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      • November–December 2024
      • Article

      How Robust Is Your Climate Governance?

      By: Lynn S. Paine and Suraj Srinivasan
      During the past few years, as evidence of climate change and its effects has mounted, many corporate boards have added climate governance to their agendas. But the maturity of boards’ climate-oversight processes and activities varies widely.
      To better... View Details
      Keywords: Corporate Governance; Climate Change; Corporate Social Responsibility and Impact; Governing and Advisory Boards
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      Paine, Lynn S., and Suraj Srinivasan. "How Robust Is Your Climate Governance?" Harvard Business Review 102, no. 6 (November–December 2024): 86–95.
      • 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 January 2025)
      • Case

      MiDAS: Automating Unemployment Benefits

      By: Shikhar Ghosh and Shweta Bagai
      In 2015, the state of Michigan considered whether to nominate its Michigan Integrated Data Automated System (MiDAS) for a prestigious state technology award. Launched in 2013 amid severe budget pressures, the $47 million automated fraud detection system was designed to... View Details
      Keywords: Artificial Intelligence; AI; Machine Learning Models; Algorithmic Data; Automation; Benefits; Compensation; Cost Reduction; Government; Fraud; Government Technology; Public Sector; Systems; Systems Integration; Unemployment Insurance; Waste Heat Recovery; AI and Machine Learning; Government Administration; Insurance; Decision Making; Digital Transformation; Employment; Public Administration Industry; United States; Michigan
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      Ghosh, Shikhar, and Shweta Bagai. "MiDAS: Automating Unemployment Benefits." Harvard Business School Case 825-100, November 2024. (Revised January 2025.)
      • 2024
      • Working Paper

      Categorical Processing in a Complex World

      By: Marco Sammon, Thomas Graeber and Christopher Roth
      In real-world news environments, quantitative information is rarely presented in isolation; it is characterized through qualitative comparisons with various reference levels. Company earnings, for example, are commonly compared to analyst forecasts, previous earnings,... View Details
      Keywords: Announcements; Cognition and Thinking; Communication Strategy
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      Sammon, Marco, Thomas Graeber, and Christopher Roth. "Categorical Processing in a Complex World." Working Paper, November 2024.
      • November 2024
      • Article

      Preference Externality Estimators: A Comparison of Border Approaches and IVs

      By: Xi Ling, Wesley R. Hartmann and Tomomichi Amano
      This paper compares two estimators—the Border Approach and an Instrumental Variable (IV) estimator—using a unified framework where identifying variation arises from “preference externalities,” following the intuition in Waldfogel (2003). We highlight two dimensions in... View Details
      Keywords: Econometrics; Casual Inference; Marketing; Economics; Advertising; Mathematical Methods
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      Ling, Xi, Wesley R. Hartmann, and Tomomichi Amano. "Preference Externality Estimators: A Comparison of Border Approaches and IVs." Management Science 70, no. 11 (November 2024): 7892–7910.
      • November–December 2024
      • Article

      Retire Without Regrets

      By: Teresa M. Amabile, Lotte Bailyn, Marcy Crary, Douglas T. "Tim" Hall and Kathy E. Kram
      This article explores the significant transition of retirement and offers insights into creating a satisfying postcareer life. It highlights the contrasting experiences of Irene and Lawrence, two retirees who navigated this change differently. Irene embraced retirement... View Details
      Keywords: Retirement; Satisfaction; Transition; Identity
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      Amabile, Teresa M., Lotte Bailyn, Marcy Crary, Douglas T. "Tim" Hall, and Kathy E. Kram. "Retire Without Regrets." Harvard Business Review 102, no. 6 (November–December 2024): 143–147.
      • November 5, 2024
      • Article

      The International Empirics of Management

      By: Daniela Scur, Scott Ohlmacher, John Van Reenen, Morten Bennedsen, Nick Bloom, Ali Choudhary, Lucia Foster, Jesse Groenewegen, Arti Grover, Sjoerd Hardeman, Leonardo Iacovone, Ryo Kambayashi, Marie-Christine Laible, Renata Lemos, Hongbin Li, Andrea Linarello, Mika Maliranta, Denis Medvedev, Charlotte Meng, John Miles Touya, Natalia Mandirola, Roope Ohlsbom, Atsushi Ohyama, Megha Patnaik, Mariana Pereira-López, Raffaella Sadun, Tatsuro Senga, Franklin Qian and Florian Zimmermann
      A country’s national income broadly depends on the quantity and quality of workers and capital. But how well these factors are managed within and between firms may be a key determinant of a country’s productivity and its GDP. Although social scientists have long... View Details
      Keywords: Performance Productivity; Economy; Management Practices and Processes
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      Scur, Daniela, Scott Ohlmacher, John Van Reenen, Morten Bennedsen, Nick Bloom, Ali Choudhary, Lucia Foster, Jesse Groenewegen, Arti Grover, Sjoerd Hardeman, Leonardo Iacovone, Ryo Kambayashi, Marie-Christine Laible, Renata Lemos, Hongbin Li, Andrea Linarello, Mika Maliranta, Denis Medvedev, Charlotte Meng, John Miles Touya, Natalia Mandirola, Roope Ohlsbom, Atsushi Ohyama, Megha Patnaik, Mariana Pereira-López, Raffaella Sadun, Tatsuro Senga, Franklin Qian, and Florian Zimmermann. "The International Empirics of Management." Proceedings of the National Academy of Sciences 121, no. 45 (November 5, 2024).
      • October 2024 (Revised February 2025)
      • Case

      AI and Brand Management: Promises and Perils

      By: Julian De Freitas and Elie Ofek
      As AI gains traction across industries, companies anticipate that AI will revolutionize both backend processes and customer-facing interactions—with brands eager to leverage AI for tailored marketing materials and automated consumer engagements. Yet, despite a dramatic... View Details
      Keywords: AI and Machine Learning; Brands and Branding; Reputation; Technology Adoption; Competitive Advantage
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      De Freitas, Julian, and Elie Ofek. "AI and Brand Management: Promises and Perils." Harvard Business School Case 525-021, October 2024. (Revised February 2025.)
      • September–October 2024
      • Article

      The Crowdless Future? Generative AI and Creative Problem-Solving

      By: Léonard Boussioux, Jacqueline N. Lane, Miaomiao Zhang, Vladimir Jacimovic and Karim R. Lakhani
      The rapid advances in generative artificial intelligence (AI) open up attractive opportunities for creative problem-solving through human-guided AI partnerships. To explore this potential, we initiated a crowdsourcing challenge focused on sustainable, circular economy... View Details
      Keywords: Large Language Models; Generative Ai; Crowdsourcing; AI and Machine Learning; Creativity; Technological Innovation
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      Boussioux, Léonard, Jacqueline N. Lane, Miaomiao Zhang, Vladimir Jacimovic, and Karim R. Lakhani. "The Crowdless Future? Generative AI and Creative Problem-Solving." Organization Science 35, no. 5 (September–October 2024): 1589–1607.
      • September–October 2024
      • Article

      Why Multibusiness Strategies Fail and How to Make Them Succeed

      By: Bharat Anand and David J. Collis
      Enterprises that own multiple businesses often have a flawed approach to strategy: They focus too much on the makeup of their portfolios and too little on enhancing the businesses in them.
      Strategies for adding value to a corporation’s businesses fall on a... View Details
      Keywords: Value Creation; Corporate Strategy; Organizational Structure; Management Systems
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      Anand, Bharat, and David J. Collis. "Why Multibusiness Strategies Fail and How to Make Them Succeed." Harvard Business Review 102, no. 5 (September–October 2024): 138–149.
      • September 2024
      • Case

      Xendit: Hiring for Growth

      By: Jeffrey F. Rayport, Steve Castano, Quoc Anh Nguyen and Claire Wu
      In 2019, Xendit, a growth-stage Southeast Asia (SEA) fintech venture based in Jakarta, was looking to hire a Head of Sales and Head of Product to lead its next phase of growth. Founded by Moses Lo and Tessa Wijaya, Xendit provided payment infrastructure, modeling... View Details
      Keywords: Fintech; Financing and Loans; Entrepreneurship; Jobs and Positions; Sales; Product; Growth and Development; Selection and Staffing; Organizational Culture; Expansion; Financial Services Industry; Technology Industry; Southeast Asia; Indonesia; Philippines
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      Rayport, Jeffrey F., Steve Castano, Quoc Anh Nguyen, and Claire Wu. "Xendit: Hiring for Growth." Harvard Business School Case 825-046, 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

      Navigating Digital Transformation at Carrefour

      By: Sunil Gupta and Emilie Billaud
      In 2023, Elodie Perthuisot, Carrefour’s Executive Director for e-commerce and digital transformation, met with CEO Alexandre Bompard to discuss strategies for the company’s digital initiatives. Carrefour, a global retail giant with over 14,300 stores across 40... View Details
      Keywords: Change Management; Transformation; Talent and Talent Management; Decisions; Digital Strategy; Technology Adoption; Leading Change; Goals and Objectives; Resource Allocation; Digital Marketing; E-commerce; Operations; Logistics; Business Processes; Organizational Culture; Strategic Planning; Alliances; Partners and Partnerships; Competitive Advantage; Retail Industry; Food and Beverage Industry; Europe
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      Gupta, Sunil, and Emilie Billaud. "Navigating Digital Transformation at Carrefour." Harvard Business School Case 525-024, September 2024.
      • September 2024
      • Article

      Backstage Matters: Collective Energy and Information Sharing on Global Teams

      By: Wenjie Ma, Leslie A. Perlow and Eunice Eun
      It is well documented that information sharing – which is central to team effectiveness – is complicated by cultural and geographical factors. However, little is known about the process of information sharing between subgroups within global teams. Building on Goffman’s... View Details
      Keywords: Knowledge Sharing; Groups and Teams; Geographic Scope
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      Ma, Wenjie, Leslie A. Perlow, and Eunice Eun. "Backstage Matters: Collective Energy and Information Sharing on Global Teams." Academy of Management Discoveries 10, no. 3 (September 2024): 463–487.
      • September 2024
      • Article

      Political Elite Cues and Attitude Formation in Post-Conflict Contexts

      By: Natalia Garbiras-Díaz, Miguel Garcia-Sanchez and Aila M. Matanock
      Civil conflicts typically end with negotiated settlements, but many settlements fail, often during the implementation stage when average citizens have increasing influence. Citizens sometimes evaluate peace agreements by voting on referendums or the negotiating... View Details
      Keywords: Civil Unrest; Peace Process; Political Leadership; Peace; Politics; Policy Change; Policy; Government and Politics; Government Administration; Governance; Political Elections; Civil Society or Community; Negotiation; Negotiation Participants; Public Relations Industry; Colombia; Latin America; South America
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      Garbiras-Díaz, Natalia, Miguel Garcia-Sanchez, and Aila M. Matanock. "Political Elite Cues and Attitude Formation in Post-Conflict Contexts." Journal of Peace Research 61, no. 5 (September 2024): 874–890.
      • August 2024
      • Case

      Iogen: Decarbonizing Hard-to-Abate Sectors

      By: George Serafeim, Charlotte Foody and John Mulliken
      Brian Foody, CEO of Iogen Corporation, was an early leader in advanced biofuels, developing a range of technologies to transform agricultural waste into transportation fuel. With $100 million in revenue and 350 patents across various biofuel technologies, Iogen was... View Details
      Keywords: Technology; Biofuel; Market Attractiveness; Decarbonization; Technological Innovation; Climate Change; Energy; Environmental Sustainability; Transformation; Market Entry and Exit; Strategy; Energy Industry; United States; United Kingdom
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      Serafeim, George, Charlotte Foody, and John Mulliken. "Iogen: Decarbonizing Hard-to-Abate Sectors." Harvard Business School Case 125-037, August 2024.
      • August 2024
      • Background Note

      Brief Note on the U.S. Presidential Electoral Process (2024)

      By: Robert F. White
      A note describing the history and mechanics of the United States' presidential election system, the electoral college. View Details
      Keywords: Political Elections; Public Administration Industry; United States
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      White, Robert F. "Brief Note on the U.S. Presidential Electoral Process (2024)." Harvard Business School Background Note 825-049, August 2024.
      • August 2024 (Revised October 2024)
      • Background Note

      Brief Note on U.S. Political Parties and the Presidential Nominating Process (2024)

      By: Robert F. White
      This note gives a brief overview of the major U.S. political parties and how they nominate presidential candidates. View Details
      Keywords: Government and Politics; Public Administration Industry; United States
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      White, Robert F. "Brief Note on U.S. Political Parties and the Presidential Nominating Process (2024)." Harvard Business School Background Note 825-050, August 2024. (Revised October 2024.)
      • 2024
      • Working Paper

      “If You’re Not There… You’re Not There”: How Art Market Platforms Induce Status Anxiety to Coerce Participation

      By: James Riley and Ezra Zuckerman Sivan
      This paper, an 18-month ethnographic investigation of international art fairs (IAFs), shows how market platforms can have a coercive effect, inducing sellers (i.e., art galleries) to participate despite ambivalence over their value and anxiety over the process by which... View Details
      Keywords: Market Participation; Status and Position; Competition; Demand and Consumers; Fine Arts Industry
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      Riley, James, and Ezra Zuckerman Sivan. "“If You’re Not There… You’re Not There”: How Art Market Platforms Induce Status Anxiety to Coerce Participation." Working Paper, 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).
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