With the emergence of social media and Web 2.0, broadcasting in the online environment has evolved into a new form of marketing due to the much broader reach enabled by information technology. This paper quantifies the effect of artists’ broadcasting activities on a well-known social media...

Despite the widespread adoption of recommender systems by online investment platforms, empirical research into their impact on online investors’ behaviors is scarce. Using data from a global e-commerce platform, the authors of this study adopt a regression discontinuity design and causally...

The emergence of the maker movement has democratized the production of goods and increased consumer demand for designer goods, leading to the founding of e-commerce platforms such as Etsy, Fab, and Gilt. Designers with little brand recognition have to overcome high buyer search costs in order to...

We study how individual smartphone users dynamically use mobile data every day facing limited monthly data plans. Employing a unique data set on users' daily data usage from a leading mobile carrier in China, we develop a dynamic structural model in which an individual user maximizes her data...

Internet retailers have been making significant investments in web technologies, such as zoom, alternative photos, and color swatch, that are capable of providing detailed product-oriented information and, thereby, mitigating the lack of “touch-and-feel,” which, in turn, is expected to lower...

Despite the widespread adoption of search and recommendation technologies on the Internet, empirical research that examines the effect of these technologies is scarce. How do online consumers use these technologies? Does consumers’ technology usage have an effect on the sales to them or their...

The Internet is a much more accountable and measurable medium than traditional media. The unique property of the Internet being a medium with bidirectional information flows has enabled performance-based pricing models that tie online advertising payments directly to campaign measurement data...

On-demand service platforms face a challenging problem of forecasting a large collection of high-frequency regional demand data streams that exhibit instabilities. This paper develops a novel forecast framework that is fast and scalable, and automatically assesses changing environments without...