Hummy Song, Operations, Information and Decisions The Wharton School; Christian Terwiesch, Operations, Information and Decisions, The Wharton School; Hessam Bavafa, Wisconsin School of Business; David Asch, Health Care Management, The Wharton School; Xufei Liu, PhD in Operations, Information and Decisions, The Wharton School Abstract: Since ChatGPT was introduced, it has passed…Read More
Competitive procurement is commonly used when government contracts with private firms to provide public services, such as road and bridge construction. However, competitive procurement in health insurance marketing is rarely studied. The nature of the selection market makes the impact of competitive procurement ambiguous ex-ante because the value of winning the bid is determined by downstream competition with self-selection consumers. This project will study the welfare impact of competitive procurement in the selection market in the context of the Medicaid Managed Care market.…Read More
In this study, we plan to examine the business impact of ChatGPT adoption on e-commerce vendors. Our research goal is twofold. First, we examine whether ChatGPT can improve sales performance of e-commerce vendors. Second and more importantly, we study who will benefit more from adopting ChatGPT. …Read More
In today’s world, consumers and businesses frequently require expert advice to make accurate predictions. Much of this advice stems from algorithms, such as recommendation systems and AI prediction models. The goal of this project is to explore how lay people perceive the accuracy of machine predictions.…Read More
This project aims to estimate how the usage of online dating platforms in the United States has impacted high-level relationship outcomes (e.g., marriage and divorce rates, time to marry and stay married) as well as user mental and physical health. To estimate the causal impact of online dating platform usage on such outcomes, we use variation in the penetration of online dating apps and websites across locations (e.g., counties).…Read More
This study is aimed at evaluating the impact of third party cookie elimination on brands and consumers. Our proposed study aims to examine and answer the following questions: What are the effects of the third-party cookie policy ban on consumers and brands…Read More
This research aims to test a novel intervention to help people form healthy habits, such as exercise more. In particular, we will examine how encouraging people to have “placeholders” on their break days, or days off from pursuing their goals, affects their likelihood of reaching their goals.…Read More
In this study, considering the benefits and costs of WFM, we consider two questions: (1) who has an incentive to work from home, (2) how is team coherence and work performance impacted when individuals work from home?…Read More
Research has primarily focused on independently owned ventures, but individuals can also engage in startup activities via intrapreneurship—by launching and operating new ventures inside established organizations. We propose that these internal routes of new-venture formation offer a more inclusive pathway for racial minorities than external routes.…Read More
As startups are at the forefront of adopting AI tools, it is important to understand whether AI can amplify the effects of lean methods in helping startups to be even more responsive to market conditions that before. And if so, to what extent and under what conditions AI can complement lean method in developing products.…Read More
In this research project, we study how the human resource (HR) practices firms use affect how much value they capture from this innovation. Specifically, we analyze how employers and their technology workers divide the value generated when firms invest in new technologies that require workers to invest in new human capital. …Read More
Across three proposed studies, we aim to investigate 1) whether employees view colleagues/employers who disagree with them as bad listeners, despite objective signs of attentive listening; and 2) whether users are more satisfied with chatbots that signal a high level of attitude agreement with the user.…Read More
I will explore whether job-seekers use these signals in a sophisticated or naïve fashion with respect to the political information that leaks through. I will also examine how employers respond to job-seekers who include such signals in their applications.…Read More
Are private and social incentives for medical innovation aligned? This question is important because improvements in health have been a major source of increases in human well-being.…Read More
In this project, we examine the conditions under which such ICOs are optimal and provide guidance for their design. Despite their popularity in practice, uncapped ICOs are understudied and not as well understood as their capped counterparts.…Read More
Pursuing entrepreneurial opportunities is characterized by high uncertainty because entrepreneurs look to find unsatisfied demand with their new products or services. In an attempt to reduce uncertainty, entrepreneurs experiment with potential customers, seeking feedback through interviews or prototypes. It allows the entrepreneurs to learn about the targeted market and whether their idea can satisfy that demand.…Read More
This project examines the downstream consequences, both intended and unintended, of the “play to earn” experience. As the global pandemic was ravaging jobs around the world, blockchain-based “play to earn” games offered people in developing countries the opportunity to earn extra income and even make a living from playing these games.…Read More
Currently, the amount of outstanding loans on the top 3 decentralized lending platforms are over $15 billion – this reflects phenomenal growth, as the space was nonexistent five years ago. What is decentralized lending? And what are the opportunities and risks associated with it?…Read More
This research project aims to understand how innovation propagates through the reallocation of talents, and how this innovation diffusion process is shaped by the competition structure of talent labor markets. Specifically, we exploit various heterogenous shocks to firms, including credit supply shocks, financial constraints shocks, innovation shocks, to examine how firms react in their hiring and firing decisions under different competition structures of talent labor markets.…Read More
This study aims to highlight the generalization problem as a core challenge in organizational learning and strategic decision-making and explore how decision-makers may address this problem via different learning and choice strategies.…Read More
