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- April 2025
- Case
Lisa Su and AMD (A)
By: Joshua D. Margolis, Matthew Preble and Dave Habeeb
This multimedia case study focuses on CEO Lisa Su’s turnaround and subsequent transformation of the technology company Advanced Micro Devices, Inc. (AMD). When Su accepted the top position in 2014, AMD was on the verge of collapse. Su focused the company’s culture,... View Details
Keywords: Turnaround; Artificial Intelligence; Semiconductors; Change Management; Transformation; Decision Making; Globalized Markets and Industries; Government and Politics; AI and Machine Learning; Innovation and Management; Innovation Strategy; Innovation Leadership; Leadership; Leadership Style; Leading Change; Management; Product Design; Product Development; Organizational Change and Adaptation; Organizational Culture; Organizational Design; Strategic Planning; Business and Shareholder Relations; Business and Stakeholder Relations; Research and Development; Business Strategy; Competitive Strategy; Competitive Advantage; Corporate Strategy; Semiconductor Industry; Computer Industry; United States; California; Texas
Margolis, Joshua D., Matthew Preble, and Dave Habeeb. "Lisa Su and AMD (A)." Harvard Business School Multimedia/Video Case 425-704, April 2025.
- April 2025
- Supplement
Lisa Su and AMD (B)
By: Joshua D. Margolis, Matthew Preble and Dave Habeeb
This multimedia case study focuses on CEO Lisa Su’s turnaround and subsequent transformation of the technology company Advanced Micro Devices, Inc. (AMD). When Su accepted the top position in 2014, AMD was on the verge of collapse. Su focused the company’s culture,... View Details
Keywords: Leadership; Turnaround; Transformation; Semiconductors; Artificial Intelligence; Semiconductor Industry; Computer Industry; United States; California; Texas
Margolis, Joshua D., Matthew Preble, and Dave Habeeb. "Lisa Su and AMD (B)." Harvard Business School Supplement 425-705, April 2025.
- 2025
- Book
Space to Grow: Unlocking the Final Economic Frontier
By: Matthew Weinzierl and Brendan Rosseau
Your guide--using the compelling stories of changemakers and the tools of economics--to the transformation and future possibilities of the business and economics of space.
Space is a place of unparalleled possibility for humanity, and it's undergoing a... View Details
Space is a place of unparalleled possibility for humanity, and it's undergoing a... View Details
Keywords: Transformation; Economics; Innovation and Invention; Market Entry and Exit; Aerospace Industry
Weinzierl, Matthew, and Brendan Rosseau. Space to Grow: Unlocking the Final Economic Frontier. Harvard Business Review Press, 2025.
- January 2025 (Revised February 2025)
- Background Note
A High-Tech Revolution with Chinese Characteristics: China's Drive Towards EV Supremacy
By: William C. Kirby, Daniel Fu and Matthew Ngai
This background note explains and documents the rise of China's EV industry. Moreover, it identifies the challenges facing it and posits several questions about the decisions needed to be made to sustain the industry's global dominance. Would Chinese producers be able... View Details
- December 2024
- Technical Note
Ethical Analysis: Complicity
By: Nien-hê Hsieh and Matthew Souba
This note introduces students to the concept of complicity and outlines key questions to determine whether a party is complicit in the wrong or harm caused by another. The note uses examples from the well-known case of Theranos. View Details
Keywords: Ethics
Hsieh, Nien-hê, and Matthew Souba. "Ethical Analysis: Complicity." Harvard Business School Technical Note 325-076, December 2024.
- 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
Keywords: Large Language Models; AI and Machine Learning; Accounting; Profit; Corporate Disclosure; Analytics and Data Science; Measurement and Metrics
Shaffer, Matthew, and Charles CY Wang. "Scaling Core Earnings Measurement with Large Language Models." Working Paper, November 2024.
- August 2024
- Case
Lucky Ones Coffee: Employing People with Disabilities
By: Richard S. Ruback, Robin Greenwood, Joe Higgins, Matthew Preble and Dave Habeeb
Katie Holyfield and Taylor Matkins founded The Lucky Ones Coffee in 2017 with a mission to create jobs in Park City, Utah for people with intellectual and developmental disabilities. The company quickly earned strong support from the local community, and by early 2023... View Details
Keywords: Entrepreneurship; Selection and Staffing; Growth and Development Strategy; Mission and Purpose; Service Industry; Tourism Industry; Retail Industry; Food and Beverage Industry; Utah; United States
Ruback, Richard S., Robin Greenwood, Joe Higgins, Matthew Preble, and Dave Habeeb. "Lucky Ones Coffee: Employing People with Disabilities." Harvard Business School Multimedia/Video Case 225-702, August 2024.
- 2025
- Working Paper
Evaluations Amid Measurement Error: Determining the Optimal Timing for Workplace Interventions
By: Matthew DosSantos DiSorbo, Iavor I. Bojinov and Fiammetta Menchetti
Researchers have embraced factorial experiments to simultaneously evaluate multiple treatments, each with different levels. Typically, in large-scale factorial experiments, the primary objective is identifying the treatment with the largest causal effect, especially... View Details
Keywords: Factorial Designs; Fisher Randomizations; Rank Estimators; Employer Interventions; Causal Inference; Mathematical Methods; Performance Improvement
DosSantos DiSorbo, Matthew, Iavor I. Bojinov, and Fiammetta Menchetti. "Evaluations Amid Measurement Error: Determining the Optimal Timing for Workplace Interventions." Harvard Business School Working Paper, No. 24-075, June 2024. (Revised May 2025.)
- 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... View Details
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
- Article
Do Safety Management System Standards Indicate Safer Operations? Evidence from the OHSAS 18001 Occupational Health and Safety Standard
By: Kala Viswanathan, Matthew S. Johnson and Michael W. Toffel
Problem definition: Given the enormous disruptions and costs of occupational injuries, companies and buyers are increasingly looking to voluntary occupational health and safety standards to improve worker safety. Yet because these standards only require... View Details
Keywords: Occupational Health; Occupational Safety; Program Evaluation; Safety Performance; Injuries; OHSAS 18001; ISO 45001; Working Conditions; Safety; Standards
Viswanathan, Kala, Matthew S. Johnson, and Michael W. Toffel. "Do Safety Management System Standards Indicate Safer Operations? Evidence from the OHSAS 18001 Occupational Health and Safety Standard." Art. 106383. Safety Science 171 (March 2024).
- 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... View Details
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 (Revised February 2025)
- Case
Financing Matillion's Scaleup (A)
By: Raymond Kluender, Emanuele Colonnelli and Ramana Nanda
In 2019, Matthew Scullion, founder and CEO of U.K. startup Matillion, faced a decision about which term sheet to accept for the lead investor in his company’s $35 million Series C financing round. Would the connections and opportunities offered by Silicon Valley-based... View Details
Keywords: Entrepreneurship; Negotiation; Ownership; Business Startups; Decisions; Venture Capital; Financing and Loans; Valuation; Information Technology Industry; United Kingdom
Kluender, Raymond, Emanuele Colonnelli, and Ramana Nanda. "Financing Matillion's Scaleup (A)." Harvard Business School Case 824-140, February 2024. (Revised February 2025.)
- 2024
- Working Paper
Does Pension Automatic Enrollment Increase Debt? Evidence from a Large-Scale Natural Experiment
By: John Beshears, Matthew Blakstad, James J. Choi, Christopher Firth, John Gathergood, David Laibson, Richard Notley, Jesal D. Sheth, Will Sandbrook and Neil Stewart
Does automatic enrollment into retirement saving increase household debt? We study the randomized roll-out of automatic enrollment pensions to ~160,000 employers in the United Kingdom with 2-29 employees. We find that the additional savings generated through automatic... View Details
Keywords: Retirement; Saving; Personal Finance; Borrowing and Debt; Credit; Compensation and Benefits
Beshears, John, Matthew Blakstad, James J. Choi, Christopher Firth, John Gathergood, David Laibson, Richard Notley, Jesal D. Sheth, Will Sandbrook, and Neil Stewart. "Does Pension Automatic Enrollment Increase Debt? Evidence from a Large-Scale Natural Experiment." Working Paper, October 2024.
- 2025
- Working Paper
Warnings and Endorsements: Improving Human-AI Collaboration in the Presence of Outliers
By: Matthew DosSantos DiSorbo, Kris Ferreira, Maya Balakrishnan and Jordan Tong
Problem definition: While artificial intelligence (AI) algorithms may perform well on data that are representative of the training set (inliers), they may err when extrapolating on non-representative data (outliers). How can humans and algorithms work together to make... View Details
DosSantos DiSorbo, Matthew, Kris Ferreira, Maya Balakrishnan, and Jordan Tong. "Warnings and Endorsements: Improving Human-AI Collaboration in the Presence of Outliers." Working Paper, May 2025.
- January 2024
- Article
Cost of Exempting Sole Orphan Drugs from Medicare Negotiation
By: Matthew Vogel, Olivia Zhao, William B. Feldman, Amitabh Chandra, Aaron S. Kesselheim and Benjamin N. Rome
Importance: The Inflation Reduction Act (IRA) requires Medicare to negotiate prices for some high-spending drugs but exempts drugs approved solely for the treatment of a single rare disease.
Objective: To estimate Medicare spending and global... View Details
Objective: To estimate Medicare spending and global... View Details
Vogel, Matthew, Olivia Zhao, William B. Feldman, Amitabh Chandra, Aaron S. Kesselheim, and Benjamin N. Rome. "Cost of Exempting Sole Orphan Drugs from Medicare Negotiation." JAMA Internal Medicine 184, no. 1 (January 2024): 63–69.
- 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... View Details
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.
- October 2023
- Article
Improving Regulatory Effectiveness Through Better Targeting: Evidence from OSHA
By: Matthew S. Johnson, David I. Levine and Michael W. Toffel
We study how a regulator can best target inspections. Our case study is a U.S. Occupational Safety and Health Administration (OSHA) program that randomly allocated some inspections. On average, each inspection averted 2.4 serious injuries (9%) over the next five years.... View Details
Keywords: Safety Regulations; Regulations; Regulatory Enforcement; Machine Learning Models; Safety; Operations; Service Operations; Production; Forecasting and Prediction; Decisions; United States
Johnson, Matthew S., David I. Levine, and Michael W. Toffel. "Improving Regulatory Effectiveness Through Better Targeting: Evidence from OSHA." American Economic Journal: Applied Economics 15, no. 4 (October 2023): 30–67. (Profiled in the Regulatory Review.)
- May 2023
- Course Overview Note
Space: Public and Commercial Economics (SPACE)
SPACE is a course with two goals: to use the tools of economics to better understand the rapidly evolving space sector, and to train the next generation of commercial space leaders. We pursue these goals through a systematic study of the growing space economy,... View Details
Weinzierl, Matthew C. "Space: Public and Commercial Economics (SPACE)." Harvard Business School Course Overview Note 723-062, May 2023.
- 2023
- Article
A Randomized Trial of Behavioral Nudges Delivered through Text Messages to Increase Influenza Vaccination among Patients with an Upcoming Primary Care Visit
By: Mitesh S. Patel, Katherine L. Milkman, Linnea Gandhi, Heather N. Graci, Dena Gromet, Hung Ho, Joseph S. Kay, Timothy W. Lee, Jake Rothschild, Modupe Akinola, John Beshears, Jonathan E. Bogard, Alison Buttenheim, Christopher Chabris, Gretchen B. Chapman, James J. Choi, Hengchen Dai, Craig R. Fox, Amir Goren, Matthew D. Hilchey, Jillian Hmurovic, Leslie John, Dean Karlan, Melanie Kim, David Laibson, Cait Lamberton, Brigitte C. Madrian, Michelle N. Meyer, Maria Modanu, Jimin Nam, Todd Rogers, Renante Rondina, Silvia Saccardo, Maheen Shermohammed, Dilip Soman, Jehan Sparks, Caleb Warren, Megan Weber, Ron Berman, Chalanda N. Evans, Seung Hyeong Lee, Christopher K. Snider, Eli Tsukayama, Christophe Van den Bulte, Kevin G. Volpp and Angela L. Duckworth
Purpose: To evaluate if nudges delivered by text message prior to an upcoming primary care visit can increase influenza vaccination rates.
Design: Randomized, controlled trial.
Setting: Two health systems in the Northeastern US between September 2020 and... View Details
Design: Randomized, controlled trial.
Setting: Two health systems in the Northeastern US between September 2020 and... View Details
Keywords: Vaccination; Health Care and Treatment; Interpersonal Communication; Communication Technology; Behavior; Health Industry
Patel, Mitesh S., Katherine L. Milkman, Linnea Gandhi, Heather N. Graci, Dena Gromet, Hung Ho, Joseph S. Kay, Timothy W. Lee, Jake Rothschild, Modupe Akinola, John Beshears, Jonathan E. Bogard, Alison Buttenheim, Christopher Chabris, Gretchen B. Chapman, James J. Choi, Hengchen Dai, Craig R. Fox, Amir Goren, Matthew D. Hilchey, Jillian Hmurovic, Leslie John, Dean Karlan, Melanie Kim, David Laibson, Cait Lamberton, Brigitte C. Madrian, Michelle N. Meyer, Maria Modanu, Jimin Nam, Todd Rogers, Renante Rondina, Silvia Saccardo, Maheen Shermohammed, Dilip Soman, Jehan Sparks, Caleb Warren, Megan Weber, Ron Berman, Chalanda N. Evans, Seung Hyeong Lee, Christopher K. Snider, Eli Tsukayama, Christophe Van den Bulte, Kevin G. Volpp, and Angela L. Duckworth. "A Randomized Trial of Behavioral Nudges Delivered through Text Messages to Increase Influenza Vaccination among Patients with an Upcoming Primary Care Visit." American Journal of Health Promotion 37, no. 3 (2023): 324–332.
- May 2022 (Revised June 2022)
- Course Overview Note
Harvard Business School’s Required Curriculum
Weinzierl, Matthew C. "Harvard Business School’s Required Curriculum." Harvard Business School Course Overview Note 722-068, May 2022. (Revised June 2022.)