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- June 2024
- Article
Real Growth in Space Manufacturing Output Substantially Exceeds Growth in the Overall Space Economy
By: Tina Highfill and Matthew Weinzierl
Accurately measuring real economic output in the space economy is made difficult by the rapid increase in capabilities and decrease in prices of launch and satellite technologies achieved over the past two decades. Nominal measures of output in space will tend to...
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Highfill, Tina, and Matthew Weinzierl. "Real Growth in Space Manufacturing Output Substantially Exceeds Growth in the Overall Space Economy." Acta Astronautica 219 (June 2024): 236–242.
- March 2024
- Case
Lyft 2023: Roads to Growth and Differentiation
By: Ranjay Gulati and Jeffrey Huizinga
New CEO David Risher evaluates new strategic pathways while asking how much change his team can withstand in a given period.
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- March 2024
- Case
Hippo: Weathering the Storm of the Home Insurance Crisis
By: Lauren Cohen, Grace Headinger and Sophia Pan
Rick McCathron, CEO of Hippo, considered how the firm’s underwriting model could account for the effects of climate change. Along with providing smart home packages, targeting risk-friendly customers, and using data-driven pricing, the Insurtech used technologically...
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Keywords:
Fintech;
Underwriters;
Big Data;
Insurance Companies;
Global Warming;
Business Model Design;
Weather And Climate Change;
Weather Insurance;
Earnings;
Business Model;
Forecasting and Prediction;
Climate Change;
Environmental Sustainability;
Green Technology;
Technological Innovation;
Natural Environment;
Natural Disasters;
Weather;
Business Strategy;
Competitive Advantage;
Business Earnings;
Insurance;
Social Issues;
Insurance Industry;
United States;
California
- March 2024
- Case
Kashat: Navigating the Uncertainties of the Egyptian Fintech Market
By: Paul A. Gompers and Ahmed Dahawy
Karim Nour, the founder of Kashat, an Egyptian nano-lending fintech company, is contemplating how to manage the growth of his startup. Over the summer of 2022, Kashat's loan disbursements had grown by nearly 40%, fueled by macroeconomic instability in Egypt. However,...
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- March 2024
- Exercise
"Storrowed": A Generative AI Exercise
By: Mitchell Weiss
"Storrowed" is an exercise to help participants raise their capacity and curiosity for generative AI. It focuses on generative AI for problem understanding and ideation, but can be adapted for use more broadly. Participants use generative AI tools to understand a...
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Keywords:
AI and Machine Learning
- 2024
- Working Paper
Product Liability Litigation and Innovation: Evidence from Medical Devices
By: Alberto Galasso and Hong Luo
We examine the relationship between product liability litigation and innovation by systematically
combining data on product liability lawsuits with data on new product introductions in a panel dataset of
leading medical device firms. We first document a decline in...
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Keywords:
Lawsuits and Litigation;
Product Development;
Technological Innovation;
Safety;
Governing Rules, Regulations, and Reforms;
Medical Devices and Supplies Industry
Galasso, Alberto, and Hong Luo. "Product Liability Litigation and Innovation: Evidence from Medical Devices." Harvard Business School Working Paper, No. 24-063, March 2024.
- March 2024
- Teaching Note
SolarWinds Confronts SUNBURST
By: Frank Nagle and David Lane
Teaching Note for HBS Case Nos. 723-357 & 723-368.
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- 2024
- Working Paper
Appropriate Entrepreneurship? The Rise of China and the Developing World
By: Josh Lerner, Junxi Liu, Jacob Moscona and David Yang
Global innovation and entrepreneurship has traditionally been dominated by a handful
of high-income countries, especially the US. This paper investigates the international
consequences of the rise of a new hub for innovation, focusing on the dramatic
growth of...
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Lerner, Josh, Junxi Liu, Jacob Moscona, and David Yang. "Appropriate Entrepreneurship? The Rise of China and the Developing World." Harvard Business School Working Paper, No. 24-061, March 2024.
- 2023
- Working Paper
An Experimental Design for Anytime-Valid Causal Inference on Multi-Armed Bandits
By: Biyonka Liang and Iavor I. Bojinov
Typically, multi-armed bandit (MAB) experiments are analyzed at the end of the study and thus require the analyst to specify a fixed sample size in advance. However, in many online learning applications, it is advantageous to continuously produce inference on the...
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Liang, Biyonka, and Iavor I. Bojinov. "An Experimental Design for Anytime-Valid Causal Inference on Multi-Armed Bandits." Harvard Business School Working Paper, No. 24-057, March 2024.
- 2024
- Working Paper
Anytime-Valid Inference in Linear Models and Regression-Adjusted Causal Inference
By: Michael Lindon, Dae Woong Ham, Martin Tingley and Iavor I. Bojinov
Linear regression adjustment is commonly used to analyze randomized controlled experiments due to its efficiency and robustness against model misspecification. Current testing and interval estimation procedures leverage the asymptotic distribution of such estimators to...
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Lindon, Michael, Dae Woong Ham, Martin Tingley, and Iavor I. Bojinov. "Anytime-Valid Inference in Linear Models and Regression-Adjusted Causal Inference." Harvard Business School Working Paper, No. 24-060, March 2024.
- 2023
- Working Paper
Design-Based Inference for Multi-arm Bandits
By: Dae Woong Ham, Iavor I. Bojinov, Michael Lindon and Martin Tingley
Multi-arm bandits are gaining popularity as they enable real-world sequential decision-making across application areas, including clinical trials, recommender systems, and online decision-making. Consequently, there is an increased desire to use the available...
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Ham, Dae Woong, Iavor I. Bojinov, Michael Lindon, and Martin Tingley. "Design-Based Inference for Multi-arm Bandits." Harvard Business School Working Paper, No. 24-056, March 2024.
- March 2024
- Case
Governing OpenAI
By: Lynn S. Paine, Suraj Srinivasan and Will Hurwitz
In late November 2023, OpenAI’s new board of directors took stock of the situation. The company, which sought to develop artificial general intelligence (AGI)—computer systems with capabilities exceeding human abilities—was looking to regain its footing after a chaotic...
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Keywords:
Artificial Intelligence;
Board Of Directors;
Board Decisions;
Board Dynamics;
Business Ethics;
Corporate Boards;
Governance Changes;
Governance Structure;
Leadership Change;
Legal Aspects Of Business;
Nonprofit;
Nonprofit Governance;
Open Source;
Partnerships;
Regulation;
Strategy And Execution;
Technological Change;
AI and Machine Learning;
Corporate Governance;
Leadership;
Management;
Mission and Purpose;
Technological Innovation;
Technology Industry;
San Francisco;
United States
- March 2024
- Case
Unintended Consequences of Algorithmic Personalization
By: Eva Ascarza and Ayelet Israeli
“Unintended Consequences of Algorithmic Personalization” (HBS No. 524-052) investigates algorithmic bias in marketing through four case studies featuring Apple, Uber, Facebook, and Amazon. Each study presents scenarios where these companies faced public criticism for...
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Keywords:
Race;
Gender;
Marketing;
Diversity;
Customer Relationship Management;
Technology Industry;
Technology Industry;
United States
Ascarza, Eva, and Ayelet Israeli. "Unintended Consequences of Algorithmic Personalization." Harvard Business School Case 524-052, March 2024.
- February 2024
- Teaching Note
Fusion Industry Association: Igniting the Future of Clean Energy
Teaching Note for HBS Case No. 624-064. This Teaching Note explores the Fusion Industry Association's efforts to advance commercial fusion energy, highlighting challenges in innovation, regulation, market structure, and financing within the emerging technology sector...
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- February 2024
- Teaching Note
UGG Steps into the Metaverse
By: Shunyuan Zhang and Sunil Gupta
Teaching Note for HBS Case No. 523-013.
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- February 26, 2024
- Article
Making Workplaces Safer Through Machine Learning
By: Matthew S. Johnson, David I. Levine and Michael W. Toffel
Machine learning algorithms can dramatically improve regulatory effectiveness. This short article describes the authors' scholarly work that shows how the U.S. Occupational Safety and Health Administration (OSHA) could have reduced nearly twice as many occupational...
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Keywords:
Government Experimentation;
Auditing;
Inspection;
Evaluation;
Process Improvement;
Government Administration;
AI and Machine Learning;
Safety;
Governing Rules, Regulations, and Reforms
Johnson, Matthew S., David I. Levine, and Michael W. Toffel. "Making Workplaces Safer Through Machine Learning." Regulatory Review (February 26, 2024).
- February 2024
- Case
Finberg: Corporate Venture Capital in Turkey
By: Paul A. Gompers and Namrata Arora
In December 2021, Murat Özyeğin, Chairman of Fiba Holding, along with Ömer Mert and İhsan Elgin, engaged in discussions about the future of United Payment, a fintech company in which Finberg, a subsidiary of Fibabanka, held a 20% stake. Finberg, established in 2018 as...
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Keywords:
Startups;
Corporate Venture Capital;
Technology;
Return On Investment;
Venture Capital;
Investment;
Strategy;
Technological Innovation;
Competition;
Valuation;
Acquisition;
Information Technology Industry;
Information Technology Industry;
Middle East;
North Africa;
Turkey;
Ukraine;
Romania;
Poland
- February 2024
- Case
Taffi: Entrepreneurship in Saudi Arabia
By: Paul A. Gompers and Fares Khrais
Taffi was a tech-enabled fashion styling startup founded by Shahad Geoffrey in Saudi Arabia in 2020. Within three years of operating, Geoferry had pivoted the business multiple times. In 2023, Geoferry was attempting the business’s most ambitious pivot yet, shifting...
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- February 2024
- Module Note
Collaborate on the Core, Compete on the Edges
By: Frank Nagle
In the rapidly evolving environment of modern business, the digitization of economic activity and the ubiquitous integration of technology across industries are fundamentally altering how companies develop and implement strategy. The rise of digital technologies has...
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Nagle, Frank. "Collaborate on the Core, Compete on the Edges." Harvard Business School Module Note 724-453, February 2024.
- February 6, 2024
- Article
Find the AI Approach That Fits the Problem You’re Trying to Solve
By: George Westerman, Sam Ransbotham and Chiara Farronato
AI moves quickly, but organizations change much more slowly. What works in a lab may be wrong for your company right now. If you know the right questions to ask, you can make better decisions, regardless of how fast technology changes. You can work with your technical...
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Westerman, George, Sam Ransbotham, and Chiara Farronato. "Find the AI Approach That Fits the Problem You’re Trying to Solve." Harvard Business Review Digital Articles (February 6, 2024).