Extant studies have focused on the sales benefits of product recommendation networks;
however, the competition effects of such networks have been overlooked. Understanding the …

We investigate the impact of collaborative filtering recommender algorithms (eg, Amazon's
“Customers who bought this item also bought”) commonly used in e-commerce on sales …

How do recommender systems induce consumers to buy? Extant research neglects to
examine the causal paths through which the use of recommender systems leads to …

Cryptocurrencies such as Bitcoin are breakthrough financial technologies that promise to
revolutionize the digital economy. Unfortunately, their long-term adoption in the business …

Online markets for mental health care (OMMH) allow clients to connect remotely with
counselors to receive psychological therapy. Rooted in signaling theory and in the specific …

We present results from a large-scale, randomized field experiment on Spotify testing the
effect of personalized recommendations on consumption diversity. In the experiment, both …

Online platforms have emerged as a dominant business model in numerous industries in the
new millennium. In light of the substantial and burgeoning body of empirical platform …

We investigate the moderating effect of product attributes and review ratings on views,
conversion| views (conversion conditional on views), and final conversion of a purchase …

Recommendation systems are an increasingly prominent part of the web, accounting for up
to a third of all traffic on several of the world's most popular sites. Nevertheless, little is …

Recommendation systems are widely used to promote product visibility and sales. However,
past research suggests that they primarily benefit market superstars and therefore, can be …