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All HBS Web
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- Faculty Publications (303)
- May 2022
- Article
Complex Disclosure
By: Ginger Zhe Jin, Michael Luca and Daniel Martin
We present evidence that unnecessarily complex disclosure can result from strategic incentives to shroud information. In our lab experiment, senders are required to report their private information truthfully, but can choose how complex to make their reports. We find...
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Keywords:
Disclosure;
Experiments;
Naiveté;
Overconfidence;
Corporate Disclosure;
Policy;
Information;
Complexity;
Strategy;
Consumer Behavior
Jin, Ginger Zhe, Michael Luca, and Daniel Martin. "Complex Disclosure." Management Science 68, no. 5 (May 2022): 3236–3261.
- April 2022 (Revised August 2022)
- Case
Conflicts of Interest at Uptown Bank
By: Jonas Heese
In 2013, two employees debated whether to blow the whistle on their employer, Bell Bank, after completing an internal review that revealed undisclosed conflicts of interest. Bell Bank’s Asset Management business disproportionately invested clients’ money in Bell Bank’s...
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Keywords:
Whistleblower;
Whistleblowing;
Mutual Funds;
Conflicts Of Interest;
Decision Making;
Decisions;
Judgments;
Ethics;
Moral Sensibility;
Values and Beliefs;
Finance;
Financial Institutions;
Banks and Banking;
Financial Management;
Investment;
Investment Funds;
Governance;
Corporate Accountability;
Corporate Disclosure;
Corporate Governance;
Governance Compliance;
Governance Controls;
Policy;
Law;
Legal Liability;
Social Psychology;
Motivation and Incentives;
Perception;
Perspective;
Trust;
Financial Services Industry;
North and Central America;
United States
Heese, Jonas. "Conflicts of Interest at Uptown Bank." Harvard Business School Case 122-022, April 2022. (Revised August 2022.)
- April–June 2022
- Other Article
Commentary on 'Causal Decision Making and Causal Effect Estimation Are Not the Same... and Why It Matters'
There has been a substantial discussion in various methodological and applied literatures around causal inference; especially in the use of machine learning and statistical models to understand heterogeneity in treatment effects and to make optimal decision...
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Keywords:
Causal Inference;
Treatment Effect Estimation;
Treatment Assignment Policy;
Human-in-the-loop;
Decision Making;
Fairness
McFowland III, Edward. "Commentary on 'Causal Decision Making and Causal Effect Estimation Are Not the Same... and Why It Matters'." INFORMS Journal on Data Science 1, no. 1 (April–June 2022): 21–22.
- April 2022
- Article
Predictable Financial Crises
Using historical data on post-war financial crises around the world, we show that crises are substantially predictable. The combination of rapid credit and asset price growth over the prior three years, whether in the nonfinancial business or the household sector, is...
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Greenwood, Robin, Samuel G. Hanson, Andrei Shleifer, and Jakob Ahm Sørensen. "Predictable Financial Crises." Journal of Finance 77, no. 2 (April 2022): 863–921.
- 2022
- Working Paper
THEMIS: A Framework for Cost-Benefit Analysis of COVID-19 Non-Pharmaceutical Interventions
By: Dimitris Bertsimas, Michael Lingzhi Li and Saksham Soni
Since December 2019, the world has been ravaged by the COVID-19 pandemic, with over 150 million confirmed cases and 3 million confirmed deaths worldwide. To combat the spread of COVID-19, governments have issued unprecedented non-pharmaceutical interventions (NPIs),...
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Keywords:
COVID-19;
Health Pandemics;
Policy;
Framework;
Cost vs Benefits;
Outcome or Result;
United States;
Germany;
Brazil;
Singapore;
Spain
Bertsimas, Dimitris, Michael Lingzhi Li, and Saksham Soni. "THEMIS: A Framework for Cost-Benefit Analysis of COVID-19 Non-Pharmaceutical Interventions." Working Paper, April 2022.
- Article
Eliminating Unintended Bias in Personalized Policies Using Bias-Eliminating Adapted Trees (BEAT)
By: Eva Ascarza and Ayelet Israeli
An inherent risk of algorithmic personalization is disproportionate targeting of individuals from certain groups (or demographic characteristics such as gender or race), even when the decision maker does not intend to discriminate based on those “protected”... View Details
Keywords:
Algorithm Bias;
Personalization;
Targeting;
Generalized Random Forests (GRF);
Discrimination;
Customization and Personalization;
Decision Making;
Fairness;
Mathematical Methods
Ascarza, Eva, and Ayelet Israeli. "Eliminating Unintended Bias in Personalized Policies Using Bias-Eliminating Adapted Trees (BEAT)." e2115126119. Proceedings of the National Academy of Sciences 119, no. 11 (March 8, 2022).
- 2022
- Book
Legacy of Violence: A History of the British Empire
Sprawling across a quarter of the world’s land mass and claiming nearly seven hundred million people, Britain’s twentieth-century empire was the largest empire in human history. For many Britons, it epitomized their nation’s cultural superiority, but what legacy did...
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Keywords:
Imperialism;
Violence;
Colonialism;
History;
Government and Politics;
Power and Influence;
Race;
Policy;
United Kingdom
Elkins, Caroline M. Legacy of Violence: A History of the British Empire. New York, NY: Alfred A. Knopf, 2022.
- February 2022
- Case
CityScore: Big Data Comes to Boston
By: Boris Groysberg and Sarah L. Abbott
In 2016, Martin “Marty” Walsh, the Mayor of Boston, introduced CityScore, a data dashboard that measured the city’s progress across a range of metrics. The dashboard was updated daily and publicly available. The mayor frequently discussed the CityScore targets in...
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Keywords:
Analytics and Data Science;
Government Administration;
Leadership;
Transformation;
City;
Measurement and Metrics;
Public Administration Industry;
Boston;
United States
Groysberg, Boris, and Sarah L. Abbott. "CityScore: Big Data Comes to Boston." Harvard Business School Case 422-050, February 2022.
- February 2022 (Revised March 2022)
- Case
MicroStrategy's Investment in Bitcoin
By: C. Fritz Foley
At the end of the second quarter of 2020, MicroStrategy, a Virginia based provider of analytics software and services, announced plans to acquire and hold bitcoin as a part of the firm’s treasury reserve policy and corporate strategy. Within a year, the firm purchased...
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Foley, C. Fritz. "MicroStrategy's Investment in Bitcoin." Harvard Business School Case 222-048, February 2022. (Revised March 2022.)
- March 1, 2022
- Article
Widespread Use of National Academies Consensus Reports by the American Public
By: Diana Hicks, Matteo Zullo, Ameet Doshi and Omar Isaac Asensio
In seeking to understand how to protect the public information sphere from corruption, researchers understandably focus on dysfunction. However, parts of the public information ecosystem function very well, and understanding this as well will help in protecting and...
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Keywords:
Reports;
Surveys;
AI and Machine Learning;
Knowledge Dissemination;
Knowledge Use and Leverage
Hicks, Diana, Matteo Zullo, Ameet Doshi, and Omar Isaac Asensio. "Widespread Use of National Academies Consensus Reports by the American Public." e2107760119. Proceedings of the National Academy of Sciences 119, no. 9 (March 1, 2022).
- January 2022
- Teaching Plan
Just Arrived: Integrating Refugees in Sweden
By: Brian Trelstad and Emilie Billaud
Teaching Plan for HBS Case No. 321-040. Just Arrived is an online platform that matches newly-arrived immigrants in Sweden with employment opportunities. As one of several for-profit and non-profit start-ups in Europe that is looking to address the refugee crisis, the...
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- 2022
- Case
Polarizing Government Work: McKinsey & Co. and Immigration and Customs Enforcement (ICE)
When Donald Trump announced his run for president in 2015, he placed immigration front and center in his campaign. He promised to drastically expand U.S. Immigration and Customs Enforcement (ICE), end Deferred Action for Childhood Arrivals (DACA), and build a border...
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Hoffman, Andrew J. "Polarizing Government Work: McKinsey & Co. and Immigration and Customs Enforcement (ICE)." William Davidson Institute Case 3-951-926, 2022.
- Article
Megastudies Improve the Impact of Applied Behavioural Science
By: Katherine L. Milkman, Dena Gromet, Hung Ho, Joseph S. Kay, Timothy W. Lee, Pepi Pandiloski, Yeji Park, Aneesh Rai, Max Bazerman, John Beshears, Lauri Bonacorsi, Colin Camerer, Edward Chang, Gretchen Chapman, Robert Cialdini, Hengchen Dai, Lauren Eskreis-Winkler, Ayelet Fishbach, James J. Gross, Samantha Horn, Alexa Hubbard, Steven J. Jones, Dean Karlan, Tim Kautz, Erika Kirgios, Joowon Klusowski, Ariella Kristal, Rahul Ladhania, Jens Ludwig, George Loewenstein, Barbara Mellers, Sendhil Mullainathan, Silvia Saccardo, Jann Spiess, Gaurav Suri, Joachim H. Talloen, Jamie Taxer, Yaacov Trope, Lyle Ungar, Kevin G. Volpp, Ashley V. Whillans, Jonathan Zinman and Angela L. Duckworth
Policy-makers are increasingly turning to behavioural science for insights about how to improve citizens’ decisions and outcomes. Typically, different scientists test different intervention ideas in different samples using different outcomes over different time...
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Milkman, Katherine L., Dena Gromet, Hung Ho, Joseph S. Kay, Timothy W. Lee, Pepi Pandiloski, Yeji Park, Aneesh Rai, Max Bazerman, John Beshears, Lauri Bonacorsi, Colin Camerer, Edward Chang, Gretchen Chapman, Robert Cialdini, Hengchen Dai, Lauren Eskreis-Winkler, Ayelet Fishbach, James J. Gross, Samantha Horn, Alexa Hubbard, Steven J. Jones, Dean Karlan, Tim Kautz, Erika Kirgios, Joowon Klusowski, Ariella Kristal, Rahul Ladhania, Jens Ludwig, George Loewenstein, Barbara Mellers, Sendhil Mullainathan, Silvia Saccardo, Jann Spiess, Gaurav Suri, Joachim H. Talloen, Jamie Taxer, Yaacov Trope, Lyle Ungar, Kevin G. Volpp, Ashley V. Whillans, Jonathan Zinman, and Angela L. Duckworth. "Megastudies Improve the Impact of Applied Behavioural Science." Nature 600, no. 7889 (December 16, 2021): 478–483.
- Article
A Prescriptive Analytics Framework for Optimal Policy Deployment Using Heterogeneous Treatment Effects
By: Edward McFowland III, Sandeep Gangarapu, Ravi Bapna and Tianshu Sun
We define a prescriptive analytics framework that addresses the needs of a constrained decision-maker facing, ex ante, unknown costs and benefits of multiple policy levers. The framework is general in nature and can be deployed in any utility maximizing context, public...
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Keywords:
Prescriptive Analytics;
Heterogeneous Treatment Effects;
Optimization;
Observed Rank Utility Condition (OUR);
Between-treatment Heterogeneity;
Machine Learning;
Decision Making;
Analysis;
Mathematical Methods
McFowland III, Edward, Sandeep Gangarapu, Ravi Bapna, and Tianshu Sun. "A Prescriptive Analytics Framework for Optimal Policy Deployment Using Heterogeneous Treatment Effects." MIS Quarterly 45, no. 4 (December 2021): 1807–1832.
- November 2021
- Article
A Salient Sugar Tax Decreases Sugary Drink Buying
By: Grant E. Donnelly, Paige Guge, Ryan Howell and Leslie John
Many governments have introduced sugary drink excise taxes to reduce purchasing and consumption of such drinks; however, they do not typically stipulate how such taxes should be communicated at point-of-purchase. Historical, field, and experimental data entailing over...
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Keywords:
Decision-making;
Open Data;
Open Materials;
Preregistered;
Health;
Policy;
Taxation;
Consumer Behavior;
Decision Making
Donnelly, Grant E., Paige Guge, Ryan Howell, and Leslie John. "A Salient Sugar Tax Decreases Sugary Drink Buying." Psychological Science 32, no. 11 (November 2021): 1830–1841.
- November 2021
- Article
The Nixon Doctrine and the Making of Authoritarianism in Island Southeast Asia
By: Mattias Fibiger
This article argues that the Nixon Doctrine was an instrument of authoritarianization in island Southeast Asia. It traces the formulation of the Nixon Doctrine and its implementation through foreign aid decisions, revealing that President Richard Nixon and his chief...
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Keywords:
Diplomacy;
Foreign Aid;
Authoritarianism;
Geopolitics;
Nixon;
International Relations;
Policy;
History;
Southeast Asia;
United States
Fibiger, Mattias. "The Nixon Doctrine and the Making of Authoritarianism in Island Southeast Asia." Diplomatic History 45, no. 5 (November 2021): 954–982.
- 2023
- Working Paper
The Value of Professional Ties in B2B Markets
By: Navid Mojir and Sriya Anbil
We study how a particular form of social ties (i.e., professional ties proxied by past employment) affects price and profitability in business-to-business (B2B) markets. While most of the work on social ties focuses on information diffusion in business-to-consumer...
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Keywords:
Professional Ties;
Social Ties;
Business-to-business Marketing;
B2B Marketing;
Repo;
Individual Connections;
B2B Pricing;
Pricing;
Decision-making In Financial Markets;
Marketing;
Relationships;
Price;
Financial Markets;
Decision Making
Mojir, Navid, and Sriya Anbil. "The Value of Professional Ties in B2B Markets." Harvard Business School Working Paper, No. 22-037, November 2021. (Revised September 2023.)
- October 2021 (Revised February 2022)
- Case
Green Hydrogen in Chile
By: Tarun Khanna, Jenyfeer Martínez Buitrago and Mariana Cal
In 2020, the Chilean government wants to promote green hydrogen, a technology with high potential to help mitigate climate change. President Sebastián Piñera, aware of the country's advantages to produce green hydrogen competitively, asks Energy Minister Juan Carlos...
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Keywords:
COVID-19 Pandemic;
Decision Making;
Alternative Energy;
Renewable Energy;
Climate Change;
Environmental Sustainability;
Green Technology;
Financial Instruments;
Energy Policy;
Government Administration;
Strategy;
Government and Politics;
Social Issues;
Energy Industry;
Latin America;
South America;
Chile
Khanna, Tarun, Jenyfeer Martínez Buitrago, and Mariana Cal. "Green Hydrogen in Chile." Harvard Business School Case 722-361, October 2021. (Revised February 2022.)
- March 2021 (Revised May 2021)
- Case
ALDDN: Advancing Local Dairy Development in Nigeria
By: Meg Rithmire and Debora L. Spar
In 2020, Ndidi Nwuneli, founder and CEO of Sahel Consulting in Nigeria, faced a thorny set of problems. Her firm partnered with the Bill and Melinda Gates Foundation in a large project to develop the local dairy industry as a way to facilitate equitable growth and...
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Keywords:
Animal-Based Agribusiness;
Food;
Rural Scope;
Growth and Development;
Nonprofit Organizations;
Globalized Markets and Industries;
Business and Government Relations;
Equality and Inequality;
Food and Beverage Industry;
Consulting Industry;
Nigeria
Rithmire, Meg, and Debora L. Spar. "ALDDN: Advancing Local Dairy Development in Nigeria." Harvard Business School Case 721-026, March 2021. (Revised May 2021.)
- March 2021
- Supplement
Snapp: Scaling Under Sanctions in Iran (B)
By: Meg Rithmire and Gamze Yucaoglu
The case opens in November 2020 as Eyad Alkassar and Mahmoud Fouz, co-founders of Iran’s first and leading ride-hailing platform, Snapp, eagerly await the results of the U.S. presidential elections.
The case takes us through the challenging times between... View Details
The case takes us through the challenging times between... View Details
Keywords:
Sanctions;
Change Management;
Disruption;
Volatility;
Decision Choices and Conditions;
Cross-Cultural and Cross-Border Issues;
Government and Politics;
International Relations;
National Security;
Crisis Management;
Risk Management;
Health Pandemics;
Transportation Industry;
Middle East;
Iran
Rithmire, Meg, and Gamze Yucaoglu. "Snapp: Scaling Under Sanctions in Iran (B)." Harvard Business School Supplement 721-036, March 2021.