Innovation Opportunities and Risks Archives

Consumer Cryptocurrency Confidence Index (CCCI or C3i)

The Consumer Cryptoconfidence Index offers the first ongoing, consumer-centered data source specifically intended to capture sentiment related to this market exchange tool. Offering both a novel “snapshot” understanding of the typical consumer’s perception of and interaction with cryptocurrency as well as data that may be fruitfully connected to other marketplace changes, the C3i index will allow us to build our knowledge as the cryptocurrency market evolves. By developing this understanding, we hope to support decision-making among consumers, regulators, investors, and entrepreneurs, while also laying the groundwork for ongoing consumer-centered research in this domain.…Read More

AI Decision Aids and Metacognition

The proposed research focuses on how people use and perceive innovative decision aids, for example, AI tools like ChatGPT. Individuals and organizations are increasingly outsourcing part of their labor or decision-making process to these tools. The proposed research aims to investigate the perception around using AI decision aids, both in terms of its impact on individuals’ metacognitive assessments and observers’ social judgments. …Read More

Innovate or Excavate? A Raw Resource View of Induced Innovation

This project aims to quantify the effect of innovation on commodity price reversions. Commodity prices tend to be stationary with occasional deviations and then revert to their mean prices. There are two big forces behind this reversion. First, there are firms that invest in research that allows them to substitute away from the expensive commodity. Secondly, the commodity producers will expand extraction capacity in response to increased profitability. The former affects the demand side and the latter the supply side. The goal of this project is to estimate the magnitude of the effect of price reversion due to innovation.…Read More

Thinking Structurally: How Structural Attributions Impact Support For Solutions and Willingness to Take Collective Action

Though nearly everyone recognizes the importance of addressing issues like climate change, gender bias, and police brutality, we face bitter and debilitating conflict with respect to the causes of these challenges. In this project, we study the consequences of “structural attributions” for social problems — that is, believing a problem was caused by policies, infrastructure, and/or institutions.…Read More

Upward Digitization and Downward Novelty in Book Industry

Digitization has fundamentally changed how content is produced, distributed, and consumed in cultural industries where novelty is an essential and necessary ingredient for success. Using the book publishing industry as a setting, we investigate whether and how digitization impacts content novelty.…Read More

The Prevalence and Consequences of Algorithms in Hiring: A Field Experiment

We conduct an audit study to measure the prevalence and impact of AI hiring applications on job applicants. We apply to thousands of jobs, treating half of our application resumes by embedding the job posting within the resume such that machines have access to the job posting text when screening candidates, but human evaluators would not. We can then evaluate if algorithmic resume screening is more likely to select resumes that are a closer match to postings. By also varying applicant race and gender, we can determine if these algorithmic selection algorithms have a differential impact on candidates from underrepresented backgrounds.…Read More

Instant Payment Systems and Competition for Deposits

How do instant payment technologies impact financial intermediation? I use municipality-level data on the development of Pix in Brazil and combine it with branch-level banking data to provide evidence that instant payments positively impact deposit market competition—Pix usage increases checking, saving, and time deposits of small banks relative to large banks.…Read More

Pivoting and Experimentation in Lean Startups

While recent scholarly and practitioner research has stressed the importance of learning in entrepreneurial settings, little scholarly work has formally examined the mechanisms through which learning drives behavior in those settings. Specifically, we investigate how an active learning process based on evaluating performance relative to an aspiration drives the pivoting and experimentation behavior of startups in environments with high degrees of uncertainty and potentially intense selection pressures.…Read More

Can Patients Differentiate Between Chatbots and Physicians? Using Conversational AI to Facilitate Provider to Patient Messaging

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 in Health Insurance Market – Evidence from Medicaid Managed Care

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

Does ChatGPT Affect International Trade? Evidence from E-Commerce Vendors

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

Effects of Online Dating Platforms On Marital and Health Outcomes

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

Effects of Privacy Policy in the Online Advertising Industry

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

The Placeholder Effect: Using Break Days to Help Form Habits

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

Work From Home: Who Gains and Who Does Not?

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

Minority Entrepreneurship and Alternative Opportunities inside Established Organizations

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

Artificial Intelligence, Lean Method and Startup Product Innovation

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

Does it Pay to Stand Out?

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

The Consequences of Prosocial Signals That Leak Political Information for Job-Seekers

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

Medical Innovation with Competing Risks: Theory and Evidence

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