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- January 2024 (Revised January 2025)
- Case
Colbún and Chile's Energy Transition
By: Forest Reinhardt, Jenyfeer Martinez Buitrago and Mariana Cal
In May 2023, Colbún, Chile’s second-largest electricity generator, plans capacity expansions using renewable energy and storage. This strategy supports Chile’s commitment to carbon neutrality (also known as net zero emissions) by 2050. The case delves into the... View Details
- January 2024
- Background Note
Evaluating Innovations in the Organization of Primary Care: What Type of Innovation Is It and How Well Does It Align with the Six Factors?
By: Regina E. Herzlinger and James Wallace
How can we evaluate if innovative health care ventures can do good—benefit society—and do well—become financially viable? This question is the topic of the first module in the Innovating in Health Care course book.
This note and "Health Stop (A): What Type... View Details
This note and "Health Stop (A): What Type... View Details
- January 2024 (Revised February 2024)
- Case
OpenAI: Idealism Meets Capitalism
By: Shikhar Ghosh and Shweta Bagai
In November 2023, the board of OpenAI, one of the most successful companies in the history of technology, decided to fire Sam Altman, its charismatic and influential CEO. Their decision shocked the corporate world and had people wondering why OpenAI had designed a... View Details
- January 2024
- Case
National Football League and Private 5G
By: Andy Wu, Grant Son and Shuoyu Chen
On September 9, 2021, the National Football League (NFL) designated Verizon as its official 5G partner in a 10-year deal, committed to enhance the experience for NFL teams, players, and fans in stadiums. NFL Commissioner Roger Goodell said, “Verizon will help us... View Details
- January 2024
- Article
Dog Eat Dog: Balancing Network Effects and Differentiation in a Digital Platform Merger
By: Chiara Farronato, Jessica Fong and Andrey Fradkin
Digital platforms are increasingly the subject of regulatory scrutiny. In comparison to multiple competitors, a single platform may increase consumer welfare if network effects are large or may decrease welfare due to higher prices or reduction in platform variety. We... View Details
- January–February 2024
- Article
Shared Service Delivery Can Increase Client Engagement: A Study of Shared Medical Appointments
By: Ryan W. Buell, Kamalini Ramdas, Nazlı Sönmez, Kavitha Srinivasan and Rengaraj Venkatesh
Problem Definition: Clients and service providers alike often consider one-on-one service delivery to be ideal, assuming – perhaps unquestioningly – that devoting individualized attention best improves client outcomes. In contrast, in shared service delivery, clients... View Details
- 2023
- Other Article
The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications
By: Mirac Suzgun, Luke Melas-Kyriazi, Suproteem K. Sarkar, Scott Duke Kominers and Stuart Shieber
Innovation is a major driver of economic and social development, and information about many kinds of innovation is embedded in semi-structured data from patents and patent applications. Though the impact and novelty of innovations expressed in patent data are difficult... View Details
- 2023
- Working Paper
Toward a Better Understanding of Open Ecosystems: Implications for Policymakers
By: Feng Zhu and Carmelo Cennamo
The digital realm is undergoing a significant transformation, marked by the emergence of platform
business models and the concept of open ecosystems. This paper delves into the intricate nature of
ecosystem openness, underscoring the point that the openness of... View Details
- October–December 2023
- Article
A Practical Guide to Conversation Research: How to Study What People Say to Each Other
By: Michael Yeomans, Katelynn Boland, Hanne K. Collins, Nicole Abi-Esber and Alison Wood Brooks
Conversation—a verbal interaction between two or more people—is a complex, pervasive, and consequential human behavior. Conversations have been studied across many academic disciplines. However, advances in recording and analysis techniques over the last decade have... View Details
- 2023
- Working Paper
In-Context Unlearning: Language Models as Few Shot Unlearners
By: Martin Pawelczyk, Seth Neel and Himabindu Lakkaraju
Machine unlearning, the study of efficiently removing the impact of specific training points on the
trained model, has garnered increased attention of late, driven by the need to comply with privacy
regulations like the Right to be Forgotten. Although unlearning is... View Details
- August 2023
- Article
What About the Race Between Technology and Education in the Global South? Comparing Skill-premiums in Colonial Africa and Asia
By: Ewout Frankema and Marlous van Waijenburg
Historical research on the race between education and technology has focused on the West but barely touched upon ‘the rest’. A new occupational wage database for 50 African and Asian economies allows us to compare long-run patterns in skill premiums across the colonial... View Details
- July 2023
- Case
Honeycomb
By: Jeffrey J. Bussgang and Kumba Sennaar
Honeycomb, an audio app enabling seniors to record stories and save family memories, suddenly draws interest from a younger user demographic. The co-founders consider pivoting to better serve this new user demographic. How should they think about strategy, brand, and... View Details
- 2025
- Working Paper
Managing Remote Work Quality: Evidence from Auditing Management Systems Standards
By: Ashley Palmarozzo, Michael W. Toffel and Melissa Ouellet
Remote work has become more common, providing operational flexibility and productivity benefits, but questions remain about whether and how it affects work quality. We investigate the quality effects of remote work in a context in which remote work separates workers... View Details
- July 2023
- Article
Before or After? The Effects of Payment Decision Timing in Pay-What-You-Want Contexts
By: Raghabendra P. KC, Vincent Mak and Elie Ofek
We study how payment decision timing—before versus after product delivery—influences consumer payment under pay-what-you-want pricing. We focus on situations where there is minimal change in consumer uncertainty regarding the product before versus after receiving it.... View Details
- June 2023 (Revised February 2025)
- Case
Doing Business in Lima, Peru
By: Jeffrey T. Polzer, Leonard A. Schlesinger and Max Hancock
This case examines the challenges and opportunities of doing business in Peru. It highlights Peru's economic transformation in the decades leading up to 2024 in the context of its history, culture, and politics. The case gives an overview of some of the main obstacles... View Details
- 2023
- Working Paper
Location-Specificity and Geographic Competition for Remote Workers
By: Thomaz Teodorovicz, Prithwiraj Choudhury and Evan Starr
The precipitous growth of remote work has given rise to a new phenomenon: geographic competition between localities for the physical presence of remote workers. Remote workers with high general human capital may create value for their new destinations and reverse net... View Details
- June 2023 (Revised February 2024)
- Case
Betting on Green Steel
By: George Serafeim and Sofoklis Melissovas
'Betting on Green Steel' traces the innovative journey embarked upon by a group of MBA students who have set out to conceive a novel steelmaker that pioneers the production of green steel. The ensemble is confronted with a series of critical choices that will shape the... View Details
- January 2023
- Article
The Dark Side of Machiavellian Rhetoric: Signaling in Reward-Based Crowdfunding Performance
By: Goran Calic, Rene Arseneault and Maryam Ghasemaghaei
In this study, we explore the impact of Machiavellian rhetoric on fundraising within the increasingly important context of online crowdfunding. The “all-or-nothing” funding model used by the world’s largest crowdfunding platform, Kickstarter, may be an attractive... View Details
- June 2023
- Article
When Does Uncertainty Matter? Understanding the Impact of Predictive Uncertainty in ML Assisted Decision Making
By: Sean McGrath, Parth Mehta, Alexandra Zytek, Isaac Lage and Himabindu Lakkaraju
As machine learning (ML) models are increasingly being employed to assist human decision
makers, it becomes critical to provide these decision makers with relevant inputs which can
help them decide if and how to incorporate model predictions into their decision... View Details
- 2023
- Article
Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators
By: Benjamin Jakubowski, Siram Somanchi, Edward McFowland III and Daniel B. Neill
Regression discontinuity (RD) designs are widely used to estimate causal effects in the absence of a randomized experiment. However, standard approaches to RD analysis face two significant limitations. First, they require a priori knowledge of discontinuities in... View Details