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  • All HBS Web  (1,219)
    • People  (1)
    • News  (246)
    • Research  (704)
    • Events  (17)
    • Multimedia  (9)
  • Faculty Publications  (589)
← Page 23 of 1,219 Results →
  • 07 May 2020
  • Research & Ideas

The One Good Thing Caused by COVID-19: Innovation

drastic changes in their interactions with consumers. In education, teachers from elementary schools to universities transformed content and delivered it online or through phones. Retailers started to license Amazon's Just Walk Out... View Details
Keywords: by Hong Luo and Alberto Galasso
  • December 1984
  • Case

Expense Tracking System at Tiger Creek

By: Shoshana Zuboff
Mill manager Carl Adelman learns that a group of senior managers is soon to visit the Tiger Creek mill to learn more about the success of the newly implemented Expense Tracking System. The System had been installed on two paper machines to give workers real time cost... View Details
Keywords: Management Teams; Success; Cost Management; Technology; Pulp and Paper Industry
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Zuboff, Shoshana. "Expense Tracking System at Tiger Creek." Harvard Business School Case 485-057, December 1984.
  • February 2021 (Revised June 2021)
  • Case

Bairong and the Promise of Big Data

By: Lauren Cohen, Xiaoyan Zhang and Spencer C.N. Hagist
Bairong CEO Felix Zhang, in launching his credit scoring start-up that incorporates 74,000 variables per individual, found strong initial success. However, the shifting regulatory environment, growing breadth of competitors, difficulties in retaining top talent, and... View Details
Keywords: Fintech; Big Data; Artificial Intelligence; Credit Scoring; Finance; Credit; Business Startups; AI and Machine Learning; Analytics and Data Science; China
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Cohen, Lauren, Xiaoyan Zhang, and Spencer C.N. Hagist. "Bairong and the Promise of Big Data." Harvard Business School Case 221-068, February 2021. (Revised June 2021.)
  • 03 Oct 2017
  • First Look

First Look at Research and Ideas, October 3, 2017

using people analytics in hiring. The case also provides an accessible yet thorough explanation of the key aspects of artificial intelligence (supervised, unsupervised, and reinforcement machine learning).... View Details
Keywords: by Sean Silverthorne
  • 26 Oct 2020
  • News

Great promise but potential for peril

  • 02 May 2023
  • What Do You Think?

How Should Artificial Intelligence Be Regulated—if at All?

assist, and score against an opponent with the help of AI and relentless 24-hour practice. Or when machines compose better memos, white papers,... View Details
Keywords: by James Heskett; Information Technology; Technology
  • 09 Jan 2024
  • In Practice

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

remote or hybrid setups; it’s about how AI and generative technologies are reshaping the very essence of work. I continue to have an abiding faith in everyone’s ability to View Details
Keywords: by Rachel Layne; Information Technology
  • 25 Feb 2025
  • Video

Michael Horn on the future of education

  • Summer 2024
  • Article

The Business Revolution: Economy-Wide Impacts of Artificial Intelligence and Digital Platforms

By: Hanna Halaburda, Jeffrey Prince, D. Daniel Sokol and Feng Zhu
In this essay, we identify several themes of the digital business transformation, with a particular focus on the economy-wide impacts of artificial intelligence and digital platforms. In doing so, we highlight specific industries, beyond just the high-profile “Big... View Details
Keywords: Digital Transformation; Digital Platforms; AI and Machine Learning
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Halaburda, Hanna, Jeffrey Prince, D. Daniel Sokol, and Feng Zhu. "The Business Revolution: Economy-Wide Impacts of Artificial Intelligence and Digital Platforms." Journal of Economics & Management Strategy 33, no. 2 (Summer 2024): 269–275.
  • March 2024 (Revised May 2025)
  • Case

Governing OpenAI (A)

By: Lynn S. Paine, Suraj Srinivasan and Will Hurwitz
In late November 2023, OpenAI’s new board of directors took stock of the situation. The company, which sought to develop artificial general intelligence (AGI)—computer systems with capabilities exceeding human abilities—was looking to regain its footing after a chaotic... View Details
Keywords: Artificial Intelligence; Board Of Directors; Board Decisions; Board Dynamics; Corporate Boards; Governance Changes; Governance Structure; Leadership Change; Legal Aspects Of Business; Nonprofit Governance; Strategy And Execution; Technological Change; AI and Machine Learning; Corporate Governance; Leadership; Management; Mission and Purpose; Technological Innovation; Governing Rules, Regulations, and Reforms; Governing and Advisory Boards; Resignation and Termination; Ethics; Nonprofit Organizations; Open Source Distribution; Partners and Partnerships; Technology Industry; San Francisco; United States
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Paine, Lynn S., Suraj Srinivasan, and Will Hurwitz. "Governing OpenAI (A)." Harvard Business School Case 324-103, March 2024. (Revised May 2025.)
  • 12 Jun 2018
  • First Look

New Research and Ideas, June 12, 2018

period. Stock indexes can transform longstanding behavior via nonpecuniary channels. Download working paper: https://www.hbs.edu/faculty/Pages/item.aspx?num=53030 Machine Learning View Details
Keywords: Dina Gerdeman
  • 25 Apr 2023
  • HBS Seminar

Bart Vanneste, UCL School of Management

    Tsedal Neeley

    Tsedal Neeley is the Senior Associate Dean and Chair of the MBA program at Harvard Business School, where she is the Naylor Fitzhugh Professor of Business Administration, Faculty Chair of the... View Details

    • March 2018
    • Case

    IBM: Watson and the Internet of Things

    By: Rajiv Lal and Scott Johnson
    IBM has recently launched a business unit devoted to the Internet of Things. The group's leadership team needs to figure out the best way to quickly scale its business in a fragmented and nascent market. View Details
    Keywords: IBM; Internet Of Things; Watson; Artificial Intelligence; Internet and the Web; Applications and Software; Mobile and Wireless Technology; Growth and Development Strategy; Emerging Markets; AI and Machine Learning; Technology Industry
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    Lal, Rajiv, and Scott Johnson. "IBM: Watson and the Internet of Things." Harvard Business School Case 518-027, March 2018.
    • 21 Jun 2010
    • Research & Ideas

    Strategy and Execution for Emerging Markets

    "We've wanted to learn about the challenges of the process and the challenges of companies in those markets trying to compete on a global platform. We are also curious how international companies have been... View Details
    Keywords: by Martha Lagace

      Jeremy Yang

      Jeremy Yang is an Assistant Professor of Business Administration in the Marketing Unit at Harvard Business School. He teaches Marketing in the MBA required curriculum. He develops data products for... View Details
      Keywords: advertising; media; entertainment; information; consumer products
      • 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
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      Israeli, Ayelet. "PittaRosso: Artificial Intelligence-Driven Pricing and Promotion." Harvard Business School Teaching Note 523-020, September 2022. (Revised November 2022.)
      • 14 Feb 2022
      • Research & Ideas

      Curiosity, Not Coding: 6 Skills Leaders Need in the Digital Age

      their actions. They must learn to see their decisions and actions as working hypotheses that they can only validate by collecting feedback on their impact as expeditiously as possible. Leaders will be... View Details
      Keywords: by Linda A. Hill, Ann Le Cam, Sunand Menon, and Emily Tedards; Technology
      • 13 Sep 2018
      • HBS Seminar

      Nitin Joglekar, Boston University

      • Research Summary

      Understanding the Limitations of Model Explanations

      By: Himabindu Lakkaraju
      The goal of this research is to understand how adversaries can exploit various algorithms used for explaining complex machine learning models with an intention to mislead end users. For instance, can adversaries trick these algorithms into masking their racial and... View Details
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