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- 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.
- January 2024
- 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
- Case
Open Source Machine Learning at Google
Set in early 2023, the case exposes students to the challenges of managing open source software at Google. The case focuses on the challenges for Alex Spinelli, Vice President of Product Management for Core Machine Learning. He must set priorities for Google’s efforts... View Details
Keywords: Decision Choices and Conditions; Technological Innovation; Open Source Distribution; Strategy; AI and Machine Learning; Applications and Software; Technology Industry; United States
Greenstein, Shane, Martin Wattenberg, Fernanda B. Viégas, Daniel Yue, and James Barnett. "Open Source Machine Learning at Google." Harvard Business School Case 624-015, 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.... View Details
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
Swanson Health: Becoming a Super Seller
By: William R. Kerr, Daniel O'Connor and Paige Boehmcke
Founded in 1969, Swanson Health sold vitamins, supplements, natural health products, and organic foods. Over the years, the company had successfully navigated multiple industry transitions as it expanded from a print catalog to sell products on its own... View Details
Keywords: Sales; Transition; Growth Management; Distribution Channels; Organizational Change and Adaptation; Health Industry; Consumer Products Industry; United States
Kerr, William R., Daniel O'Connor, and Paige Boehmcke. "Swanson Health: Becoming a Super Seller." Harvard Business School Case 824-093, November 2023.
- November 2023
- Case
Chai Point
By: Rembrand Koning, Daniel W. Elfenbein and Kanika Jain
Chai Point was an Indian food and beverage company focused on chai. It started in 2010 as a retail store network but soon expanded to corporate offices by developing an IoT-enabled automatic tea and filter coffee machine. By 2023, Chai Point had 170 stores and 5000... View Details
Keywords: Entrepreneurship; Food; Resource Allocation; Vertical Integration; Expansion; Food and Beverage Industry; Technology Industry; Retail Industry; India
Koning, Rembrand, Daniel W. Elfenbein, and Kanika Jain. "Chai Point." Harvard Business School Case 724-418, November 2023.
- 2023
- Working Paper
Learning to Use: Stack Overflow and Technology Adoption
By: Daniel Jay Brown and Maria P. Roche
In this paper, we examine the potential impact of Q&A websites on the adoption of technologies.
Using data from Stack Overflow – one of the most popular Q&A websites worldwide
– and implementing an instrumental-variable approach, we find that users whose questions... View Details
Brown, Daniel Jay, and Maria P. Roche. "Learning to Use: Stack Overflow and Technology Adoption." Harvard Business School Working Paper, No. 24-001, July 2023.
- 2023
- Working Paper
Insufficiently Justified Disparate Impact: A New Criterion for Subgroup Fairness
By: Neil Menghani, Edward McFowland III and Daniel B. Neill
In this paper, we develop a new criterion, "insufficiently justified disparate impact" (IJDI), for assessing whether recommendations (binarized predictions) made by an algorithmic decision support tool are fair. Our novel, utility-based IJDI criterion evaluates false... View Details
Menghani, Neil, Edward McFowland III, and Daniel B. Neill. "Insufficiently Justified Disparate Impact: A New Criterion for Subgroup Fairness." Working Paper, June 2023.
- 2023
- Working Paper
Evaluation and Learning in R&D Investment
By: Alexander P. Frankel, Joshua L. Krieger, Danielle Li and Dimitris Papanikolaou
We examine the role of spillover learning in shaping the value of exploratory versus incremental
R&D. Using data from drug development, we show that novel drug candidates generate more
knowledge spillovers than incremental ones. Despite being less likely to reach... View Details
Frankel, Alexander P., Joshua L. Krieger, Danielle Li, and Dimitris Papanikolaou. "Evaluation and Learning in R&D Investment." Harvard Business School Working Paper, No. 23-074, May 2023. (NBER Working Paper Series, No. 31290, May 2023.)
- 2023
- Article
Provable Detection of Propagating Sampling Bias in Prediction Models
By: Pavan Ravishankar, Qingyu Mo, Edward McFowland III and Daniel B. Neill
With an increased focus on incorporating fairness in machine learning models, it becomes imperative not only to assess and mitigate bias at each stage of the machine learning pipeline but also to understand the downstream impacts of bias across stages. Here we consider... View Details
Ravishankar, Pavan, Qingyu Mo, Edward McFowland III, and Daniel B. Neill. "Provable Detection of Propagating Sampling Bias in Prediction Models." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 8 (2023): 9562–9569. (Presented at the 37th AAAI Conference on Artificial Intelligence (2/7/23-2/14/23) in Washington, DC.)
- December 2022 (Revised February 2023)
- Case
Daniel Defense: Responding to the Shooting at the Robb Elementary School in Uvalde, TX
By: Benjamin C. Esty and Daniel Fisher
At 11:33am on May 24, 2022, an 18-year-old man from Uvalde, Texas walked into the Robb Elementary School carrying a semi-automatic "AR-15-style” rifle manufactured by Daniel Defense and killed 19 children and two adults. Three days later, Representative Carolyn Maloney... View Details
Keywords: Gun Violence; Gun Policy; Second Amendment; Legal Liability; Government Legislation; Marketing Strategy; Business or Company Management; Product Marketing; Ethics; Corporate Accountability; Corporate Social Responsibility and Impact; Moral Sensibility; Crime and Corruption; Governing Rules, Regulations, and Reforms; Manufacturing Industry; Advertising Industry; United States
Esty, Benjamin C., and Daniel Fisher. "Daniel Defense: Responding to the Shooting at the Robb Elementary School in Uvalde, TX." Harvard Business School Case 323-058, December 2022. (Revised February 2023.)
- 2023
- Working Paper
Nailing Prediction: Experimental Evidence on the Value of Tools in Predictive Model Development
By: Daniel Yue, Paul Hamilton and Iavor Bojinov
Predictive model development is understudied despite its centrality in modern artificial
intelligence and machine learning business applications. Although prior discussions
highlight advances in methods (along the dimensions of data, computing power, and
algorithms)... View Details
Keywords: Analytics and Data Science
Yue, Daniel, Paul Hamilton, and Iavor Bojinov. "Nailing Prediction: Experimental Evidence on the Value of Tools in Predictive Model Development." Harvard Business School Working Paper, No. 23-029, December 2022. (Revised April 2023.)
- November 2022 (Revised January 2023)
- Case
Hugging Face (A): Serving AI on a Platform
By: Shane Greenstein, Daniel Yue, Kerry Herman and Sarah Gulick
It is fall 2022, and open-source AI model company Hugging Face is considering its three areas of priorities: platform development, supporting the open-source community, and pursuing cutting-edge scientific research. As it expands services for enterprise clients, which... View Details
Keywords: Community; Open-source; AI and Machine Learning; Product Development; Networks; Service Delivery; Research; Governance; Business and Stakeholder Relations; Information Industry; Technology Industry; United States
Greenstein, Shane, Daniel Yue, Kerry Herman, and Sarah Gulick. "Hugging Face (A): Serving AI on a Platform." Harvard Business School Case 623-026, November 2022. (Revised January 2023.)
- August, 2022
- Article
Billing and Insurance-Related Administrative Costs: A Cross-National Analysis
By: Barak D. Richman, Robert S. Kaplan, Japees Kohli, Dennis Purcell, Mahek Shah, Igna Bonfrer, Brian Golden, Rosemary Hannam, Will Mitchell, Daniel Cehic, Garry Crispin and Kevin A. Schulman
Billing and insurance-related costs are a significant source of wasteful health care spending in Organization for Economic Cooperation and Development nations, but these administrative burdens vary across national systems. We executed a microlevel accounting of these... View Details
Richman, Barak D., Robert S. Kaplan, Japees Kohli, Dennis Purcell, Mahek Shah, Igna Bonfrer, Brian Golden, Rosemary Hannam, Will Mitchell, Daniel Cehic, Garry Crispin, and Kevin A. Schulman. "Billing and Insurance-Related Administrative Costs: A Cross-National Analysis." Health Affairs 41, no. 8 (August, 2022): 1098–1106.
- May 2022 (Revised April 2024)
- Case
Third Point in 2020: Growth Is Where the Value Is?
By: Robin Greenwood, James Williams and Denise Han
In early May 2020, Daniel Loeb’s team at Third Point was evaluating a potential growth opportunity in the Walt Disney Company and whether investor activism might play a role. Battered by the effects of COVID-19, the company’s stock had initially tumbled to $86 and then... View Details
Keywords: Growth; Equity; Disney; Value; COVID-19 Pandemic; Economics; Strategy; Growth and Development; Investment Return; Opportunities; Business and Stakeholder Relations; North America
Greenwood, Robin, James Williams, and Denise Han. "Third Point in 2020: Growth Is Where the Value Is?" Harvard Business School Case 222-029, May 2022. (Revised April 2024.)
- May 2022
- Supplement
Third Point in 2020: Growth Is Where the Value Is? (B)
By: Robin Greenwood and Denise Han
In early May 2020, Daniel Loeb’s team at Third Point was evaluating a potential growth opportunity in the Walt Disney Company and whether investor activism might play a role. Battered by the effects of COVID-19, the company’s stock had initially tumbled to $86 and then... View Details
Keywords: Growth; Equity; Disney; Value; Economics; Finance; Investment; Strategy; Management; Investment Activism; Investment Return; Growth and Development; North America
Greenwood, Robin, and Denise Han. "Third Point in 2020: Growth Is Where the Value Is? (B)." Harvard Business School Supplement 222-030, May 2022.
- May 2022 (Revised July 2022)
- Case
The Voice War Continues: Hey Google vs. Alexa vs. Siri in 2022
By: David B. Yoffie and Daniel Fisher
In 2022, after five years of pursuing a new "AI-first" strategy, Google had captured a sizeable share of the American and global markets for voice assistants. Google Assistant was used by hundreds of millions of users around the world, but Amazon retained the largest... View Details
Keywords: Strategy; Artificial Intelligence; Deep Learning; Voice Assistants; Smart Home; Market Share; Globalized Markets and Industries; Competitive Strategy; Digital Platforms; AI and Machine Learning; Technology Industry; United States
Yoffie, David B., and Daniel Fisher. "The Voice War Continues: Hey Google vs. Alexa vs. Siri in 2022." Harvard Business School Case 722-462, May 2022. (Revised July 2022.)
- 2022
- Chapter
The Servicification of the U.S. Economy: The Role of Startups versus Incumbent Firms
By: Mercedes Delgado, J. Daniel Kim and Karen G. Mills
Over the last few decades, the U.S. economy has exhibited a significant shift from manufacturing towards services. This transition has been particularly prominent in an important subcategory of services industries that drives innovation and employs many high-wage... View Details
Keywords: Servicification; Supply Chain Industries; STEM Labor; Innovation; Growth; Entrepreneurship; Innovation and Invention; Economic Growth; Policy; Service Industry; United States
Delgado, Mercedes, J. Daniel Kim, and Karen G. Mills. "The Servicification of the U.S. Economy: The Role of Startups versus Incumbent Firms." In The Role of Innovation and Entrepreneurship in Economic Growth, edited by Michael J. Andrews, Aaron Chatterji, Josh Lerner, and Scott Stern. Chicago: University of Chicago Press, 2022.
- December 2021 (Revised February 2022)
- Case
Bed Bath & Beyond: The New Strategy to Drive Shareholder Value
By: Benjamin C. Esty and Daniel W. Fisher
At one time, Bed Bath & Beyond was one of the most successful specialty retailers in the United States—its growth and profit margins far exceeded both peer retailers in the home goods market as well as many other discount retailers. But in 2014, its stock price peaked,... View Details
Keywords: Competitive Strategy; Competitive Advantage; Value Creation; Diversification; Corporate Governance; Leading Change; Performance Evaluation; Valuation; Investment Activism; Retail Industry; Consumer Products Industry; United States
Esty, Benjamin C., and Daniel W. Fisher. "Bed Bath & Beyond: The New Strategy to Drive Shareholder Value." Harvard Business School Case 722-408, December 2021. (Revised February 2022.)
- 2021
- Article
ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation
By: Chuang Gan, Jeremy Schwartz, Seth Alter, Damian Mrowca, Martin Schrimpf, James Traer, Julian De Freitas, Jonas Kubilius, Abhishek Bhandwaldar, Nick Haber, Megumi Sano, Kuno Kim, Elias Wang, Michael Lingelbach, Aidan Curtis, Kevin Feigelis, Daniel M. Bear, Dan Gutfreund, David Cox, Antonio Torralba, James J. DiCarlo, Joshua B. Tenenbaum, Josh H. McDermott and Daniel L.K. Yamins
We introduce ThreeDWorld (TDW), a platform for interactive multi-modal physical simulation. TDW enables simulation of high-fidelity sensory data and physical interactions between mobile agents and objects in rich 3D environments. Unique properties include: real-time... View Details
Keywords: Artificial Intelligence; Platform; Interactive Physical Simulation; Virtual Environment; Multi-modal; AI and Machine Learning
Gan, Chuang, Jeremy Schwartz, Seth Alter, Damian Mrowca, Martin Schrimpf, James Traer, Julian De Freitas, Jonas Kubilius, Abhishek Bhandwaldar, Nick Haber, Megumi Sano, Kuno Kim, Elias Wang, Michael Lingelbach, Aidan Curtis, Kevin Feigelis, Daniel M. Bear, Dan Gutfreund, David Cox, Antonio Torralba, James J. DiCarlo, Joshua B. Tenenbaum, Josh H. McDermott, and Daniel L.K. Yamins. "ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation." Conference on Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks Track 35th (2021).