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- January 2021
- Article
How Personality and Policy Predict Pandemic Behavior: Understanding Sheltering-in-Place in 55 Countries at the Onset of COVID-19
By: Friedrich M. Götz, Andrés Gvirtz, Adam D. Galinsky and Jon M. Jachimowicz
The spread of COVID-19 within any given country or community at the onset of the pandemic depended in part on the sheltering-in-place rate of its citizens. The pandemic led us to revisit one of psychology’s most fundamental and most basic questions in a high-stakes...
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- September 2020 (Revised December 2020)
- Exercise
Artea: Designing Targeting Strategies
By: Eva Ascarza and Ayelet Israeli
This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The...
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Keywords:
Algorithmic Data;
Race And Ethnicity;
Experimentation;
Promotion;
＂marketing Analytics＂;
Marketing And Society;
Big Data;
Privacy;
Data-driven Management;
Data Analytics;
Data Analysis;
E-commerce;
E-commerce Strategy;
Discrimination;
Targeted Advertising;
Targeted Policies;
Targeting;
Pricing Algorithms;
A/b Testing;
Ethical Decision Making;
Customer Base Analysis;
Customer Heterogeneity;
Coupons;
Marketing;
Race;
Gender;
Diversity;
Customer Relationship Management;
Marketing Communications;
Advertising;
Decision Making;
Ethics;
Retail Industry;
Apparel And Accessories Industry;
United States
- September 2020
- Exercise
Artea (B): Including Customer-level Demographic Data
By: Eva Ascarza and Ayelet Israeli
This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The...
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- September 2020
- Exercise
Artea (C): Potential Discrimination through Algorithmic Targeting
By: Eva Ascarza and Ayelet Israeli
This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The...
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- September 2020
- Exercise
Artea (D): Discrimination through Algorithmic Bias in Targeting
By: Eva Ascarza and Ayelet Israeli
This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The...
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- September 2020 (Revised December 2020)
- Teaching Note
Artea (A), (B), (C), and (D): Designing Targeting Strategies
By: Eva Ascarza and Ayelet Israeli
Teaching Note for HBS No. 521-021,521-022,521-037,521-043. This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and...
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- September 2020 (Revised December 2020)
- Supplement
Spreadsheet Supplement to Artea Teaching Note
By: Eva Ascarza and Ayelet Israeli
Spreadsheet Supplement to Artea Teaching Note 521-041. This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and...
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- 2020
- Chapter
Reserve Accumulation, Sovereign Debt, and Exchange Rate Policy
By: Laura Alfaro and Fabio Kanczuk
In the past decade, foreign participation in local-currency bond markets in emerging countries increased dramatically. Additionally, emerging countries are increasingly deviating from inflation targeting regimes, managing their exchange rate and engaging in...
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- June 18, 2020
- Article
What CEOs Still Haven't Said about Race and Policing
By: Aaron K. Chatterji and Michael W. Toffel
While many CEOs have spoken out to share their thoughts on race and police misconduct in America, they have yet to advocate for policy solutions for police reform, focusing instead on their own corporate and personal values. But lasting change must also involve ...
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- June 2020 (Revised October 2020)
- Case
Muddy Waters vs. eHealth: The Debate of a 'Lifetime'
By: Jonas Heese and Cristo Liautaud
In May 2020, an analyst was assessing eHealth’s performance. eHealth was an online / tele-sales broker of health insurance products. The stock had recently hit all-time highs, closing at a peak of $146 on March 4, 2020. But now, May 4, 2020, eHealth traded at $103. The...
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- 2020
- Working Paper
Social Interactions in Pandemics: Fear, Altruism, and Reciprocity
By: Laura Alfaro, Ester Faia, Nora Lamersdorf and Farzad Saidi
In SIR models, homogeneous or with a network structure, infection rates are assumed to be exogenous. However, individuals adjust their behavior. Using daily data for 89 cities worldwide, we document that mobility falls in response to fear, as approximated by Google...
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- 2019
- Chapter
Monetary Policy—‘Whatever It Takes within Our (New?) Mandate’
By: Huw Pill
This paper discusses whether the UK's monetary policy framework needs to be reviewed in the light of experience during and in the aftermath of the global financial crisis. It concludes that, while the inflation targeting framework has generally proved robust, the Bank...
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- June 2018
- Article
The Fed, the Bond Market, and Gradualism in Monetary Policy
By: Jeremy C. Stein and Adi Sunderam
We develop a model of monetary policy with two key features: (i) the central bank has some private information about its long-run target for the policy rate, and (ii) the central bank is averse to bond-market volatility. In this setting, discretionary monetary policy...
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- March 2018
- Teaching Note
Making Target the Target: Boycotts and Corporate Political Activity (A) and (B)
By: Nien-hê Hsieh and Victor Wu
Through the challenges facing Target, the case examines the ways in which corporations can become involved in political and legislative debates and processes, ranging from campaign contributions to lobbying. In 2016, Target CEO Brian Cornell must determine how to...
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Keywords:
Public Opinion;
Social Issues;
Corporate Social Responsibility And Impact;
Mission And Purpose;
Problems And Challenges;
Laws And Statutes;
Rights;
Crisis Management;
Risk Management;
Media;
Political Elections;
Taxation;
Corporate Accountability;
Values And Beliefs;
Fairness;
Diversity;
Customers;
Communication;
Business And Government Relations;
Retail Industry;
United States
- January 2018
- Supplement
BeiGene Supplemental PowerPoint
By: Willy C. Shih and Jimmy Zhang
BeiGene was a biopharmaceutical company founded on exploiting a temporal regulatory policy discontinuity. Because of regulatory challenges in China, most innovative new drugs launched there four to six years after their initial U.S. launches. This gave BeiGene a window...
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- Article
Default Neglect in Attempts at Social Influence
By: Julian Zlatev, David P. Daniels, Hajin Kim and Margaret A. Neale
Current theories suggest that people understand how to exploit common biases to influence others. However, these predictions have received little empirical attention. We consider a widely studied bias with special policy relevance: the default effect, which is the...
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- December 2017 (Revised November 2018)
- Case
Tesla: Financing Growth
By: Stuart C. Gilson and Sarah L. Abbott
The case analyzes the equity market value of Tesla Motors, the electric car company founded and led by Elon Musk. Wall Street analysts are wildly divided on the future growth prospects for this company, and analysts’ one year share price targets range from $160 to...
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- November 2017
- Case
BeiGene
By: Willy Shih and Jimmy Zhang
BeiGene was a biopharmaceutical company founded on exploiting a temporal regulatory policy discontinuity. Because of regulatory challenges in China, most innovative new drugs launched there four to six years after their initial U.S. launches. This gave BeiGene a window...
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- July 2017 (Revised September 2017)
- Case
GM's Capital Allocation Framework
By: C. Fritz Foley, F. Katelynn Boland and Michael Lemm
In March of 2015, General Motors announced the details of a newly established capital allocation framework. This framework provided a target for return on invested capital, guidelines for capital structure choices, and policies related to payouts. Senior managers face...
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- 2017
- Mimeo
Science for Society: Science and Technology Based Social Entrepreneurship
By: Tarun Khanna, Shashank Shah and Kundan Madireddy
This publication is an outcome of the team's research, engagement and interactions with over 25 science and technology-based social enterprises in India. It provides details on the research process, insightful outcomes and innovative impact.
Throughout the... View Details
Throughout the... View Details