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(670)
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Show Results For
- All HBS Web
(670)
- News (183)
- Research (381)
- Events (6)
- Multimedia (13)
- Faculty Publications (283)
- May 2024
- Teaching Note
AI Wars
By: Andy Wu and Matt Higgins
Teaching Note for HBS Case No. 723-434. In 2024, the world was looking to Google to see what the search giant and long-time putative technical leader in artificial intelligence (AI) would do to compete in the massively hyped technology of generative AI popularized over... View Details
- 19 Jul 2019
- Blog Post
Making a Broader Impact with Multiple Disciplines
management and business development roles within healthcare startups, and/or work in strategy and investing for early-stage health care VC funds. Autonomous surgical robots, health care artificial intelligence, and AR/VR surgery: what... View Details
- May 2022
- Case
Timnit Gebru: 'SILENCED No More' on AI Bias and The Harms of Large Language Models
By: Tsedal Neeley and Stefani Ruper
Dr. Timnit Gebru—a leading artificial intelligence (AI) computer scientist and co-lead of Google’s Ethical AI team—was messaging with one of her colleagues when she saw the words: “Did you resign?? Megan sent an email saying that she accepted your resignation.” Heart... View Details
Neeley, Tsedal, and Stefani Ruper. "Timnit Gebru: 'SILENCED No More' on AI Bias and The Harms of Large Language Models." Harvard Business School Case 422-085, May 2022.
- 2025
- Working Paper
Small Business Innovation Applied to National Needs
By: Kyle Myers, Lauren Lanahan and Evan E. Johnson
Small businesses have long supplied a disproportionate share of major innovations in
the United States. We review a centerpiece policy on this topic: the U.S. Small Business
Innovation Research (SBIR) program.We trace its legislative history and summarize... View Details
Myers, Kyle, Lauren Lanahan, and Evan E. Johnson. "Small Business Innovation Applied to National Needs." Harvard Business School Working Paper, No. 25-062, June 2025.
- 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.)
- 2018
- Working Paper
Some Facts of High-Tech Patenting
By: Michael Webb, Nick Short, Nicholas Bloom and Josh Lerner
Patenting in software, cloud computing, and artificial intelligence has grown rapidly in recent years. Such patents are acquired primarily by large U.S. technology firms such as IBM, Microsoft, Google, and HP, as well as by Japanese multinationals such as Sony, Canon,... View Details
Webb, Michael, Nick Short, Nicholas Bloom, and Josh Lerner. "Some Facts of High-Tech Patenting." Harvard Business School Working Paper, No. 19-014, August 2018. (NBER Working Paper Series, No. 24793, July 2018.)
- 12 Oct 2022
- Video
Ifeoma Ajunwa: Limitless Boundaries of Employee Surveillance
- March 2023
- Teaching Note
VideaHealth: Building the AI Factory
By: Karim R. Lakhani
Teaching Note for HBS Case No. 621-021. The case “VideaHealth: Building the AI Factory” examines the creation of dental startup VideaHealth (Videa) and the development of its artificial intelligence (AI)-led business strategy through the eyes of founder and CEO Florian... View Details
- 09 Nov 2020
- News
Best Business Books 2020: Technology & innovation
Paul Hamilton
Paul studies the economic complements needed for firms to realize productivity gains from machine learning and artificial intelligence. These complements include data, human capital & skills, organizational processes, and business models.
View Details
- 2024
- Chapter
The Regulation of Medical AI: Policy Approaches, Data, and Innovation Incentives
By: Ariel Dora Stern
For those who follow health and technology news, it is difficult to go more than a few days without reading about a compelling new application of Artificial Intelligence (AI) to health care. AI has myriad applications in medicine and its adjacent industries, with... View Details
Stern, Ariel Dora. "The Regulation of Medical AI: Policy Approaches, Data, and Innovation Incentives." Chap. 4 in The Economics of Artificial Intelligence: Health Care Challenges, edited by Ajay Agrawal, Joshua Gans, Avi Goldfarb, and Catherine E. Tucker, 107–138. Chicago and London: University of Chicago Press, 2024.
- October 2023 (Revised February 2024)
- Case
Loris
By: Shunyuan Zhang, Das Narayandas, Stacy Straaberg and David Lane
In December 2022, Loris’s executive team considered their go-to-market strategy. Loris was an artificial intelligence (AI) software startup for the customer service industry with two products on the market: 1) Agent Assist which provided customer service agents (CSAs)... View Details
Suraj Srinivasan
Suraj Srinivasan is the Philip J. Stomberg Professor of Business Administration, a member of the Accounting and Management faculty unit, and chair of the
- March 2023
- Case
Moderna
By: Marco Iansiti, Karim R. Lakhani, Hannah Mayer, Kerry Herman, Allison J. Wigen and Dave Habeeb
This multimedia case follows the story of Moderna and its entry into vaccine development in the wake of the COVID-19 pandemic. In summer 2020, Stephane Bancel, CEO of biotech firm Moderna, faces several challenges as his company races to develop a vaccine for COVID-19.... View Details
- 2022
- Working Paper
The Regulation of Medical AI: Policy Approaches, Data, and Innovation Incentives
By: Ariel Dora Stern
For those who follow health and technology news, it is difficult to go more than a few days without reading about a compelling new application of Artificial Intelligence (AI) to health care. AI has myriad applications in medicine and its adjacent industries, with... View Details
Keywords: AI and Machine Learning; Health Care and Treatment; Governing Rules, Regulations, and Reforms; Technological Innovation; Medical Devices and Supplies Industry
Stern, Ariel Dora. "The Regulation of Medical AI: Policy Approaches, Data, and Innovation Incentives." NBER Working Paper Series, No. 30639, December 2022.
- September–October 2024
- Article
The Crowdless Future? Generative AI and Creative Problem-Solving
The rapid advances in generative artificial intelligence (AI) open up attractive opportunities for creative problem-solving through human-guided AI partnerships. To explore this potential, we initiated a crowdsourcing challenge focused on sustainable, circular economy... View Details
Keywords: Large Language Models; Generative Ai; Crowdsourcing; AI and Machine Learning; Creativity; Technological Innovation
Boussioux, Léonard, Jacqueline N. Lane, Miaomiao Zhang, Vladimir Jacimovic, and Karim R. Lakhani. "The Crowdless Future? Generative AI and Creative Problem-Solving." Organization Science 35, no. 5 (September–October 2024): 1589–1607.
- 2023
- Chapter
Marketing Through the Machine’s Eyes: Image Analytics and Interpretability
By: Shunyuan Zhang, Flora Feng and Kannan Srinivasan
he growth of social media and the sharing economy is generating abundant unstructured image and video data. Computer vision techniques can derive rich insights from unstructured data and can inform recommendations for increasing profits and consumer utility—if only the... View Details
Zhang, Shunyuan, Flora Feng, and Kannan Srinivasan. "Marketing Through the Machine’s Eyes: Image Analytics and Interpretability." Chap. 8 in Artificial Intelligence in Marketing. 20, edited by Naresh K. Malhotra, K. Sudhir, and Olivier Toubia, 217–238. Review of Marketing Research. Emerald Publishing Limited, 2023.
- February 2018 (Revised September 2018)
- Case
Huawei: How Can We Lead the Way?
By: Elie Ofek, Tian Tao, Eden Yin and Nancy Hua Dai
On September 12, 2017, just as Apple’s Tim Cook was unveiling the iPhone X, Richard Yu, CEO of Huawei’s Consumer Business Group (CBG), and Glory Cheung, his Chief Marketing Officer, were discussing some key strategic issues regarding Huawei’s smartphone business.... View Details
Keywords: Product Launch; Product Positioning; Marketing Communications; Price; Competitive Strategy; Global Strategy
Ofek, Elie, Tian Tao, Eden Yin, and Nancy Hua Dai. "Huawei: How Can We Lead the Way?" Harvard Business School Case 518-071, February 2018. (Revised September 2018.)
- 2024
- Working Paper
The Wade Test: Generative AI and CEO Communication
By: Prithwiraj Choudhury, Bart S. Vanneste and Amirhossein Zohrehvand
Can generative artificial intelligence (Gen-AI) transform the role of the CEO? This study investigates
whether Gen-AI can mimic a human CEO and whether employees display aversion to Gen-AI
communication. We present a framework of Gen-AI aversion that distinguishes... View Details
Choudhury, Prithwiraj, Bart S. Vanneste, and Amirhossein Zohrehvand. "The Wade Test: Generative AI and CEO Communication." Harvard Business School Working Paper, No. 25-008, August 2024. (Revised May 2025.)
- May 2025 (Revised June 2025)
- Supplement
Michael Ku and Global Clinical Supply at Pfizer Inc.: Bringing Hope to Patients (D)
By: Linda A. Hill and Lydia Begag
This fourth installment in the Pfizer Global Clinical Supply (GCS) transformation case series highlights how over a decade of cultural and digital evolution positioned GCS to meet unprecedented global challenges. In 2011, Michael Ku became the Vice President of GCS and... View Details
Keywords: Innovation Leadership; Technological Innovation; Leadership Development; Leadership Style; Research and Development; Science-Based Business; Transformation; Pharmaceutical Industry; Biotechnology Industry; Health Industry; United States; Asia; Europe; Latin America
Hill, Linda A., and Lydia Begag. "Michael Ku and Global Clinical Supply at Pfizer Inc.: Bringing Hope to Patients (D)." Harvard Business School Supplement 425-079, May 2025. (Revised June 2025.)