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- 2024
- Working Paper
Corporate Actions as Moral Issues
By: Zwetelina Iliewa, Elisabeth Kempf and Oliver Spalt
We study how a representative sample of the U.S. population evaluates a broad range of corporate actions from a nonpecuniary perspective. Our core findings, based on large-scale online surveys, are that (i) self-reported nonpecuniary concerns are large, both for stock... View Details
Iliewa, Zwetelina, Elisabeth Kempf, and Oliver Spalt. "Corporate Actions as Moral Issues." Working Paper, December 2024.
- March 2025
- Case
Xfund and Sam Altman: Finding Harvard’s Best Generative AI Founders
By: Suraj Srinivasan
On May 1, 2024, Xfund Managing Partners Patrick Chung and Brandon Farwell, hosted a high-stakes venture pitch session designed to select one startup for a minimum $100,000 investment. This “Xperiment Stake” competition, dedicated to startups in the Generative AI... View Details
- March 2025
- Article
Does Communicating Measurable Diversity Goals Attract or Repel Historically Marginalized Job Applicants? Evidence from the Lab and Field
By: Erika L. Kirgios, Ike Silver and Edward H. Chang
Many organizations struggle to attract a demographically diverse workforce. How does adding a measurable goal to a public diversity commitment—for example, “We care about diversity” versus “We care about diversity and plan to hire at least one woman or racial minority... View Details
Keywords: Selection and Staffing; Recruitment; Diversity; Goals and Objectives; Communication Intention and Meaning; Behavior
Kirgios, Erika L., Ike Silver, and Edward H. Chang. "Does Communicating Measurable Diversity Goals Attract or Repel Historically Marginalized Job Applicants? Evidence from the Lab and Field." Journal of Experimental Psychology: General 154, no. 3 (March 2025): 624–643.
- 2025
- Working Paper
Code-Washing: Evidence from Open-Source Blockchain Startups
By: Ofir Gefen, Daniel Rabetti, Yannan Sun and Che Zhang
This study examines startups' management of source code repositories, distinguishing authentic developers ("code-producers''), from those inflating activity to mislead investors ("code-washers''). Using global blockchain startup and GitHub data, we find that... View Details
Keywords: Entrepreneurial Finance
Gefen, Ofir, Daniel Rabetti, Yannan Sun, and Che Zhang. "Code-Washing: Evidence from Open-Source Blockchain Startups." Working Paper, January 2025.
- February 2025
- Case
Blue Owl Financing of Ping Identity
By: Victoria Ivashina and Srimayi Mylavarapu
In the fall of 2022, Blue Owl Capital's investment committee evaluated a potential investment in the technology sector. The proposed transaction centered on Ping Identity Corporation (“Ping”), a fast-growing identity access management (IAM) software company that was... View Details
Ivashina, Victoria, and Srimayi Mylavarapu. "Blue Owl Financing of Ping Identity." Harvard Business School Case 225-078, February 2025.
- February 2025
- Case
Doing Business in Kigali, Rwanda
By: Andy Zelleke, Martin A. Sinozich, Julianne Bliss and Choetsow Tenzin
Rwanda’s transformation from a post-genocide recovery effort to one of Africa’s fastest-growing economies presents a compelling case for investors and business leaders. With an ambitious Vision 2050 strategy, Kigali has emerged as a regional hub for trade, innovation,... View Details
- 2025
- Working Paper
Using Satellites and Phones to Evaluate and Promote Agricultural Technology Adoption: Evidence from Smallholder Farms in India
By: Shawn Cole, Grady Killeen, Tomoko Harigaya and Aparna Krishna
This paper evaluates a low-cost, customized soil nutrient management advisory service in India. As a methodological contribution, we examine whether and in which settings satellite measurements may be effective at estimating both agricultural yields and treatment... View Details
Keywords: Performance Evaluation; Technology Adoption; Measurement and Metrics; Analytics and Data Science; Agriculture and Agribusiness Industry; India
Cole, Shawn, Grady Killeen, Tomoko Harigaya, and Aparna Krishna. "Using Satellites and Phones to Evaluate and Promote Agricultural Technology Adoption: Evidence from Smallholder Farms in India." Harvard Business School Working Paper, No. 25-035, January 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
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
- Case
Index and Active investing: Vanguard and the New Frontier of Active ETFs
By: Marco Sammon, Luis M. Viceira and Jonathan Kanagasabai
This case explores Vanguard’s strategic decision-making process as it considers entering the growing market for actively managed exchange-traded funds (ETFs). Set in 2024, the case places students in the position of Rodney Comegys, Vanguard’s global head of the Equity... View Details
Sammon, Marco, Luis M. Viceira, and Jonathan Kanagasabai. "Index and Active investing: Vanguard and the New Frontier of Active ETFs." Harvard Business School Case 225-056, January 2025.
- January–February 2025
- Article
The Double-Edged Sword of Exemplar Similarity
By: Majid Majzoubi, Eric Zhao, Tiona Zuzul and Greg Fisher
We investigate how a firm’s positioning relative to category exemplars shapes security analysts’ evaluations. Using a two-stage model of evaluation (initial screening and subsequent assessment), we propose that exemplar similarity enhances a firm’s recognizability and... View Details
Majzoubi, Majid, Eric Zhao, Tiona Zuzul, and Greg Fisher. "The Double-Edged Sword of Exemplar Similarity." Organization Science 36, no. 1 (January–February 2025): 121–144.
- December 2024
- Article
Public Attitudes on Performance for Algorithmic and Human Decision-Makers
By: Kirk Bansak and Elisabeth Paulson
This study explores public preferences for algorithmic and human decision-makers (DMs) in high-stakes contexts, how these preferences are shaped by performance metrics, and whether public evaluations of performance differ depending on the type of DM. Leveraging a... View Details
Bansak, Kirk, and Elisabeth Paulson. "Public Attitudes on Performance for Algorithmic and Human Decision-Makers." PNAS Nexus 3, no. 12 (December 2024).
- November 2024
- Case
Polish Agro: Where Do We Grow from Here?
By: Willy C. Shih, Lena Duchene and Daniela Beyersdorfer
By July 2024, Polish Agro had grown into one of Poland’s fastest-growing agribusinesses, with €230 million in revenue, 82 employees, and operations across Northern Poland. The company supported farmers with essential agricultural inputs like fertilizers and seeds,... View Details
Keywords: Plant-Based Agribusiness; Distribution; Volatility; Customer Focus and Relationships; Customer Value and Value Chain; Climate Change; Environmental Regulation; Profit; Trade; Digital Strategy; Innovation Strategy; Crisis Management; Growth and Development Strategy; Resource Allocation; Advertising; Brands and Branding; E-commerce; Business and Community Relations; Networks; Adaptation; Adoption; Competitive Advantage; Business Model; Health Pandemics; War; Agriculture and Agribusiness Industry; Europe; Poland
- 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
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; Decision Making; Automation; Benefits; Compensation; Cost Reduction; Digital Transformation; Employment; Government; Fraud; Government Technology; Public Sector; Systems; Systems Integration; Unemployment Insurance; Waste Heat Recovery; AI and Machine Learning; Government Administration; Information Technology; Insurance; United States
- November–December 2024
- Article
High-Status Teammates: Award Evaluation in the National Basketball Association
By: Dominika Kinga Randle and Letian Zhang
Social evaluations proceed in stages. First, judges filter a broad pool of candidates and pick a subset for detailed assessment. Then, the chosen group undergoes a closer examination, during which winners are selected. At both stages of the process, judges are... View Details
Keywords: Performance Evaluation; Prejudice and Bias; Groups and Teams; Status and Position; Sports Industry
Randle, Dominika Kinga, and Letian Zhang. "High-Status Teammates: Award Evaluation in the National Basketball Association." Organization Science 35, no. 6 (November–December 2024): 2294–2308.
- 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.
- October 2024
- Supplement
Hakluyt: from Corporate Intelligence to Trusted Advisors (B)
By: Joseph B. Fuller and Lena Duchene
This case is a continuation of an earlier study chronicling Hakluyt & Company (Hakluyt)’s transformation from an obscure boutique to a global corporate advisory firm with an outsized reputation. In August 2024, the firm faced a pivotal moment as managing partner Varun... View Details
Keywords: Business Growth and Maturation; Business Model; Talent and Talent Management; Capital Structure; Cash Flow; Corporate Finance; Equity; Stock Shares; Corporate Governance; Business History; Compensation and Benefits; Recruitment; Leadership Style; Growth Management; Management Succession; Management Teams; Organizational Culture; Performance Evaluation; Networks; Partners and Partnerships; Business Strategy; Competitive Advantage; Consulting Industry; Europe; United Kingdom; England; London
Fuller, Joseph B., and Lena Duchene. "Hakluyt: from Corporate Intelligence to Trusted Advisors (B)." Harvard Business School Supplement 825-087, October 2024.
- October 2024
- Article
How to Use Sales Assessments
Judging a person’s fit for a sales job is complex, and research shows that managers greatly overrate their ability to predict someone’s performance on the basis of interviews. Hence, using assessments is a growing trend in sales hiring and training. This article... View Details
Cespedes, Frank V. "How to Use Sales Assessments." Top Sales Magazine (October 2024), 10–11.
- 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.