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      • March 2024 (Revised April 2024)
      • Supplement

      From 'BIG' Ideas to Sustainable Impact at ICL Group (B)

      By: Linda A. Hill and Lydia Begag
      In August 2023, Raviv Zoller, CEO of ICL Group, discussed his upcoming business trip to St. Louis with Eduard Croitoru, VP of ICL Corporate Initiatives, to commemorate the construction of ICL's new $400 million advanced manufacturing facility. In preparation for the... View Details
      Keywords: Change Management; Agribusiness; Accounting; Communication; Renewable Energy; Chemicals; Machinery and Machining; Metals and Minerals; Mining; Social Entrepreneurship; Corporate Entrepreneurship; Values and Beliefs; Environmental Sustainability; Natural Resources; Globalization; Information Technology; Collaborative Innovation and Invention; Leadership; Organizational Culture; Personal Development and Career; Partners and Partnerships; Manufacturing Industry; Agriculture and Agribusiness Industry; Chemical Industry; Battery Industry; Israel; United States; China
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      Hill, Linda A., and Lydia Begag. "From 'BIG' Ideas to Sustainable Impact at ICL Group (B)." Harvard Business School Supplement 424-043, March 2024. (Revised April 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.
      • 2024
      • Working Paper

      The Cram Method for Efficient Simultaneous Learning and Evaluation

      By: Zeyang Jia, Kosuke Imai and Michael Lingzhi Li
      We introduce the "cram" method, a general and efficient approach to simultaneous learning and evaluation using a generic machine learning (ML) algorithm. In a single pass of batched data, the proposed method repeatedly trains an ML algorithm and tests its empirical... View Details
      Keywords: AI and Machine Learning
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      Jia, Zeyang, Kosuke Imai, and Michael Lingzhi Li. "The Cram Method for Efficient Simultaneous Learning and Evaluation." Working Paper, March 2024.
      • 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.
      • March 2024 (Revised June 2025)
      • Teaching Note

      CoPilot(s): Generative AI at Microsoft and GitHub

      By: Frank Nagle and Maria P. Roche
      This teaching note is the companion to case N9-624-010 CoPilot(s): Generative AI at Microsoft and GitHub, which takes place in late 2021. The case briefly describes the history of both GitHub and Microsoft with a particular focus on open source software (OSS)—software... View Details
      Keywords: Mergers and Acquisitions; AI and Machine Learning; Applications and Software; Technological Innovation; Product Launch; Open Source Distribution; Product Development; Commercialization; Competition; Resource Allocation; Technology Industry
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      Nagle, Frank, and Maria P. Roche. "CoPilot(s): Generative AI at Microsoft and GitHub." Harvard Business School Teaching Note 724-452, March 2024. (Revised June 2025.)
      • 2023
      • Working Paper

      An Experimental Design for Anytime-Valid Causal Inference on Multi-Armed Bandits

      By: Biyonka Liang and Iavor I. Bojinov
      Typically, multi-armed bandit (MAB) experiments are analyzed at the end of the study and thus require the analyst to specify a fixed sample size in advance. However, in many online learning applications, it is advantageous to continuously produce inference on the... View Details
      Keywords: Analytics and Data Science; AI and Machine Learning; Mathematical Methods
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      Liang, Biyonka, and Iavor I. Bojinov. "An Experimental Design for Anytime-Valid Causal Inference on Multi-Armed Bandits." Harvard Business School Working Paper, No. 24-057, March 2024.
      • 2024
      • Working Paper

      Anytime-Valid Inference in Linear Models and Regression-Adjusted Causal Inference

      By: Michael Lindon, Dae Woong Ham, Martin Tingley and Iavor I. Bojinov
      Linear regression adjustment is commonly used to analyze randomized controlled experiments due to its efficiency and robustness against model misspecification. Current testing and interval estimation procedures leverage the asymptotic distribution of such estimators to... View Details
      Keywords: Mathematical Methods; Analytics and Data Science
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      Lindon, Michael, Dae Woong Ham, Martin Tingley, and Iavor I. Bojinov. "Anytime-Valid Inference in Linear Models and Regression-Adjusted Causal Inference." Harvard Business School Working Paper, No. 24-060, March 2024.
      • 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.)
      • March 2024 (Revised August 2024)
      • Case

      Darktrace: Scaling Cybersecurity and AI (A)

      By: Jeffrey F. Rayport and Alexis Lefort
      In 2023, Darktrace CEO Poppy Gustafsson was contemplating her growth strategy at a leading U.K.-based cybersecurity venture, launched in 2013 by a group of anti-terror cyber specialists, University of Cambridge mathematicians, and artificial intelligence (AI) experts.... View Details
      Keywords: Technology; Talent; Scaling; Entrepreneurship; Cybersecurity; Leadership; Business Growth and Maturation; Recruitment; Resignation and Termination; AI and Machine Learning; Growth and Development Strategy; Organizational Culture; Going Public; Technology Industry; United Kingdom; Europe; United States
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      Rayport, Jeffrey F., and Alexis Lefort. "Darktrace: Scaling Cybersecurity and AI (A)." Harvard Business School Case 824-092, March 2024. (Revised August 2024.)
      • 2024
      • Book

      Deals: The Economic Structure of Business Transactions

      By: Guhan Subramanian and Michael Klausner
      Drawing on real-life cases from a wide range of industries, two acclaimed experts offer a sophisticated but accessible guide to business deals, designed to maximize value for your side.

      Business transactions take widely varying forms—from multibillion-dollar... View Details
      Keywords: Negotiation; Contracts
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      Subramanian, Guhan, and Michael Klausner. Deals: The Economic Structure of Business Transactions. Harvard University Press, 2024.
      • February 2024
      • Background Note

      Frederick Herzberg on Motivating Employees

      By: Willy C. Shih
      This background note summarizes Frederick Herzberg's development of his motivation-hygiene theory, his theory regarding job enrichment, and how the theory has evolved. This is at the core of extrinsic versus intrinsic motivation. View Details
      Keywords: Motivation and Incentives; Theory; Service Industry; Manufacturing Industry; United States
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      Shih, Willy C. "Frederick Herzberg on Motivating Employees." Harvard Business School Background Note 624-085, February 2024.
      • February 26, 2024
      • Article

      Making Workplaces Safer Through Machine Learning

      By: Matthew S. Johnson, David I. Levine and Michael W. Toffel
      Machine learning algorithms can dramatically improve regulatory effectiveness. This short article describes the authors' scholarly work that shows how the U.S. Occupational Safety and Health Administration (OSHA) could have reduced nearly twice as many occupational... View Details
      Keywords: Government Experimentation; Auditing; Inspection; Evaluation; Process Improvement; Government Administration; AI and Machine Learning; Safety; Governing Rules, Regulations, and Reforms
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      Johnson, Matthew S., David I. Levine, and Michael W. Toffel. "Making Workplaces Safer Through Machine Learning." Regulatory Review (February 26, 2024).
      • February 2024 (Revised July 2024)
      • Case

      Taffi: Entrepreneurship in Saudi Arabia

      By: Paul A. Gompers and Fares Khrais
      Taffi was a tech-enabled fashion styling startup founded by Shahad Geoffrey in Saudi Arabia in 2020. Within three years of operating, Geoffrey had pivoted the business multiple times. In 2023, Geoffrey was attempting the business’s most ambitious pivot yet, shifting... View Details
      Keywords: Business Startups; Disruption; Entrepreneurship; Venture Capital; Investment; Growth and Development Strategy; Business Strategy; AI and Machine Learning; Fashion Industry; Technology Industry; Saudi Arabia; Arabian Peninsula
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      Gompers, Paul A., and Fares Khrais. "Taffi: Entrepreneurship in Saudi Arabia." Harvard Business School Case 224-052, February 2024. (Revised July 2024.)
      • 2025
      • Working Paper

      Precautionary Debt Capacity

      By: Deniz Aydin and Olivia S. Kim
      The determinants of debt capacity are a central theme in finance and macroeconomics, yet it remains unclear why firms leave some of their debt capacity unused and whether this affects investment and growth. Textbook theory suggests that firms should not leave their... View Details
      Keywords: Borrowing and Debt; Credit; Financing and Loans
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      Aydin, Deniz, and Olivia S. Kim. "Precautionary Debt Capacity." SSRN Working Paper Series, No. 2024/01. (Best Paper Award, Red Rock Finance Conference.)
      • February 2024
      • Teaching Note

      Data-Driven Denim: Financial Forecasting at Levi Strauss

      By: Mark Egan
      Teaching Note for HBS Case No. 224-029. Levi Strauss & Co. (“Levi Strauss”) partnered with the IT services company Wipro to incorporate more sophisticated methods, such as machine learning, into their financial forecasting process starting in 2018. The decision to... View Details
      Keywords: Forecasting; Regression; Machine Learning; Artificial Intelligence; Apparel; Corporate Finance; Forecasting and Prediction; AI and Machine Learning; Apparel and Accessories Industry; United States
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      Egan, Mark. "Data-Driven Denim: Financial Forecasting at Levi Strauss." Harvard Business School Teaching Note 224-073, February 2024.
      • February 6, 2024
      • Article

      Find the AI Approach That Fits the Problem You’re Trying to Solve

      By: George Westerman, Sam Ransbotham and Chiara Farronato
      AI moves quickly, but organizations change much more slowly. What works in a lab may be wrong for your company right now. If you know the right questions to ask, you can make better decisions, regardless of how fast technology changes. You can work with your technical... View Details
      Keywords: Technology Adoption; AI and Machine Learning; Organizational Change and Adaptation; Technological Innovation; Analytics and Data Science
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      Westerman, George, Sam Ransbotham, and Chiara Farronato. "Find the AI Approach That Fits the Problem You’re Trying to Solve." Harvard Business Review Digital Articles (February 6, 2024).
      • February 2024
      • Teaching Note

      TimeCredit

      By: Emanuele Colonnelli, Raymond Kluender and Shai Benjamin Bernstein
      Teaching Note for HBS Case No. 824-139. TimeCredit is an artificial intelligence (AI) startup that is developing large language models (LLMs) to generate accounting memos. The case follows Ndonga Sagnia, a Gambian Harvard Business School MBA student with an accounting... View Details
      Keywords: Accounting; Business Startups; Entrepreneurship; Financing and Loans; AI and Machine Learning; Entrepreneurial Finance; Identity; Partners and Partnerships; Technology Industry
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      Colonnelli, Emanuele, Raymond Kluender, and Shai Benjamin Bernstein. "TimeCredit." Harvard Business School Teaching Note 824-171, February 2024.
      • February 2024
      • Case

      Continuity & Change at Boston Consulting Group

      By: David G. Fubini, Suraj Srinivasan and David Lane
      As the new CEO of Boston Consulting Group (BCG) since autumn 2021, Christoph Schweizer had big shoes to fill—his predecessor, Rich Lesser, had tripled the partnership’s total revenues and created digital initiatives that contributed 40+% of 2021 revenues, more than... View Details
      Keywords: Business Organization; Change Management; Talent and Talent Management; Governance; AI and Machine Learning; Environmental Sustainability; Leading Change; Risk Management; Organizational Culture; Partners and Partnerships; Revenue; Growth and Development Strategy; Management Succession; Consulting Industry
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      Fubini, David G., Suraj Srinivasan, and David Lane. "Continuity & Change at Boston Consulting Group." Harvard Business School Case 124-011, February 2024.
      • February 2024
      • Case

      ReSpo.Vision: The Kickstart of an AI Sports Revolution

      By: Paul A. Gompers, Elena Corsi and Nikolina Jonsson
      This case study explores the growth journey of Polish computer vision sports start-up ReSpo.Vision in an emerging entrepreneurial ecosystem. By providing 3D data and analysis to soccer clubs, ReSpo.Vision achieved significant milestones with a €1 million seed round, an... View Details
      Keywords: Business Startups; Business Plan; Experience and Expertise; Talent and Talent Management; Decisions; Decision Choices and Conditions; Forecasting and Prediction; Entrepreneurship; Venture Capital; AI and Machine Learning; Analytics and Data Science; Applications and Software; Business Strategy; Sports Industry; Technology Industry; Poland; Europe
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      Gompers, Paul A., Elena Corsi, and Nikolina Jonsson. "ReSpo.Vision: The Kickstart of an AI Sports Revolution." Harvard Business School Case 824-151, February 2024.
      • February 2024 (Revised September 2024)
      • Case

      TimeCredit

      By: Emanuele Colonnelli, Raymond Kluender and Shai Benjamin Bernstein
      TimeCredit is an artificial intelligence (AI) startup that is developing large language models (LLMs) to generate accounting memos. The case follows Ndonga Sagnia, a Gambian Harvard Business School MBA student with an accounting background, as she decides how much... View Details
      Keywords: Accounting; Business Startups; Entrepreneurship; Financing and Loans; AI and Machine Learning; Entrepreneurial Finance; Identity; Technology Industry
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      Colonnelli, Emanuele, Raymond Kluender, and Shai Benjamin Bernstein. "TimeCredit." Harvard Business School Case 824-139, February 2024. (Revised September 2024.)
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