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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
      • Teaching Note

      Sonder Holdings Inc.: Using Technology to Solve Hospitality's Frictions

      By: John A. Deighton and Leora Kornfeld
      Teaching Note for HBS Case No. 922-039. Digital disruption is challenging the hospitality industry. Traditional hotels face competition from platforms, most visibly Airbnb but also the homeshare divisions of online travel agencies such as Expedia and Booking.com, that... View Details
      Keywords: Digital Platforms; Disruptive Innovation; Competition; Market Participation; Accommodations Industry
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      Deighton, John A., and Leora Kornfeld. "Sonder Holdings Inc.: Using Technology to Solve Hospitality's Frictions." Harvard Business School Teaching Note 924-302, March 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.
      • March 2024 (Revised June 2024)
      • Case

      Kashat: Navigating the Uncertainties of the Egyptian Fintech Market

      By: Paul A. Gompers and Ahmed Dahawy
      Karim Nour, the founder of Kashat, an Egyptian nano-lending fintech company, is contemplating how to manage the growth of his startup. Over the summer of 2022, Kashat's loan disbursements had grown by nearly 40%, fueled by macroeconomic instability in Egypt. However,... View Details
      Keywords: Fintech; Business Model; Developing Countries and Economies; Acquisition; Business Exit or Shutdown; Mobile and Wireless Technology; Business Growth and Maturation; Business Startups; Financing and Loans; Capital; Financial Services Industry; Banking Industry; Egypt
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      Gompers, Paul A., and Ahmed Dahawy. "Kashat: Navigating the Uncertainties of the Egyptian Fintech Market." Harvard Business School Case 824-055, March 2024. (Revised June 2024.)
      • March 2024 (Revised April 2025)
      • Case

      TELEXISTENCE Inc.

      By: Paul A. Gompers and Akiko Saito
      A case about a Japanese robotics startup aiming to enter the U.S. market with its robots that combine AI and human intervention to complete restocking tasks in retail stores. View Details
      Keywords: Business Startups; Entrepreneurship; Market Entry and Exit; Technology Adoption; Decisions; AI and Machine Learning; Retail Industry; Technology Industry; Japan; United States
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      Gompers, Paul A., and Akiko Saito. "TELEXISTENCE Inc." Harvard Business School Case 224-031, March 2024. (Revised April 2025.)
      • 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
      • Exercise

      'Storrowed': A Generative AI Exercise

      By: Mitchell Weiss
      "Storrowed" is an exercise to help participants raise their capacity and curiosity for generative AI. It focuses on generative AI for problem understanding and ideation, but can be adapted for use more broadly. Participants use generative AI tools to understand a... View Details
      Keywords: AI and Machine Learning; Problems and Challenges
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      Weiss, Mitchell. "'Storrowed': A Generative AI Exercise." Harvard Business School Exercise 824-188, 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.)
      • March 2024
      • Supplement

      Madrigal: Conducting a Customer-Base Audit

      By: Eva Ascarza, Peter Fader, Bruce G.S. Hardie and Michael Ross
      This case presents a scenario where Madrigal, a U.S. retailer with a rich 20-year history and a solid loyalty program, faces a turning point with the arrival of a new CEO. This leadership change reveals a critical gap in understanding the customer base, prompting an... View Details
      Keywords: Customer Relationship Management; Analytics and Data Science; Growth and Development Strategy; Retail Industry; United States
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      Ascarza, Eva, Peter Fader, Bruce G.S. Hardie, and Michael Ross. "Madrigal: Conducting a Customer-Base Audit." Harvard Business School PowerPoint Supplement 524-068, March 2024.
      • March 2024
      • Supplement

      Madrigal: Conducting a Customer-Base Audit

      By: Eva Ascarza, Bruce Hardie, Peter S. Fader and Michael Ross
      This case presents a scenario where Madrigal, a U.S. retailer with a rich 20-year history and a solid loyalty program, faces a turning point with the arrival of a new CEO. This leadership change reveals a critical gap in understanding the customer base, prompting an... View Details
      Keywords: Customer Relationship Management; Analytics and Data Science; Growth and Development Strategy; Retail Industry; United States
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      Ascarza, Eva, Bruce Hardie, Peter S. Fader, and Michael Ross. "Madrigal: Conducting a Customer-Base Audit." Harvard Business School Spreadsheet Supplement 524-707, March 2024.
      • March 2024
      • Supplement

      Madrigal: Conducting a Customer-Base Audit

      By: Eva Ascarza, Bruce Hardie, Peter S. Fader and Michael Ross
      This case presents a scenario where Madrigal, a U.S. retailer with a rich 20-year history and a solid loyalty program, faces a turning point with the arrival of a new CEO. This leadership change reveals a critical gap in understanding the customer base, prompting an... View Details
      Keywords: Customer Relationship Management; Analytics and Data Science; Growth and Development Strategy; Retail Industry; United States
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      Ascarza, Eva, Bruce Hardie, Peter S. Fader, and Michael Ross. "Madrigal: Conducting a Customer-Base Audit." Harvard Business School Spreadsheet Supplement 524-706, March 2024.
      • March 2024
      • Teaching Note

      Madrigal: Conducting a Customer-Base Audit

      By: Eva Ascarza, Peter S. Fader, Bruce Hardie and Michael Ross
      Teaching Note for HBS Case No. 524-046. This case presents a scenario where Madrigal, a U.S. retailer with a rich 20-year history and a solid loyalty program, faces a turning point with the arrival of a new CEO. This leadership change reveals a critical gap in... View Details
      Keywords: Customer Relationship Management; Analytics and Data Science; Growth and Development Strategy; Customer Value and Value Chain; Retail Industry; United States
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      Ascarza, Eva, Peter S. Fader, Bruce Hardie, and Michael Ross. "Madrigal: Conducting a Customer-Base Audit." Harvard Business School Teaching Note 524-047, March 2024.
      • March 2024
      • Case

      Madrigal: Conducting a Customer-Base Audit

      By: Eva Ascarza, Bruce Hardie, Michael Ross and Peter S. Fader
      This case presents a scenario where Madrigal, a U.S. retailer with a rich 20-year history and a solid loyalty program, faces a turning point with the arrival of a new CEO. This leadership change reveals a critical gap in understanding the customer base, prompting an... View Details
      Keywords: Customer Relationship Management; Analytics and Data Science; Growth and Development Strategy; Customer Value and Value Chain; Retail Industry; United States
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      Ascarza, Eva, Bruce Hardie, Michael Ross, and Peter S. Fader. "Madrigal: Conducting a Customer-Base Audit." Harvard Business School Case 524-046, March 2024.
      • 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.
      • 2023
      • Working Paper

      Design-Based Inference for Multi-arm Bandits

      By: Dae Woong Ham, Iavor I. Bojinov, Michael Lindon and Martin Tingley
      Multi-arm bandits are gaining popularity as they enable real-world sequential decision-making across application areas, including clinical trials, recommender systems, and online decision-making. Consequently, there is an increased desire to use the available... View Details
      Keywords: Analytics and Data Science; Mathematical Methods
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      Ham, Dae Woong, Iavor I. Bojinov, Michael Lindon, and Martin Tingley. "Design-Based Inference for Multi-arm Bandits." Harvard Business School Working Paper, No. 24-056, 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 22, 2024
      • Article

      It’s Time to Give Up on Ending Social Media’s Misinformation Problem

      By: Scott Duke Kominers and Jesse Shapiro
      Keywords: Social Media; Lawsuits and Litigation; Information Publishing; Policy
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      Kominers, Scott Duke, and Jesse Shapiro. "It’s Time to Give Up on Ending Social Media’s Misinformation Problem." The Atlantic (website) (March 22, 2024).
      • March 2024
      • Article

      Being Together in Place as a Catalyst for Scientific Advance

      By: Eamon Duede, Misha Teplitskiy, Karim R. Lakhani and James Evans
      The COVID-19 pandemic necessitated social distancing at every level of society, including universities and research institutes, raising essential questions concerning the continuing importance of physical proximity for scientific and scholarly advance. Using customized... View Details
      Keywords: Geographic Location; Power and Influence; Body of Literature; Research
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      Duede, Eamon, Misha Teplitskiy, Karim R. Lakhani, and James Evans. "Being Together in Place as a Catalyst for Scientific Advance." Art. 104911. Research Policy 53, no. 2 (March 2024).
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