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Show Results For
- All HBS Web
(1,448)
- People (4)
- News (460)
- Research (620)
- Events (9)
- Multimedia (26)
- Faculty Publications (427)
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- 13 Nov 2019
- Research & Ideas
Don't Turn Your Marketing Function Over to AI Just Yet
envisioned “virtual market” machine could become a reality but would still require one missing ingredient: a soul. The “soul” is our human intuition, scientific expertise, awareness of customer preferences, and industry knowledge—all capabilities that machines lack and... View Details
Keywords: by Kristen Senz
- 11 Feb 2020
- Sharpening Your Skills
10 Rules Entrepreneurs Need to Know Before Adopting AI
Although adoption of artificial intelligence (AI) and machine learning (ML) for the enterprise is still in the early days, the technology has matured enough for entrepreneurs to start gathering inspiration and evaluating opportunities for... View Details
Keywords: by Rocio Wu
- October 2021 (Revised June 2022)
- Case
PittaRosso: Artificial Intelligence-Driven Pricing and Promotion
By: Ayelet Israeli
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; AI; 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: Artificial Intelligence-Driven Pricing and Promotion." Harvard Business School Case 522-046, October 2021. (Revised June 2022.)
- 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
- 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
- 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.)
- 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.)
- 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
- 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.
- 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
- 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.)
- 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
- 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.)
- October 2018
- Case
Shield AI
By: Mitchell Weiss and A.J. Steinlage
Shield AI’s quadcopter – with no pilot and no flight plan – could clear a building and outpace human warfighters by almost five minutes. This was not to say that it was better than the warfighters or would replace their jobs, but it was evidence that autonomous robots... View Details
Keywords: Public Entrepreneurship; Artificial Intelligence; AI; Entrepreneurial Sales; Government; Defense; Shield AI; Brandon Tseng; Ryan Tseng; Andrew Reiter; Robots; Robotics; UAV; UAVs; Government Sales; Entrepreneurship; Public Sector; Sales; Government Administration; National Security; Business and Government Relations; AI and Machine Learning; Technology Industry; United States
Weiss, Mitchell, and A.J. Steinlage. "Shield AI." Harvard Business School Case 819-062, October 2018.
- 10 Jan 2007
- HBS Case
The Challenge of Managing National Security
Advanced Competitive Strategy: Integrating the Enterprise. Rivkin's most recent case, coauthored with former HBS colleague Michael Roberto and published this year, is "Managing National Intelligence (A): Before 9/11." The case... View Details
- 01 Mar 2018
- What Do You Think?
Two Decades Later, is the 'New Economy' Finally Here?
kinwun Summing Up: What are the Earmarks of a “New Economy?” Responses to this month’s column rightly focused on the need for measures and standards before deciding whether we are entering an era of social and economic change as significant as, say, the “industrial... View Details
Keywords: by James Heskett
- 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).
- 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.)