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- 2023
- Working Paper
Toward a Better Understanding of Open Ecosystems: Implications for Policymakers
By: Feng Zhu and Carmelo Cennamo
The digital realm is undergoing a significant transformation, marked by the emergence of platform
business models and the concept of open ecosystems. This paper delves into the intricate nature of
ecosystem openness, underscoring the point that the openness of...
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Zhu, Feng, and Carmelo Cennamo. "Toward a Better Understanding of Open Ecosystems: Implications for Policymakers." Working Paper, November 2023.
- October 2023
- Teaching Note
Timnit Gebru: 'SILENCED No More' on AI Bias and The Harms of Large Language Models
By: Tsedal Neeley and Tim Englehart
Teaching Note for HBS Case No. 422-085. Dr. Timnit Gebru—a leading artificial intelligence (AI) computer scientist and co-lead of Google’s Ethical AI team—was messaging with one of her colleagues when she saw the words: “Did you resign?? Megan sent an email saying that...
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- October 2023
- Case
Fixie and Conversational AI Sidekicks
By: Jeffrey J. Bussgang and Carin-Isabel Knoop
In March 2023, Fixie Co-Founder and Chief Architect Matt Welsh and co-founders had the kind of meeting no founders want to have. The president of leading artificial intelligence (AI) research and deployment firm OpenAI, which had catapulted into fame with its ChatGPT...
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- 2023
- Working Paper
Causal Interpretation of Structural IV Estimands
By: Isaiah Andrews, Nano Barahona, Matthew Gentzkow, Ashesh Rambachan and Jesse M. Shapiro
We study the causal interpretation of instrumental variables (IV) estimands of nonlinear, multivariate structural models with respect to rich forms of model misspecification. We focus on guaranteeing that the researcher's estimator is sharp zero consistent, meaning...
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Keywords:
Mathematical Methods
Andrews, Isaiah, Nano Barahona, Matthew Gentzkow, Ashesh Rambachan, and Jesse M. Shapiro. "Causal Interpretation of Structural IV Estimands." NBER Working Paper Series, No. 31799, October 2023.
- 2023
- Working Paper
Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality
By: Fabrizio Dell'Acqua, Edward McFowland III, Ethan Mollick, Hila Lifshitz-Assaf, Katherine C. Kellogg, Saran Rajendran, Lisa Krayer, François Candelon and Karim R. Lakhani
The public release of Large Language Models (LLMs) has sparked tremendous interest in how humans will use Artificial Intelligence (AI) to accomplish a variety of tasks. In our study conducted with Boston Consulting Group, a global management consulting firm, we examine...
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Keywords:
Large Language Model;
AI and Machine Learning;
Performance Efficiency;
Performance Improvement
Dell'Acqua, Fabrizio, Edward McFowland III, Ethan Mollick, Hila Lifshitz-Assaf, Katherine C. Kellogg, Saran Rajendran, Lisa Krayer, François Candelon, and Karim R. Lakhani. "Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality." Harvard Business School Working Paper, No. 24-013, September 2023.
- 2023
- Working Paper
Large Shocks Travel Fast
By: Alberto Cavallo, Francesco Lippi and Ken Miyahara
We leverage the inflation upswing of 2022 and various granular datasets to identify robust price-setting patterns following a large supply shock. We show that the frequency of price changes increases dramatically after a large shock. We set up a parsimonious New...
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Keywords:
Macroeconomics;
Analytics and Data Science;
Inflation and Deflation;
Cost;
Mathematical Methods
Cavallo, Alberto, Francesco Lippi, and Ken Miyahara. "Large Shocks Travel Fast." NBER Working Paper Series, No. 31659, September 2023.
- 2023
- Article
On the Impact of Actionable Explanations on Social Segregation
By: Ruijiang Gao and Himabindu Lakkaraju
As predictive models seep into several real-world applications, it has become critical to ensure that individuals who are negatively impacted by the outcomes of these models are provided with a means for recourse. To this end, there has been a growing body of research...
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Gao, Ruijiang, and Himabindu Lakkaraju. "On the Impact of Actionable Explanations on Social Segregation." Proceedings of the International Conference on Machine Learning (ICML) 40th (2023): 10727–10743.
- 2023
- Working Paper
The Crowdless Future? How Generative AI Is Shaping the Future of Human Crowdsourcing
The rapid advances in generative AI have the potential to reshape organizational innovation, raising uncertainty about the role of human solvers in this new era of augmented intelligence. We initiated a crowdsourcing challenge focused on sustainable, circular economy...
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Boussioux, Léonard, Jacqueline N. Lane, Miaomiao Zhang, Vladimir Jacimovic, and Karim R. Lakhani. "The Crowdless Future? How Generative AI Is Shaping the Future of Human Crowdsourcing." Harvard Business School Working Paper, No. 24-005, July 2023. (Revised November 2023.)
- August 2023
- Article
Financing the Litigation Arms Race
By: Samuel Antill and Steven R. Grenadier
Using a dynamic real-option model of litigation, we show that the increasingly popular practice of third-party litigation financing has ambiguous implications for total ex-post litigant surplus. A defendant and a plaintiff bargain over a settlement payment. The...
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Keywords:
Litigation Financing;
Dynamic Bargaining;
Real Options;
Lawsuits and Litigation;
Financing and Loans
Antill, Samuel, and Steven R. Grenadier. "Financing the Litigation Arms Race." Journal of Financial Economics 149, no. 2 (August 2023): 218–234.
- August 29, 2023
- Article
The Fragility of Artists’ Reputations from 1795 to 2020
By: Letian Zhang, Mitali Banerjee, Shinan Wang and Zhuoqiao Hong
This study explores the longevity of artistic reputation. We empirically examine whether artists are more- or less-venerated after their death. We construct a massive historical corpus spanning 1795 to 2020 and build separate word-embedding models for each five-year...
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Zhang, Letian, Mitali Banerjee, Shinan Wang, and Zhuoqiao Hong. "The Fragility of Artists’ Reputations from 1795 to 2020." Proceedings of the National Academy of Sciences 120, no. 35 (August 29, 2023).
- July 2023
- Case
Vytal: Packaging-as-a-Service
By: George Serafeim, Michael W. Toffel, Lena Duchene and Daniela Beyersdorfer
The Germany-based startup Vytal operated the largest digital-native reusable packaging-as-a-service network globally, having raised nearly €15 million, established a large network of restaurant partners, and prevented the use of millions of single-use take-out food...
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Keywords:
Climate Change;
Climate Risk;
Digital;
Platform Strategies;
Data;
Packaging;
Sustainability;
Start-up;
Startup;
Entrepreneurship;
Entrepreneur;
Impact;
Circular;
Growth Strategy;
Innovation;
Environmental Sustainability;
Innovation and Invention;
Business Growth and Maturation;
Growth and Development Strategy;
Business Startups;
Resource Allocation;
Risk Management;
Adoption;
Strategy;
Performance Productivity;
Service Delivery;
Service Operations;
Supply Chain;
Distribution;
Green Technology Industry;
Service Industry;
Retail Industry;
Germany;
Europe
- 2023
- Working Paper
Design-Based Confidence Sequences: A General Approach to Risk Mitigation in Online Experimentation
By: Dae Woong Ham, Michael Lindon, Martin Tingley and Iavor Bojinov
Randomized experiments have become the standard method for companies to evaluate the performance of new products or services. In addition to augmenting managers’ decision-making, experimentation mitigates risk by limiting the proportion of customers exposed to...
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Keywords:
Performance Evaluation;
Research and Development;
Analytics and Data Science;
Consumer Behavior
Ham, Dae Woong, Michael Lindon, Martin Tingley, and Iavor Bojinov. "Design-Based Confidence Sequences: A General Approach to Risk Mitigation in Online Experimentation." Harvard Business School Working Paper, No. 23-070, May 2023.
- April 12, 2023
- Article
Using AI to Adjust Your Marketing and Sales in a Volatile World
By: Das Narayandas and Arijit Sengupta
Why are some firms better and faster than others at adapting their use of customer data to respond to changing or uncertain marketing conditions? A common thread across faster-acting firms is the use of AI models to predict outcomes at various stages of the customer...
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Keywords:
Forecasting and Prediction;
AI and Machine Learning;
Consumer Behavior;
Technology Adoption;
Competitive Advantage
Narayandas, Das, and Arijit Sengupta. "Using AI to Adjust Your Marketing and Sales in a Volatile World." Harvard Business Review Digital Articles (April 12, 2023).
- 2023
- Working Paper
Using GPT for Market Research
By: James Brand, Ayelet Israeli and Donald Ngwe
Large language models (LLMs) have quickly become popular as labor-augmenting tools
for programming, writing, and many other processes that benefit from quick text generation.
In this paper we explore the uses and benefits of LLMs for researchers and...
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Keywords:
Large Language Model;
Research;
AI and Machine Learning;
Analysis;
Customers;
Consumer Behavior;
Technology Industry;
Information Technology Industry
Brand, James, Ayelet Israeli, and Donald Ngwe. "Using GPT for Market Research." Harvard Business School Working Paper, No. 23-062, April 2023. (Revised July 2023.)
- April 2023
- Article
The Real Exchange Rate, Innovation and Productivity
By: Laura Alfaro, Alejandro Cuñat, Harald Fadinger and Yanping Liu
We evaluate manufacturing firms' responses to changes in the real exchange rate (RER) using detailed firm-level data for a large set of countries for the period 2001-2010. We uncover the following stylized facts about regional variation of manufacturing firms'...
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Keywords:
Real Exchange Rate;
Firm Level Data;
Innovation;
Productivity;
Exporting;
Importing;
Credit Constraints;
Currency Exchange Rate;
Innovation and Invention;
Performance Productivity
Alfaro, Laura, Alejandro Cuñat, Harald Fadinger, and Yanping Liu. "The Real Exchange Rate, Innovation and Productivity." Journal of the European Economic Association 21, no. 2 (April 2023): 637–689.
- March 2023 (Revised September 2023)
- Case
Patagonia: 'Earth Is Now Our Only Shareholder'
By: Brian Trelstad, Nien-hê Hsieh, Michael Norris and Susan Pinckney
In September 2022, Yvon Chouinard, the iconoclastic founder of outdoor apparel company Patagonia, announced a new ownership model for his company. Chouinard and his family had held complete control of the company's voting and non-voting stock since its founding 50...
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Keywords:
Trusts;
Business Ventures;
Business Organization;
Family Business;
Restructuring;
Change;
Disruption;
Transition;
Decision Making;
Ethics;
Values and Beliefs;
Finance;
Financial Management;
Governance;
Corporate Governance;
Investment Activism;
Leadership;
Labor;
Law;
Common Law;
Management;
Goals and Objectives;
Organizations;
Corporate Social Responsibility and Impact;
Mission and Purpose;
Organizational Change and Adaptation;
Organizational Culture;
Ownership;
Ownership Type;
Family Ownership;
Private Ownership;
Social Enterprise;
Nonprofit Organizations;
Society;
Social Issues;
Wealth and Poverty;
Value;
Value Creation;
Apparel and Accessories Industry;
United States
Trelstad, Brian, Nien-hê Hsieh, Michael Norris, and Susan Pinckney. "Patagonia: 'Earth Is Now Our Only Shareholder'." Harvard Business School Case 323-057, March 2023. (Revised September 2023.)
- March–April 2023
- Article
Market Segmentation Trees
By: Ali Aouad, Adam Elmachtoub, Kris J. Ferreira and Ryan McNellis
Problem definition: We seek to provide an interpretable framework for segmenting users in a population for personalized decision making. Methodology/results: We propose a general methodology, market segmentation trees (MSTs), for learning market...
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Keywords:
Decision Trees;
Computational Advertising;
Market Segmentation;
Analytics and Data Science;
E-commerce;
Consumer Behavior;
Marketplace Matching;
Marketing Channels;
Digital Marketing
Aouad, Ali, Adam Elmachtoub, Kris J. Ferreira, and Ryan McNellis. "Market Segmentation Trees." Manufacturing & Service Operations Management 25, no. 2 (March–April 2023): 648–667.
- 2023
- Working Paper
Sending Signals: Strategic Displays of Warmth and Competence
By: Bushra S. Guenoun and Julian J. Zlatev
Using a combination of exploratory and confirmatory approaches, this research examines how
people signal important information about themselves to others. We first train machine learning
models to assess the use of warmth and competence impression management...
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Keywords:
AI and Machine Learning;
Personal Characteristics;
Perception;
Interpersonal Communication
Guenoun, Bushra S., and Julian J. Zlatev. "Sending Signals: Strategic Displays of Warmth and Competence." Harvard Business School Working Paper, No. 23-051, February 2023.
- 2022
- Working Paper
How Do Investors Value ESG?
By: Malcolm Baker, Mark Egan and Suproteem K. Sarkar
Environmental, social, and governance (ESG) objectives have risen to near the top of the agenda for corporate executives and boards, driven in large part by their perceptions of shareholder interest. We quantify the value that shareholders place on ESG using a revealed...
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Keywords:
Investment;
Investment Portfolio;
Corporate Social Responsibility and Impact;
Business and Shareholder Relations;
Environmental Sustainability;
Governance;
Financial Services Industry;
United States
Baker, Malcolm, Mark Egan, and Suproteem K. Sarkar. "How Do Investors Value ESG?" NBER Working Paper Series, No. 30708, December 2022. (Harvard Business School Working Paper, No. 23-028, November 2022.)
- October 2022
- Case
Afrigen Biologics: Vaccines for the Global South
By: Debora L. Spar and Julia Comeau
The majority of vaccines used on the continent of Africa (99%) are produced offshore. This makes African nations reliant on the West for major health care needs, a problem which was exacerbated by the COVID-19 pandemic. Afrigen Biologics (in partnership with the WHO)...
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