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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
To better... View Details
Keywords: Corporate Governance; Climate Change; Corporate Social Responsibility and Impact; Governing and Advisory Boards
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
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
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
- 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
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
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
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
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
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
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
Strategies for adding value to a corporation’s businesses fall on a... View Details
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
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
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
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
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
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
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
- 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
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
- 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
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).