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      • June 2025
      • Article

      Outcome and Process Frames: Strategic Renewal and Capability Reprioritization at the Federal Bureau of Investigation

      By: Ryan Raffaelli, Tiona Zuzul, Ranjay Gulati and Jan Rivkin
      [Research Summary]: Framing is critical for leaders who must build support for strategic renewal. While research has concentrated on renewal that replaces one set of capabilities with another, we explore a distinctive challenge: how leaders persuade stakeholders to... View Details
      Keywords: Framing; Stakeholder Management; Capabilities; Transformation; Leading Change; Crisis Management; Resource Allocation; Government and Politics; Business and Stakeholder Relations; Public Administration Industry
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      Raffaelli, Ryan, Tiona Zuzul, Ranjay Gulati, and Jan Rivkin. "Outcome and Process Frames: Strategic Renewal and Capability Reprioritization at the Federal Bureau of Investigation." Strategic Management Journal 46, no. 6 (June 2025): 1325–1362. (Lead article.)
      • June 2025
      • Article

      What Board-level Control Mechanisms Changed in Banks Following the 2008 Financial Crisis? A Descriptive Study

      By: Shelly Li, Shivram Rajgopal, Suraj Srinivasan and Yu Ting Forester Wong
      Following the 2008 financial crisis, the Financial Crisis Inquiry Commission (FCIC) identified major shortcomings in bank board governance, contributing to systemic risk management failures. This study adapts a management control framework and empirically examines... View Details
      Keywords: Board Of Directors; Management Control; Governing and Advisory Boards; Governance Controls; Risk Management; Change Management; Banks and Banking; Financial Crisis
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      Li, Shelly, Shivram Rajgopal, Suraj Srinivasan, and Yu Ting Forester Wong. "What Board-level Control Mechanisms Changed in Banks Following the 2008 Financial Crisis? A Descriptive Study." Art. 101596. Accounting, Organizations and Society 114 (June 2025).
      • 2024
      • Case

      EPCorp: Convincing the C-Suite

      By: Jacob M. Cook
      In EPCorp: Convincing the C-Suite, Shivani Bahl is attempting to sell EPCorp's CEO, Debbie Sullivan, on her ideas for not only a new website upgrade but also a more expansive vision on how data and Generative AI can be used to grow the company. Debbie is understandably... View Details
      Keywords: AI and Machine Learning; E-commerce; Growth and Development Strategy
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      Cook, Jacob M. "EPCorp: Convincing the C-Suite." Harvard Business Publishing Case, 2024. (Quick Case.)
      • 2025
      • Working Paper

      The Political Economy of Firm Networks: CEO Ideology and Global Trade

      By: Elisabeth Kempf, Mancy Luo and Margarita Tsoutsoura
      We examine how the political ideology of corporate leaders shapes cross-border firm networks. Exploiting changes in ideological alignment between U.S. firm CEOs and foreign governments around close foreign elections, we show that U.S. firms are more likely to... View Details
      Keywords: Global Trade; Firm Networks; Political Ideology; Elections; Political Economy; Political Elections; Cross-Cultural and Cross-Border Issues; Trade
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      Kempf, Elisabeth, Mancy Luo, and Margarita Tsoutsoura. "The Political Economy of Firm Networks: CEO Ideology and Global Trade." Harvard Business School Working Paper, No. 25-050, April 2025.
      • April 2025
      • Article

      An Anatomy of Crypto-Enabled Cybercrimes

      By: Will Cong, Campbell Harvey, Daniel Rabetti and Zong-Yu Wu
      The advent of cryptocurrencies and digital assets holds the promise of improving financial systems by offering cheap, quick, and secure transfer of value. However, it also opens up new payment channels for cybercrimes. Assembling a diverse set of public on- and... View Details
      Keywords: Cryptocurrency; Crime and Corruption; Technology Adoption; Currency; Policy
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      Cong, Will, Campbell Harvey, Daniel Rabetti, and Zong-Yu Wu. "An Anatomy of Crypto-Enabled Cybercrimes." Management Science 71, no. 4 (April 2025): 3622–3633.
      • April 2025
      • Article

      The Allocation of Socially Responsible Capital

      By: Daniel Green and Benjamin N. Roth
      Portfolio allocation decisions increasingly incorporate social values. We develop a tractable framework to study how competition between investors to own socially valuable assets affects social welfare. Relative to the most common social-investing strategies, we... View Details
      Keywords: Socially Responsible Investing; Investment Portfolio; Welfare; Social Issues; Investment Return
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      Green, Daniel, and Benjamin N. Roth. "The Allocation of Socially Responsible Capital." Journal of Finance 80, no. 2 (April 2025): 755–781.
      • 2025
      • Working Paper

      Tax Planning, Illiquidity, and Credit Risks: Evidence from DeFi Lending

      By: Lisa De Simone, Peiyi Jin and Daniel Rabetti
      This study establishes a plausible causal link between tax-planning-induced illiquidity and credit risks in lending markets. Exploiting an exogenous tax shock imposed by the Internal Revenue Service (IRS) on cryptocurrency gains, along with millions of transactions in... View Details
      Keywords: Cryptocurrency; Taxation; Financial Liquidity; Credit; Financing and Loans; Financial Markets
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      De Simone, Lisa, Peiyi Jin, and Daniel Rabetti. "Tax Planning, Illiquidity, and Credit Risks: Evidence from DeFi Lending." Working Paper, February 2025.
      • 2025
      • Working Paper

      Dynamic Personalization with Multiple Customer Signals: Multi-Response State Representation in Reinforcement Learning

      By: Liangzong Ma, Ta-Wei Huang, Eva Ascarza and Ayelet Israeli
      Reinforcement learning (RL) offers potential for optimizing sequences of customer interactions by modeling the relationships between customer states, company actions, and long-term value. However, its practical implementation often faces significant challenges.... View Details
      Keywords: Dynamic Policy; Deep Reinforcement Learning; Representation Learning; Dynamic Difficulty Adjustment; Latent Variable Models; Customer Relationship Management; Customer Value and Value Chain; Foreign Direct Investment; Analytics and Data Science
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      Ma, Liangzong, Ta-Wei Huang, Eva Ascarza, and Ayelet Israeli. "Dynamic Personalization with Multiple Customer Signals: Multi-Response State Representation in Reinforcement Learning." Harvard Business School Working Paper, No. 25-037, February 2025.
      • February 2025
      • Article

      Innovations in Evaluating Ambulatory Costs of Cystic Fibrosis Care: A Comparative Study Across Multidisciplinary Care Centers in Ireland and the United States

      By: Emma Brady, Ryan C. Perkins, Kate Cullen, Gregory S. Sawicki, Robert S. Kaplan and Gerardine Doyle
      Lead clinicians at two large pediatric cystic fibrosis (CF) centers in the United States and Ireland measured and compared their ambulatory care costs. The clinicians selected three strata of patients (0–11 months, 1–5 years, and 6–17 years of age). Process maps were... View Details
      Keywords: Health Care and Treatment; Cost; Service Delivery; Resource Allocation; Health Industry
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      Brady, Emma, Ryan C. Perkins, Kate Cullen, Gregory S. Sawicki, Robert S. Kaplan, and Gerardine Doyle. "Innovations in Evaluating Ambulatory Costs of Cystic Fibrosis Care: A Comparative Study Across Multidisciplinary Care Centers in Ireland and the United States." NEJM Catalyst Innovations in Care Delivery 6, no. 2 (February 2025).
      • January 2025
      • Article

      Reducing Prejudice with Counter-stereotypical AI

      By: Erik Hermann, Julian De Freitas and Stefano Puntoni
      Based on a review of relevant literature, we propose that the proliferation of AI with human-like and social features presents an unprecedented opportunity to address the underlying cognitive and affective drivers of prejudice. An approach informed by the psychology of... View Details
      Keywords: Prejudice and Bias; AI and Machine Learning; Interpersonal Communication; Social and Collaborative Networks
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      Hermann, Erik, Julian De Freitas, and Stefano Puntoni. "Reducing Prejudice with Counter-stereotypical AI." Consumer Psychology Review 8, no. 1 (January 2025): 75–86.
      • 2025
      • Working Paper

      Why Most Resist AI Companions

      By: Julian De Freitas, Zeliha Oğuz-Uğuralp, Ahmet Kaan Uğuralp and Stefano Puntoni
      AI companion applications—designed to serve as synthetic interaction partners—have recently become capable enough to reduce loneliness, a growing public health concern. However, behavioral research has yet to fully explain the barriers to adoption of such AI and... View Details
      Keywords: Generative Ai; Chatbots; Artificial Intelligence; Algorithmic Aversion; Lonelines; Technology Adoption; AI and Machine Learning; Well-being; Emotions
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      De Freitas, Julian, Zeliha Oğuz-Uğuralp, Ahmet Kaan Uğuralp, and Stefano Puntoni. "Why Most Resist AI Companions." Harvard Business School Working Paper, No. 25-030, December 2024. (Revised May 2025.)
      • 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.
      • September 2024 (Revised December 2024)
      • Case

      Ming Min Hui at Boston Ballet

      By: Edward H. Chang, David Allen and Annelena Lobb
      This case asks how Ming Min Hui, the newly appointed executive director of Boston Ballet, should ensure that the company stays true to its art form yet relevant to its times. Hui stood out among ballet leaders as a young, Asian American woman with a Harvard Business... View Details
      Keywords: Arts; Change; Diversity; Gender; Race; Theater Entertainment; Leadership; Management; Nonprofit Organizations; Entertainment and Recreation Industry; Music Industry; United States; Massachusetts; Boston
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      Chang, Edward H., David Allen, and Annelena Lobb. "Ming Min Hui at Boston Ballet." Harvard Business School Case 925-003, September 2024. (Revised December 2024.)
      • 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.
      • August 2024 (Revised August 2024)
      • Background Note

      Note on Adherence in Healthcare

      By: Regina E. Herzlinger, Zachery Page and Ben Creo
      This note provides an overview of adherence in healthcare. It discusses systemwide costs of non-adherence, common barriers to adherence, relevant stakeholders, novel compliance tactics, and the impact on digital therapeutic adoption. It is recommended as a companion to... View Details
      Keywords: Health Care and Treatment; Behavior; Health Industry
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      Herzlinger, Regina E., Zachery Page, and Ben Creo. "Note on Adherence in Healthcare." Harvard Business School Background Note 325-025, August 2024. (Revised August 2024.)
      • 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).
      • June 2024
      • Teaching Note

      Dirk Nowitzki: Changing the Game

      By: Boris Groysberg, Katherine Connolly Baden and Robin Abrahams
      Teaching Note for HBS Case No. 420-031. NBA Superstar Dirk Nowitzki was unsure whether the 2018-19 season would be his last as an NBA player. He had not faced such uncertainty since 1998, when he had navigated a difficult decision regarding the timing of his move to... View Details
      Keywords: Problems and Challenges; Practice; Retirement; Work-Life Balance; Success; Knowledge Acquisition; Knowledge Sharing; Knowledge Use and Leverage; Growth and Development; Philanthropy and Charitable Giving; Performance; Sports Industry; United States
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      Groysberg, Boris, Katherine Connolly Baden, and Robin Abrahams. "Dirk Nowitzki: Changing the Game." Harvard Business School Teaching Note 424-100, June 2024.
      • May 2024
      • Background Note

      Net Revenue Retention: Unpacking the Dynamics of Customer Monetization

      By: Elie Ofek, Barak Libai and Eitan Muller
      Firms and investors alike are beginning to recognize the importance of tracking how revenues from existing customers are evolving over time and to appreciate the value in understanding what might explain changes in these revenues. Consequently, in addition to looking... View Details
      Keywords: Customer Relationship Management; Revenue; Measurement and Metrics; Customer Value and Value Chain
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      Ofek, Elie, Barak Libai, and Eitan Muller. "Net Revenue Retention: Unpacking the Dynamics of Customer Monetization." Harvard Business School Background Note 524-092, May 2024.
      • May 20, 2024
      • Article

      Porter’s Five Forces and Competitive Advantage in Web3

      By: Scott Duke Kominers and Liang Wu
      Competitive strategy — the art of crafting and executing plans to achieve an advantageous position in the market — is integral to any business, and especially relevant for platforms because it determines their ability to achieve network effects and scale. But web3... View Details
      Keywords: Five Forces Framework; Competitive Strategy; Business Strategy; Network Effects; Digital Transformation
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      Kominers, Scott Duke, and Liang Wu. "Porter’s Five Forces and Competitive Advantage in Web3." a16zcrypto.com (May 20, 2024).
      • May 2024
      • Case

      LinkedIn Corporation, 2024

      By: David B. Yoffie, George Gonzalez and Emily Grandjean
      By 2024, the LinkedIn profile was well established as the professional identity of record on the Internet. Following a multi-year effort to expand the platform’s user base, as well as a period of rapid growth during the COVID-19 pandemic, LinkedIn’s membership had... View Details
      Keywords: Platform; Business Strategy; Competitive Strategy; Goals and Objectives; Social Media; Network Effects; Growth and Development Strategy; Performance Evaluation; Technology Industry; Employment Industry; Sunnyvale
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      Yoffie, David B., George Gonzalez, and Emily Grandjean. "LinkedIn Corporation, 2024." Harvard Business School Case 724-484, May 2024.
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