Machine learning algorithms have become increasingly common and have affect many aspects of our life. However, because the objective of most of the standard, off-the-shelf machine learning algorithms is to maximize the prediction performance, the results produced by these algorithms could be...

Consumer profiling has become one of the most common practices on online trading platforms. Many platforms strive to obtain and implement technological innovations that allow them to understand and identify consumers' needs, and, thereafter, monetize this capability by charging sellers to...

This paper uses data from two online shopping platforms to investigate the impact of an embedded question and answer system on product sales. This research problem is important as online marketplaces are increasingly incorporating the questioning and answering capability. Yet, the economic...

Firms have considered various forms of incentives for writing reviews, including the use of extrinsic rewards to attract reviewers. Relatedly, this paper studies the implications of monetary incentives for writing online reviews. We encountered a natural experiment design where one review...

Online review platforms have increasingly incorporated the review evaluating system, which allows users to evaluate whether reviews are helpful or unhelpful to assist review readers and encourage review contributors. Although the review helpfulness score has been studied extensively in the...

We investigate an editorial review program for which a review platform supplements user reviews with editorial ones written by professional writers. Specifically, we examine whether and how editorial reviews influence subsequent user reviews (reviews written by non-editor reviewers). A...

While the body of literature on arbitrage opportunity identification is well established in the financial, energy, and real-estate markets, research on arbitrage in the retail marketplace is relatively limited. As arbitrage opportunities in this context differ inherently from other markets, we...