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- Working Paper
Shifting Work Patterns with Generative AI
By: Eleanor W. Dillon, Sonia Jaffe, Nicole Immorlica and Christopher Stanton
We present evidence on how generative AI changes the work patterns of knowledge workers using
data from a 6-month-long, cross-industry, randomized field experiment. Half of the 7,137 workers
in the study received access to a generative AI tool integrated into the... View Details
Dillon, Eleanor W., Sonia Jaffe, Nicole Immorlica, and Christopher Stanton. "Shifting Work Patterns with Generative AI." NBER Working Paper Series, No. 33795, May 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
Cook, Jacob M. "EPCorp: Convincing the C-Suite." Harvard Business Publishing Case, 2024.
- 2025
- Chapter
Institutional Entrepreneurship and Climate Change
By: Ann-Kristin Bergquist and Geoffrey Jones
This chapter explores when and why private regulatory governance systems became the primary form of global environmental governance. The chapter explores two different historical paths in such private regulation and how they came about. The first path involved... View Details
Keywords: Institutional Entrepreneurship; Environment; Climate Change; Governing Rules, Regulations, and Reforms; Environmental Regulation; Standards; Corporate Social Responsibility and Impact
Bergquist, Ann-Kristin, and Geoffrey Jones. "Institutional Entrepreneurship and Climate Change." Chap. 1 in Climate Change and Business: Historical Perspectives, edited by Teresa da Silva Lopes, Paul Duguid, and Robert Fredona, 8–29. London, United Kingdom: Routledge, 2025.
- April 2025 (Revised April 2025)
- Case
Adobe: GenAI Opportunity or Threat?
By: Sunil Gupta, Rajiv Lal and Allison Ciechanover
In December 2022, Adobe CEO Shantanu Narayen faced a pivotal strategic decision due to the rapid rise of generative AI image models from OpenAI, Midjourney, and StabilityAI. Adobe, a leader in digital media and marketing software with a 40-year legacy of innovation and... View Details
- 2025
- Working Paper
Generative AI Use by Capital Market Information Intermediaries: Evidence from Seeking Alpha
By: Mark Bradshaw, Chenyang Ma, Benjamin Yost and Yuan Zou
We study the use of generative AI for firm-specific financial analysis on the Seeking Alpha platform. We find that, after the initial launch of ChatGPT in November 2022, the share of AI-generated articles rose sharply to 13.4% of all articles, then declined in late... View Details
Keywords: Generative Ai; Seeking Alpha; Equity Research; Large Language Models; Gpt; AI and Machine Learning; Information Publishing; Financial Markets
Bradshaw, Mark, Chenyang Ma, Benjamin Yost, and Yuan Zou. "Generative AI Use by Capital Market Information Intermediaries: Evidence from Seeking Alpha." Harvard Business School Working Paper, No. 25-055, April 2025.
- April 2025
- Background Note
Customer Acquisition and the Cash Flow Trap
By: E. Ofek, Barak Libai and Eitan Muller
Startups as well as existing firms recognize the need to invest in order to acquire customers for their new ventures. And as each customer is expected at some point to have generated sufficient gross margins to cover their CAC, management expects that, soon enough, the... View Details
- April 2025
- Case
Techint: Strategic Choices for Community Impact
By: Lauren Cohen, Virak Prum, Kenneth Charman, Pedro Levindo and Mariana Cal
In early 2024 Erika Bienek, Chief Community Relations Officer at Techint, had to decide whether to invest in a new company-owned and operated technical school in Veracruz, Mexico, or invest instead in strengthening the city’s public education system. Techint, a global... View Details
Keywords: Technical Institutes; Community Relations; Social Impact; Argentina; Mexico; Brazil; Conglomerate; Stakeholder Management; Government And Business; Community Impact; Philanthropy; Business Conglomerates; Business Subsidiaries; Business Headquarters; Family Business; Decision Making; Private Sector; Public Sector; Education; Curriculum and Courses; Middle School Education; Secondary Education; Teaching; Training; Learning; Energy; Engineering; Construction; Values and Beliefs; Geography; Global Range; Local Range; Cross-Cultural and Cross-Border Issues; Globalized Firms and Management; Government Legislation; Recruitment; Innovation and Invention; Disruptive Innovation; Knowledge; Resource Allocation; Industry Clusters; Infrastructure; Family Ownership; Philanthropy and Charitable Giving; Business and Community Relations; Business and Stakeholder Relations; Business and Government Relations; Creativity; Reputation; Social and Collaborative Networks; Civil Society or Community; Social Issues; Poverty; Strategy; Construction Industry; Education Industry; Energy Industry; Industrial Products Industry; Manufacturing Industry; Steel Industry; Europe; Italy; Latin America; North and Central America; Mexico; North America; United States; South America; Argentina; Buenos Aires; Brazil
- 2025
- Working Paper
Balancing Engagement and Polarization: Multi-Objective Alignment of News Content Using LLMs
By: Mengjie Cheng, Elie Ofek and Hema Yoganarasimhan
We study how media firms can use LLMs to generate news content that aligns with multiple objectives—making content more engaging while maintaining a preferred level of polarization/slant consistent with the firm’s editorial policy. Using news articles from The New York... View Details
Keywords: Large Language Models; Content Creation; Media; Polarization; Generative Ai; Direct Preference Optimization; AI and Machine Learning; News; Perspective; Digital Marketing; Policy; Media and Broadcasting Industry
Cheng, Mengjie, Elie Ofek, and Hema Yoganarasimhan. "Balancing Engagement and Polarization: Multi-Objective Alignment of News Content Using LLMs." Harvard Business School Working Paper, No. 25-051, April 2025.
- April 2025
- Supplement
Pouring Oil on Troubled Waters: Vickers Oils and Resolving Family Conflict over Generations
By: Lauren Cohen, Octavian Graf Pilati and Sophia Pan
- April 2025
- Case
Pouring Oil on Troubled Waters: Vickers Oils and Resolving Family Conflict over Generations
By: Lauren Cohen, Octavian Graf Pilati and Sophia Pan
Will Vickers, a seventh-generation (G7) member of the Vickers Family, grappled with a pressing challenge: how to re-integrate family members into the firm to recover lost talent. His father, Peter Vickers, was the lone leader of the Vickers Oils – despite having... View Details
Keywords: Leadership; Family; Relationships; Shareholder; Conflict; Involvement; Family Office; Family Firms; Diversification; Family Business; Business Growth and Maturation; Experience and Expertise; Retention; Leadership Development; Business or Company Management; Management Succession; Organizational Structure; Family Ownership; Family and Family Relationships; Consumer Products Industry; United Kingdom
- April 2025
- Article
Crisis Interventions in Corporate Insolvency
By: Samuel Antill and Christopher Clayton
We model the optimal resolution of insolvent firms in general equilibrium. Collateral-constrained banks lend to (i) solvent firms to finance investments and (ii) distressed firms to avoid liquidation. Liquidations create negative fire-sale externalities. Liquidations... View Details
Keywords: Insolvent Firms; Government Intervention; Liquidation; Econometric Models; Insolvency and Bankruptcy; Policy
Antill, Samuel, and Christopher Clayton. "Crisis Interventions in Corporate Insolvency." Journal of Finance 80, no. 2 (April 2025): 875–910.
- 2025
- Working Paper
Extractive Taxation and the French Revolution
By: Tommaso Giommoni, Gabriel Loumeau and Marco Tabellini
We study the fiscal determinants of the French Revolution, exploiting plausibly exogenous variation in the salt tax—a large source of royal revenues and one of the most extractive forms of taxation of the Ancien Régime. Implementing a Regression Discontinuity... View Details
Keywords: Extractive Taxation; Regime Change; French Revolution; State Capacity; Taxation; History; Government Administration; Attitudes; Public Opinion
Giommoni, Tommaso, Gabriel Loumeau, and Marco Tabellini. "Extractive Taxation and the French Revolution." Harvard Business School Working Paper, No. 25-047, April 2025. (Featured at VoxEU.)
- March–April 2025
- Article
Getting Value from Digital Technologies
By: Frank Cespedes and Georg Krentzel
Companies need digital technologies in an omni-channel buying world where online and in-person interactions are complements, not either/or substitutes. Multi-channel hybrid sales solutions are required, but what are the key requirements for using the available... View Details
Cespedes, Frank, and Georg Krentzel. "Getting Value from Digital Technologies." European Business Review (March–April 2025): 6–9.
- April 2025
- Article
Serving with a Smile on Airbnb: Analyzing the Economic Returns and Behavioral Underpinnings of the Host’s Smile
By: Shunyuan Zhang, Elizabeth Friedman, Kannan Srinivasan, Ravi Dhar and Xupin Zhang
Non-informational cues, such as facial expressions, can significantly influence judgments and interpersonal impressions. While past research has explored how smiling affects business outcomes in offline or in-store contexts, relatively less is known about how smiling... View Details
Keywords: Sharing Economy; Airbnb; Image Feature Extraction; Machine Learning; Facial Expressions; Prejudice and Bias; Nonverbal Communication; E-commerce; Consumer Behavior; Perception
Zhang, Shunyuan, Elizabeth Friedman, Kannan Srinivasan, Ravi Dhar, and Xupin Zhang. "Serving with a Smile on Airbnb: Analyzing the Economic Returns and Behavioral Underpinnings of the Host’s Smile." Journal of Consumer Research 51, no. 6 (April 2025): 1073–1097.
- 2025
- Working Paper
The Cybernetic Teammate: A Field Experiment on Generative AI Reshaping Teamwork and Expertise
By: Fabrizio Dell'Acqua, Charles Ayoubi, Hila Lifshitz, Raffaella Sadun, Ethan Mollick, Lilach Mollick, Yi Han, Jeff Goldman, Hari Nair, Stew Taub and Karim R. Lakhani
We examine how artificial intelligence transforms the core pillars of collaboration—
performance, expertise sharing, and social engagement—through a pre-registered field
experiment with 776 professionals at Procter & Gamble, a global consumer packaged goods
company.... View Details
Keywords: Artificial Intelligence; Teamwork; Human-machine Interaction; Productivity; Skills; Innovation; Field Experiment; AI and Machine Learning; Groups and Teams; Competency and Skills; Performance Productivity; Collaborative Innovation and Invention; Product Development
Dell'Acqua, Fabrizio, Charles Ayoubi, Hila Lifshitz, Raffaella Sadun, Ethan Mollick, Lilach Mollick, Yi Han, Jeff Goldman, Hari Nair, Stew Taub, and Karim R. Lakhani. "The Cybernetic Teammate: A Field Experiment on Generative AI Reshaping Teamwork and Expertise." Harvard Business School Working Paper, No. 25-043, March 2025.
- 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
- Case
YouTube: Bidding for NFL Sunday Ticket
By: Anita Elberse and Crystal Yao
In December 2022, Erin Teague, a senior director and the global head of sports, movies and shows at YouTube, technology giant Alphabet Inc.’s video- sharing platform, received the news that Sundar Pichai, the chief executive officer of Alphabet and its subsidiary... View Details
Keywords: General Management; Entertainment; Media; Sports; Marketing; Management; Business Strategy; Bids and Bidding; Sports Industry; Entertainment and Recreation Industry
Elberse, Anita, and Crystal Yao. "YouTube: Bidding for NFL Sunday Ticket." Harvard Business School Case 525-045, March 2025.
- March 2025
- Case
Metaphysic AI: Rethinking the Value of Human Expertise
By: Zoë B. Cullen, Shikhar Ghosh and Shweta Bagai
In early 2025, Thomas Graham, CEO of Metaphysic, a leading AI generative video company confronted fundamental questions about who should control digital identity in a world where AI could perfectly recreate human likeness. Founded in 2021, Metaphysic first rose to fame... View Details
Keywords: Business Model; Ethics; AI and Machine Learning; Intellectual Property; Rights; Negotiation; Value; Motion Pictures and Video Industry; Technology Industry
Cullen, Zoë B., Shikhar Ghosh, and Shweta Bagai. "Metaphysic AI: Rethinking the Value of Human Expertise." Harvard Business School Case 825-146, March 2025.
- March 2025 (Revised March 2025)
- Case
Good for the Seller, Good for the Buyer and Good for Society: Sampo-yoshi, Sustainability and Trust at ITOCHU
By: Sandra J. Sucher and Bethelehem Y Araya
In 2024, ITOCHU CEO Masahiro Okafuji was at a crossroads. As the thirteenth CEO since ITOCHU’s founding in 1858, he had fueled the company’s growth since 2011 by bringing ITOCHU’s founding philosophy of Sampo-yoshi (good for the seller, good for the buyer and... View Details
Keywords: Sustainability; Trust; Profit; Growth and Development Strategy; Organizational Change and Adaptation; Mission and Purpose; Corporate Social Responsibility and Impact; Environmental Sustainability; Japan
Sucher, Sandra J., and Bethelehem Y Araya. "Good for the Seller, Good for the Buyer and Good for Society: Sampo-yoshi, Sustainability and Trust at ITOCHU." Harvard Business School Case 325-053, March 2025. (Revised March 2025.)
- 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.