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  • All HBS Web  (983)
    • People  (1)
    • News  (155)
    • Research  (659)
    • Events  (13)
    • Multimedia  (3)
  • Faculty Publications  (564)

Show Results For

  • All HBS Web  (983)
    • People  (1)
    • News  (155)
    • Research  (659)
    • Events  (13)
    • Multimedia  (3)
  • Faculty Publications  (564)
← Page 30 of 983 Results →
  • 27 Jun 2024
  • Research & Ideas

Gen AI Marketing: How Some 'Gibberish' Code Can Give Products an Edge

their products listed on top, is that a good thing or a bad thing? It just depends on which side you’re looking from,” says Lakkaraju. The coffee machine experiment The study involves a hypothetical search for an “affordable” new coffee... View Details
Keywords: by Ben Rand; Technology
  • September 29, 2023
  • Article

Eliminating Algorithmic Bias Is Just the Beginning of Equitable AI

By: Simon Friis and James Riley
When it comes to artificial intelligence and inequality, algorithmic bias rightly receives a lot of attention. But it’s just one way that AI can lead to inequitable outcomes. To truly create equitable AI, we need to consider three forces through which it might make... View Details
Keywords: AI and Machine Learning; Prejudice and Bias; Equality and Inequality
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Friis, Simon, and James Riley. "Eliminating Algorithmic Bias Is Just the Beginning of Equitable AI." Harvard Business Review (website) (September 29, 2023).
  • Forthcoming
  • Article

Engaging Customers with AI in Online Chats: Evidence from a Randomized Field Experiment

By: Shunyuan Zhang and Das Narayandas
We examine how artificial intelligence (AI) affected the productivity of customer service agents and customer sentiment in online interactions. Collaborating with a meal delivery company, we conducted a randomized field experiment that exploited exogenous variation in... View Details
Keywords: AI and Machine Learning; Customer Focus and Relationships; Performance Efficiency
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Zhang, Shunyuan, and Das Narayandas. "Engaging Customers with AI in Online Chats: Evidence from a Randomized Field Experiment." Management Science (forthcoming).
  • June 2025
  • Case

Scale AI Scales Up

By: Boris Groysberg and Sarah L. Abbott
Scale AI, the data labeling and AI infrastructure company, had grown rapidly since it was founded in 2016; however, as Scale’s generative AI business was taking off, Alexandr Wang, Scale’s founder and CEO, became concerned that Scale was slowing down. Wang and the... View Details
Keywords: Artificial Intelligence; Technology And Innovation Management; Start-ups; Entrepreneur; Managing Growth; Hiring; Generative Ai; Data Labeling; Scale; AI and Machine Learning; Entrepreneurship; Talent and Talent Management; Growth Management; Leadership; Culture; Technology Industry; United States
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Groysberg, Boris, and Sarah L. Abbott. "Scale AI Scales Up." Harvard Business School Case 425-082, June 2025.
  • March 2025
  • Case

Mobvoi's Path Through Market Challenges and Business Reinvention

By: Paul A. Gompers and Shu Lin
Founded in 2012, Mobvoi evolved through multiple transformations—from AI-driven voice technology to smart wearables and later AI-generated content. Backed by major investors, the company navigated shifts in strategy while facing two failed IPO attempts. As market... View Details
Keywords: Business Startups; Entrepreneurship; AI and Machine Learning; Transformation; Initial Public Offering; Business Strategy; Technology Industry; China
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Gompers, Paul A., and Shu Lin. "Mobvoi's Path Through Market Challenges and Business Reinvention." Harvard Business School Case 825-158, March 2025.
  • July 2023
  • Supplement

Honeycomb (B): Jumping on The Generative AI Bandwagon?

By: Jeffrey J. Bussgang and Kumba Sennaar
Honeycomb, an audio app enabling users to record stories and save family memories, considers pivoting to embrace generative AI. What should the co-founders business model look like if they pursued this new direction? View Details
Keywords: Entrepreneurship; Venture Capital; Operations; Business Startups; Business Model; AI and Machine Learning; Technology Industry; United States
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Bussgang, Jeffrey J., and Kumba Sennaar. "Honeycomb (B): Jumping on The Generative AI Bandwagon?" Harvard Business School Supplement 824-013, July 2023.
  • December 2024 (Revised January 2025)
  • Technical Note

A Guide to the Vocabulary, Evolution, and Impact of Artificial Intelligence (AI)

By: Shane Greenstein, Nathaniel Lovin, Scott Wallsten, Kerry Herman and Susan Pinckney
A note on the vocabulary, evolution, and impact of AI. View Details
Keywords: Artificial Intelligence; Software; AI and Machine Learning; Technology Adoption; Technological Innovation; Technology Industry
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Greenstein, Shane, Nathaniel Lovin, Scott Wallsten, Kerry Herman, and Susan Pinckney. "A Guide to the Vocabulary, Evolution, and Impact of Artificial Intelligence (AI)." Harvard Business School Technical Note 625-039, December 2024. (Revised January 2025.)
  • March 2024
  • Teaching Note

'Storrowed': A Generative AI Exercise

By: Mitchell Weiss
Teaching Note for HBS Exercise No. 824-188. “Storrowed” is an exercise to help participants raise their proficiency with generative AI. It begins by highlighting a problem: trucks getting wedged underneath bridges in Boston, Massachusetts on the city’s Storrow Drive.... View Details
Keywords: AI and Machine Learning; Entrepreneurship; Innovation and Invention; Government Administration; Transportation Industry; Public Administration Industry
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Weiss, Mitchell. "'Storrowed': A Generative AI Exercise." Harvard Business School Teaching Note 824-189, March 2024.
  • November 2024 (Revised April 2025)
  • Case

Cheerful Music

By: Shunyuan Zhang, Feng Zhu and Nancy Hua Dai
Established by Snow Jiang in 2019 in Shenzhen, China, Cheerful Music was a record label company that had created many hit songs in China. “Yi Xiao Jiang Hu,” its most famous hit song, gained billions of views on social media platforms in China and overseas as the... View Details
Keywords: Generative Ai; Music Entertainment; Global Strategy; Business Model; AI and Machine Learning; Market Entry and Exit; Music Industry; China; United Kingdom; London
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Zhang, Shunyuan, Feng Zhu, and Nancy Hua Dai. "Cheerful Music." Harvard Business School Case 525-031, November 2024. (Revised April 2025.)
  • October 2024 (Revised February 2025)
  • Case

AI and Brand Management: Promises and Perils

By: Julian De Freitas and Elie Ofek
As AI gains traction across industries, companies anticipate that AI will revolutionize both backend processes and customer-facing interactions—with brands eager to leverage AI for tailored marketing materials and automated consumer engagements. Yet, despite a dramatic... View Details
Keywords: AI and Machine Learning; Brands and Branding; Reputation; Technology Adoption; Competitive Advantage
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De Freitas, Julian, and Elie Ofek. "AI and Brand Management: Promises and Perils." Harvard Business School Case 525-021, October 2024. (Revised February 2025.)
  • June 2024 (Revised September 2024)
  • Case

Driving Scale with Otto

By: Rebecca Karp, David Allen and Annelena Lobb
This case asks how startup founders make scaling decisions in light of their priorities for their business and for themselves. Otto was a technology company that applied artificial intelligence technology to sales. It deployed natural language processing to find sales... View Details
Keywords: Artificial Intelligence; Natural Language Processing; B2B; B2B Innovation; Scaling; Scaling Tech Ventures; Business Startups; AI and Machine Learning; Finance; Sales; Business Strategy; Growth and Development Strategy; Entrepreneurship; Information Technology Industry; United States; Cambridge; New York (city, NY); Spain
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Karp, Rebecca, David Allen, and Annelena Lobb. "Driving Scale with Otto." Harvard Business School Case 724-407, June 2024. (Revised September 2024.)
  • June 2020
  • Article

Real-time Data from Mobile Platforms to Evaluate Sustainable Transportation Infrastructure

By: Omar Isaac Asensio, Kevin Alvarez, Arielle Dror, Emerson Wenzel, Catharina Hollauer and Sooji Ha
By displacing gasoline and diesel fuels, electric cars and fleets reduce emissions from the transportation sector, thus offering important public health benefits. However, public confidence in the reliability of charging infrastructure remains a fundamental barrier to... View Details
Keywords: Environmental Sustainability; Transportation; Infrastructure; Behavior; AI and Machine Learning; Demand and Consumers
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Asensio, Omar Isaac, Kevin Alvarez, Arielle Dror, Emerson Wenzel, Catharina Hollauer, and Sooji Ha. "Real-time Data from Mobile Platforms to Evaluate Sustainable Transportation Infrastructure." Nature Sustainability 3, no. 6 (June 2020): 463–471.
  • Forthcoming
  • Article

Comparing the Value of Perceived Human Versus AI-Generated Empathy

By: Matan Rubin, Joanna Z. Li, Federico Zimmerman, Desmond C. Ong, Amit Goldenberg and Anat Perry
Artificial intelligence (AI) and specifically large language models demonstrate remarkable social–emotional abilities, which may improve human–AI interactions and AI’s emotional support capabilities. However, it remains unclear whether empathy, encompassing... View Details
Keywords: AI and Machine Learning; Emotions; Perception; Interpersonal Communication
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Rubin, Matan, Joanna Z. Li, Federico Zimmerman, Desmond C. Ong, Amit Goldenberg, and Anat Perry. "Comparing the Value of Perceived Human Versus AI-Generated Empathy." Nature Human Behaviour (forthcoming). (Pre-published online June 30, 2025.)
  • August 13, 2024
  • Editorial

Can AI Save Physicians from Burnout?

By: Susanna Gallani, Lidia Moura and Katie Sonnefeldt
Keywords: Well-being; AI and Machine Learning; Work-Life Balance; Health Industry
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Gallani, Susanna, Lidia Moura, and Katie Sonnefeldt. "Can AI Save Physicians from Burnout?" Harvard Business School Working Knowledge (August 13, 2024).
  • March 2024
  • Simulation

'Storrowed'

By: Mitchell Weiss
The game was built to accompany "Storrowed": A Generative AI Exercise, available through Harvard Business Publishing. The game adds a timing element to "Storrowed" and enables the teacher to reward teams for strong prompts or penalize teams for believing AI... View Details
Keywords: AI and Machine Learning; Decision Choices and Conditions; Risk and Uncertainty
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Weiss, Mitchell. "'Storrowed'." Harvard Business School Simulation 824-714, March 2024.
  • Teaching Interest

Overview

By: V.G. Narayanan
I teach accounting to MBA students, executives, and Harvard Extension School students. I teach topics from both financial and managerial accounting. I also train professors in teaching by the case method. View Details
Keywords: Financial Accounting; Management Accounting; Case Method Teaching; Corporate Governance; Customer Relationship Management; AI and Machine Learning; Health Industry; Education Industry; Banking Industry; India; North America
  • Web

Neil Band | MBA

track in tech entrepreneurship. Tech areas of interest: I’m fascinated by the application of machine learning, distributed systems, and cryptography to economics and biology. I currently research memory optimization in deep neural network... View Details
  • Research Summary

Overview

Michael is interested in research at the intersection of technology and supply chain in corporations, especially retailers. His recent projects have focused on Human-AI collaboration at retailers. View Details
Keywords: Supply Chain Management; Supply Chain; Operations; AI and Machine Learning; Retail Industry
  • 2025
  • Working Paper

Why Most Resist AI Companions

By: Julian De Freitas, Zeliha Oğuz-Uğuralp, Ahmet Kaan Uğuralp and Stefano Puntoni
AI companion applications—designed to serve as synthetic interaction partners—have recently become capable enough to reduce loneliness, a growing public health concern. However, behavioral research has yet to fully explain the barriers to adoption of such AI and... View Details
Keywords: Generative Ai; Chatbots; Artificial Intelligence; Algorithmic Aversion; Lonelines; Technology Adoption; AI and Machine Learning; Well-being; Emotions
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De Freitas, Julian, Zeliha Oğuz-Uğuralp, Ahmet Kaan Uğuralp, and Stefano Puntoni. "Why Most Resist AI Companions." Harvard Business School Working Paper, No. 25-030, December 2024. (Revised May 2025.)
  • June 19, 2023
  • Article

Should You Start a Generative AI Company?

By: Julian De Freitas
Many entrepreneurs are considering starting companies that leverage the latest generative AI technology, but they must ask themselves whether they have what it takes to compete on increasingly commoditized foundational models, or whether they should instead... View Details
Keywords: Business Startups; Entrepreneurship; AI and Machine Learning; Applications and Software
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De Freitas, Julian. "Should You Start a Generative AI Company?" Harvard Business Review (website) (June 19, 2023).
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