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Show Results For
- All HBS Web
(10,951)
- People (14)
- News (2,388)
- Research (6,735)
- Events (168)
- Multimedia (126)
- Faculty Publications (5,174)
- September 2020
- Article
Creativity, Artificial Intelligence, and a World of Surprises
In recent years, progress has been made toward AI Creativity, which I define as the production of highly novel, yet appropriate, ideas, problem solutions, or other outputs by autonomous machines. I argue that organizational researchers of creativity and innovation... View Details
Keywords: Artificial Intelligence; AI Creativity; Computer Science; Organizational Behavior; Psychology; Creativity; Technological Innovation; AI and Machine Learning
Amabile, Teresa M. "Creativity, Artificial Intelligence, and a World of Surprises." Academy of Management Discoveries 6, no. 3 (September 2020): 351–354.
- 30 May 2023
- Research & Ideas
Can AI Predict Whether Shoppers Would Pick Crest or Colgate?
commercially available version of GPT-3 to elicit thousands of simulated customer responses and found that AI can produce demand patterns that resemble those View Details
Keywords: by Kristen Senz
- 1993
- Book
Economic Reality in Financial Reporting: A Global Survey of Voluntary Corporate Economic Reality Communications
By: David F. Hawkins
- 24 Jun 2025
- News
Why Soft Skills Still Matter in the Age of AI
- February 2007 (Revised November 2007)
- Case
Latvia: Economic Strategy after EU Accession
By: Michael E. Porter and Christian H.M. Ketels
Describes the economic development of Latvia, a small eastern European country on the shores of the Baltic Sea, from regaining independence in 1991 to European Union (EU) accession in 2004 and is set on May 1st, 2004, the day Latvia became an EU member. Latvia had... View Details
Keywords: Developing Countries and Economies; Economic Growth; Policy; Business and Government Relations; European Union; Latvia
Porter, Michael E., and Christian H.M. Ketels. "Latvia: Economic Strategy after EU Accession." Harvard Business School Case 707-515, February 2007. (Revised November 2007.)
- September 2023 (Revised April 2024)
- Case
Atomwise: Strategic Opportunities in AI for Pharma
By: Satish Tadikonda
Abraham Heifets and his co-founder, Izhar Wallach, had founded Atomwise to develop i) an AI engine to transform drug discovery by creating better medicines faster, and ii) a machine learning-based discovery engine that combined the power of convolutional neural... View Details
Keywords: Business Model; Business Startups; AI and Machine Learning; Science-Based Business; Technological Innovation; Biotechnology Industry; Pharmaceutical Industry
Tadikonda, Satish. "Atomwise: Strategic Opportunities in AI for Pharma." Harvard Business School Case 824-043, September 2023. (Revised April 2024.)
- Article
The Economics of Technology Sharing: Open Source and Beyond
By: Josh Lerner and Jean Tirole
Lerner, Josh, and Jean Tirole. "The Economics of Technology Sharing: Open Source and Beyond." Journal of Economic Perspectives 19, no. 2 (Spring 2005): 99–120. (Earlier version distributed as NBER Working Paper Series No. w10956.)
- October 2023
- Teaching Note
Timnit Gebru: 'SILENCED No More' on AI Bias and The Harms of Large Language Models
By: Tsedal Neeley and Tim Englehart
Teaching Note for HBS Case No. 422-085. 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... View Details
- 24 Mar 2010
- News
LECG Outstanding Contributions to Financial Economics
- January 2024
- Case
The Financial Times (FT) and Generative AI
By: Andrew Rashbass, Ramon Casadesus-Masanell and Jordan Mitchell
In September 2023, John Ridding, CEO of the Financial Times, was considering the possible impact of Generative AI on the industry and his business. Having navigated successfully the seismic shift from print to digital, and reporting record results, the company... View Details
Keywords: AI and Machine Learning; Technology Adoption; Change Management; Journalism and News Industry
Rashbass, Andrew, Ramon Casadesus-Masanell, and Jordan Mitchell. "The Financial Times (FT) and Generative AI." Harvard Business School Case 724-410, January 2024.
- 09 Oct 2020
- Working Paper Summaries
Where the Cloud Rests: The Economic Geography of Data Centers
Keywords: by Shane Greenstein and Tommy Pan Fang
- 1988
- Article
The Process of Economic Concentration in the American Economy
By: R. S. Tedlow
Tedlow, R. S. "The Process of Economic Concentration in the American Economy." Zeitschrift für Unternehmensgeschichte (1988): 91–111.
- 15 Oct 2012
- News
Roth shares economics Nobel
- 05 Jul 2006
- Working Paper Summaries
What Roosevelt Took: The Economic Impact of the Panama Canal, 1903-29
Keywords: by Noel Maurer & Carlos Yu
- 2010
- Working Paper
The Unbundling of Advertising Agency Services: An Economic Analysis
By: Mohammad Arzaghi, Ernst R. Berndt, James C. Davis and Alvin J. Silk
We address a longstanding puzzle surrounding the unbundling of services occurring over several decades in the U.S. advertising agency industry: What accounts for the shift from bundling to unbundling of services and the slow pace of change? Using Evans and Salinger's... View Details
Keywords: Advertising; Change; Forecasting and Prediction; Cost; Price; Analytics and Data Science; Surveys; Marketing Strategy; Media; Service Operations; Agency Theory; Mathematical Methods; Advertising Industry; United States
Arzaghi, Mohammad, Ernst R. Berndt, James C. Davis, and Alvin J. Silk. "The Unbundling of Advertising Agency Services: An Economic Analysis." Harvard Business School Working Paper, No. 11-039, September 2010.
- Article
Use of Crowd Innovation to Develop an Artificial Intelligence-Based Solution for Radiation Therapy Targeting
By: Raymond H. Mak, Michael G. Endres, Jin Hyun Paik, Rinat A. Sergeev, Hugo Aerts, Christopher L. Williams, Karim R. Lakhani and Eva C. Guinan
Importance: Radiation therapy (RT) is a critical cancer treatment, but the existing radiation oncologist work force does not meet growing global demand. One key physician task in RT planning involves tumor segmentation for targeting, which requires substantial... View Details
Keywords: Crowdsourcing; AI Algorithms; Health Care and Treatment; Collaborative Innovation and Invention; AI and Machine Learning
Mak, Raymond H., Michael G. Endres, Jin Hyun Paik, Rinat A. Sergeev, Hugo Aerts, Christopher L. Williams, Karim R. Lakhani, and Eva C. Guinan. "Use of Crowd Innovation to Develop an Artificial Intelligence-Based Solution for Radiation Therapy Targeting." JAMA Oncology 5, no. 5 (May 2019): 654–661.
- 27 Apr 2016
- HBS Seminar
Raymond Fisman, Professor of Behavioral Economics, Boston University, Department of Economics
- 2012
- Article
The Unbundling of Advertising Agency Services: An Economic Analysis
By: Mohammad Arzaghi, Ernst R. Berndt, James C. Davis and Alvin J. Silk
We address a puzzle surrounding the shift from bundling to unbundling of U.S. advertising agency services and the slow pace of change over several decades. We model an agency’s decision as a tradeoff between the fixed cost to the advertiser of establishing a... View Details
Keywords: Bundling; Unbundling; Advertising Agency Services; Fixed Cost; Higher Media Prices; Volume; Diversification; Advertising; Change; Advertising Industry; United States
Arzaghi, Mohammad, Ernst R. Berndt, James C. Davis, and Alvin J. Silk. "The Unbundling of Advertising Agency Services: An Economic Analysis." Review of Marketing Science 10, no. 1 (2012).
- July–August 2021
- Article
Why You Aren't Getting More from Your Marketing AI
By: Eva Ascarza, Michael Ross and Bruce G.S. Hardie
Fewer than 40% of companies that invest in AI see gains from it, usually because of one or more of these errors: (1) They don’t ask the right question, and end up directing AI to solve the wrong problem. (2) They don’t recognize the differences between the value of... View Details
Keywords: Artificial Intelligence; Marketing; Decision Making; Communication; Framework; AI and Machine Learning
Ascarza, Eva, Michael Ross, and Bruce G.S. Hardie. "Why You Aren't Getting More from Your Marketing AI." Harvard Business Review 99, no. 4 (July–August 2021): 48–54.