With the increasingly popular use of algorithmic-based decision support systems, the issue of discrimination in machine learning has attracted increasing concerns. Essentially, when an algorithm is applied to prediction tasks that are related to human, a prediction algorithm with the objective...

The issue of information uncertainty in the context of information security is increasingly important. Many users lack the ability to correctly estimate the true quality of the security software they purchase, as evidenced by some anecdotes and even some academic research. Yet, most of the...

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...

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...

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...

The COVID-19 pandemic has triggered a panic-buying behavior around the globe. As a result, many essential supplies were consistently out-of-stock at common point-of-sale locations. Unfortunately, such a hoarding behavior disproportionately puts vulnerable groups of people at risk as they cannot...