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All HBS Web
(17,377)
- Faculty Publications (4,949)
- 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
- Background Note
Physical Climate Risk
By: Michael W. Toffel, Spencer Glendon and Alison Smart
This note describes how managers can identify their company’s physical climate risks, which can heighten the risk of business disruption, change the costs of operations and supply chains, and affect the demand for their goods and services. The note also provides a...
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- March 22, 2024
- Article
It’s Time to Give Up on Ending Social Media’s Misinformation Problem
By: Scott Duke Kominers and Jesse Shapiro
Kominers, Scott Duke, and Jesse Shapiro. "It’s Time to Give Up on Ending Social Media’s Misinformation Problem." The Atlantic (website) (March 22, 2024).
- March 2024
- Article
Being Together in Place as a Catalyst for Scientific Advance
By: Eamon Duede, Misha Teplitskiy, Karim R. Lakhani and James Evans
The COVID-19 pandemic necessitated social distancing at every level of society, including universities and research institutes, raising essential questions concerning the continuing importance of physical proximity for scientific and scholarly advance. Using customized...
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Duede, Eamon, Misha Teplitskiy, Karim R. Lakhani, and James Evans. "Being Together in Place as a Catalyst for Scientific Advance." Art. 104911. Research Policy 53, no. 2 (March 2024).
- 2024
- Working Paper
Choosing and Using Information in Evaluation Decisions
By: Katherine Baldiga Coffman, Scott Kostyshak and Perihan O. Saygin
Most studies of gender discrimination consider how male versus female candidates are assessed given otherwise identical information about them. But, in many settings of interest, evaluators have a choice about how much information to acquire about a candidate before...
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- 2024
- Book
Deals: The Economic Structure of Business Transactions
By: Guhan Subramanian and Michael Klausner
Drawing on real-life cases from a wide range of industries, two acclaimed experts offer a sophisticated but accessible guide to business deals, designed to maximize value for your side.
Business transactions take widely varying forms—from multibillion-dollar... View Details
Business transactions take widely varying forms—from multibillion-dollar... View Details
Subramanian, Guhan, and Michael Klausner. Deals: The Economic Structure of Business Transactions. Harvard University Press, 2024.
- March 2024
- Article
Differences in Care Team Response to Patient Portal Messages by Patient Race and Ethnicity
By: Mitchell Tang, Rebecca Mishuris, Lily Payvandi and Ariel Dora Stern
Importance: The COVID-19 pandemic was associated with substantial growth in patient portal messaging. Higher message volumes have largely persisted, reflecting a new normal. Prior work has documented lower message use by patients who belong to minoritized racial...
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Keywords:
Health Pandemics;
Technology Adoption;
Prejudice and Bias;
Equality and Inequality;
Communication Technology;
Race;
Ethnicity;
Health Industry
Tang, Mitchell, Rebecca Mishuris, Lily Payvandi, and Ariel Dora Stern. "Differences in Care Team Response to Patient Portal Messages by Patient Race and Ethnicity." JAMA Network Open 7, no. 3 (March 2024).
- March 2024
- Article
The Asymmetric Mispricing Information in Analysts’ Target Prices
By: Jeremiah Green, John R. M. Hand and Anywhere Sikochi
We study the mispricing information present in the target prices of U.S. and international analysts. We hypothesize that asymmetry in the value-relevance of the information that managers supply to analysts, combined with asymmetry in the incentives facing analysts to...
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Keywords:
Analysts;
Target Prices;
Mispricing;
Cost Of Equity;
Valuation;
Price;
Cost;
Analysis;
Theory
Green, Jeremiah, John R. M. Hand, and Anywhere Sikochi. "The Asymmetric Mispricing Information in Analysts’ Target Prices." Review of Accounting Studies 29, no. 1 (March 2024): 889–915.
- 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 2024
- Teaching Note
AB InBev: Brewing Up Forecasts during COVID-19
By: Mark Egan and C. Fritz Foley
Teaching Note for HBS Case No. 224-020. In July 2021, the CEO of AB InBev's European operations and his team strategized to position the company for success post-pandemic. As the world's largest beer company, boasting over 500 brands, revenue of $46 billion, and a...
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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 (Revised 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 2024
- Teaching Note
Data-Driven Denim: Financial Forecasting at Levi Strauss
By: Mark Egan
Teaching Note for HBS Case No. 224-029. Levi Strauss & Co. (“Levi Strauss”) partnered with the IT services company Wipro to incorporate more sophisticated methods, such as machine learning, into their financial forecasting process starting in 2018. The decision to...
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- February 2024
- Case
Does “Matter” Matter? Amazon and Open Standards in the Smart Home Industry
By: Frank Nagle
In early 2023, the smart home industry stood at a pivotal juncture. The recent launch of “Matter” version 1.0, an ambitious interoperability standard developed by the Connectivity Standards Alliance (CSA), promised to unify a fragmented market plagued by incompatible...
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Nagle, Frank. "Does “Matter” Matter? Amazon and Open Standards in the Smart Home Industry." Harvard Business School Case 724-431, 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).