Exploring horizontal and vertical interactions within an online advertising supply chain

This dissertation consists of highly related three essays on estimating and exploiting the effect of complementarities or synergies between advertising channels within an online advertising ecosystem. The first essay studies how the recognition of complementarities between different channels in the supply chain and sharing information among players can lead to dramatic increases in profitability and scale of operations. Using a naturally occurring experiment, the second essay investigates the impact of decision making structure (centralized vs. decentralized decision-making) on the decision maker's ability to exploit the synergy effects between advertising channels. Lastly, the third essay explores through simulation the challenges involved in estimating complementarities from a structural econometric model based on the researcher's knowledge of whether the decision makers actually incorporate such effects in their decisions.Information, Risk, and Operations Management (IROM

AI Plus Other Technologies? The Impact of ChatGPT and Creativity Support Systems on Individual Creativity

The emergence of generative artificial intelligence (AI) has triggered a massive technological surge. Software and systems increasingly incorporate generative AI as a fundamental component of their applications. Unfortunately, there is a lack of awareness of the interaction between generative AI and other tools and their consequences and causes. In this research, we explored the impact of the concurrent use of generative AI and creativity support systems (CSS) on users’ creativity. In addition, by categorizing the stimuli provided by the CSS into high and low relatedness, we further investigated the effects of using generative AI with various CSS. By focusing on the interaction effect between generative AI and CSS, this research not only sheds light on the broader implications of generative AI but also serves as a guiding framework for the evolution of future CSS and furthering the enhancement of individual creativity

Haters Gonna Hate? How Removing Downvote Option Impacts Discussion Culture in Online Forum

This study examines the implications of a policy to remove the downvote option from an online discussion forum. Our analysis shows that after the downvote option is removed, both the number of posts and replies significantly increase. Interestingly, the average sentiment of the replies does not change significantly, which suggests that the removal of downvote option does not necessarily lead to users expressing negative impressions in their replies instead. We also find that the frequencies of product attribute related words significantly increase after the policy change. Finally, the average Gini coefficient of topics per post significantly decreases, suggesting that the topic distribution in replies became more diverse after the policy change. The latter two results together suggest that after the policy change users tend to post replies that are richer in information content. Our findings suggest that removing the downvote option may positively influence the discussion culture on the platform