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- June 2023
- Simulation
Artea Dashboard and Targeting Policy Evaluation
By: Ayelet Israeli and Eva Ascarza
Companies deploy A/B experiments to gain valuable insights about their customers in order to answer strategic business problems. In marketing, A/B tests are often used to evaluate marketing interventions intended to generate incremental outcomes for the firm. The Artea...
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Keywords:
Algorithm Bias;
Algorithmic Data;
Race And Ethnicity;
Experimentation;
Promotion;
Marketing And Society;
Big Data;
Privacy;
Data-driven Management;
Data Analysis;
Data Analytics;
E-Commerce Strategy;
Discrimination;
Targeted Advertising;
Targeted Policies;
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;
E-commerce;
Analytics and Data Science;
Retail Industry;
Apparel and Accessories Industry;
United States
- April 2023
- Article
Racial Inequality in Work Environments
By: Letian Zhang
This article explores racial stratification in work environments. Inequality scholars have long identified racial disparities in wage and occupational attainment, but workers’ careers and well-being are also shaped by elements of their work environment, including firm...
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Keywords:
Discrimination;
Race;
Equality and Inequality;
Working Conditions;
Personal Development and Career;
Organizational Culture
Zhang, Letian. "Racial Inequality in Work Environments." American Sociological Review 88, no. 2 (April 2023): 252–283.
- March 2023
- Article
Reaching for Rigor and Relevance: Better Marketing Research for a Better World
By: Shilpa Madan, Gita Venkataramani Johar, Jonah Berger, Pierre Chandon, Rajesh Chandy, Rebecca Hamilton, Leslie John, Aparna Labroo, Peggy J. Liu, John G. Lynch, Nina Mazar, Nicole Mead, Vikas Mittal, Christine Moorman, Michael I. Norton, John Roberts, Dilip Soman, Madhu Viswanathan and Katherine White
Over the past several decades, scholars have highlighted the obligations and opportunities for marketing as a discipline to play a role in creating a better world — or risk becoming irrelevant for the largest problems facing consumers and society. Climate change,...
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Keywords:
COVID-19 Pandemic;
Marketing;
Social Issues;
Corporate Social Responsibility and Impact;
Business and Community Relations;
Research
Madan, Shilpa, Gita Venkataramani Johar, Jonah Berger, Pierre Chandon, Rajesh Chandy, Rebecca Hamilton, Leslie John, Aparna Labroo, Peggy J. Liu, John G. Lynch, Nina Mazar, Nicole Mead, Vikas Mittal, Christine Moorman, Michael I. Norton, John Roberts, Dilip Soman, Madhu Viswanathan, and Katherine White. "Reaching for Rigor and Relevance: Better Marketing Research for a Better World." Marketing Letters 34, no. 1 (March 2023): 1–12.
- December 2022
- Article
Different Roots, Different Fruits: Gender-Based Differences in Cultural Narratives about Perceived Discrimination Produce Divergent Psychological Consequences
By: Leigh Plunkett Tost, Ashley E. Hardin and Francesca Gino
We examine whether narratives about, and the psychological consequences of, perceived gender discrimination differ between women and men. We argue that women and men have different dominant narratives about the reasons why people discriminate against people of their...
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Tost, Leigh Plunkett, Ashley E. Hardin, and Francesca Gino. "Different Roots, Different Fruits: Gender-Based Differences in Cultural Narratives about Perceived Discrimination Produce Divergent Psychological Consequences." Academy of Management Journal 65, no. 6 (December 2022): 1804–1834.
- 2022
- Working Paper
Improving Human-Algorithm Collaboration: Causes and Mitigation of Over- and Under-Adherence
By: Maya Balakrishnan, Kris Ferreira and Jordan Tong
Even if algorithms make better predictions than humans on average, humans may sometimes have “private” information which an algorithm does not have access to that can improve performance. How can we help humans effectively use and adjust recommendations made by...
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Keywords:
Cognitive Biases;
Algorithm Transparency;
Forecasting and Prediction;
Behavior;
AI and Machine Learning;
Analytics and Data Science;
Cognition and Thinking
Balakrishnan, Maya, Kris Ferreira, and Jordan Tong. "Improving Human-Algorithm Collaboration: Causes and Mitigation of Over- and Under-Adherence." Working Paper, December 2022.
- 2022
- Working Paper
Politics at Work
By: Emanuele Colonnelli, Valdemar Pinho Neto and Edoardo Teso
We study how individual political views shape firm behavior and labor market outcomes. Using new micro-data on the political affiliation of business owners and private-sector workers in Brazil over the 2002–2019 period, we first document the presence of political...
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- 2022
- Article
A Human-Centric Take on Model Monitoring
By: Murtuza Shergadwala, Himabindu Lakkaraju and Krishnaram Kenthapadi
Predictive models are increasingly used to make various consequential decisions in high-stakes domains such as healthcare, finance, and policy. It becomes critical to ensure that these models make accurate predictions, are robust to shifts in the data, do not rely on...
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Shergadwala, Murtuza, Himabindu Lakkaraju, and Krishnaram Kenthapadi. "A Human-Centric Take on Model Monitoring." Proceedings of the AAAI Conference on Human Computation and Crowdsourcing (HCOMP) 10 (2022): 173–183.
- October 10, 2022
- Article
Ensuring Your Products Aren’t Used for Discrimination
By: Michael Luca, Elizaveta Pronkina and Michaelangelo Rossi
Discrimination is both a societal and a business issue. And, the extent to which discrimination is allowed to affect a company is a decision that is made by business leaders. Fortunately, there is a growing toolkit for leaders who want to create a more inclusive...
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Luca, Michael, Elizaveta Pronkina, and Michaelangelo Rossi. "Ensuring Your Products Aren’t Used for Discrimination." Harvard Business Review Digital Articles (October 10, 2022).
- September 2022
- Case
Deciding When to Engage on Societal Issues
By: Hubert Joly and Amram Migdal
This case provides brief descriptions of 18 examples of corporate leaders confronting questions of whether and how to engage with societal issues, including social, political, and environmental issues. Social issues include COVID-19; social and racial justice;...
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Keywords:
Political Issues;
Social Justice;
Racial Justice;
Environmental Issues;
Social Issues;
Corporate Social Responsibility and Impact;
Values and Beliefs
Joly, Hubert, and Amram Migdal. "Deciding When to Engage on Societal Issues." Harvard Business School Case 523-045, September 2022.
- September 2022
- Article
Tone at the Bottom: Measuring Corporate Misconduct Risk from the Text of Employee Reviews
By: Dennis W. Campbell and Ruidi Shang
This paper examines whether information extracted via text-based statistical methods applied to employee reviews left on the website Glassdoor.com can be used to develop indicators of corporate misconduct risk. We argue that inside information on the incidence of...
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Keywords:
Management Accounting;
Management Control;
Corporate Culture;
Corporate Misconduct;
Risk Measurement;
Organizational Culture;
Crime and Corruption;
Risk and Uncertainty;
Measurement and Metrics
Campbell, Dennis W., and Ruidi Shang. "Tone at the Bottom: Measuring Corporate Misconduct Risk from the Text of Employee Reviews." Management Science 68, no. 9 (September 2022): 7034–7053.
- August 2022 (Revised January 2023)
- Supplement
Racial Discrimination on Airbnb (B)
By: Michael Luca and Stacy Straaberg
The (B) case picks up following the events of the (A) case, and outlines the steps Airbnb took to address racial discrimination on its platform.
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Luca, Michael, and Stacy Straaberg. "Racial Discrimination on Airbnb (B)." Harvard Business School Supplement 923-004, August 2022. (Revised January 2023.)
- 2023
- Working Paper
Scapegoating and Discrimination in Times of Crisis: Evidence from Airbnb
By: Michael Luca, Elizaveta Pronkina and Michelangelo Rossi
We present evidence that discrimination against Asian-American Airbnb users sharply increased at the
start of the COVID-19 pandemic. Using a DiD approach, we find that hosts with distinctively Asian
names experienced a 20 percent decline in guests relative to hosts...
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Keywords:
Discrimination;
Behavioral Economics;
Market Design;
Health Pandemics;
Prejudice and Bias;
Digital Platforms;
Design
Luca, Michael, Elizaveta Pronkina, and Michelangelo Rossi. "Scapegoating and Discrimination in Times of Crisis: Evidence from Airbnb." Harvard Business School Working Paper, No. 23-012, August 2022. (Revised March 2023.)
- June 18, 2022
- Article
In Defense of Online Anonymity
By: Michael Luca
Lack of transparency on the internet may help fuel toxic dialogue, but it also encourages honest feedback and protects people against discrimination
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Luca, Michael. "In Defense of Online Anonymity." Wall Street Journal (June 18, 2022).
- May 2022
- Article
When Harry Fired Sally: The Double Standard in Punishing Misconduct
By: Mark Egan, Gregor Matvos and Amit Seru
We examine gender differences in misconduct punishment in the financial advisory industry. We find evidence of a “gender punishment gap”: following an incident of misconduct, female advisers are 20% more likely to lose their jobs and 30% less likely to find new jobs...
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Keywords:
Financial Advisers;
Brokers;
Gender Discrimination;
Consumer Finance;
Financial Misconduct And Fraud;
FINRA;
Financial Institutions;
Employees;
Crime and Corruption;
Gender;
Prejudice and Bias;
Personal Finance;
Financial Services Industry
Egan, Mark, Gregor Matvos, and Amit Seru. "When Harry Fired Sally: The Double Standard in Punishing Misconduct." Journal of Political Economy 130, no. 5 (May 2022): 1184–1248.
- April 2022
- Case
Marsha Simms: Trailblazer in Corporate Law
By: Robin Ely, Boris Groysberg, Colleen Ammerman and Olivia Hull
Follows the journey of lawyer Marsha Simms from her childhood in racially-segregated St. Louis to the upper echelons of the New York legal community. Describes her education, career choices, accomplishments, and setbacks. Highlights significant moments such as her...
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Keywords:
Leadership;
Career;
Career Management;
Diversity;
Inclusion;
Equity;
Gender;
Race;
Corporate Finance;
Law;
Leadership Development;
Personal Development and Career;
Relationships;
Power and Influence;
Social and Collaborative Networks;
Status and Position;
Social Issues;
Legal Services Industry;
United States;
New York (state, US)
Ely, Robin, Boris Groysberg, Colleen Ammerman, and Olivia Hull. "Marsha Simms: Trailblazer in Corporate Law." Harvard Business School Case 422-012, April 2022.
- 2022
- Other Teaching and Training Material
Organizational Behavior Reading: Managing Differences
By: Robin Ely and Colleen Ammerman
This reading provides principles and practices managers can draw upon to leverage differences in social identities - such as gender and race - to create more effective work relationships, teams, and organizations. The Essential Reading's first section draws upon...
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Keywords:
Diversity;
Groups and Teams;
Prejudice and Bias;
Identity;
Management Practices and Processes
Ely, Robin, and Colleen Ammerman. "Organizational Behavior Reading: Managing Differences." Core Curriculum Readings Series. Boston, MA: Harvard Business Publishing 8394, 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).
- Article
How Market Power Affects Dynamic Pricing: Evidence from Inventory Fluctuations at Car Dealerships
By: Ayelet Israeli, Fiona Scott-Morton, Jorge Silva-Risso and Florian Zettelmeyer
This paper investigates empirically the effect of market power on dynamic pricing in the presence of inventories. Our setting is the auto retail industry; we analyze how automotive dealerships adjust prices to inventory levels under varying degrees of market power. We...
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Keywords:
Dynamic Pricing;
Market Power;
Pricing;
Price Discrimination;
Inventory Production;
Marketing;
Price;
Competitive Strategy;
Auto Industry;
Retail Industry
Israeli, Ayelet, Fiona Scott-Morton, Jorge Silva-Risso, and Florian Zettelmeyer. "How Market Power Affects Dynamic Pricing: Evidence from Inventory Fluctuations at Car Dealerships." Management Science 68, no. 2 (February 2022): 895–916.
- 2021
- Working Paper
Racial Disparities in the Paycheck Protection Program
By: Sergey Chernenko and David S. Scharfstein
Using a large sample of Florida restaurants, we document significant racial disparities in borrowing through the Paycheck Protection Program (PPP) and investigate the causes of these disparities. Black-owned restaurants are 25% less likely to receive PPP loans....
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Keywords:
Discrimination;
Paycheck Protection Program;
Economic Injury Disaster Loans;
Bank Lending;
Nonbank Lending;
Banks and Banking;
Financing and Loans;
Prejudice and Bias;
Race
Chernenko, Sergey, and David S. Scharfstein. "Racial Disparities in the Paycheck Protection Program." SSRN Working Paper Series, August 2021. (NBER Working Paper Series, No. 29748, February 2022.)
- Article
Pattern Detection in the Activation Space for Identifying Synthesized Content
By: Celia Cintas, Skyler Speakman, Girmaw Abebe Tadesse, Victor Akinwande, Edward McFowland III and Komminist Weldemariam
Generative Adversarial Networks (GANs) have recently achieved unprecedented success in photo-realistic image synthesis from low-dimensional random noise. The ability to synthesize high-quality content at a large scale brings potential risks as the generated samples may...
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Cintas, Celia, Skyler Speakman, Girmaw Abebe Tadesse, Victor Akinwande, Edward McFowland III, and Komminist Weldemariam. "Pattern Detection in the Activation Space for Identifying Synthesized Content." Pattern Recognition Letters 153 (January 2022): 207–213.