UCLA

Technology advancements in high-tech industries have been the drivers for global economic growth and value creation over the past several decades. In these fast-moving and competitive markets, the process of pricing is complicated and its impacts are multifold. In my dissertation, I study three pricing-related phenomena observed in the semiconductor industry: non-monotonic price-quantity relationship, delayed agreement in negotiation, and price-flexibility-dependent purchase pattern. For each topic, I first analyze a large sales data set obtained from a major microprocessor company to establish the phenomenon, and then I build a theoretical model to explore the underlying rationale and to generate prescriptive insights.