Publications
Publications
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- All HBS Web
(10,863)
- Faculty Publications (924)
- 2023
- Working Paper
Black-box Training Data Identification in GANs via Detector Networks
By: Lukman Olagoke, Salil Vadhan and Seth Neel
Since their inception Generative Adversarial Networks (GANs) have been popular generative models across images, audio, video, and tabular data. In this paper we study whether given access to a trained GAN, as well as fresh samples from the underlying distribution, if... View Details
- October 2023
- Article
Improving Regulatory Effectiveness Through Better Targeting: Evidence from OSHA
By: Matthew S. Johnson, David I. Levine and Michael W. Toffel
We study how a regulator can best target inspections. Our case study is a U.S. Occupational Safety and Health Administration (OSHA) program that randomly allocated some inspections. On average, each inspection averted 2.4 serious injuries (9%) over the next five years.... 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
- 2023
- Book
Move Fast and Fix Things: The Trusted Leader's Guide to Solving Hard Problems
By: Frances X. Frei and Anne Morriss
Speed has gotten a bad name in business, much of it deserved. When Facebook made "Move fast and break things" an informal company motto, it fueled a widely held belief that we can either make progress or take care of people, one or the other. That a certain amount of... View Details
- 2023
- Working Paper
The Customer Journey as a Source of Information
By: Nicolas Padilla, Eva Ascarza and Oded Netzer
In the face of heightened data privacy concerns and diminishing third-party data access,
firms are placing increased emphasis on first-party data (1PD) for marketing decisions.
However, in environments with infrequent purchases, reliance on past purchases 1PD... View Details
- 2023
- Book
Your True Moral Compass: Defining Reality, Responsibility, and Practicality in Your Leadership Moments
This book presents a new, powerful, and practical way of making final decisions on the hard, complex, uncertain problems of life and work. What if you have looked at the data, talked with trusted colleagues, and applied all the relevant managerial and ethical... View Details
- September 2023 (Revised June 2024)
- Case
Kaspi.kz: Building Trust through Innovation
By: Sandra J. Sucher, Fares Khrais and Marilyn Morgan Westner
This case is written to help students explore how companies can maintain and develop trust while innovating, how to identify and respond effectively to warning signs that they may not be as trusted as they believe, and how being trusted can aid in expanding and growing... View Details
- September 2023
- Case
Ada: Cultivating Investors
By: Reza Satchu and Patrick Sanguineti
Mike Murchison, co-founder and CEO of Ada, has an enviable dilemma. Launched in 2016 by Murchison and his co-founder David Hariri, Ada is an AI-native company that aims to revolutionize how businesses approach customer service. The company has already attracted a buzz,... View Details
- September 2023 (Revised December 2023)
- Case
TetraScience: Noise and Signal
By: Thomas R. Eisenmann and Tom Quinn
In 2019, TetraScience CEO “Spin” Wang needed advice. Five years earlier, he had cofounded a startup that saw early success with a hardware product designed to help laboratory scientists in the biotechnology and pharmaceutical spaces more easily collect data from... View Details
Keywords: Entrepreneurship; Business Growth and Maturation; Business Organization; Restructuring; Forecasting and Prediction; Digital Platforms; Analytics and Data Science; AI and Machine Learning; Organizational Structure; Network Effects; Competitive Strategy; Biotechnology Industry; Pharmaceutical Industry; United States; Boston
- 2023
- Working Paper
Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality
By: Fabrizio Dell'Acqua, Edward McFowland III, Ethan Mollick, Hila Lifshitz-Assaf, Katherine C. Kellogg, Saran Rajendran, Lisa Krayer, François Candelon and Karim R. Lakhani
The public release of Large Language Models (LLMs) has sparked tremendous interest in how humans will use Artificial Intelligence (AI) to accomplish a variety of tasks. In our study conducted with Boston Consulting Group, a global management consulting firm, we examine... View Details
- September 2023
- Teaching Note
Shad Process Flow Design Exercise: Kick-Off Class
By: Willy C. Shih
The Shad Process Flow Design Exercise is a simulation designed to help students cement what they learn in the process fundamentals section of the RCTOM course by giving them the opportunity to translate classroom concepts into actual physical processes and experience... View Details
- September 2023 (Revised April 2024)
- Case
Atomwise: Strategic Opportunities in AI for Pharma
By: Satish Tadikonda
Abraham Heifets and his co-founder, Izhar Wallach, had founded Atomwise to develop i) an AI engine to transform drug discovery by creating better medicines faster, and ii) a machine learning-based discovery engine that combined the power of convolutional neural... View Details
- 2023
- Book
Right Kind of Wrong: The Science of Failing Well
By: Amy Edmondson
A revolutionary guide that will transform your relationship with failure, from the pioneering researcher of psychological safety and award-winning Harvard Business School professor Amy Edmondson.
We used to think of failure as the opposite of success. Now,... View Details
We used to think of failure as the opposite of success. Now,... View Details
- September 2023 (Revised May 2025)
- Teaching Note
On (A) and (B)
By: Ramon Casadesus-Masanell, Karolin Frankenberger, Sascha Mader, Jordan Mitchell and Karen Elterman
Teaching Note for "On," HBS Case No. 723-430. On is a premium performance running shoe company founded in Switzerland in 2010. The company rapidly gained traction through its unique CloudTec cushioning technology, its innovative midsole plate called the Speedboard, and... View Details
Keywords: Brands and Branding; Business Growth and Maturation; Business Model; Business Startups; Business Strategy; Competitive Advantage; Competitive Strategy; Corporate Strategy; Customer Focus and Relationships; Customer Satisfaction; Digital Marketing; Disruptive Innovation; Distribution Channels; Entrepreneurship; Environmental Sustainability; Global Strategy; Initial Public Offering; Innovation and Invention; Innovation Strategy; Market Entry and Exit; Marketing Strategy; Product Design; Product Development; Product Marketing; Social Media; Strategy; Supply Chain Management; Technological Innovation; Apparel and Accessories Industry; Consumer Products Industry; Manufacturing Industry; Retail Industry; Sports Industry; Europe; Germany; Switzerland; United States
- September 2023 (Revised September 2023)
- Supplement
On Slides
By: Ramon Casadesus-Masanell, Karolin Frankenberger, Sascha Mader, Jordan Mitchell and Karen Elterman
Slides to support the teaching of the On case, 723-430. On is a premium performance running shoe company founded in Switzerland in 2010. The company rapidly gained traction through its unique CloudTec cushioning technology, its innovative midsole plate called the... View Details
Keywords: Brands and Branding; Business Growth and Maturation; Business Model; Business Startups; Business Strategy; Competitive Advantage; Competitive Strategy; Corporate Strategy; Customer Focus and Relationships; Customer Satisfaction; Digital Marketing; Disruptive Innovation; Distribution Channels; Entrepreneurship; Environmental Sustainability; Global Strategy; Initial Public Offering; Innovation and Invention; Innovation Strategy; Market Entry and Exit; Marketing Strategy; Product Design; Product Development; Product Marketing; Social Media; Strategy; Supply Chain Management; Technological Innovation; Apparel and Accessories Industry; Consumer Products Industry; Manufacturing Industry; Retail Industry; Sports Industry; Europe; Germany; Switzerland; United States
- 2023
- Article
On the Impact of Actionable Explanations on Social Segregation
By: Ruijiang Gao and Himabindu Lakkaraju
As predictive models seep into several real-world applications, it has become critical to ensure that individuals who are negatively impacted by the outcomes of these models are provided with a means for recourse. To this end, there has been a growing body of research... View Details
- 2024
- Working Paper
The Crowdless Future? Generative AI and Creative Problem Solving
The rapid advances in generative artificial intelligence (AI) open up attractive opportunities for creative problem-solving through human-guided AI partnerships. To explore this potential, we initiated a crowdsourcing challenge focused on sustainable, circular economy... View Details
- 2023
- Working Paper
Channeled Attention and Stable Errors
By: Tristan Gagnon-Bartsch, Matthew Rabin and Joshua Schwartzstein
We develop a framework for assessing when somebody will eventually notice that she has
a misspecified model of the world, premised on the idea that she neglects information that
she deems—through the lens of her misconceptions—to be irrelevant. In doing so, we... View Details
- July–August 2023
- Article
Demand Learning and Pricing for Varying Assortments
By: Kris Ferreira and Emily Mower
Problem Definition: We consider the problem of demand learning and pricing for retailers who offer assortments of substitutable products that change frequently, e.g., due to limited inventory, perishable or time-sensitive products, or the retailer’s desire to... View Details
- August 2023
- Article
Explaining Machine Learning Models with Interactive Natural Language Conversations Using TalkToModel
By: Dylan Slack, Satyapriya Krishna, Himabindu Lakkaraju and Sameer Singh
Practitioners increasingly use machine learning (ML) models, yet models have become more complex and harder to understand. To understand complex models, researchers have proposed techniques to explain model predictions. However, practitioners struggle to use... View Details