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Show Results For
-
All HBS Web
(1,353)
- People (4)
- News (416)
- Research (579)
- Events (9)
- Multimedia (20)
- Faculty Publications (390)
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- Article
The Impact of the 'Open' Workspace on Human Collaboration
By: Ethan Bernstein and Stephen Turban
Organizations’ pursuit of increased workplace collaboration has led managers to transform traditional office spaces into “open,” transparency-enhancing architectures with fewer walls, doors, and other spatial boundaries, yet there is scant direct empirical research on...
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Keywords:
Open Office;
Transparency;
Collaboration;
Collective Intelligence;
Workspace;
Workspace Design;
Architecture;
Cubicles;
Boundaries;
Spatial Boundaries;
Human Behavior;
Propinquity;
Co-location;
Interaction;
Sociometers;
People Analytics;
Buildings and Facilities;
Communication;
Design;
Human Resources;
Leadership;
Management;
Organizational Design;
Organizational Structure;
Networks;
Social and Collaborative Networks;
Information Technology;
United States
Bernstein, Ethan, and Stephen Turban. "The Impact of the 'Open' Workspace on Human Collaboration." Art. 239. Philosophical Transactions of the Royal Society B, Biological Sciences 373, no. 1753 (August 19, 2018).
- 19 Dec 2023
- Research & Ideas
The 10 Most Popular Articles of 2023
life that includes rest, relationships, and a rewarding career. Is AI Coming for Your Job?In a post-AI world, where an algorithm can draft marketing copy—or even pop songs and movie scripts—anything seems possible. Harvard Business School faculty members discuss how...
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Keywords:
by Danielle Kost
- February 2018
- Case
Amazon, Google, and Apple: Smart Speakers and the Battle for the Connected Home
By: Rajiv Lal and Scott Johnson
Amazon, Google, and Apple all offer their own smart speaker. The devices represent each firm's entry point into the connected home market. All three companies come into the space with their own strengths and weaknesses. Who will win?
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Keywords:
Apple;
Apple Inc.;
Google;
Amazon;
Amazon.com;
Google Home;
Homepod;
Echo;
Smart Home;
Connected Home;
Voice;
Artificial Intelligence;
Machine Learning;
Internet Of Things;
Smart Speaker;
Connected Speaker;
Intelligent Assistants;
Virtual Assistants;
Voice Assistants;
Alexa;
Google Assistant;
Siri;
Technological Innovation;
Disruptive Innovation;
Competitive Strategy;
Business Strategy;
Adoption;
Information Infrastructure;
Information Technology;
Internet and the Web;
Mobile and Wireless Technology;
Applications and Software;
Technology Adoption;
Digital Platforms;
Household;
AI and Machine Learning;
Electronics Industry;
Technology Industry;
United States
Lal, Rajiv, and Scott Johnson. "Amazon, Google, and Apple: Smart Speakers and the Battle for the Connected Home." Harvard Business School Case 518-035, February 2018.
- 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...
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Keywords:
by Rocio Wu
- 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...
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Keywords:
by Kristen Senz
- 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...
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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...
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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...
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- 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...
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Keywords:
by Barbara DeLollis
- 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...
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Keywords:
by Dina Gerdeman
- 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...
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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.)
- 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.
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- 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.
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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.)
- Teaching Interest
Field Immersion Experiences in Leadership Development
By: Frances X. Frei
HBS students have traditionally been immersed in a case-study method that has encouraged them to think like leaders. As a part of the school’s recent curriculum innovation, Field Immersion Experiences for Leadership Development (FIELD) gives students meaningful...
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- 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...
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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
- 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...
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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).
- 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 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...
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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.)
- 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....
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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.)