Online applications and services automate communications and transactions between firms and consumers, promising large efficiency gains. However, consumers have been slow to use these online technologies intensively, despite widespread adoption of the internet. Customers frequently undergo a...

New empirical models of consumer demand that incorporate social preferences, observational learning, word-of-mouth or network effects have the feature that the adoption of others in the reference group - the Òinstalled-baseÓ - has a causal effect on current adoption behavior. Estimation of...

Inspired by the ongoing debate regarding the liberalization of the Spanish railway network, we use real-world information on the features of passenger transportation demand and the existing network infrastructure to build a complex experimental setting. We test the efficiency of alternative...

While much is known about optimal design of auctions within the context of a single item for sale, little is known about optimal design of large platform markets like eBay and auto auction houses that house large numbers of concurrent auctions. We attempt a macro-level empirical market design...

Understanding the process of software adoption is of paramount importance to software start-ups. We study a monopolistic seller’s optimal consumer network structure formation (seeding, segmentation, sequencing, and pricing strategies) under network effects. We demonstrate the importance of...

The advance selling strategy is implemented when a firm offers consumers the opportunity to order its product in advance of the regular selling season. Advance selling reduces uncertainty for both the firm and the buyer and enables the firm to update its forecast of future demand. The...

This paper studies the competition between firms for influencers in a network. Firms spend effort to convince influencers to recommend their products. The analysis identifies the offensive and defensive roles of spending on influencers. The value of an influencer only depends on the in-degree...

We model consumer social networks as information collection media and examine two major issues: first, how consumers construct product fit signals based on product feedbacks collected from their social connections to assist with their purchase decisions, and second, how a retailer can benefit...

Public “Beta” launches have become a preferred route of entry into the markets for new software products and web site based services. While beta testing of novel products is nothing new, typically such tests were done by experts within firm boundaries. What makes public beta testing so...

This paper examines the effect of recommender systems on the diversity of sales. Two anecdotal views exist about such effects. Some believe recommenders help consumers discover new products and thus increase sales diversity. Others believe recommenders only reinforce the popularity of already...