Lynn Wu, Operations, Information and Decisions, The Wharton School
Abstract: This proposal explores how the new generation of information technologies (IT) including AI, automation and data analytics, affect how firms innovate. In particular, we focus on the effect of innovation after a firm went through an IPO. Earlier work has documented that innovation characteristics in firms often become more incremental after IPO. We explore how data analytics can mitigate some of the disadvantage on innovation qualities post IPO. We hypothesize that using data analytics can significantly reduce certain innovation quality concerns post-IPO, especially when analytics is used to generate innovations that are a recombination of long-jump technologies.