We study revenue volatility of a monopolist selling a divisible good to consumers in the presence of local network externalities among consumers. Each consumer's utility depends on her consumption level as well as the consumption levels of her neighbors in a network through network...

Motivated by the emergence of sharing economy, we consider a network of socially connected newsboys. Each newsboy faces some random demand and makes a newsvendor stocking decision. The excess stock of a newsboy can be shared to satisfy the unsatisfied demand from a connected newsboy. We measure...

In online reward-based crowdfunding platforms, backers often pledge more money than necessary. This paper studies the magnitude, types, and motivations of such prosocial funding behavior, using a pledge-level data set from Kickstarter. First, prosocial funding was common (22% of backers),...

We study how crowdfunding, as a source of public information, affects competing venture capital (VC) firms' investment decisions, as well as their profitability. Our economy consists of one startup, one crowdfunding platform, and two VC firms with private prior beliefs about the startup's...

We study how crowdfunding, as a source of public information, affects competing venture capital (VC) firms' investment decisions, as well as their profitability. Our economy consists of one startup, one crowdfunding platform, and two VC firms with private prior beliefs about the startup's...

Problem definition: This paper provides a theoretical investigation into the value and design of traceability-driven blockchains under different supply chain structures. Methodology/results: We use game theory to study the quality contracting equilibrium between one buyer and two suppliers and...

Revenue management (RM) is the application of analytical methodologies and tools that predict consumer behavior and optimize products' availability and prices to maximize a firm's revenue or profit. In the last decade, data has been playing an increasingly crucial role in business...

Ride-hailing platforms offer riders pooling services to share rides with other riders. The introduction of shared rides mitigates the driver shortage and reduces rider wait times, especially in rush hours, but it may compromise riders' privacy, space, and security. We study a queueing model in...

Problem definition: This paper provides a theoretical investigation into the value and design of traceability-driven blockchains under different supply chain structures. Methodology/results: We use game theory to study the quality contracting equilibrium between one buyer and two suppliers and...

The classical SIR model and its variants have seen great success in understanding and predicting infectious diseases' spread. To better capture the COVID-19 outbreak, we extend the SIR model to incorporate the limited testing capacity and account for asymptomatic people. Building on the SIR...