Fraud cycles

Fraud is an ancient crime and one that annually causes hundreds of billions of dollars in losses. We examine the behavioral patterns over time of different types of frauds, which illustrate cyclical frequencies. We develop an evolutionary theory that suggests cyclic behavior in frauds should be common.fraud, cycle, steady state

Understanding suppliers\u27 participation in business-to-government (B2G) electronic auction markets in the thai context

This paper investigates online knowledge sharing behaviour in Baidu Knows, a platform sponsored by the largest search engine company Baidu in China. We developed a spider engine to collect data from over 2 million questions posted at Baidu Knows. The data collected allows us to profile registered members, to answer questions such as who are the main driving force of those online communities and their attributes, and who are the free-riders seldom posting and answering questions. We also test several hypotheses in explaining the motivations of knowledge sharing, and the quality of such knowledge sharing. Our results indicate that there is a large proportion of users who seldom answer questions, but always ask questions. Although their behaviour seems selfish at the surface, they are actually the key factors driving the growth of online knowledge sharing communitie

The Tradeoff of the Commons Under Stochastic Use

Abstract We develop a model of scarce renewable resources to study the commons problem. Our model formulation differs from the existing literature in that the use of the commons is assumed to be stochastic in nature. One example is the microwave spectrum for mobile and wireless communications. We investigate three mechanisms of resource allocation: free usage, the exclusive franchise, and a regulated monopoly. We show that the welfare tradeoff among them depends on the commons' characteristics and usage patterns. In particular, we find that property rights are not always the best solution. We then make three extensions that apply to spectrum allocations. Journal of Economic Literature Classification Number: C60, H42, I31, L5