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- All HBS Web
(117,178)
- Faculty Publications (3,212)
- Article
Foreign Competition and Domestic Innovation: Evidence from U.S. Patents
By: David Autor, David Dorn, Gordon H. Hanson, Gary P. Pisano and Pian Shu
Manufacturing accounts for more than three-quarters of U.S. corporate patents. The competitive shock to this sector emanating from China's economic ascent could in theory either augment or stifle U.S. innovation. Using three decades of U.S. patents matched to corporate... View Details
Autor, David, David Dorn, Gordon H. Hanson, Gary P. Pisano, and Pian Shu. "Foreign Competition and Domestic Innovation: Evidence from U.S. Patents." American Economic Review: Insights 2, no. 3 (September 2020): 357–374.
- September–October 2020
- Article
Global Supply Chains in a Post-Pandemic World: Companies Need to Make Their Networks More Resilient. Here's How.
By: Willy C. Shih
The COVID-19 pandemic exposed the vulnerabilities in the production strategies and supply chains of firms everywhere. Coupled with a rise in economic nationalism, manufacturers everywhere are going to be under pressure to rethink their sourcing and logistics... View Details
Keywords: Resilience; Pandemic; Operations Management; Health Pandemics; Supply Chain; Supply Chain Management; Manufacturing Industry; United States; Asia; Europe
Shih, Willy C. "Global Supply Chains in a Post-Pandemic World: Companies Need to Make Their Networks More Resilient. Here's How." R2005F. Harvard Business Review 98, no. 5 (September–October 2020): 82–89.
- September–October 2020
- Article
The Past, Present, and (Near) Future of Gene Therapy and Gene Editing
By: Julia Pian, Amitabh Chandra and Ariel Dora Stern
Emerging gene therapy and gene-editing technologies will have a growing impact on patient lives and health-care delivery. We analyzed a decade of data on clinical trials and venture capital investments to understand the likely trajectory of genetically focused... View Details
Keywords: Gene Therapy; Gene Editing; Impact; Health Care and Treatment; Technological Innovation; Health Testing and Trials; Venture Capital; Change
Pian, Julia, Amitabh Chandra, and Ariel Dora Stern. "The Past, Present, and (Near) Future of Gene Therapy and Gene Editing." NEJM Catalyst Innovations in Care Delivery 1, no. 5 (September–October 2020).
- September 2020 (Revised July 2022)
- Case
Tulsa Remote: Moving Talent to Middle America
By: Prithwiraj (Raj) Choudhury, Emma Salomon and Brittany Logan
Tulsa Remote sought to attract a diverse group of remote workers to the city of Tulsa, Oklahoma—and was willing to put its money where its mouth was, offering $10,000 and a range of wraparound services for its program participants. After a successful pilot year, which... View Details
Keywords: Remote Work; Relocation; COVID-19 Pandemic; Community; Employment; Internet and the Web; Geographic Location; Programs; Employees; Diversity; Recruitment; Oklahoma; Tulsa
Choudhury, Prithwiraj (Raj), Emma Salomon, and Brittany Logan. "Tulsa Remote: Moving Talent to Middle America." Harvard Business School Case 621-048, September 2020. (Revised July 2022.)
- September 2020
- Article
Unequal Effects of the COVID-19 Pandemic on Scientists
By: Kyle Myers, Wei Yang Tham, Yian Yin, Nina Cohodes, Marie Thursby, Jerry Thursby, Peter Schiffer, Joseph Walsh, Karim R. Lakhani and Dashun Wang
COVID-19 has not affected all scientists equally. A survey of principal investigators indicates that female scientists, those in the ‘bench sciences’ and, especially, scientists with young children experienced a substantial decline in time devoted to research. This... View Details
Myers, Kyle, Wei Yang Tham, Yian Yin, Nina Cohodes, Marie Thursby, Jerry Thursby, Peter Schiffer, Joseph Walsh, Karim R. Lakhani, and Dashun Wang. "Unequal Effects of the COVID-19 Pandemic on Scientists." Nature Human Behaviour 4, no. 9 (September 2020): 880–883.
- August 2020 (Revised September 2020)
- Technical Note
Assessing Prediction Accuracy of Machine Learning Models
The note introduces a variety of methods to assess the accuracy of machine learning prediction models. The note begins by briefly introducing machine learning, overfitting, training versus test datasets, and cross validation. The following accuracy metrics and tools... View Details
Keywords: Machine Learning; Statistics; Econometric Analyses; Experimental Methods; Data Analysis; Data Analytics; Forecasting and Prediction; Analytics and Data Science; Analysis; Mathematical Methods
Toffel, Michael W., Natalie Epstein, Kris Ferreira, and Yael Grushka-Cockayne. "Assessing Prediction Accuracy of Machine Learning Models." Harvard Business School Technical Note 621-045, August 2020. (Revised September 2020.)
- 2021
- Working Paper
Time and the Value of Data
By: Ehsan Valavi, Joel Hestness, Newsha Ardalani and Marco Iansiti
Managers often believe that collecting more data will continually improve the accuracy of their machine learning models. However, we argue in this paper that when data lose relevance over time, it may be optimal to collect a limited amount of recent data instead of... View Details
Keywords: Economics Of AI; Machine Learning; Non-stationarity; Perishability; Value Depreciation; Analytics and Data Science; Value
Valavi, Ehsan, Joel Hestness, Newsha Ardalani, and Marco Iansiti. "Time and the Value of Data." Harvard Business School Working Paper, No. 21-016, August 2020. (Revised November 2021.)
- August 2020
- Technical Note
Comparing Two Groups: Sampling and t-Testing
This note describes sampling and t-tests, two fundamental statistical concepts. View Details
Keywords: Statistics; Econometric Analyses; Experimental Methods; Data Analysis; Data Analytics; Analytics and Data Science; Analysis; Surveys; Mathematical Methods
Bojinov, Iavor I., Chiara Farronato, Yael Grushka-Cockayne, Willy C. Shih, and Michael W. Toffel. "Comparing Two Groups: Sampling and t-Testing." Harvard Business School Technical Note 621-044, August 2020.
- August 2020 (Revised March 2021)
- Case
Migros Turkey: Scaling Online Operations (A)
By: Antonio Moreno and Gamze Yucaoglu
The case opens in November 2019 as Ozgur Tort and Mustafa Bartin, CEO and chief large-format and online retail officer of Migros Ticaret A.S. (Migros), Turkey’s oldest and one of its largest supermarket chains, are contemplating what the best fulfillment format and... View Details
Keywords: Retail; Grocery; Business Model; Emerging Markets; For-Profit Firms; Strategy; Digital Platforms; Information Technology; Technology Adoption; Value Creation; Globalization; Competition; Expansion; Logistics; Profit; Resource Allocation; Corporate Strategy; Turkey
Moreno, Antonio, and Gamze Yucaoglu. "Migros Turkey: Scaling Online Operations (A)." Harvard Business School Case 621-026, August 2020. (Revised March 2021.)
- August 2020 (Revised March 2021)
- Supplement
Migros Turkey: Scaling Online Operations (B)
By: Antonio Moreno and Gamze Yucaoglu
The case opens in February 2020 as Ozgur Tort and Mustafa Bartin, CEO and chief large-format and online retail officer of Migros Ticaret A.S. (Migros), Turkey’s oldest and one of its largest supermarket chains, are looking over the results of the fulfillment pilot the... View Details
Keywords: Grocery; Business Model; Strategy; Digital Platforms; Information Technology; Technology Adoption; Value Creation; Globalization; Competition; Expansion; Logistics; Profit; Resource Allocation; Corporate Strategy; Retail Industry; Turkey
Moreno, Antonio, and Gamze Yucaoglu. "Migros Turkey: Scaling Online Operations (B)." Harvard Business School Supplement 621-027, August 2020. (Revised March 2021.)
- August 2020
- Supplement
The Tham Luang Cave Rescue (B): The Rescue
By: Yael Grushka-Cockayne, Francesca Gino and Gary P. Pisano
Grushka-Cockayne, Yael, Francesca Gino, and Gary P. Pisano. "The Tham Luang Cave Rescue (B): The Rescue." Harvard Business School Supplement 321-035, August 2020.
- August 2020
- Case
The Tham Luang Cave Rescue: The Search (A)
By: Yael Grushka-Cockayne, Francesca Gino and Gary P. Pisano
Grushka-Cockayne, Yael, Francesca Gino, and Gary P. Pisano. "The Tham Luang Cave Rescue: The Search (A)." Harvard Business School Case 321-034, August 2020.
- August 2020
- Case
Ready for Take-Off at Jet It
By: Gary P. Pisano, Hise Gibson and Nicole Gilmore
This case examines the business model and growth of a start-up company in the private aviation industry. In June 2020, amidst the COVID crisis, the company's co-founder and CEO must make a decision regarding an order of new jets that will significantly expand the... View Details
Keywords: Capacity Planning; Business Startups; Business Model; Growth and Development Strategy; Air Transportation Industry
Pisano, Gary P., Hise Gibson, and Nicole Gilmore. "Ready for Take-Off at Jet It." Harvard Business School Case 621-036, August 2020.
- Article
Do We Spend Too Much on Health Care?
By: Katherine Baicker and Amitabh Chandra
Health system reforms—such as changes in insurance design, patient cost sharing, payment reform, or price regulation—should be judged by whether they move us toward higher-value use of resources, rather than by whether they reduce spending. View Details
Keywords: Health Care and Treatment; Cost; Governing Rules, Regulations, and Reforms; Value Creation
Baicker, Katherine, and Amitabh Chandra. "Do We Spend Too Much on Health Care?" New England Journal of Medicine 383, no. 7 (August 13, 2020): 605–608.
- August 2020
- Teaching Plan
Obsidian: Product or Platform?
By: Karim R. Lakhani, Peter Barrett and Julia Kelley
Teaching Plan for HBS Case No. 620-018. View Details
- Other Article
High Velocity Business Experiments
By: Stefan Thomke and Jim Euchner
Thomke, Stefan, and Jim Euchner. "High Velocity Business Experiments." Research-Technology Management 63, no. 4 (July–August 2020).
- August 2020
- Article
Improving Working Conditions in Global Supply Chains: The Role of Institutional Environments and Monitoring Program Design
By: Jodi L. Short, Michael W. Toffel and Andrea R. Hugill
Activism seeking to improve labor conditions in global supply chains has led many transnational corporations to adopt codes of conduct and monitor suppliers for compliance. Drawing on thousands of audits conducted by a major social auditor, we identify structural... View Details
Keywords: Monitoring; Supplier Relationship; Sustainability; Sustainability Management; Sustainable Operations; Sustainable Supply Chains; NGO; Operations; Supply Chain Management; Governance Compliance; Corporate Social Responsibility and Impact; Global Range; Working Conditions
Short, Jodi L., Michael W. Toffel, and Andrea R. Hugill. "Improving Working Conditions in Global Supply Chains: The Role of Institutional Environments and Monitoring Program Design." ILR Review 73, no. 4 (August 2020): 873–912.
- August 2020
- Article
Machine Learning and Human Capital Complementarities: Experimental Evidence on Bias Mitigation
By: Prithwiraj Choudhury, Evan Starr and Rajshree Agarwal
The use of machine learning (ML) for productivity in the knowledge economy requires considerations of important biases that may arise from ML predictions. We define a new source of bias related to incompleteness in real time inputs, which may result from strategic... View Details
Choudhury, Prithwiraj, Evan Starr, and Rajshree Agarwal. "Machine Learning and Human Capital Complementarities: Experimental Evidence on Bias Mitigation." Strategic Management Journal 41, no. 8 (August 2020): 1381–1411.
- 2020
- Working Paper
What Can Economics Say About Alzheimer's Disease?
By: Amitabh Chandra, Courtney Coile and Corina Mommaerts
Alzheimer’s Disease (AD) affects one in ten people aged 65 or older and is the most expensive disease in the United States. We describe the central economic questions raised by AD. While there is overlap with the economics of aging, the defining features of the... View Details
Chandra, Amitabh, Courtney Coile, and Corina Mommaerts. "What Can Economics Say About Alzheimer's Disease?" NBER Working Paper Series, No. 27760, August 2020.
- Article
The Importance of Being Causal
By: Iavor I Bojinov, Albert Chen and Min Liu
Causal inference is the study of how actions, interventions, or treatments affect outcomes of interest. The methods that have received the lion’s share of attention in the data science literature for establishing causation are variations of randomized experiments.... View Details
Keywords: Causal Inference; Observational Studies; Cross-sectional Studies; Panel Studies; Interrupted Time-series; Instrumental Variables
Bojinov, Iavor I., Albert Chen, and Min Liu. "The Importance of Being Causal." Harvard Data Science Review 2.3 (July 30, 2020).