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- March 2025
- Case
Mobvoi’s Path Through Market Challenges and Business Reinvention
By: Paul A. Gompers and Shu Lin
Founded in 2012, Mobvoi evolved through multiple transformations—from AI-driven voice technology to smart wearables and later AI-generated content. Backed by major investors, the company navigated shifts in strategy while facing two failed IPO attempts. As market... View Details
- 2025
- Working Paper
Blockchain-Induced Supply Chain Transparency and Firm Performance: The Role of Capacity Utilization
By: ShinWoo Lee Lee, Jedson Pinto, Daniel Rabetti and Gil Sadka
This study empirically investigates how blockchain adoption affects firm profitability. Employing a quasi-experimental design triggered by regulatory changes across the United States, we provide novel empirical evidence to recent theory, proposing that blockchain... View Details
Keywords: Blockchain; Supply Chain; Technology Adoption; Profit; Governing Rules, Regulations, and Reforms; United States
Lee, ShinWoo Lee, Jedson Pinto, Daniel Rabetti, and Gil Sadka. "Blockchain-Induced Supply Chain Transparency and Firm Performance: The Role of Capacity Utilization." Working Paper, February 2025.
- 2025
- Working Paper
Tax Planning, Illiquidity, and Credit Risks: Evidence from DeFi Lending
By: Lisa De Simone, Peiyi Jin and Daniel Rabetti
This study establishes a plausible causal link between tax-planning-induced illiquidity and credit risks in lending markets. Exploiting an exogenous tax shock imposed by the Internal Revenue Service (IRS) on cryptocurrency gains, along with millions of transactions in... View Details
Keywords: Cryptocurrency; Taxation; Financial Liquidity; Credit; Financing and Loans; Financial Markets
De Simone, Lisa, Peiyi Jin, and Daniel Rabetti. "Tax Planning, Illiquidity, and Credit Risks: Evidence from DeFi Lending." Working Paper, February 2025.
- 2025
- Working Paper
Blockchain Adoption and Audit Quality
By: Mei Luo, Daniel Rabetti and Shuangchen Yu
This study examines the impact of blockchain adoption in the corporate setting. Specifically, we provide comprehensive empirical support to recent theory (Cao, Cong, and Young, 2024) proposing that blockchain adoption positively affects endogenous audit quality and... View Details
Keywords: Blockchain; Accounting Audits; Technology Adoption; Financial Reporting; Governing Rules, Regulations, and Reforms; China
Luo, Mei, Daniel Rabetti, and Shuangchen Yu. "Blockchain Adoption and Audit Quality." Working Paper, February 2025.
- January 2025 (Revised March 2025)
- Case
DJI- Striving for Innovation Amid Contestation
By: William C. Kirby and Daniel Fu
DJI was founded in a college dorm room in Clear Water Bay, Hong Kong. By 2020, DJI, a company manufacturing drones, occupied a 77% share of consumer drone sales in the United States with a wide array of clients including law enforcement and government agencies. Its... View Details
- January 2025 (Revised February 2025)
- Background Note
A High-Tech Revolution with Chinese Characteristics: China's Drive Towards EV Supremacy
By: William C. Kirby, Daniel Fu and Matthew Ngai
This background note explains and documents the rise of China's EV industry. Moreover, it identifies the challenges facing it and posits several questions about the decisions needed to be made to sustain the industry's global dominance. Would Chinese producers be able... View Details
- January 2025
- Case
Blue Frontier: Disrupting Air Conditioning
By: Rosabeth Moss Kanter and Jacob A. Small
Serial entrepreneur Daniel Betts founded Blue Frontier in South Florida to offer a climate-friendly solution to increase air conditioning efficiency and dehumidify using new technology he developed. Backed by significant venture capital, Blue Frontier had to choose... View Details
- January 2025
- Case
COMAC - Chinese Aviation Soars to New Heights
By: William C. Kirby and Daniel Fu
COMAC's C919 manifested the first challenge to the Boeing-Airbus duopoly since it came to dominate aircraft manufacturing in the 1990s. Beijing sought to export the C919 abroad in its quest to become a "transportation superpower." Was it a wise decision for COMAC to... View Details
- 2025
- Article
Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments
By: Kosuke Imai and Michael Lingzhi Li
Researchers are increasingly turning to machine learning (ML) algorithms to investigate causal heterogeneity in randomized experiments. Despite their promise, ML algorithms may fail to accurately ascertain heterogeneous treatment effects under practical settings with... View Details
Imai, Kosuke, and Michael Lingzhi Li. "Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments." Journal of Business & Economic Statistics 43, no. 1 (2025): 256–268.
- November 2024
- Article
The Health Costs of Cost Sharing
By: Amitabh Chandra, Evan Flack and Ziad Obermeyer
What happens when patients suddenly stop their medications? We study the health consequences of drug interruptions caused by large, abrupt, and arbitrary changes in price. Medicare’s prescription drug benefit as-if-randomly assigns 65-year-olds a drug budget as a... View Details
Chandra, Amitabh, Evan Flack, and Ziad Obermeyer. "The Health Costs of Cost Sharing." Quarterly Journal of Economics 139, no. 4 (November 2024): 2037–2082.
- 2024
- Working Paper
Igniting Innovation: Evidence from PyTorch on Technology Control in Open Collaboration
By: Daniel Yue and Frank Nagle
Many companies offer free access to their technology to encourage outside addon
innovation, hoping to later profit by raising prices or harnessing the power of the crowd
while continuing to steer the direction of innovation. They can achieve this balance by
opening... View Details
Keywords: Technological Innovation; Power and Influence; Collaborative Innovation and Invention; Corporate Governance
Yue, Daniel, and Frank Nagle. "Igniting Innovation: Evidence from PyTorch on Technology Control in Open Collaboration." Harvard Business School Working Paper, No. 25-013, September 2024.
- 2024
- Article
Neyman Meets Causal Machine Learning: Experimental Evaluation of Individualized Treatment Rules
By: Michael Lingzhi Li and Kosuke Imai
A century ago, Neyman showed how to evaluate the efficacy of treatment using a randomized experiment under a minimal set of assumptions. This classical repeated sampling framework serves as a basis of routine experimental analyses conducted by today’s scientists across... View Details
Li, Michael Lingzhi, and Kosuke Imai. "Neyman Meets Causal Machine Learning: Experimental Evaluation of Individualized Treatment Rules." Journal of Causal Inference 12, no. 1 (2024).
- June 2024 (Revised August 2024)
- Case
Hospital for Special Surgery: Returning to a New Normal? (A)
By: Robert S. Huckman, Michael Lingzhi Li and Camille Gregory
Early on the morning of April 27, 2020, Justin Oppenheimer stood outside the entrance to the lobby of the Hospital for Special Surgery (HSS) Pavilion Building with mixed emotions. On one hand, Oppenheimer, HSS’ Enterprise Chief Operating Officer and Chief Strategy... View Details
Keywords: Operations Management; Scheduling; Optimization; COVID-19; Health Care and Treatment; Operations; Customer Focus and Relationships; Disruption; Health Industry; United States
Huckman, Robert S., Michael Lingzhi Li, and Camille Gregory. "Hospital for Special Surgery: Returning to a New Normal? (A)." Harvard Business School Case 624-092, June 2024. (Revised August 2024.)
- May 2024 (Revised June 2024)
- Case
Together for Sustainability
This case documents the origin and development of Together for Sustainability (TfS), a chemical industry initiative dedicated to raising sustainability standards throughout the industry’s supply chains. In 2011, six Chief Procurement Officers (CPOs) from some of the... View Details
Keywords: Environmental Sustainability; Standards; Supply Chain Management; Corporate Social Responsibility and Impact; Partners and Partnerships; Nonprofit Organizations; Corporate Accountability; Chemical Industry
Gulati, Ranjay, David Shin, and Emily Tedards. "Together for Sustainability." Harvard Business School Case 424-062, May 2024. (Revised June 2024.)
- Spring 2024
- Article
The Evolution of Banking in the 21st Century: Evidence and Regulatory Implications
By: Samuel Gregory Hanson, Victoria Ivashina, Laura Nicolae, Jeremy C. Stein, Adi Sunderam and Daniel K. Tarullo
As revealed by the failures of three regional banks in the spring of 2023, bank runs are not a thing of the past. To inform the ongoing discussion of the appropriate regulatory response, we examine trends in the banking industry over the last twenty-five years. On the... View Details
Keywords: Financial Instruments; Financial Crisis; Assets; Governing Rules, Regulations, and Reforms; Financial Condition; Banking Industry
Hanson, Samuel Gregory, Victoria Ivashina, Laura Nicolae, Jeremy C. Stein, Adi Sunderam, and Daniel K. Tarullo. "The Evolution of Banking in the 21st Century: Evidence and Regulatory Implications." Brookings Papers on Economic Activity (Spring 2024): 343–389.
- 2024
- Working Paper
The Cram Method for Efficient Simultaneous Learning and Evaluation
By: Zeyang Jia, Kosuke Imai and Michael Lingzhi Li
We introduce the "cram" method, a general and efficient approach to simultaneous learning and evaluation using a generic machine learning (ML) algorithm. In a single pass of batched data, the proposed method repeatedly trains an ML algorithm and tests its empirical... View Details
Keywords: AI and Machine Learning
Jia, Zeyang, Kosuke Imai, and Michael Lingzhi Li. "The Cram Method for Efficient Simultaneous Learning and Evaluation." Working Paper, March 2024.
- 2024
- Article
Half the Firms, Double the Profits: Public Firms' Transformation, 1996–2022
By: Mark J. Roe and Charles C.Y. Wang
The number of public firms in the United States has halved since the beginning of the twenty-first century, causing consternation among corporate and securities law regulators. The dominant explanations, often advanced by Securities and Exchange commissioners when... View Details
Keywords: Corporate Law; Securities Regulation; Sarbanes-Oxley Act; Concentration Levels; Antitrust; Initial Public Offering; Public Ownership; Private Equity; Venture Capital; Mergers and Acquisitions; Monopoly; United States
Roe, Mark J., and Charles C.Y. Wang. "Half the Firms, Double the Profits: Public Firms' Transformation, 1996–2022." Journal of Law, Finance, and Accounting 8, no. 2 (2024): 211–264.
- Working Paper
Visual Uniqueness in Peer-to-Peer Marketplaces: Machine Learning Model Development, Validation, and Application
By: Flora Feng, Charis Li and Shunyuan Zhang
Peer-to-peer (P2P) marketplaces have seen exponential growth in recent years featured by unique offerings from individual providers. Despite the perceived value of uniqueness, scalable quantification of visual uniqueness in P2P platforms like Airbnb has been largely... View Details
Keywords: Peer-to-peer Markets; Marketplace Matching; AI and Machine Learning; Demand and Consumers; Digital Platforms; Marketing
Feng, Flora, Charis Li, and Shunyuan Zhang. "Visual Uniqueness in Peer-to-Peer Marketplaces: Machine Learning Model Development, Validation, and Application." SSRN Working Paper Series, No. 4665286, February 2024.
- January 2024 (Revised January 2025)
- Case
Huawei: Resilience amid Autarky and Adversity
By: William C. Kirby and Daniel Fu
In September 2023, Huawei made a dramatic return to the global smartphone space with the launch of its Mate 60 Pro smartphone, equipped with an indigenously designed, 7nm chip. This came despite a myriad of export controls and restrictions imposed against the company... View Details
Keywords: International Strategy; Semiconductors; Smartphone; Government And Politics; Government And Business; Digital Infrastructure; 5G; Political Risk; Business and Government Relations; Global Strategy; Multinational Firms and Management; Governing Rules, Regulations, and Reforms; AI and Machine Learning; Mobile and Wireless Technology; Leadership; Retirement; Corporate Strategy; Technology Industry; China; United States; Europe; Asia; Middle East
- November 2023
- Article
Algorithmic Mechanism Design with Investment
By: Mohammad Akbarpour, Scott Duke Kominers, Kevin Michael Li, Shengwu Li and Paul Milgrom
We study the investment incentives created by truthful mechanisms that allocate resources using approximation algorithms. Some approximation algorithms guarantee nearly 100% of the optimal welfare, but have only a zero guarantee when one bidder can invest before... View Details
Akbarpour, Mohammad, Scott Duke Kominers, Kevin Michael Li, Shengwu Li, and Paul Milgrom. "Algorithmic Mechanism Design with Investment." Econometrica 91, no. 6 (November 2023): 1969–2003.