For social networking platforms like Facebook, understanding the peer effects on it can be valuable to many applications, such as designing efficient advertisements with social endorsement. Therefore, we propose a statistical methodology that provides such understanding. These platforms contain...

We study how the sharing of peer success on an enterprise digital platform affects worker productivity. Using sales workers in an information technology service company as our research context, we leverage the unexpected resignation of several human resources staff as an exogenous shock to the...

Online platforms are prone to abuse and manipulations from strategic parties. For example, social media and review websites suffer from sentiment manipulations, manifested in the form of opinion spam and fake reviews. The consequence of such manipulations is the deterioration of information...

This paper studies the strategic network formation in a location-based social network. We build an empirical model of social link creation that incorporates individual characteristics and pairwise user similarities. Specifically, we define four user proximity measures from biography, geography,...

In this article, we propose a new data-analytic approach to measure firms' dyadic business proximity. Specifically, our method analyzes the unstructured texts that describe firms' businesses using the statistical learning technique of topic modeling, and constructs a novel business proximity...

The unprecedented growth of cellular traffic driven by web surfing, video streaming, and cloud-based services poses bandwidth challenges for cellular service providers. To manage the increasing data traffic, cellular service providers are experimenting the use of third-party WiFi hotspots to...

Abstract Motivated by the thriving market of online display advertising, we study a problem of allocating numerous types of goods among many agents who have concave valuations (capturing risk aversion) and heterogeneous substitution preferences across types of goods. The goal is both to provide...

The mobile app market is one of the most successful software markets. As the platform grows rapidly, with millions of apps and billions of users, search costs are increasing tremendously. The challenge is how app developers can target the right users with their apps and how consumers can find...

This research methods article proposes a visual data analytics framework to enhance social media research using deep learning models. Drawing on the literature of information systems and marketing, complemented with data-driven methods, we propose a number of visual and textual content features...

Cryptocurrencies, such as Bitcoin, have been an important factor in some economic activities. For example, Bitcoin is the main payment method for ransomware attackers and retailers on the Darknet. It is therefore useful to understand the features of cryptocurrencies and their economic...