Algorithms are becoming increasingly prevalent in the hiring process. Whether it is a recruiter using LinkedIn's recommendation algorithm to find potential candidates or a hiring manager utilizing a resume screening algorithm to shortlist candidates, algorithms are increasingly used to assist...

In algorithmic hiring systems, diversity policies are often inscribed as algorithmic fairness constraints. But algorithms rarely work in isolation; almost always, humans make the ultimate hiring decision based on recommendations from the algorithm. To better understand the downstream effects of...

Sponsored search is the mechanism whereby where advertisers pay a fee to Internet search engines to be displayed alongside organic (non-sponsored) web search results. Based on prior literature, we draw an analogy between these markets and financial markets. We use the analogy as well as the key...

Price dispersion is an important indicator of market efficiency. Internet-based electronic markets have the potential to reduce transaction and search costs, thereby creating more efficient, “frictionless,” markets as predicted by theories in information economics. However, prior work has...

We build an analytical framework to model the strategic interactions between a firm and hackers. Firms invest in security to defend against cyber attacks by hackers. Hackers choose an optimal attack, and they share information with each other about the firm's vulnerabilities. Each hacker prefers...

In this paper, we analyze how different dimensions of a seller's reputation affect pricing power in electronic markets. Given the interplay between buyers' trust and sellers' pricing power, we use text mining techniques to identify and structure dimensions of importance from feedback posted on...

In 2013, the global mobile app market was estimated at over US $50 billion and is expected to grow to $150 billion in the next 2 years. In this paper, we build a structural econometric model to quantify the vibrant platform competition between mobile (smartphone and tablet) apps on the Apple iOS...

We investigate the long-term impact of competing against superstars in crowdsourcing contests. Using a unique 50-month longitudinal panel data set on 1677 software design crowdsourcing contests, we illustrate a learning effect where participants are able to improve their skills (learn) more when...