There has been substantial work exploring strategies, both theoretical and empirical, for selling and buying in online auctions. However, much of this work has considered single auctions in isolation, partially because it is hard to examine multiple simultaneous auctions using traditional math...

Although third-party trust seals have been in use for long by online retailers, systematic studies of the effectiveness of these trust signaling mechanisms are scarce. Using a unique dataset of over a quarter million online transactions across 493 online retailers, this study seeks to...

The growing popularity of online dating websites is altering one of the most fundamental human activities: finding a date or a marriage partner. Online dating platforms offer new capabilities, such as extensive search, big-data based mate recommendations and varying levels of anonymity, whose...

Behavioral Big Data (BBD) refers to very large and rich multidimensional datasets on human and social behaviors, actions and interactions, which have become available to companies, governments, and researcher. A growing number of researchers in social science and management fields acquire and...

This research investigates the impact of a large-scale assortment reduction on customer retention, utilizing a model we develop to explore the effect on sales at both the store level and the category level simultaneously. We apply our model to a data set provided by an online grocer. The data...