Mukherjee, Rajiv Assistant Professor

Rajiv's research agenda is driven by the challenges faced by a firm that undergoes transformation from a product-based business to a platform business model which caters to multiple sides of the market. He examines digital platform design, innovation and pricing strategies for platforms using methodologies that include quantitative modeling, experiment design and machine learning. More specifically, Rajiv has studied the role of authentication in matching markets (e.g., dating and labor markets), impact of consumer's adoption behavior (e.g., multihoming) in the presence of competing platforms, information economics of platforms preannouncements, and the role of consumer behavior on subscription pricing in platform settings.