The current kidney allocation system in the United States fails to match donors and recipients well. In an effort to improve the allocation system, the United Network of Organ Sharing (UNOS) defined factors that should determine a new allocation policy, and particularly patients' potential...

Generating multivariate Poisson random variables is essential in many applications, such as multi echelon supply chain systems, multi-item / multi-period pricing models, accident monitoring systems, etc. Current simulation methods suffer from limitations ranging from computational complexity to...

We introduce a tree-based approach for assessing the performance impact of diverse self-selected interventions in management research. Our approach, which takes advantage of "Big Data", or observational data with large sample sizes and a large number of variables, offers important advantages...

The main goal of biosurveillance is the early detection of disease outbreaks. Advances in technology have allowed the collection, transfer, and storage of pre-diagnostic information in addition to traditional diagnostic data. Such data carry the potential of an earlier outbreak signature. In...

Prediction and variable selection are major uses of data mining algorithms but they are rarely the focus in social science research, where the main objective is causal explanation. Ideal causal modeling is based on randomized experiments, but because experiments are often impossible, unethical...

In the United States, more than 90,000 candidates are currently waiting for kidney transplantation, with an annual increase of about 20,000 candidates. The current allocation policy poorly matches donors with recipients. We present a two-phase allocation policy that combines an integer...

Creating a loyal customer base is one of the most important, and at the same time, most difficult tasks a company faces. Creating loyalty online (e-loyalty) is especially difficult since customers can "switch" to a competitor with the click of a mouse. In this paper we investigate e-loyalty in...

Artificial intelligence (AI) chatbots are commonly designed to exhibit human-like behaviors, such as expressions of empathy or humor. Yet, it is unclear whether users always respond positively to such anthropomorphism—a concern that is particularly salient in customer-service interactions, a...

Incivility in online commenting sections can create a hostile environment and result in the silencing of vulnerable voices. Accordingly, content websites and social media platforms have an ethical responsibility - one that aligns with their strategic interests - to minimize users' exposure to...