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(28,931)
- Faculty Publications (7,173)
- January 2024 (Revised January 2025)
- Case
Huawei: Resilience amid Autarky and Adversity
By: William C. Kirby and Daniel Fu
In September 2023, Huawei made a dramatic return to the global smartphone space with the launch of its Mate 60 Pro smartphone, equipped with an indigenously designed, 7nm chip. This came despite a myriad of export controls and restrictions imposed against the company... View Details
Keywords: International Strategy; Semiconductors; Smartphone; Government And Politics; Government And Business; Digital Infrastructure; 5G; Political Risk; Business and Government Relations; Global Strategy; Multinational Firms and Management; Governing Rules, Regulations, and Reforms; AI and Machine Learning; Mobile and Wireless Technology; Leadership; Retirement; Corporate Strategy; Technology Industry; China; United States; Europe; Asia; Middle East
- 2024
- Working Paper
Contributing to Growth? The Role of Open Source Software for Global Startups
By: Nataliya Langburd Wright, Frank Nagle and Shane Greenstein
How does participating in open source software (OSS) communities spur entrepreneurial growth?
To address this question, we analyze novel data matching accounts from GitHub—the largest OSS
hosting platform—to the universe of global software venture-backed firms... View Details
Keywords: Applications and Software; Open Source Distribution; Entrepreneurship; Business Growth and Maturation; Human Capital; Valuation; Corporate Strategy
Wright, Nataliya Langburd, Frank Nagle, and Shane Greenstein. "Contributing to Growth? The Role of Open Source Software for Global Startups." Harvard Business School Working Paper, No. 24-040, January 2024. (Revised August 2024.)
- January 2024
- Case
The Financial Times (FT) and Generative AI
By: Andrew Rashbass, Ramon Casadesus-Masanell and Jordan Mitchell
In September 2023, John Ridding, CEO of the Financial Times, was considering the possible impact of Generative AI on the industry and his business. Having navigated successfully the seismic shift from print to digital, and reporting record results, the company... View Details
Keywords: AI and Machine Learning; Technology Adoption; Change Management; Journalism and News Industry
Rashbass, Andrew, Ramon Casadesus-Masanell, and Jordan Mitchell. "The Financial Times (FT) and Generative AI." Harvard Business School Case 724-410, January 2024.
- January 2024 (Revised January 2025)
- Case
Colbún and Chile's Energy Transition
By: Forest Reinhardt, Jenyfeer Martinez Buitrago and Mariana Cal
In May 2023, Colbún, Chile’s second-largest electricity generator, plans capacity expansions using renewable energy and storage. This strategy supports Chile’s commitment to carbon neutrality (also known as net zero emissions) by 2050. The case delves into the... View Details
Keywords: Transition; Energy Generation; Renewable Energy; Climate Change; Investment; Governing Rules, Regulations, and Reforms; Infrastructure; Organizational Change and Adaptation; Expansion; Business Strategy; Energy Industry; Utilities Industry; Latin America; South America; Chile
Reinhardt, Forest, Jenyfeer Martinez Buitrago, and Mariana Cal. "Colbún and Chile's Energy Transition." Harvard Business School Case 724-026, January 2024. (Revised January 2025.)
- January 2024 (Revised February 2024)
- Course Overview Note
Managing Customers for Growth: Course Overview for Students
By: Eva Ascarza
Managing Customers for Growth (MCG) is a 14-session elective course for second-year MBA students at Harvard Business School. It is designed for business professionals engaged in roles centered on customer-driven growth activities. The course explores the dynamics of... View Details
Keywords: Customer Relationship Management; Decision Making; Analytics and Data Science; Growth Management; Telecommunications Industry; Technology Industry; Financial Services Industry; Education Industry; Travel Industry
Ascarza, Eva. "Managing Customers for Growth: Course Overview for Students." Harvard Business School Course Overview Note 524-032, January 2024. (Revised February 2024.)
- January 2024 (Revised June 2025)
- Exercise
Travelogo: Understanding Customer Journeys
By: Eva Ascarza, Nicolas Padilla and Oded Netzer
In late May 2023, Sarah Merino, the newly appointed manager of the Customer Insights group at Travelogo—an online travel booking platform—initiates a comprehensive analysis of clickstream data to understand the varied behaviors and needs of their users. In preparation... View Details
Keywords: Customer Relationship Management; Analysis; Analytics and Data Science; Marketing Strategy; Segmentation; Consumer Behavior; Travel Industry; United States
Ascarza, Eva, Nicolas Padilla, and Oded Netzer. "Travelogo: Understanding Customer Journeys." Harvard Business School Exercise 524-044, January 2024. (Revised June 2025.)
- January 2024
- Case
BWX Technologies
By: Suraj Srinivasan, Yuan Zou and Aldo Sesia
Rex Geveden and Robb LeMasters, CEO and CFO of BWX Technologies, Inc. (BWXT), were concerned that investors and analysts did not fully appreciate the company's transformation from a nuclear reactor provider to the US Navy and Canadian utilities to a multi-product line... View Details
Keywords: Transformation; Communication Intention and Meaning; Business and Shareholder Relations; Valuation; Diversification; United States; Canada
Srinivasan, Suraj, Yuan Zou, and Aldo Sesia. "BWX Technologies." Harvard Business School Case 124-071, January 2024.
- January 2024 (Revised February 2024)
- Case
OpenAI: Idealism Meets Capitalism
By: Shikhar Ghosh and Shweta Bagai
In November 2023, the board of OpenAI, one of the most successful companies in the history of technology, decided to fire Sam Altman, its charismatic and influential CEO. Their decision shocked the corporate world and had people wondering why OpenAI had designed a... View Details
Keywords: AI; AI and Machine Learning; Governing and Advisory Boards; Ethics; Strategy; Technological Innovation; Leadership
Ghosh, Shikhar, and Shweta Bagai. "OpenAI: Idealism Meets Capitalism." Harvard Business School Case 824-134, January 2024. (Revised February 2024.)
- January 2024
- Case
National Football League and Private 5G
By: Andy Wu, Grant Son and Shuoyu Chen
On September 9, 2021, the National Football League (NFL) designated Verizon as its official 5G partner in a 10-year deal, committed to enhance the experience for NFL teams, players, and fans in stadiums. NFL Commissioner Roger Goodell said, “Verizon will help us... View Details
Keywords: Football; National Football League; 5G; Verizon; Communication Technology; Mobile and Wireless Technology; Technology Adoption; Risk and Uncertainty; Business Strategy; Collaborative Innovation and Invention; Sports Industry; Telecommunications Industry
Wu, Andy, Grant Son, and Shuoyu Chen. "National Football League and Private 5G." Harvard Business School Case 724-433, January 2024.
- January 2024 (Revised May 2024)
- Case
Private 5G Networks
By: Andy Wu and Maggie Yang
In the late 2010’s, 5G emerged as a new standard in communication technology. 5G was designed to enable ultra-reliable low-latency communications (URLLC), massive machine-type communication (MMTC), and enhanced mobile broadband (EMBB) (see Exhibit 1 for a detailed... View Details
Keywords: 5G; Communication Technology; Mobile and Wireless Technology; Technological Innovation; Innovation Strategy; Telecommunications Industry
Wu, Andy, and Maggie Yang. "Private 5G Networks." Harvard Business School Case 724-430, January 2024. (Revised May 2024.)
- January 2024 (Revised February 2024)
- Case
Data-Driven Denim: Financial Forecasting at Levi Strauss
By: Mark Egan
The case examines Levi Strauss’ journey in implementing machine learning and AI into its financial forecasting process. The apparel company partnered with the IT company Wipro in 2017 to develop a machine learning algorithm that could help Levi Strauss forecast its... View Details
Keywords: Investor Relations; Forecasting; Machine Learning; Artificial Intelligence; Apparel; Corporate Finance; Forecasting and Prediction; AI and Machine Learning; Digital Transformation; Apparel and Accessories Industry; United States
Egan, Mark. "Data-Driven Denim: Financial Forecasting at Levi Strauss." Harvard Business School Case 224-029, January 2024. (Revised February 2024.)
- January 2024
- Article
A Cost Model for a Low Threshold Clinic Treating Opioid Use Disorder
By: Sarah E. Wakeman, Elizabeth Powell, Syed Shehab, Grace Herman, Laura Kehoe and Robert S. Kaplan
The US fee-for-service payment system under-reimburses clinics offering access to comprehensive treatments for opioid use disorder (OUD). The funding shortfall limits a clinic’s ability to expand and improve access, especially for socially marginalized patients with... View Details
Wakeman, Sarah E., Elizabeth Powell, Syed Shehab, Grace Herman, Laura Kehoe, and Robert S. Kaplan. "A Cost Model for a Low Threshold Clinic Treating Opioid Use Disorder." Journal of Behavioral Health Services & Research 51, no. 1 (January 2024): 22–30.
- 2024
- Working Paper
Bootstrap Diagnostics for Irregular Estimators
By: Isaiah Andrews and Jesse M. Shapiro
Empirical researchers frequently rely on normal approximations in order to summarize and communicate uncertainty about their findings to their scientific audience. When such approximations are unreliable, they can lead the audience to make misguided decisions. We... View Details
Andrews, Isaiah, and Jesse M. Shapiro. "Bootstrap Diagnostics for Irregular Estimators." NBER Working Paper Series, No. 32038, January 2024.
- January 2024
- Article
Dog Eat Dog: Balancing Network Effects and Differentiation in a Digital Platform Merger
By: Chiara Farronato, Jessica Fong and Andrey Fradkin
Digital platforms are increasingly the subject of regulatory scrutiny. In comparison to multiple competitors, a single platform may increase consumer welfare if network effects are large or may decrease welfare due to higher prices or reduction in platform variety. We... View Details
Keywords: Platform Differentiation; Digital Platforms; Network Effects; Measurement and Metrics; Mergers and Acquisitions; Outcome or Result
Farronato, Chiara, Jessica Fong, and Andrey Fradkin. "Dog Eat Dog: Balancing Network Effects and Differentiation in a Digital Platform Merger." Management Science 70, no. 1 (January 2024): 464–483.
- 2024
- Working Paper
Employer-Based Short-Term Savings Accounts
By: Sarah Holmes Berk, John Beshears, Jay Garg, James J. Choi and David Laibson
We study the introduction of a choice architecture design intended to increase short-term savings among employees at five U.K. firms. Employees were offered the opportunity to opt into a payroll deduction program that auto-deposits funds from each paycheck into a... View Details
Berk, Sarah Holmes, John Beshears, Jay Garg, James J. Choi, and David Laibson. "Employer-Based Short-Term Savings Accounts." NBER Working Paper Series, No. 32074, January 2024.
- January 2024
- Article
Fencing Off Silicon Valley: Cross-Border Venture Capital and Technology Spillovers
By: Ufuk Akcigit, Sina T. Ates, Josh Lerner, Richard Townsend and Yulia Zhestkova
The treatment of foreign investors is a contentious topic in U.S. entrepreneurship policy. We
model a setting where foreign corporate investments in Silicon Valley may allow U.S. entrepreneurs to pursue technologies that they could not otherwise, but may also lead to... View Details
Keywords: Innovation; Corporate Venture Capital; Knowledge Spillovers; Foreign Direct Investment; Innovation and Invention; Venture Capital; Entrepreneurship; Policy
Akcigit, Ufuk, Sina T. Ates, Josh Lerner, Richard Townsend, and Yulia Zhestkova. "Fencing Off Silicon Valley: Cross-Border Venture Capital and Technology Spillovers." Journal of Monetary Economics 141 (January 2024): 14–39.
- January 2024
- Article
Helping Children Catch Up: Early Life Shocks and the PROGRESA Experiment
By: Achyuta Adhvaryu, Theresa Molina, Anant Nyshadham and Jorge Tamayo
Can investing in children who faced adverse events in early childhood help them catch up? We answer this question using two orthogonal sources of variation – resource availability at birth (local rainfall) and cash incentives for school enrollment – to identify the... View Details
Adhvaryu, Achyuta, Theresa Molina, Anant Nyshadham, and Jorge Tamayo. "Helping Children Catch Up: Early Life Shocks and the PROGRESA Experiment." Economic Journal 134, no. 657 (January 2024): 1–22.
- 2024
- Conference Paper
Quantifying Uncertainty in Natural Language Explanations of Large Language Models
By: Himabindu Lakkaraju, Sree Harsha Tanneru and Chirag Agarwal
Large Language Models (LLMs) are increasingly used as powerful tools for several
high-stakes natural language processing (NLP) applications. Recent prompting
works claim to elicit intermediate reasoning steps and key tokens that serve as
proxy explanations for LLM... View Details
Lakkaraju, Himabindu, Sree Harsha Tanneru, and Chirag Agarwal. "Quantifying Uncertainty in Natural Language Explanations of Large Language Models." Paper presented at the Society for Artificial Intelligence and Statistics, 2024.
- January–February 2024
- Article
Shared Service Delivery Can Increase Client Engagement: A Study of Shared Medical Appointments
By: Ryan W. Buell, Kamalini Ramdas, Nazlı Sönmez, Kavitha Srinivasan and Rengaraj Venkatesh
Problem Definition: Clients and service providers alike often consider one-on-one service delivery to be ideal, assuming – perhaps unquestioningly – that devoting individualized attention best improves client outcomes. In contrast, in shared service delivery, clients... View Details
Keywords: Health Care and Treatment; Customer Satisfaction; Outcome or Result; Performance Improvement
Buell, Ryan W., Kamalini Ramdas, Nazlı Sönmez, Kavitha Srinivasan, and Rengaraj Venkatesh. "Shared Service Delivery Can Increase Client Engagement: A Study of Shared Medical Appointments." Manufacturing & Service Operations Management 26, no. 1 (January–February 2024): 154–166.
- January 2024
- Article
Subset Scanning for Multi-Trait Analysis Using GWAS Summary Statistics
By: Rui Cao, Evan Olawsky, Edward McFowland III, Erin Marcotte, Logan Spector and Tianzhong Yang
Multi-trait analysis has been shown to have greater statistical power than single-trait analysis. Most of the existing multi-trait analysis methods only work with a limited number of traits and usually prioritize high statistical power over identifying relevant traits,... View Details
Cao, Rui, Evan Olawsky, Edward McFowland III, Erin Marcotte, Logan Spector, and Tianzhong Yang. "Subset Scanning for Multi-Trait Analysis Using GWAS Summary Statistics." Bioinformatics 40, no. 1 (January 2024).