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      • January 2025
      • Case

      North Forty: Managing Liquidity Through Change

      By: Luis M. Viceira and Brad Towne
      This case explores the interaction between spending and investment decisions at a family office, specifically the family office of Jeff and Tricia Raikes, with special emphasis on the management of spending, portfolio investments, and asset liquidity in the presence of... View Details
      Keywords: Family Office; Forecasting and Prediction; Asset Management; Financial Liquidity; Financial Strategy; Investment Portfolio; Spending; Planning
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      Viceira, Luis M., and Brad Towne. "North Forty: Managing Liquidity Through Change." Harvard Business School Case 225-061, January 2025.
      • January–February 2025
      • Article

      Want Your Company to Get Better at Experimentation?: Learn Fast by Democratizing Testing

      By: Iavor Bojinov, David Holtz, Ramesh Johari, Sven Schmit and Martin Tingley
      For years, online experimentation has fueled the innovations of leading tech companies, enabling them to rapidly test and refine new ideas, optimize product features, personalize user experiences, and maintain a competitive edge. The widespread availability and lower... View Details
      Keywords: Technological Innovation; AI and Machine Learning; Analytics and Data Science; Product Development; Competitive Advantage
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      Bojinov, Iavor, David Holtz, Ramesh Johari, Sven Schmit, and Martin Tingley. "Want Your Company to Get Better at Experimentation? Learn Fast by Democratizing Testing." Harvard Business Review 103, no. 1 (January–February 2025): 96–103.
      • 2024
      • Working Paper

      Scaling Core Earnings Measurement with Large Language Models

      By: Matthew Shaffer and Charles CY Wang
      We study the application of large language models (LLMs) to the estimation of core earnings, i.e., a firm's persistent profitability from its core business activities. This construct is central to investors' assessments of economic performance and valuations. However,... View Details
      Keywords: Large Language Models; AI and Machine Learning; Accounting; Profit; Corporate Disclosure; Analytics and Data Science; Measurement and Metrics
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      Shaffer, Matthew, and Charles CY Wang. "Scaling Core Earnings Measurement with Large Language Models." Working Paper, November 2024.
      • November 2024 (Revised May 2025)
      • Case

      Indonesia Education Reform: Merdeka Belajar ('Emancipated Learning')

      By: John Jong-Hyun Kim, Adina Wong, Nancy Hua Dai and Mary C. Sauer
      This case is set in 2024 in Indonesia, as Nadiem Makarim, Minister of Education, Culture, Research, and Technology, reflects on his tenure as Minister shortly before stepping down. With the ambition to lift Indonesia out of the middle-income gap by raising K12 to... View Details
      Keywords: Education; Change Management; Knowledge Dissemination; Government Administration; Leading Change; Innovation Strategy; Development Economics; Education Industry; Asia; Indonesia
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      Kim, John Jong-Hyun, Adina Wong, Nancy Hua Dai, and Mary C. Sauer. "Indonesia Education Reform: Merdeka Belajar ('Emancipated Learning')." Harvard Business School Case 325-060, November 2024. (Revised May 2025.)
      • November 2024
      • Article

      The Health Costs of Cost Sharing

      By: Amitabh Chandra, Evan Flack and Ziad Obermeyer
      What happens when patients suddenly stop their medications? We study the health consequences of drug interruptions caused by large, abrupt, and arbitrary changes in price. Medicare’s prescription drug benefit as-if-randomly assigns 65-year-olds a drug budget as a... View Details
      Keywords: Outcome or Result; Health Care and Treatment; Budgets and Budgeting; Cost
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      Chandra, Amitabh, Evan Flack, and Ziad Obermeyer. "The Health Costs of Cost Sharing." Quarterly Journal of Economics 139, no. 4 (November 2024): 2037–2082.
      • Fall 2024
      • Article

      The Problem of Good Conduct Among Financial Advisers

      By: Mark Egan, Gregor Matvos and Amit Seru
      Households in the United States often rely on financial advisers for investment and savings decisions, yet there is a widespread perception that many advisers are dishonest. This distrust is not unwarranted: approximately one in fifteen advisers has a history of... View Details
      Keywords: Personal Finance; Behavioral Finance; Trust; Financial Services Industry
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      Egan, Mark, Gregor Matvos, and Amit Seru. "The Problem of Good Conduct Among Financial Advisers." Journal of Economic Perspectives 38, no. 4 (Fall 2024): 193–210.
      • September–October 2024
      • Article

      The Art of Leading Teammates

      By: Tom Brady and Nitin Nohria
      When our society talks about leaders, we focus on formal roles, such as the CEO. This view undervalues the role of informal leaders—team members who influence outcomes by the tone they set, how they conduct themselves, and how they interact with their peers. Their job... View Details
      Keywords: Groups and Teams; Power and Influence; Leadership; Status and Position
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      Brady, Tom, and Nitin Nohria. "The Art of Leading Teammates." Harvard Business Review 102, no. 5 (September–October 2024): 62–69.
      • September 2024
      • Exercise

      Assessing the Value of Unifying and De-Duplicating Customer Data

      By: Elie Ofek and Hema Yoganarasimhan
      This exercise provides an opportunity for students to gain hands on experience with assessing the value of unifying various customer databases that a firm may have (e.g., across the different brands it markets) and of properly identifying customers to avoid duplication... View Details
      Keywords: Customer Relationship Management; Measurement and Metrics; Analytics and Data Science; Value
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      Ofek, Elie, and Hema Yoganarasimhan. "Assessing the Value of Unifying and De-Duplicating Customer Data." Harvard Business School Exercise 525-023, September 2024.
      • 2024
      • Working Paper

      Empirical Guidance: Data Processing and Analysis with Applications in Stata, R, and Python

      By: Melissa Ouellet and Michael W. Toffel
      This paper describes a range of best practices to compile and analyze datasets, and includes some examples in Stata, R, and Python. It is meant to serve as a reference for those getting started in econometrics, and especially those seeking to conduct data analyses in... View Details
      Keywords: Empirical Methods; Empirical Operations; Statistical Methods And Machine Learning; Statistical Interferences; Research Analysts; Analytics and Data Science; Mathematical Methods
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      Ouellet, Melissa, and Michael W. Toffel. "Empirical Guidance: Data Processing and Analysis with Applications in Stata, R, and Python." Harvard Business School Working Paper, No. 25-010, August 2024.
      • September 2024
      • Case

      Barbie: Reviving a Cultural Icon at Mattel (Abridged)

      By: Elie Ofek, Ryann Noe and Sarah Mehta
      The 2023 release of live-action film Barbie, and its accompanying marketing blitz, incited a worldwide Barbie craze. Suddenly Barbie was everywhere, a celebrated icon reinstated at the forefront of cultural conversation. This goodwill stood in contrast to decades of... View Details
      Keywords: Gender; Intellectual Property; Brands and Branding; Marketing Strategy; Public Opinion; Business Strategy; Entertainment and Recreation Industry; Motion Pictures and Video Industry
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      Ofek, Elie, Ryann Noe, and Sarah Mehta. "Barbie: Reviving a Cultural Icon at Mattel (Abridged)." Harvard Business School Case 525-020, September 2024.
      • 2024
      • Article

      Learning Under Random Distributional Shifts

      By: Kirk Bansak, Elisabeth Paulson and Dominik Rothenhäusler
      Algorithmic assignment of refugees and asylum seekers to locations within host countries has gained attention in recent years, with implementations in the U.S. and Switzerland. These approaches use data on past arrivals to generate machine learning models that can... View Details
      Keywords: AI and Machine Learning; Refugees; Employment
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      Bansak, Kirk, Elisabeth Paulson, and Dominik Rothenhäusler. "Learning Under Random Distributional Shifts." Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS) 27th (2024).
      • September–October 2024
      • Article

      Where Data-Driven Decision-Making Can Go Wrong

      By: Michael Luca and Amy C. Edmondson
      When considering internal data or the results of a study, often business leaders either take the evidence presented as gospel or dismiss it altogether. Both approaches are misguided. What leaders need to do instead is conduct rigorous discussions that assess any... View Details
      Keywords: Information; Analytics and Data Science; Analysis; Decision Making
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      Luca, Michael, and Amy C. Edmondson. "Where Data-Driven Decision-Making Can Go Wrong." Harvard Business Review 102, no. 5 (September–October 2024): 80–89.
      • August 2024
      • Background Note

      Your True Moral Compass

      By: Joseph L. Badaracco
      This note explores the concept of a "moral compass" for making difficult decisions in leadership roles. It argues that the standard view of a moral compass as a simple, internal guide is inadequate for complex situations. Instead, it proposes that our true moral... View Details
      Keywords: Moral Sensibility; Decision Choices and Conditions
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      Badaracco, Joseph L. "Your True Moral Compass." Harvard Business School Background Note 325-034, August 2024.
      • August 2024 (Revised January 2025)
      • Case

      Barbie: Reviving a Cultural Icon at Mattel

      By: Elie Ofek, Ryann Noe and Sarah Mehta
      The 2023 release of the live-action film Barbie, and its accompanying marketing blitz, incited a worldwide Barbie craze. Suddenly Barbie was everywhere, a celebrated icon reinstated at the forefront of cultural conversation. This goodwill stood in contrast to... View Details
      Keywords: Brands and Branding; Media; Intellectual Property; Business Strategy; Entertainment; Gender; Public Opinion; Marketing Strategy; Consumer Products Industry; Entertainment and Recreation Industry; Motion Pictures and Video Industry; Retail Industry; United States
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      Ofek, Elie, Ryann Noe, and Sarah Mehta. "Barbie: Reviving a Cultural Icon at Mattel." Harvard Business School Case 525-006, August 2024. (Revised January 2025.)
      • 2025
      • Working Paper

      Narrative AI and the Human-AI Oversight Paradox in Evaluating Early-Stage Innovations

      By: Jacqueline N. Lane, Léonard Boussioux, Charles Ayoubi, Ying Hao Chen, Camila Lin, Rebecca Spens, Pooja Wagh and Pei-Hsin Wang
      Do AI-generated narrative explanations enhance human oversight or diminish it? We investigate this question through a field experiment with 228 evaluators screening 48 early-stage innovations under three conditions: human-only, black-box AI recommendations without... View Details
      Keywords: Large Language Models; AI and Machine Learning; Innovation and Invention; Decision Making
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      Lane, Jacqueline N., Léonard Boussioux, Charles Ayoubi, Ying Hao Chen, Camila Lin, Rebecca Spens, Pooja Wagh, and Pei-Hsin Wang. "Narrative AI and the Human-AI Oversight Paradox in Evaluating Early-Stage Innovations." Harvard Business School Working Paper, No. 25-001, August 2024. (Revised May 2025.)
      • August 2024
      • Case

      Circle: Reinventing the Future of Money

      By: Shikhar Ghosh and Shweta Bagai
      In early 2024, Circle Internet Financial's leadership team gathered to discuss the company's strategic path as it prepared for an IPO. Founded in 2013 by Jeremy Allaire, Circle had emerged as a pioneer in digital finance through its USD Coin (USDC), a regulated... View Details
      Keywords: Currency; Governance Compliance; Initial Public Offering; Competition; Financial Services Industry
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      Ghosh, Shikhar, and Shweta Bagai. "Circle: Reinventing the Future of Money." Harvard Business School Case 825-067, August 2024.
      • August 2024
      • Article

      Heuristics on Call: The Impact of Mobile-Phone-Based Business-Management Advice

      By: Shawn Cole, Mukta Joshi and Antoinette Schoar
      There is growing evidence that business training for micro-entrepreneurs can be effective. However, in-person training can be expensive and imposes costs on the target beneficiaries. This paper presents the results of a two-site randomized evaluation of a light-touch,... View Details
      Keywords: Training; Entrepreneurship; Mobile and Wireless Technology; India; Philippines
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      Cole, Shawn, Mukta Joshi, and Antoinette Schoar. "Heuristics on Call: The Impact of Mobile-Phone-Based Business-Management Advice." World Bank Economic Review 38, no. 3 (August 2024): 580–597.
      • 2024
      • Article

      Neyman Meets Causal Machine Learning: Experimental Evaluation of Individualized Treatment Rules

      By: Michael Lingzhi Li and Kosuke Imai
      A century ago, Neyman showed how to evaluate the efficacy of treatment using a randomized experiment under a minimal set of assumptions. This classical repeated sampling framework serves as a basis of routine experimental analyses conducted by today’s scientists across... View Details
      Keywords: AI and Machine Learning; Research
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      Li, Michael Lingzhi, and Kosuke Imai. "Neyman Meets Causal Machine Learning: Experimental Evaluation of Individualized Treatment Rules." Journal of Causal Inference 12, no. 1 (2024).
      • Winter 2024
      • Article

      Return to Office Decisions: A Culture Question?

      By: Yo-Jud Cheng and Boris Groysberg
      Company culture is an important source of competitive advantage and differentiation. Even in times of crisis, leaders must attend to their company’s culture, designing it in alignment with their strategy and priorities. One of the most consequential decisions that... View Details
      Keywords: Organizational Culture; Employee Relationship Management
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      Cheng, Yo-Jud, and Boris Groysberg. "Return to Office Decisions: A Culture Question?" Management and Business Review 4, no. 1 (Winter 2024): 8–15.
      • July 2024
      • Technical Note

      Intellectual Property in Tough Tech Ventures

      By: Joshua Lev Krieger, Jim Matheson, Russ Wilcox and Mel Martin
      This note explains the crucial role of intellectual property rights (IPR), particularly patents, in the success of tough tech ventures (TTVs). It outlines the patent system's mechanics, emphasizing utility patents and their requirements for novelty, non-obviousness,... View Details
      Keywords: Intellectual Property
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      Krieger, Joshua Lev, Jim Matheson, Russ Wilcox, and Mel Martin. "Intellectual Property in Tough Tech Ventures." Harvard Business School Technical Note 825-045, July 2024.
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