**update** Han has happily accepted an offer at Monash University.
Just wanted to put this out as an ad of sorts. My PhD student, Han Chen, is currently on the marketing academic job market. He does really interesting research on messaging effects using large scale lab and field experiments. His job market paper (currently r&r at JMR) is on the complementary effects of reminding users of product assortment curated by AI vs. human experts. In this paper, we find that salient reminders of AI curation shifts consumer preferences towards previously consumed (book) categories while similar reminders of human curation shifts consumer preferences towards new categories. These preference shifts are aligned with lay beliefs about the comparative advantage of AI vs. humans as one of personalization driven by platform-specific consumption data. Han also has a second paper under review on tensile discount claims (up to 60% off, at least 20% off, between 20 to 60% off) and the message framing effects on driving traffic, conversions, and net revenue. For his dissertation, we are also applying reinforcement learning to optimize premium page placement of recommendation sets (popular on platform, discounted, etc.) on a mobile reading platform.
Please reach out to Han (or me) if you are interested in learning more about his research!
Dr. Yang Wang 