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Publications

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  • All HBS Web  (10,943)
    • People  (14)
    • News  (2,379)
    • Research  (6,730)
    • Events  (168)
    • Multimedia  (126)
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Show Results For

  • All HBS Web  (10,943)
    • People  (14)
    • News  (2,379)
    • Research  (6,730)
    • Events  (168)
    • Multimedia  (126)
  • Faculty Publications  (5,168)
← Page 8 of 10,943 Results →
  • 1999
  • Chapter

The Economics of Drug Discovery

By: Rebecca M. Henderson and Iain Cockburn
Keywords: Economics; Innovation and Invention; Research and Development; Pharmaceutical Industry
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Henderson, Rebecca M., and Iain Cockburn. "The Economics of Drug Discovery." Chap. 5 in Pharmaceutical Innovation, edited by Ralph Landau, Basil Achilladelis, and Alexander Scriabine, 308–331. Philadelphia: Chemical Heritage Press, 1999.
  • December 2023 (Revised August 2024)
  • Case

Monsters in the Machine? Tackling the Challenge of Responsible AI

By: Paul M. Healy and Debora L. Spar
In November of 2022, the small tech company OpenAI released ChatGPT, an artificial intelligence chatbot which quickly captured the public’s imagination—becoming the world’s fastest-growing consumer application within months of its release. Though observers from across... View Details
Keywords: Technological Innovation; AI and Machine Learning; Ethics; Governing Rules, Regulations, and Reforms; Technology Adoption; Corporate Social Responsibility and Impact; Technology Industry; United States; European Union; China
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Healy, Paul M., and Debora L. Spar. "Monsters in the Machine? Tackling the Challenge of Responsible AI." Harvard Business School Case 324-062, December 2023. (Revised August 2024.)
  • 10 Jan 2020
  • News

Competing in the Age of AI

  • May 2022
  • Supplement

Borusan CAT: Monetizing Prediction in the Age of AI (B)

By: Navid Mojir and Gamze Yucaoglu
Borusan Cat is an international distributor of Caterpillar heavy machines. In 2021, it had been three years since Ozgur Gunaydin (CEO) and Esra Durgun (Director of Strategy, Digitization, and Innovation) started working on Muneccim, the company’s predictive AI tool.... View Details
Keywords: AI and Machine Learning; Commercialization; Technology Adoption; Industrial Products Industry; Turkey; Middle East
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Mojir, Navid, and Gamze Yucaoglu. "Borusan CAT: Monetizing Prediction in the Age of AI (B)." Harvard Business School Supplement 522-045, May 2022.
  • 2016
  • Working Paper

Economic Transition and Private-Sector Labor Demand: Evidence from Urban China

By: Lakshmi Iyer, Xin Meng, Nancy Qian and Xiaoxue Zhao
This paper studies the policy determinants of economic transition and estimates the elasticity demand for labor in the infant private sector in urban China. We show that a reform that untied access to housing in urban areas from working for the state sector accounts... View Details
Keywords: Economic Transition; Structural Change; Labor Mobility; Transition; Human Capital; Private Sector; China
Citation
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Iyer, Lakshmi, Xin Meng, Nancy Qian, and Xiaoxue Zhao. "Economic Transition and Private-Sector Labor Demand: Evidence from Urban China." Harvard Business School Working Paper, No. 14-047, December 2013. (Revised April 2016.)
  • 02 Jun 2023
  • Video

Competing in the Age of AI

  • July 28, 2020
  • Article

Economic Vulnerability of Households with Essential Workers

By: Grace McCormack, Christopher Avery, Ariella Kahn-Lang Spitzer and Amitabh Chandra
The label of “essential worker” reflects society’s needs but does not mean that society has compensated those workers for additional risks incurred on the job during the current pandemic. When an essential worker contracts severe acute respiratory syndrome coronavirus... View Details
Keywords: Essential Workers; Health Pandemics; Household; Financial Condition; United States
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McCormack, Grace, Christopher Avery, Ariella Kahn-Lang Spitzer, and Amitabh Chandra. "Economic Vulnerability of Households with Essential Workers." JAMA, the Journal of the American Medical Association 324, no. 4 (July 28, 2020): 388–390.
  • 15 Aug 2023
  • News

Reskilling in the Age of AI

  • 10 Jun 2022
  • News

Competing in the Age of AI

  • Website

Data Sources: Economics of Digitization

By: Shane Greenstein
Citation
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Greenstein, Shane. Data Sources: Economics of Digitization. https://economicsofdigitization.hackpad.com/Data-sources-economics-of-digitization-8LSKSVZ38oR.
  • 2015
  • Book

Handbook of Experimental Economic Methodology

By: Guillaume R. Frechette and Andrew Schotter
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Frechette, Guillaume R. and Andrew Schotter, eds. Handbook of Experimental Economic Methodology. Oxford University Press, 2015.
  • 29 Mar 2023
  • News

Economic Report of the President

  • 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.
  • 13 Oct 2023
  • Video

Competing in the Age of AI

  • 10 May 2021
  • News

The Global Cultural Lens of AI

  • 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).

    Deals: The Economic Structure of Business Transactions

    Business transactions take widely varying forms―from multibillion-dollar corporate mergers to patent licenses to the signing of an all-star quarterback. Yet every deal shares the same goal, or at least should: to maximize the joint value created and to distribute... View Details
    • November 2023
    • Article

    Psychological Factors Underlying Attitudes toward AI Tools

    By: Julian De Freitas, Stuti Agarwal, B. Schmitt and N. Haslam
    What are the psychological factors driving attitudes toward AI tools, and how can resistance to AI systems be overcome when they are beneficial? In this perspective, we first organize the main sources of resistance into five main categories: opacity, emotionlessness,... View Details
    Keywords: Policy; Self; AI and Machine Learning; Attitudes; Technology Adoption
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    De Freitas, Julian, Stuti Agarwal, B. Schmitt, and N. Haslam. "Psychological Factors Underlying Attitudes toward AI Tools." Nature Human Behaviour 7, no. 11 (November 2023): 1845–1854.
    • 2010
    • Book

    A History of Irish Economic Thought

    For a country that can boast a distinguished tradition of political economy from Sir William Petty through Swift, Berkeley, Hutcheson, Burke, and Cantillon through to that of Longfield, Cairnes, Bastable, Edgeworth, Geary, and Gorman, it is surprising that no... View Details
    Keywords: History; Government and Politics; Economics; Republic of Ireland
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    Boylan, Thomas, Renee Prendergast, and John Turner, eds. A History of Irish Economic Thought. London: Routledge, 2010.
    • November–December 2023
    • Article

    Keep Your AI Projects on Track

    By: Iavor Bojinov
    AI—and especially its newest star, generative AI—is today a central theme in corporate boardrooms, leadership discussions, and casual exchanges among employees eager to supercharge their productivity. Sadly, beneath the aspirational headlines and tantalizing potential... View Details
    Keywords: Generative Models; AI and Machine Learning; Success; Failure; Product Development; Technology Adoption
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    Bojinov, Iavor. "Keep Your AI Projects on Track." Harvard Business Review 101, no. 6 (November–December 2023): 53–59.
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