Many internet firms use A/B tests to make product decisions. In an A/B test, the typical objective is to measure the total average treatment effect (TATE), which measures the difference between the average outcome if all users were treated and the average outcome if all users were untreated....

Online e-commerce platforms such as Amazon and Taobao connect thousands of sellers and consumers every day. In this work, we study how such platforms should rank products displayed to consumers, and utilize the top and most salient slots. We present a model that considers consumers' search costs...

The use and popularity of online auctions is exploding all over the world. Bidding strategies are important because they are related to an auction's final price and ultimately its revenue. This study investigates the bidding strategies adopted by online bidders and the factors of the bidders,...

A growing body of empirical literature finds that consumers are relatively limited in how much they search over product characteristics. We assemble a dataset of search and purchase behavior from eBay to quantify the returns, and thus implied costs, to consumer search on the internet. The...

Amid the technologies which have caught the attention of business in recent times, the website has been one of the most discussed and debated. In light of the recent dotcom bust, many critics are arguing that websites are less valuable in commercial environments than first thought. eBay however...

Growth of online auctions and other forms of e-commerce has been hampered by concerns about the privacy, integrity, and security of online transactions. To earn the trust of their participants, new e-commerce organizations, like traditional organizations, have to reach the state of expectations...