Innovation Management Research

Sophia Pink, PhD Candidate, Operations, Information, and Decisions, The Wharton School; Jose Cervantez, PhD Candidate, Operations, Information, and Decisions, The Wharton School; Katy Milkman, Operations, Information, and Decisions, The Wharton School Abstract: When people want to build multiple habits, is it better to start them all at once or to layer them on gradually? This project ...Read More

Tiantian Yang, Management, The Wharton School Abstract: Female-led ventures in female-focused industries (e.g., FemTech) face a unique tension between authenticity and perceived legitimacy in the eyes of potential employees. While identity-based lived experience can signal market insight and mission alignment, it may also conflict with gendered norms about who leads high-growth ventures. This project explores how ...Read More

Private Equity (PE) investment in healthcare is growing rapidly. Because medical-technology firms shape healthcare innovation, spending, and quality—and rely heavily on public insurance reimbursements—PE ownership in this sector could have substantial long-term implications for innovation, costs, and patient outcomes. Yet most existing research on PE in health care focuses on care delivery, despite 63% of ...Read More

Standard Pigouvian theory predicts that externalities should be corrected at the margin. However, demand distortions such as credit constraints or behavioral biases create a wedge between marginal benefit and marginal cost. While these distortions can lower aggregate abatement, they can increase the efficiency of green subsidy spending. In theory, this happens through two channels: by ...Read More

For many students, asking ChatGPT for homework help has replaced raising a hand in class or going to office hours. As AI becomes a default classroom tutor, educators are grappling with a new question: how do you design these tools so they actually support learning?  A new paper from Angel Tsai-Hsuan Chung (Wharton, PhD Candidate in OID), Botong Zhang (Penn), ...Read More

Artificial intelligence has already proven it can perform specific medical tasks, such as interpreting X-rays or flagging risks in patient data. But caring for patients is not a series of isolated decisions. It is a dynamic process that unfolds over time, requiring clinicians to interpret signals from multiple sources and intervene as a patient’s condition ...Read More

The U.S. Department of Defense is one of the most complex organizations in the world — so how is it approaching generative AI? A new report from Wharton’s Prof. Serguei Netessine and WG’25 Andrew Stiles examines the DoD’s early steps toward integrating GenAI and highlights lessons that industry leaders can…Read More Read More

One of the most important features on which to judge the merit of any academic paper is the strength of its theory. Although commentary about what constitutes strong theory is widespread, there is no holistic account of the full range of existing perspectives. To address this oversight, I construct a typology composed of six dimensions ...Read More

We propose and test a novel decision-making bias called “outlier neglect.” In general, when evaluating people, places, and opportunities with many features, people focus on the average of those features. For example, when hiring a team, people want the average performance of the team to be high, so they try to hire individuals who perform ...Read More

Consumers who want access to renewable energy have two main options: install renewable energy generation equipment “behind” the electrical meter (e.g., solar panels on the roof) or buy energy from a utility company, which would then source energy from generation companies. The first approach has obvious diseconomies of scale. It is only available to ...Read More