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- November 2024
- Case
Cheerful Music
By: Shunyuan Zhang, Feng Zhu and Nancy Hua Dai
Established by Snow Jiang in 2019 in Shenzhen, China, Cheerful Music was a record label company that had created many hit songs in China. “Yi Xiao Jiang Hu,” its most famous hit song, gained 50 billion views on TikTok as the background music for the Subject Three... View Details
- November 5, 2024
- Article
The International Empirics of Management
By: Daniela Scur, Scott Ohlmacher, John Van Reenen, Morten Bennedsen, Nick Bloom, Ali Choudhary, Lucia Foster, Jesse Groenewegen, Arti Grover, Sjoerd Hardeman, Leonardo Iacovone, Ryo Kambayashi, Marie-Christine Laible, Renata Lemos, Hongbin Li, Andrea Linarello, Mika Maliranta, Denis Medvedev, Charlotte Meng, John Miles Touya, Natalia Mandirola, Roope Ohlsbom, Atsushi Ohyama, Megha Patnaik, Mariana Pereira-López, Raffaella Sadun, Tatsuro Senga, Franklin Qian and Florian Zimmermann
A country’s national income broadly depends on the quantity and quality of workers and capital. But how well these factors are managed within and between firms may be a key determinant of a country’s productivity and its GDP. Although social scientists have long... View Details
- August 2024 (Revised November 2024)
- Case
No Labels and the 2024 Presidential Insurance Plan
By: Robert F. White and Tom Quinn
After observing record voter dissatisfaction with the choices in the 2024 U.S. presidential election – Democratic nominee President Joe Biden and Republican nominee and former President Donald Trump – the bipartisan nonprofit No Labels decided to reserve ballot access... View Details
- June 2024
- Module Note
Value Creation Potential of New Business Models
By: David J. Collis
A business model is composed of three elements. These describe a generic way of creating value and identify the maximum potential value of that model for customers. The elements of a business model are the “job to be done” for the customer, the asset configuration, or... View Details
- June 2024
- Teaching Note
Miami's Climate Tech Potential (A): The State of Play
By: Rosabeth Moss Kanter and Ai-Ling Jamila Malone
Teaching Note for HBS Case No. 324-119. Miami-Dade County led the work to get South Florida designated a national climate resilience tech hub, the only one of 31 focused on climate change, an urgent major issue for the region in light of global warming and sea level... View Details
- June 2024
- Article
Redistributive Allocation Mechanisms
By: Mohammad Akbarpour, Piotr Dworczak and Scott Duke Kominers
Many scarce public resources are allocated at below-market-clearing prices, and sometimes for free. Such "non-market" mechanisms sacrifice some surplus, yet they can potentially improve equity. We develop a model of mechanism design with redistributive concerns. Agents... View Details
- May 2024
- Supplement
Miami’s Climate Tech Potential (B): The 2024 Tech Hub Proposal
By: Rosabeth Moss Kanter and Jacob A. Small
Miami-Dade County led the work to get South Florida designated a national climate resilience tech hub, the only one of 31 focused on climate change, an urgent major issue for the region in light of global warming and sea level rise. Venture capitalists saw the... View Details
- March 2024 (Revised June 2024)
- Case
Miami's Climate Tech Potential (A): The State of Play
By: Rosabeth Moss Kanter and Ai-Ling Jamila Malone
Miami-Dade County led the work to get South Florida designated a national climate resilience tech hub, the only one of 31 focused on climate change, an urgent major issue for the region in light of global warming and sea level rise. Venture capitalists saw the... 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
- 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
- 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
- 2023
- Working Paper
PRIMO: Private Regression in Multiple Outcomes
By: Seth Neel
We introduce a new differentially private regression setting we call Private Regression in Multiple Outcomes (PRIMO), inspired the common situation where a data analyst wants to perform a set of l regressions while preserving privacy, where the covariates... View Details
- March 2023
- Case
On
By: Ramon Casadesus-Masanell, Karolin Frankenberger and Sascha Mader
Founded in 2010, in just one decade, the Swiss company On had established itself as a main player in global sports footwear and apparel. Based on an unconventional strategy which one of the founders labeled as “obsessively distinct,” On grew its sales with a compound... View Details
- 17 Nov 2023 - 20 Nov 2023
- Conference Presentation
Autopilot or Copilot? Label Mismarketing and Autonomous Vehicle Liability
By: Stuti Agarwal and Julian De Freitas
- January 2023
- Article
Calculators for Women: When Identity-Based Appeals Backfire
By: Tami Kim, Kate Barasz, Michael I. Norton and Leslie K. John
From “Chick Beer” to “Dryer Sheets for Men,” identity-based labeling is frequently deployed by marketers to appeal to specific target markets. Yet such identity appeals can backfire, alienating the very consumers they aim to attract. We theorize and empirically... View Details
Keywords: Categorization Threat; Stereotypes; Identity; Labels; Gender; Perception; Consumer Behavior
- 2022
- Working Paper
Machine Learning Models for Prediction of Scope 3 Carbon Emissions
By: George Serafeim and Gladys Vélez Caicedo
For most organizations, the vast amount of carbon emissions occur in their supply chain and in the post-sale processing, usage, and end of life treatment of a product, collectively labelled scope 3 emissions. In this paper, we train machine learning algorithms on 15... View Details
- 2021
- Working Paper
Caccia Selvaggia: Myth, Rites, and the Right in Carlo Ginzburg's Storia notturna
By: Robert Fredona and Sophus A. Reinert
Carlo Ginzburg (b. 1939) is widely considered one of Europe’s leading historians. His masterpiece Storia notturna (Turin: Einaudi, 1989), widely praised for its extraordinary erudition and creativity, is now over three decades old but it continues to inspire... View Details
- October 2021 (Revised September 2022)
- Case
SmartOne: Building an AI Data Business
By: Karim R. Lakhani, Pippa Armerding, Gamze Yucaoglu and Fares Khrais
The case opens in August 2021, as Habib and Shahysta Hassim, husband and wife co-founders of the data labeling company SmartOne, contemplate the strategy of the high growth company. Between 2016 and 2021, SmartOne had kept doubling its size every two years and now,... View Details
- March 2021
- Case
VideaHealth: Building the AI Factory
By: Karim R. Lakhani and Amy Klopfenstein
Florian Hillen, co-founder and CEO of VideaHealth, a startup that used artificial intelligence (AI) to detect dental conditions on x-rays, spent the early years of his company laying the groundwork for an AI factory. A process for quickly building and iterating on new... View Details
Keywords: Artificial Intelligence; Innovation and Invention; Disruptive Innovation; Technological Innovation; Information Technology; Applications and Software; Technology Adoption; Digital Platforms; Entrepreneurship; AI and Machine Learning; Technology Industry; Medical Devices and Supplies Industry; North and Central America; United States; Massachusetts; Cambridge
- February 2021 (Revised May 2021)
- Case
SafeGraph: Selling Data as a Service
By: Ramana Nanda, Abhishek Nagaraj and Allison Ciechanover
Set in January 2021, the CEO of SafeGraph, a four-year-old startup that sold Data as a Service, looked to the future. His aim was to become the most trusted source for data about a physical place. The company provided points of interest (POI) and foot traffic data on... View Details