March 16, 2012
Title: A micro-diffusion model for innovative products with herding
Abstract: Throughout history there have been many examples of innovations that for-some-reason were incredibly successful. On the other hand, there are also numerous examples of innovations that may be deemed as incredible failures. New products are an important source of sales and profit for a firm; furthermore, new product developments typically involve large financial commitments. As a result, forecasting the acceptance of a new product, and marketing the product correctly while keeping in mind market conditions would be a significant advantage to any firm. However, this task can often be difficult. We present a word of mouth diffusion model that aims to shed some light on these conditions, and provide a tool to aid in the planning of the launch of a new innovation. It is able to capture the process by which customers become aware of a new technology via a diffusion function, and the adoption decision at the micro-level.
Biography: Professor Lee is an associate professor in the Department of Mechanical and Industrial Engineering at the University of Toronto. He received a PhD in the area of Operations and Industrial Engineering from the University of Michigan, Ann Arbor, in 2001 and join at the University of Toronto in the same year. His expertise covers a wide range of optimization theories such as stochastic modelling, statistical analysis, mathematical programming, stochastic programming, and theory of sequential decision making under uncertainty. The list of applications that he has addressed in the recent past involves inventory management, transportation planning and scheduling, facility location problems, supply chain management and procurement optimization, valuation of contingent claims, healthcare optimization and dynamic pricing and revenue management.