict the chances that the patent will be involved in litigation. This comment critiques Professor Chien's model by identifying certain weaknesses,...

The patent system - and information about the patent system - is becoming more available and more digitalized. One area of interest involves using newly available information to predict patent litigation - to identify patents that will in the future be litigated. If patents that will be...

Patent lawsuits are disruptive, unpredictable, and costly. The inability to anticipate patent litigation makes it practically uninsurable, exposes companies to late-stage suits, and drives companies to rapidly accumulate patents in order to ward off litigation. This article confronts this...