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- December 2023 (Revised February 2024)
- Case
21Seeds: Taking Shots at Breakout Growth
21Seeds, a female-founded flavor-infused tequila startup launched in 2019, had made inroads into the alcoholic beverage industry by focusing on an underserved consumer segment in spirits—women, primarily in their 30s and 40s, many of whom were moms—and by following a... View Details
- December 2023
- Teaching Note
Candor at Clever
By: Ethan Bernstein
Teaching Note for HBS Case No. 418-087. View Details
- December 8, 2023
- Article
What Makes a Company Great at Producing Leaders?
By: Sarah Abbott, Robin Abrahams and Boris Groysberg
GE is well known as an “academy company”—a talent incubator that exports effective leaders to other organizations and even industries. To better understand which companies are top talent incubators today, the authors worked with the Official Board, a firm that provides... View Details
- December 2023 (Revised April 2025)
- Case
Yellow Corporation: On the Verge of Bankruptcy
By: Benjamin C. Esty and Edward A. Meyer
Yellow Corporation, one of the country’s oldest and largest less-than-truckload (LTL) carriers, was nearing its 100th anniversary in 2024. Whether it would reach that milestone, however, was uncertain as the company was attempting to restructure its operations to... View Details
- December 2023
- Supplement
Accounting for Loan Losses at JPMorgan Chase: Predicting Credit Costs
By: Jonas Heese and Jung Koo Kang
- December 2023 (Revised August 2024)
- Supplement
Microsoft Azure and the Cloud Wars (B)
By: Andy Wu and Matt Higgins
By 2023, the global market for cloud infrastructure had consolidated into a three-horse race. As of Q4 2022, Amazon, Microsoft, and Google collectively accounted for 66% of the global market. AWS had a market share of 33%, Microsoft Azure had 23%, and Google Cloud had... View Details
- December 2023
- Case
Food & Life Companies
By: Forest L. Reinhardt and Akiko Saito
Founded in 1984 in Japan, Food & Life Companies Ltd. (F&LC) operated Sushiro, the largest conveyor belt sushi restaurant chain in Japan, and other types of restaurants that offered sushi and fish cuisine. F&LC was committed to offering high-quality sushi at an... View Details
- December 2023 (Revised November 2024)
- Supplement
Decarbonizing Shipping at A.P. Møller-Maersk (B)
By: Willy Shih, Michael W. Toffel and Kelsey Carter
This is a (B) case supplement to 624-049 Decarbonizing Shipping at A.P. Møller-Maetsk View Details
Keywords: Decarbonization; Shipping; Biofuel; Ship Transportation; Energy Sources; Shipping Industry
- 2023
- Article
Balancing Risk and Reward: An Automated Phased Release Strategy
By: Yufan Li, Jialiang Mao and Iavor Bojinov
Phased releases are a common strategy in the technology industry for gradually releasing new products or updates through a sequence of A/B tests in which the number of treated units gradually grows until full deployment or deprecation. Performing phased releases in a... View Details
- 2023
- Article
Benchmarking Large Language Models on CMExam—A Comprehensive Chinese Medical Exam Dataset
By: Junling Liu, Peilin Zhou, Yining Hua, Dading Chong, Zhongyu Tian, Andrew Liu, Helin Wang, Chenyu You, Zhenhua Guo, Lei Zhu and Michael Lingzhi Li
Recent advancements in large language models (LLMs) have transformed the field of question answering (QA). However, evaluating LLMs in the medical field is challenging due to the lack of standardized and comprehensive datasets. To address this gap, we introduce CMExam,... View Details
- 2023
- Book
Beyond AI: ChatGPT, Web3, and the Business Landscape of Tomorrow
By: Ken Huang, Yang Wang, Feng Zhu, Xi Chen and Chunxiao Xing
This book explores the transformative potential of ChatGPT, Web3, and their impact on productivity and various industries. It delves into Generative AI (GenAI) and its representative platform ChatGPT, their synergy with Web3, and how they can revolutionize business... View Details
- December 2023
- Article
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work
By: Mijeong Kwon, Julia Lee Cunningham and Jon M. Jachimowicz
Intrinsic motivation has received widespread attention as a predictor of positive work outcomes, including employees’ prosocial behavior. In the current research, we offer a more nuanced view by proposing that intrinsic motivation does not uniformly increase prosocial... View Details
- December 2023
- Case
Gabriela Santana Goldstein
By: Leslie Perlow and Hannah Weisman
Gabriela Santana Goldstein was pursuing her passion, working as the Head of Business for a telehealth startup, when her father went into sudden cardiac arrest and family duty called. The case discusses Goldstein’s difficult decision to leave her dream job, and her path... View Details
- 2023
- Article
M4: A Unified XAI Benchmark for Faithfulness Evaluation of Feature Attribution Methods across Metrics, Modalities, and Models
By: Himabindu Lakkaraju, Xuhong Li, Mengnan Du, Jiamin Chen, Yekun Chai and Haoyi Xiong
While Explainable Artificial Intelligence (XAI) techniques have been widely studied to explain predictions made by deep neural networks, the way to evaluate the faithfulness of explanation results remains challenging, due to the heterogeneity of explanations for... View Details
Keywords: AI and Machine Learning
- 2023
- Chapter
Malleability Interventions in Intergroup Relations
By: Smadar Cohen-Chen, Amit Goldenberg, James J. Gross and Eran Halperin
One important characteristic of intergroup relations and conflicts is the fact that toxic or violent intergroup relations are often associated with fixed and stable perceptions of various entities, including the ingroup (stable and positive), the outgroup (stable and... View Details
- 2023
- Article
MoPe: Model Perturbation-based Privacy Attacks on Language Models
By: Marvin Li, Jason Wang, Jeffrey Wang and Seth Neel
Recent work has shown that Large Language Models (LLMs) can unintentionally leak sensitive information present in their training data. In this paper, we present Model Perturbations (MoPe), a new method to identify with high confidence if a given text is in the training... View Details
- 2023
- Article
Post Hoc Explanations of Language Models Can Improve Language Models
By: Satyapriya Krishna, Jiaqi Ma, Dylan Slack, Asma Ghandeharioun, Sameer Singh and Himabindu Lakkaraju
Large Language Models (LLMs) have demonstrated remarkable capabilities in performing complex tasks. Moreover, recent research has shown that incorporating human-annotated rationales (e.g., Chain-of-Thought prompting) during in-context learning can significantly enhance... View Details
- December 2023
- Article
Save More Today or Tomorrow: The Role of Urgency in Precommitment Design
By: Joseph Reiff, Hengchen Dai, John Beshears, Katherine L. Milkman and Shlomo Benartzi
To encourage farsighted behaviors, past research suggests that marketers may be wise to invite consumers to pre-commit to adopt them “later.” However, the authors propose that people will draw different inferences from different types of pre-commitment offers, and that... View Details
- December 2023
- Article
Self-Orienting in Human and Machine Learning
By: Julian De Freitas, Ahmet Uğuralp, Zeliha Uğuralp, Laurie Paul, Joshua B. Tenenbaum and T. Ullman
A current proposal for a computational notion of self is a representation of one’s body in a specific time and place, which includes the recognition of that representation as the agent. This turns self-representation into a process of self-orientation, a challenging... 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