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All HBS Web
(4,983)
- Faculty Publications (648)
- 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...
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Li, Yufan, Jialiang Mao, and Iavor Bojinov. "Balancing Risk and Reward: An Automated Phased Release Strategy." Advances in Neural Information Processing Systems (NeurIPS) (2023).
- 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...
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Li, Marvin, Jason Wang, Jeffrey Wang, and Seth Neel. "MoPe: Model Perturbation-based Privacy Attacks on Language Models." Proceedings of the Conference on Empirical Methods in Natural Language Processing (2023): 13647–13660.
- 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...
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De Freitas, Julian, Ahmet Uğuralp, Zeliha Uğuralp, Laurie Paul, Joshua B. Tenenbaum, and T. Ullman. "Self-Orienting in Human and Machine Learning." Nature Human Behaviour 7, no. 12 (December 2023): 2126–2139.
- 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...
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Keywords:
USPTO;
Natural Language Processing;
Classification;
Summarization;
Patent Novelty;
Patent Trolls;
Patent Enforceability;
Patents;
Innovation and Invention;
Intellectual Property;
AI and Machine Learning;
Analytics and Data Science
Suzgun, Mirac, Luke Melas-Kyriazi, Suproteem K. Sarkar, Scott Duke Kominers, and Stuart Shieber. "The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications." Conference on Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks Track 36 (2023).
- November 2023
- Supplement
Accounting Outages at Plug Power? (C)
By: Jonas Heese, Joseph Pacelli and James Barnett
Set in June 2023, the C case explores Plug Power’s recovery from its financial restatements, how it benefited from government subsidies, and new strategic alliances.
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Keywords:
Environmental Accounting;
Financial Reporting;
Ethics;
Finance;
Management;
Social Enterprise;
Green Technology Industry;
Green Technology Industry;
United States;
Europe
Heese, Jonas, Joseph Pacelli, and James Barnett. "Accounting Outages at Plug Power? (C)." Harvard Business School Supplement 124-019, November 2023.
- 2023
- Working Paper
Coordinated R&D Programs and the Creation of New Industries
By: Daniel P. Gross and Maria P. Roche
Government R&D programs have a long history in supporting industry development, yet their impacts are often overlooked in strategy research. We examine how a large, coordinated, government-funded effort to develop radar in World War II spawned a new high-tech industry....
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Keywords:
Research and Development;
Policy;
Business and Government Relations;
Technological Innovation;
Collaborative Innovation and Invention
Gross, Daniel P., and Maria P. Roche. "Coordinated R&D Programs and the Creation of New Industries." Harvard Business School Working Paper, No. 24-027, April 2023.
- November 2023
- Case
Will Fintechs and Central Banks Play in Emtech's Sandbox?
By: Daniel Isenberg and William R. Kerr
In February 2023, Emtech’s founder Carmelle Cadet is facing a dilemma. Rapidly running out of cash, Cadet has a term sheet from a leading VC but has a choice of how to structure the investment. The decision will have significant implications for Cadet’s own stake, as...
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Keywords:
Cryptocurrency;
Business Startups;
Venture Capital;
Cash Flow;
Currency;
Governing Rules, Regulations, and Reforms;
Digital Platforms
Isenberg, Daniel, and William R. Kerr. "Will Fintechs and Central Banks Play in Emtech's Sandbox?" Harvard Business School Case 824-096, November 2023.
- October 2023 (Revised March 2024)
- Case
KOKO Networks: Bridging Energy Transition and Affordability with Carbon Financing
By: George Serafeim, Siko Sikochi and Namrata Arora
The problem was massive: two million hectares of African forests were lost annually to charcoal production for cooking, an area equivalent to 13 times Greater London, resulting in one billion tons of carbon emissions yearly. At the same time, an estimated 700,000...
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Keywords:
Clean Tech;
Digital;
Carbon Credits;
Carbon Offsetting;
Climate Change;
Entrepreneurship;
Energy Sources;
Environmental Sustainability;
Health;
Market Design;
Business Startups;
Transition;
Environmental Regulation;
Policy;
Energy Industry;
Consumer Products Industry;
Africa;
Kenya;
Rwanda
Serafeim, George, Siko Sikochi, and Namrata Arora. "KOKO Networks: Bridging Energy Transition and Affordability with Carbon Financing." Harvard Business School Case 124-022, October 2023. (Revised March 2024.)
- October 2023
- Teaching Note
Metaverse Wars
By: Andy Wu and Matt Higgins
Teaching Note for HBS Case No. 723-431. Metaverse Wars recaps the development of the metaverse concept and the attendant hype, bringing the narrative up to the summer of 2023 when Meta’s big pivot looked more like a costly misstep than a stroke of strategic genius. In...
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- October 2023 (Revised April 2024)
- Case
TetraScience: Unlocking the Power of Scientific Data
By: Satish Tadikonda and William Marks
After pivoting from a focus on hardware to a focus on scientific data, TetraScience, led by veteran SaaS executive, Patrick Grady and Founder Spin Wang, has embarked on a journey from nearly cash-out to a player in the scientific data management space. This case...
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Keywords:
Business Model;
Change Management;
Entrepreneurship;
Information Management;
Business Strategy;
Market Entry and Exit;
Information Technology Industry
Tadikonda, Satish, and William Marks. "TetraScience: Unlocking the Power of Scientific Data." Harvard Business School Case 824-072, October 2023. (Revised April 2024.)
- October 2023 (Revised March 2024)
- Case
Fantuan
By: Feng Zhu and David Lane
In 2023, CEO Randy Wu was considering the optimal growth strategy for Fantuan, a restaurant food delivery platform that had expanded from its 2014 founding in Vancouver, Canada to serve the Chinese demand for Asian cuisine in urban markets across Australia, Canada, the...
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Keywords:
Business Startups;
Customer Focus and Relationships;
Diasporas;
Entrepreneurship;
Digital Platforms;
Growth Management;
Business Strategy;
Diversification;
Expansion;
Growth and Development Strategy;
Service Industry;
Food and Beverage Industry;
United States;
Canada;
United Kingdom;
Australia
Zhu, Feng, and David Lane. "Fantuan." Harvard Business School Case 624-023, October 2023. (Revised March 2024.)
- October 2023
- Case
Fixie and Conversational AI Sidekicks
By: Jeffrey J. Bussgang and Carin-Isabel Knoop
In March 2023, Fixie Co-Founder and Chief Architect Matt Welsh and co-founders had the kind of meeting no founders want to have. The president of leading artificial intelligence (AI) research and deployment firm OpenAI, which had catapulted into fame with its ChatGPT...
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Keywords:
Large Language Model;
Entrepreneurship;
Decision Choices and Conditions;
AI and Machine Learning;
Technological Innovation;
Competitive Strategy;
Technology Industry;
United States
Bussgang, Jeffrey J., and Carin-Isabel Knoop. "Fixie and Conversational AI Sidekicks." Harvard Business School Case 824-037, October 2023.
- October 2023 (Revised March 2024)
- Case
Fortinet: Cybersecurity Pioneer Ken Xie Considers the Long Game
By: Tsedal Neeley, Jeff Huizinga and Emily Grandjean
Ken Xie, cofounder of cybersecurity giant Fortinet, faced a critical decision that would validate his leadership. Fortinet became the industry’s second-largest pureplay cybersecurity firm by developing differentiated hardware and investing in R&D. However, after a...
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Keywords:
Leadership Development;
Leadership Style;
Marketing Strategy;
Communication Strategy;
Cybersecurity;
Competitive Advantage;
Information Technology Industry;
United States;
Sunnyvale
Neeley, Tsedal, Jeff Huizinga, and Emily Grandjean. "Fortinet: Cybersecurity Pioneer Ken Xie Considers the Long Game." Harvard Business School Case 424-016, October 2023. (Revised March 2024.)
- September–October 2023
- Article
Building Brand Engagement: Lessons from NFTs and Collectibles
By: Frank V. Cespedes and Ben Plomion
The financial hype about Non-Fungible Tokens (NFTs) has cooled considerably since trading in that market went from more than $780 million on May 1, 2022 to less than $295 million for the entire month of May, 2023. But brands launch marketing campaigns in this medium,...
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Cespedes, Frank V., and Ben Plomion. "Building Brand Engagement: Lessons from NFTs and Collectibles." European Business Review (September–October 2023): 2–5.
- 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...
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Pawelczyk, Martin, Seth Neel, and Himabindu Lakkaraju. "In-Context Unlearning: Language Models as Few Shot Unlearners." Working Paper, October 2023.
- 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...
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Keywords:
Growth and Development Strategy;
Organizational Culture;
Trust;
Technology Adoption;
Innovation and Invention;
Banking Industry
Sucher, Sandra J., Fares Khrais, and Marilyn Morgan Westner. "Kaspi.kz: Building Trust through Innovation." Harvard Business School Case 324-022, September 2023. (Revised June 2024.)
- September 2023
- Supplement
CMA CGM: Reducing the Carbon Footprint of Container Shipping
By: Willy Shih
Marine transport is the most cost-effective way to move large volumes over long distances, and container shipping is the backbone of international trade in goods. Yet shipping contributed 3% of worldwide greenhouse gas emissions, and the deep-sea segment, which...
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- September 2023
- Supplement
CMA CGM: Reducing the Carbon Footprint of Container Shipping
By: Willy Shih
Marine transport is the most cost-effective way to move large volumes over long distances, and container shipping is the backbone of international trade in goods. Yet shipping contributed 3% of worldwide greenhouse gas emissions, and the deep-sea segment, which...
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- September 2023
- Teaching Note
CMA CGM: Reducing the Carbon Footprint of Container Shipping
By: Willy Shih
Teaching Note for HBS Case No. 623-006. Marine transport is the most cost-effective way to move large volumes over long distances, and container shipping is the backbone of international trade in goods. Yet shipping contributed 3% of worldwide greenhouse gas emissions,...
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- 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...
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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
Eisenmann, Thomas R., and Tom Quinn. "TetraScience: Noise and Signal." Harvard Business School Case 824-024, September 2023. (Revised December 2023.)