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Publications

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  • All HBS Web  (1,046)
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Show Results For

  • All HBS Web  (1,046)
    • People  (1)
    • News  (187)
    • Research  (679)
    • Events  (13)
    • Multimedia  (3)
  • Faculty Publications  (561)
← Page 19 of 1,046 Results →
  • 26 Apr 2023
  • In Practice

Is AI Coming for Your Job?

will be displaced in large numbers. Those job losses will be partially offset by job gains for machine learning specialists and emerging jobs like prompt engineers. But, once companies View Details
Keywords: by Kristen Senz; Technology
  • March 10, 2025
  • Article

How Gen AI Could Change the Value of Expertise

By: Joseph Fuller, Matt Sigelman and Michael Fenlon
In the near future, gen AI is likely to affect some 50 million jobs, automating away elements of some jobs and augmenting workers’ abilities in others. The extent of those changes will compel companies to reshape their organizational structures and rethink their talent... View Details
Keywords: AI and Machine Learning; Job Cuts and Outsourcing; Organizational Structure; Talent and Talent Management; Personal Development and Career
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Fuller, Joseph, Matt Sigelman, and Michael Fenlon. "How Gen AI Could Change the Value of Expertise." Harvard Business Review (website) (March 10, 2025).
  • 09 Jan 2024
  • In Practice

Harnessing AI: What Businesses Need to Know in ChatGPT’s Second Year

step into 2024, this could be the year a new paradigm for collaborative innovation emerges between human and machine intelligence. Crowdsourcing—a technique using diverse ideas from the masses—is one such area poised for change, research... View Details
Keywords: by Rachel Layne; Information Technology
  • Web

Accounting & Management - Faculty & Research

Economy ; Digital Banking ; Mobile Phones ; Developing Countries and Economies ; Mobile and Wireless Technology ; AI and Machine Learning ; Analytics and Data Science ; Credit ; Borrowing and Debt ;... View Details
  • Web

Creating Emerging Markets

Knowledge What Machine Learning Teaches Us about CEO Leadership Style Featured Videos Creating Emerging Markets Doing Good By Doing Business - Creating Emerging Markets Overcoming institutional voids to... View Details
  • 17 Jun 2014
  • First Look

First Look: June 17

out an Industrial Internet, connecting machines and devices, collecting their data and operations, and providing services to clients based on analytics of this data and information. The case considers the implications of such an... View Details
Keywords: Sean Silverthorne
  • 2025
  • Working Paper

Is Love Blind? AI-Powered Trading with Emotional Dividends

By: De-Rong Kong and Daniel Rabetti
We leverage the non-fungible tokens (NFTs) setting to assess the valuation of emotional dividends (LOVE), a long-standing empirical challenge in private-value markets such as art, antiques, and collectibles. Having created and validated our proxy, we use deep learning... View Details
Keywords: NFTs; Non-fungible Tokens; AI and Machine Learning; Valuation; Financial Markets
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Kong, De-Rong, and Daniel Rabetti. "Is Love Blind? AI-Powered Trading with Emotional Dividends." Working Paper, February 2025.
  • 16 Jul 2018
  • Research & Ideas

Kids of Working Moms Grow into Happy Adults

mother’s education, final results still showed that a mother’s work experience is strongly linked to her daughter’s future work performance, according to the recently published full study, Learning from Mum: Cross-National Evidence... View Details
Keywords: by Dina Gerdeman
  • 28 May 2024
  • In Practice

Job Search Advice for a Tough Market: Think Broadly and Stay Flexible

come to learn firsthand, firms have not only slashed hiring overall, but also pushed back start dates for those who have been hired. They have also adopted a stance of “firm first” rather than “accommodating” when dealing with new... View Details
Keywords: by Rachel Layne
  • Web

Podcast - Business & Environment

tech innovator, explaining how Dryad’s solar-powered sensors and mesh networks detect wildfires at their inception and transmit real-time alerts to their customers. He also discusses the technical challenges of embedding machine View Details
  • 19 Dec 2023
  • Research & Ideas

The 10 Most Popular Articles of 2023

People Get Ahead?Society seems to reward people with particular facial features. Research by Shunyuan Zhang and colleagues uses machine learning to analyze traits that people associate with charisma. The... View Details
Keywords: by Danielle Kost
  • Web

Marketing - Faculty & Research

humanized AI more harshly, and become outraged by programmed preferences—will limit the damage caused by AI failures. Keywords: AI and Machine Learning ; Brands and Branding ; Product Marketing ; Consumer... View Details
  • Web

Dean Srikant Datar | About

and machine learning and artificial intelligence. He has published his work on activity-based management, quality, productivity, time-based competition, new product development, bottleneck management,... View Details
  • Web

Competing in the Age of AI

Learn about the AI tools at your disposal, and how to deploy them in your organization. Machine learning isn't the future, it's the here and now. Develop the skills, master the... View Details
  • 2024
  • Working Paper

Using LLMs for Market Research

By: James Brand, Ayelet Israeli and Donald Ngwe
Large language models (LLMs) have rapidly gained popularity as labor-augmenting tools for programming, writing, and many other processes that benefit from quick text generation. In this paper we explore the uses and benefits of LLMs for researchers and practitioners... View Details
Keywords: Large Language Model; Research; AI and Machine Learning; Analysis; Customers; Consumer Behavior; Technology Industry; Information Technology Industry
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Brand, James, Ayelet Israeli, and Donald Ngwe. "Using LLMs for Market Research." Harvard Business School Working Paper, No. 23-062, April 2023. (Revised July 2024.)
  • 02 May 2023
  • What Do You Think?

How Should Artificial Intelligence Be Regulated—if at All?

(iStockphoto/Rost-9D) Artificial intelligence (AI) is the topic of the moment in circles ranging from science to business to religion. Its potential and implications are driven home when you see robot soccer players improve their game to the point that they behave as a... View Details
Keywords: by James Heskett; Information Technology; Technology
  • 2025
  • Book

The Experimentation Machine: Finding Product–Market Fit in the Age of AI

By: Jeffrey J. Bussgang
Leverage AI to be a 10x Founder

Today’s most successful founders know that the startups that learn the fastest will win. In The Experimentation Machine, I reveal how AI is transforming the way startups find product-market fit and scale.... View Details
Keywords: AI; Founder; Startup; AI and Machine Learning; Technology Adoption; Business Startups; Entrepreneurship; Market Entry and Exit
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Bussgang, Jeffrey J. The Experimentation Machine: Finding Product–Market Fit in the Age of AI. Damn Gravity Media, 2025.
  • Web

Entrepreneurial Management - Faculty & Research

Harvard Business School Case 825-209, June 2025. Konko AI: Automating Work with AI Agents By: Shikhar Ghosh , Shweta Bagai and Liang Wu June 2025 | Case | Faculty Research Keywords: AI ; AI and Machine View Details
  • 17 Jan 2008
  • Research & Ideas

If Marketing Experts Ran Elections

Maybe they have to register in advance, wait in line at the polling station, and use an out-of-date polling machine to do so. The commercial marketplace is much more convenient. Consumers can cast their votes at millions of... View Details
Keywords: by John A. Quelch
  • 2024
  • Working Paper

The Crowdless Future? Generative AI and Creative Problem Solving

By: Léonard Boussioux, Jacqueline N. Lane, Miaomiao Zhang, Vladimir Jacimovic and Karim R. Lakhani
The rapid advances in generative artificial intelligence (AI) open up attractive opportunities for creative problem-solving through human-guided AI partnerships. To explore this potential, we initiated a crowdsourcing challenge focused on sustainable, circular economy... View Details
Keywords: Large Language Models; Crowdsourcing; Generative Ai; Creative Problem-solving; Organizational Search; AI-in-the-loop; Prompt Engineering; AI and Machine Learning; Innovation and Invention
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Boussioux, Léonard, Jacqueline N. Lane, Miaomiao Zhang, Vladimir Jacimovic, and Karim R. Lakhani. "The Crowdless Future? Generative AI and Creative Problem Solving." Harvard Business School Working Paper, No. 24-005, July 2023. (Revised July 2024.)
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