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Show Results For
- All HBS Web
(1,316)
- People (4)
- News (444)
- Research (629)
- Events (9)
- Multimedia (27)
- Faculty Publications (418)
- 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 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.
- 11 Feb 2021
- HBS Seminar
Avi Goldfarb, University of Toronto Rotman School of Business
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
- 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
- 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).
- 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.)
- 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
- 03 Oct 2017
- First Look
First Look at Research and Ideas, October 3, 2017
whether EforAll has the capacity to expand, and if so, which new city it should expand to first. Purchase this case: https://cb.hbsp.harvard.edu/cbmp/product/818007-PDF-ENG Harvard Business School Case 418-020 GROW: Using Artificial View Details
Keywords: by Sean Silverthorne
- 04 Mar 2019
- News
A Founder's Key to Perseverance: Embracing Struggle
- 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.)
- November 1999
- Case
net.Genesis, Inc.
By: Robert J. Dolan, Rajiv Lal and Perry Fagan
Net.Genesis is planning a strategy for the developing Internet market. In particular, it is creating the category of e-business intelligence and striving to be the brand leader in it. View Details
Keywords: Emerging Markets; Strategic Planning; Expansion; Brands and Branding; Knowledge Use and Leverage; Marketing Communications; Internet and the Web; Change Management
Dolan, Robert J., Rajiv Lal, and Perry Fagan. "net.Genesis, Inc." Harvard Business School Case 500-009, November 1999.
- August 2022 (Revised January 2023)
- Case
Icario Health: AI to Drive Health Engagement
By: David C. Edelman
Icario Health has built a market-leading artificial intelligence (AI) engine to help health insurers drive better health behaviors for their members, enabling the insurers to improve their Medicare performance. View Details
Keywords: Marketing; Health Care and Treatment; AI and Machine Learning; Health Industry; United States
Edelman, David C. "Icario Health: AI to Drive Health Engagement." Harvard Business School Case 523-025, August 2022. (Revised January 2023.)
- 2022
- Chapter
Sustainability Science and Corporate Cleanup in Community Fields: The Translation, Resistance and Integration Process Model
By: P. Devereaux Jennings, Maggie Cascadden and Andrew J. Hoffman
Both practically and theoretically, the sustainability science and corporate operation perspectives often diverge. Overcoming this divergence requires some degree of engagement with organizational field members; not just negotiation, but on-the-ground process work to... View Details
Jennings, P. Devereaux, Maggie Cascadden, and Andrew J. Hoffman. "Sustainability Science and Corporate Cleanup in Community Fields: The Translation, Resistance and Integration Process Model." Chap. 12 in Handbook on the Business of Sustainability: The Organization, Implementation, and Practice of Sustainable Growth, edited by Gerard George, Martine Haas, Havovi Joshi, Anita McGahan, and Paul Tracey, 214–231. Edward Elgar Publishing, 2022.
- November 2023
- Case
Copilot(s): Generative AI at Microsoft and GitHub
This case tells the story of Microsoft’s 2018 acquisition of GitHub and the subsequent launch of GitHub Copilot, a tool that uses generative artificial intelligence to suggest snippets of code to software developers in real time. Set in late 2021, when Copilot was... View Details
Keywords: Business Ventures; Strategy; AI and Machine Learning; Applications and Software; Product Launch; Information Technology Industry; Technology Industry; Web Services Industry; United States; California
Nagle, Frank, Shane Greenstein, Maria P. Roche, Nataliya Langburd Wright, and Sarah Mehta. "Copilot(s): Generative AI at Microsoft and GitHub." Harvard Business School Case 624-010, November 2023.
- September 2011 (Revised December 2014)
- Background Note
Learning to Negotiate
By: Michael Wheeler
This brief note introduces to the student the challenges and rewards of learning to be a more skilled negotiator. Negotiation requires the integration of keen analytic insight with emotional intelligence capabilities. View Details
Wheeler, Michael. "Learning to Negotiate." Harvard Business School Background Note 912-004, September 2011. (Revised December 2014.)