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- 2025
- Working Paper
Incentive-Compatible Recovery from Manipulated Signals, with Applications to Decentralized Physical Infrastructure
By: Jason Milionis, Jens Ernstberger, Joseph Bonneau, Scott Duke Kominers and Tim Roughgarden
We introduce the first formal model capturing the elicitation of unverifiable information from a party (the "source") with implicit signals derived by other players (the "observers"). Our model is motivated in part by applications in decentralized physical... View Details
Milionis, Jason, Jens Ernstberger, Joseph Bonneau, Scott Duke Kominers, and Tim Roughgarden. "Incentive-Compatible Recovery from Manipulated Signals, with Applications to Decentralized Physical Infrastructure." Working Paper, March 2025.
- 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
Discrimination, Rejection, and Job Search
By: Anne Boring, Katherine Coffman, Dylan Glover and María José González-Fuentes
We investigate how candidates’ willingness to apply responds to (potential) discrimination and rejection using a simulated labor market. Past work has shown that “blinding” job applications reduces discrimination and increases the rate at which women are hired. Our... View Details
Boring, Anne, Katherine Coffman, Dylan Glover, and María José González-Fuentes. "Discrimination, Rejection, and Job Search." Working Paper, February 2025.
- 2025
- Working Paper
Blockchain Adoption and Audit Quality
By: Mei Luo, Daniel Rabetti and Shuangchen Yu
This study examines the impact of blockchain adoption in the corporate setting. Specifically, we provide comprehensive empirical support to recent theory (Cao, Cong, and Young, 2024) proposing that blockchain adoption positively affects endogenous audit quality and... View Details
Luo, Mei, Daniel Rabetti, and Shuangchen Yu. "Blockchain Adoption and Audit Quality." Working Paper, February 2025.
- February 2025
- Article
Disclosure, Humanizing, and Contextual Vulnerability of Generative AI Chatbots
By: Julian De Freitas and I. Glenn Cohen
In the wake of recent advancements in generative AI, regulatory bodies are trying to keep pace. One key decision is whether to require app makers to disclose the use of generative AI-powered chatbots in their products. We suggest that some generative AI-based chatbots... View Details
Keywords: AI and Machine Learning; Governing Rules, Regulations, and Reforms; Applications and Software; Well-being
De Freitas, Julian, and I. Glenn Cohen. "Disclosure, Humanizing, and Contextual Vulnerability of Generative AI Chatbots." New England Journal of Medicine AI 2, no. 2 (February 2025).
- January 24, 2025
- Article
Behaviorally Designed Training Leads to More Diverse Hiring
By: Cansin Arslan, Edward H. Chang, Siri Chilazi, Iris Bohnet and Oliver P. Hauser
Many organizations have shown interest in increasing the diversity of their workforces for various reasons. Collectively, they have spent millions of dollars and countless employee hours on diversity training. Yet, there is little empirical evidence that such training... View Details
Keywords: Training; Diversity; Selection and Staffing; Behavior; Outcome or Result; Organizational Change and Adaptation
Arslan, Cansin, Edward H. Chang, Siri Chilazi, Iris Bohnet, and Oliver P. Hauser. "Behaviorally Designed Training Leads to More Diverse Hiring." Science 387, no. 6732 (January 24, 2025): 364–366.
- January 2025
- Technical Note
AI vs Human: Analyzing Acceptable Error Rates Using the Confusion Matrix
By: Tsedal Neeley and Tim Englehart
This technical note introduces the confusion matrix as a foundational tool in artificial intelligence (AI) and large language models (LLMs) for assessing the performance of classification models, focusing on their reliability for decision-making. A confusion matrix... View Details
- 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
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
Why Most Resist AI Companions
By: Julian De Freitas, Zeliha Oğuz-Uğuralp, Ahmet Kaan Uğuralp and Stefano Puntoni
Chatbots are now able to form emotional relationships with people and alleviate loneliness—a growing public health concern. Behavioral research provides little insight into whether everyday people are likely to use these applications and why. We address this question... View Details
Keywords: Generative Ai; Chatbots; Artificial Intelligence; Algorithmic Aversion; Lonelines; Technology Adoption; AI and Machine Learning; Well-being; Emotions
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 January 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
Shaffer, Matthew, and Charles CY Wang. "Scaling Core Earnings Measurement with Large Language Models." Working Paper, November 2024.
- November 2024 (Revised January 2025)
- Case
Balancing Impact: Modeling the Future at British International Investment
By: Shawn Cole and Jonah Zahnd
In 2022, British International Investment (BII), the £8.1 billion development finance arm of the British government, implemented a new impact measurement system called the Impact Score to align its financial and impact objectives systematically. The tool was designed... View Details
Cole, Shawn, and Jonah Zahnd. "Balancing Impact: Modeling the Future at British International Investment." Harvard Business School Case 225-047, November 2024. (Revised January 2025.)
- November 2024
- Supplement
Epic Games: Nineteen Eighty-Fortnite (B)
By: Andy Wu and Ronald Wang
In a significant ruling on April 24, 2023, the U.S. Court of Appeals for the Ninth Circuit upheld portions of the district court’s decision against Epic Games back in September 2021. However, Apple’s anti-steering provisions, which restricted app developers from... View Details
- October 2024
- Teaching Plan
Teamworks: Tackling a Forecasting Fumble
By: Lou Shipley and Stacy Straaberg
In late March 2018, Teamworks CEO Zach Maurides learned Q1 2018 sales were at risk for a large forecasting miss. Founded in 2004, Teamworks’s software application assisted support staff in messaging, scheduling, and sharing documents with collegiate and professional... View Details
Keywords: Acquisition; Business Growth and Maturation; Communication Strategy; Decisions; Forecasting and Prediction; Business Cycles; Technological Innovation; Sports; Growth and Development Strategy; Resource Allocation; Marketing; Sales; Business Strategy; Expansion; Sports Industry; Technology Industry; United States; North Carolina
- 2024
- Working Paper
Case Studies of the Emulation of Chinese Entrepreneurial Business Models
By: Josh Lerner, Junxi Liu, Jacob Moscona and David Yang
This working paper presents four short case studies of emerging market businesses whose founders emulated Chinese firms. These examples are part of a more systematic pattern, documented extensively in Lerner et al. (2024), in which businesses developed in China were... View Details
Lerner, Josh, Junxi Liu, Jacob Moscona, and David Yang. "Case Studies of the Emulation of Chinese Entrepreneurial Business Models." Harvard Business School Working Paper, No. 25-017, September 2024.
- October 2024 (Revised October 2024)
- 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
De Freitas, Julian, and Elie Ofek. "AI and Brand Management: Promises and Perils." Harvard Business School Case 525-021, October 2024. (Revised October 2024.)
- September 2024
- Case
Eat App: Building and Monetizing an End-to-End Dining Experience Solution
By: Elie Ofek and Ahmed Dahawy
Founded in 2015 in Bahrain, Eat App was an up-and-coming player in the global restaurant management software business. In early 2024, having shifted to a product-led growth strategy, the company’s co-founders faced a host of decisions that could greatly impact their... View Details
Keywords: Price; Growth and Development Strategy; Product Marketing; Negotiation Deal; Internet and the Web; Value Creation; Profit; Revenue; Applications and Software; Product; Food and Beverage Industry; Technology Industry; Bahrain; United Arab Emirates; Abu Dhabi; Dubai
Ofek, Elie, and Ahmed Dahawy. "Eat App: Building and Monetizing an End-to-End Dining Experience Solution." Harvard Business School Case 525-019, 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 (Revised January 2025)
- Exercise
Building an AI First Snack Company: A Hands-on Generative AI Exercise
By: Iavor I. Bojinov
Although the term 'Generative AI' (GenAI) is widely recognized, its practical application in daily workflows has yet to be understood. This exercise introduces students to GenAI tools, demonstrating how they can be seamlessly integrated into professional work practices... View Details
Keywords: AI and Machine Learning; Technology Adoption; Marketing Strategy; Product Launch; Brands and Branding
Bojinov, Iavor I. "Building an AI First Snack Company: A Hands-on Generative AI Exercise." Harvard Business School Exercise 625-052, September 2024. (Revised January 2025.)
- September 2024
- Case
Nvidia, Inc. in 2024 and the Future of AI
By: David B. Yoffie and Sarah von Bargen
Nvidia was one of the most successful companies in the world, reaching $3.4 trillion in valuation on June 18th, 2024. While Microsoft and Apple quickly recaptured the value crown, some analysts forecasted that Nvidia was so strongly positioned that it might become the... View Details
Keywords: Customer Value and Value Chain; Price; Technological Innovation; Competition; Vertical Integration; Valuation; Technology Industry
Yoffie, David B., and Sarah von Bargen. "Nvidia, Inc. in 2024 and the Future of AI." Harvard Business School Case 725-360, September 2024.
- 2024
- Book
Fintech, Small Business & the American Dream: How Technology Is Transforming Lending and Shaping a New Era of Small Business Opportunity
By: Karen G. Mills
The second edition of Fintech, Small Business & the American Dream, builds on the groundbreaking 2019 book with new insights on how technology and artificial intelligence are transforming small business lending. This ambitious view covers the significance of... View Details
Keywords: Fintech; AI; AI and Machine Learning; Small Business; Economy; Technology Adoption; Credit; Financing and Loans; Analytics and Data Science
Mills, Karen G. Fintech, Small Business & the American Dream: How Technology Is Transforming Lending and Shaping a New Era of Small Business Opportunity. 2nd Edition, NY: Palgrave Macmillan, 2024.