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Show Results For
- All HBS Web
(1,357)
- People (4)
- News (462)
- Research (650)
- Events (9)
- Multimedia (26)
- Faculty Publications (446)
- 18 Oct 2022
- Research & Ideas
When Bias Creeps into AI, Managers Can Stop It by Asking the Right Questions
Most companies rely on artificial intelligence-based algorithms to make a wide variety of business decisions—from pinpointing the products customers prefer to determining which resumes should go to hiring managers. The problem for companies trying to advance racial... View Details
Keywords: by Rachel Layne
- Blog
Is AI Coming for Your Job?
The launch of ChatGPT seems to have reignited doomsday fears about artificial intelligence (AI) replacing workers en masse. Are these fears prescient or overblown? A recent survey shows 62 percent of Americans think AI will majorly impact... View Details
- August 2025
- Case
Meta and the Superintelligence Talent Race
By: Boris Groysberg and Sarah L. Abbott
In June 2025, Meta CEO Mark Zuckerberg upped the ante in the ongoing AI talent wars. Some analysts praised Zuckerberg’s aggressive approach to building Meta's AI capabilities, while others pointed to the high costs this strategy entailed and questioned how effectively... View Details
Keywords: AI; Artificial Intelligence; Machine Learning; Talent Acquisition; Hiring; Technology; Metaverse; Competition; Compensation; Innovation; Talent Development; Competing To Win; Competitive Dynamics; AI and Machine Learning; Talent and Talent Management; Recruitment; Compensation and Benefits; Competency and Skills; Competitive Strategy; Technological Innovation; Technology Industry
- 03 May 2023
- Research & Ideas
Why Confronting Racism in AI 'Creates a Better Future for All of Us'
During his recent standing-room-only seminar about artificial intelligence (AI) and race at Harvard Business School recently, marketing professor Broderick Turner displayed a slide showing several white blob-like characters that resembled... View Details
Keywords: by Barbara DeLollis
- April 2018 (Revised October 2023)
- Case
Coco Chanel: From Fashion Icon to Nazi Agent
By: Geoffrey Jones and Emily Grandjean
This case describes the career of the iconic French fashion designer Coco Chanel who created a transformational business during the first half of the 20th century. Beginning in her early adulthood, Chanel leveraged relationships with acquaintances, friends, and... View Details
Keywords: Business History; Biography; Entrepreneurship; Relationships; Brands and Branding; Ethics; Fashion Industry; Apparel and Accessories Industry
Jones, Geoffrey, and Emily Grandjean. "Coco Chanel: From Fashion Icon to Nazi Agent." Harvard Business School Case 318-139, April 2018. (Revised October 2023.)
- 16 Dec 2022
- Research & Ideas
Why Technology Alone Can't Solve AI's Bias Problem
In a cluttered online world, few can resist the convenience of an automated ranking when deciding what movie to watch on Netflix or which seafood restaurant looks promising in a Google search. But when it comes to finding a job candidate or someone to do a basic... View Details
- 09 Jan 2020
- Book
Rethinking Business Strategy in the Age of AI
World. The book’s authors, Harvard Business School Professors Marco Iansiti and Karim R. Lakhani, say Peloton is just one example of how digital technologies such as analytics and artificial intelligence (AI) are fundamentally shifting... View Details
Keywords: by Dina Gerdeman
- May 2024
- Case
A New Aiera for Equity Research
By: Joseph Pacelli, Charles CY Wang and James Barnett
Aiera (pronounced “era”) co-founder and CEO Ken Sena considers strategic pathways to growth for the artificial intelligence (AI)-powered platform used to source, verify, and transcribe earnings calls, company presentations, and other corporate events. View Details
- November 2021 (Revised December 2021)
- Supplement
PittaRosso (B): Human and Machine Learning
By: Ayelet Israeli
This case supplements the "PittaRosso: Artificial Intelligence-Driven Pricing and Promotion" case, and provides major highlights on what happened at the company since the first case. View Details
Keywords: Artificial Intelligence; Pricing; Pricing Algorithm; Pricing Decisions; Pricing Strategy; Pricing Structure; Promotion; Promotions; Online Marketing; Data-driven Decision-making; Data-driven Management; Retail; Retail Analytics; Price; Advertising Campaigns; Analytics and Data Science; Analysis; Digital Marketing; Budgets and Budgeting; Marketing Strategy; Marketing; Transformation; Decision Making; AI and Machine Learning; Retail Industry; Italy
Israeli, Ayelet. "PittaRosso (B): Human and Machine Learning." Harvard Business School Supplement 522-047, November 2021. (Revised December 2021.)
- June 2025
- Case
Transforming a Titan (A)
By: George Serafeim and Lena Duchene
Dimitri Papalexopoulos, fourth-generation CEO of TITAN Cement, must decide whether to keep leading the 120-year-old, family-controlled firm or hand the reins to new management. Over 26 years he has turned TITAN from a domestic player into an internationally diversified... View Details
Keywords: AI; Artificial Intelligence; Digitalization; Digital; Family Firms; Leadership; Succession; Succession Planning; CEO Succession; CEO Role; Decarbonization; Resilience; Innovation; Organizational Transformations; AI and Machine Learning; Digital Strategy; Digital Transformation; Family Business; Family Ownership; Climate Change; Transformation; Crisis Management; Industrial Products Industry; Construction Industry; Greece; Europe; United States
- 11 Feb 2021
- HBS Seminar
Avi Goldfarb, University of Toronto Rotman School of Business
- March 2010
- Case
Federal Bureau of Investigation, 2007
By: Jan W. Rivkin, Michael Roberto and Ranjay Gulati
In the wake of the 9/11 terrorist attacks, Robert Mueller, the Director of the Federal Bureau of Investigation (FBI), sought to transform the storied Bureau. The FBI had long served as both the chief law enforcement agency and the main domestic intelligence wing of the... View Details
Keywords: Transformation; Organizational Structure; Organizational Change and Adaptation; Government Administration; National Security; Corporate Strategy; Knowledge Acquisition; Law Enforcement; Public Administration Industry; United States
Rivkin, Jan W., Michael Roberto, and Ranjay Gulati. "Federal Bureau of Investigation, 2007." Harvard Business School Case 710-451, March 2010.
- October 2021 (Revised March 2022)
- Supplement
PittaRosso: Artificial Intelligence-Driven Pricing and Promotion
By: Ayelet Israeli and Fabrizio Fantini
PittaRosso, a traditional Italian shoe retailer, is implementing an AI system to provide pricing and promotion recommendations. The system allows them to implement changes that would affect both the top of funnel and bottom of funnel activities for the company: once... View Details
Keywords: Artificial Intelligence; Pricing; Pricing Algorithm; Pricing Decisions; Pricing Strategy; Pricing Structure; Promotion; Promotions; Online Marketing; Data-driven Decision-making; Data-driven Management; Retail; Retail Analytics; Price; Advertising Campaigns; Analytics and Data Science; Analysis; Digital Marketing; Budgets and Budgeting; Marketing Strategy; Marketing; Transformation; Decision Making; Retail Industry; Italy
- September 2022 (Revised November 2022)
- Teaching Note
PittaRosso: Artificial Intelligence-Driven Pricing and Promotion
By: Ayelet Israeli
Teaching Note for HBS Case No. 522-046. View Details
Keywords: Artificial Intelligence; Pricing; Pricing Algorithm; Pricing Decisions; Pricing Strategy; Pricing Structure; Promotion; Promotions; Online Marketing; Data-driven Decision-making; Data-driven Management; Retail; Retail Analytics; Price; Advertising Campaigns; Analytics and Data Science; Analysis; Digital Marketing; Budgets and Budgeting; Marketing Strategy; Transformation; Decision Making; AI and Machine Learning; Retail Industry; Italy
- March 1983
- Article
Brilliant but Cruel: Perceptions of Negative Evaluators
By: T. M. Amabile
Using edited excerpts from actual negative and positive book reviews, this research examined the hypothesis that negative evaluators of intellectual products will be perceived as more intelligent than positive evaluators. The results strongly supported the hypothesis.... View Details
Keywords: Social Psychology; Situation or Environment; Performance Evaluation; Perception; Status and Position; Attitudes; Prejudice and Bias; Power and Influence
Amabile, T. M. "Brilliant but Cruel: Perceptions of Negative Evaluators." Journal of Experimental Social Psychology 19 (March 1983): 146–156. (Reprinted in: E. Aronson (Ed.) (1984), Readings about the social animal (3rd. ed.). San Francisco: Freeman.)
Ayelet Israeli
Ayelet Israeli is the Marvin Bower Associate Professor of Business Administration at the Harvard Business School Marketing Unit. She is the co-founder of the Customer Intelligence Lab at the Digital Data Design (D^3) Institute at Harvard Business School. She teaches... View Details
- May 2023 (Revised January 2024)
- Case
Quigley-Simpson & Heppelwhite: The Ad Agency Model in the Age of AI
By: David C. Edelman and James Barnett
In October 2022, Quigley-Simpson & Heppelwhite CEO Carl Fremont considers how the advertising agency will integrate artificial intelligence tools into the business. View Details
Edelman, David C., and James Barnett. "Quigley-Simpson & Heppelwhite: The Ad Agency Model in the Age of AI." Harvard Business School Case 523-054, May 2023. (Revised January 2024.)
- September 1997 (Revised May 1999)
- Case
Precision Controls, Inc.
By: James K. Sebenius and David T. Kotchen
Precision Controls is a Minnesota-based manufacturer of electronic control devices. To enhance its product line, Precision would like to establish an artificial intelligence research group, either through internal development or, preferably, by merging with or... View Details
Keywords: Information Technology; Valuation; Research and Development; Negotiation Process; Stock Shares; Negotiation Tactics; Mergers and Acquisitions; Manufacturing Industry; Electronics Industry; Minnesota
Sebenius, James K., and David T. Kotchen. "Precision Controls, Inc." Harvard Business School Case 898-046, September 1997. (Revised May 1999.)
- 2021
- Article
To Thine Own Self Be True? Incentive Problems in Personalized Law
By: Jordan M. Barry, John William Hatfield and Scott Duke Kominers
Recent years have seen an explosion of scholarship on “personalized law.” Commentators foresee a world in which regulators armed with big data and machine learning techniques determine the optimal legal rule for every regulated party, then instantaneously disseminate... View Details
Keywords: Personalized Law; Regulation; Regulatory Avoidance; Regulatory Arbitrage; Law And Economics; Law And Technology; Law And Artificial Intelligence; Futurism; Moral Hazard; Elicitation; Signaling; Privacy; Law; Governing Rules, Regulations, and Reforms; Information Technology; AI and Machine Learning
Barry, Jordan M., John William Hatfield, and Scott Duke Kominers. "To Thine Own Self Be True? Incentive Problems in Personalized Law." Art. 2. William & Mary Law Review 62, no. 3 (2021).