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Publications
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- 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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- 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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- 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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- 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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- 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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- 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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- 2022
- 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 12 percent decline in guests relative to...
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- 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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- 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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- 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)
- 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
- 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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- 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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- 2021
- Working Paper
Scared Straight? Threat and Assimilation of Refugees in Germany
By: Philipp Jaschke, Sulin Sardoschau and Marco Tabellini
This paper studies the effects of local threat on cultural and economic assimilation of refugees, exploiting plausibly exogenous variation in their allocation across German regions between 2013 and 2016. We combine novel survey data on cultural preferences and economic...
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Keywords:
Assimilation;
Threat Hypothesis;
Migration;
Cultural Change;
Refugees;
Culture;
Identity;
Germany
- Winter 2021
- Article
Mobile Internet Usage and Usage-based Pricing
By: Jeffrey Prince and Shane Greenstein
Using data on mobile Internet usage of thousands of individuals, we provide some of the first analyses linking mobile usage to key demographics such as income. We find a reverse-U relationship between mobile Internet usage and income—notably different than the...
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- Article
Fighting Bias on the Front Lines
By: Alexandra C. Feldberg and Tami Kim
Most companies aim for exceptional customer service, but too few are attentive to the subtle discrimination by frontline employees that can alienate customers, lead to lawsuits, or even cause lasting brand damage by going viral.
This article presents research... View Details
This article presents research... View Details
- September–October 2021
- Article
Frontiers: Can an AI Algorithm Mitigate Racial Economic Inequality? An Analysis in the Context of Airbnb
By: Shunyuan Zhang, Nitin Mehta, Param Singh and Kannan Srinivasan
We study the effect of Airbnb’s smart-pricing algorithm on the racial disparity in the daily revenue earned by Airbnb hosts. Our empirical strategy exploits Airbnb’s introduction of the algorithm and its voluntary adoption by hosts as a quasi-natural experiment. Among...
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- September 2021
- Case
Francoise Brougher (A)
By: Edward H. Chang, Nour Kteily and Kathleen McGinn
Francoise Brougher was a high-powered technology executive in Silicon Valley. After successful stints at Google (where she rose to lead a $16 billion ad sales business) and Square (which she helped take public), she joined Pinterest as its first Chief Operating Officer...
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- September 2021
- Article
Joint Problem-solving Orientation in Fluid Cross-boundary Teams
By: Michaela J. Kerrissey, Anna T. Mayo and Amy C. Edmondson
Using interviews, a national field survey, and an online laboratory study, we have examined teamwork in fluid cross-boundary teams. Across three studies, we qualitatively discovered and quantitatively explored "joint problem-solving orientation" as a new team factor....
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- August 2021
- Case
Zoom Video Communications: Building a Culture of Diversity, Equity, & Inclusion During COVID-19
By: Karen G. Mills, Scott Duke Kominers, Christopher Stanton, Andy Wu, George Gonzalez and Gabriella Elanbeck
Keywords:
Diversity Management;
Diversity Training;
Cultural Change;
Cultural Diversity;
Inclusion;
Inclusive Growth;
Inclusive Hiring;
Hiring;
Hiring Of Employees;
Recruiting;
Performance Management;
Change Leadership;
Race And Ethnicity;
Racial Bias;
Racial Disparity;
Racial Injustice;
Racial Tensions;
Racism;
Organization;
Organization Process;
Organization Structure;
Structural/institutional Racism;
Leadership And Change Management;
Leadership And Managing People;
Leading;
Gender Bias;
Discrimination;
Inequalities;
Inequality;
Social Change;
Employee Attitude Development And Empowerment;
Employee Bonding;
Employee Empowerment;
Employee Engagement;
Employee Fairness;
Employee Morale;
Employee Performance Management;
Employee Relations;
Company Culture;
Company Values;
Values;
COVID-19 Pandemic;
Demographics;
Diversity;
Age;
Ethnicity;
Gender;
Business Processes;
Change Management;
Change;
Race;
Human Capital;
Human Resources;
Compensation and Benefits;
Employees;
Employee Relationship Management;
Recruitment;
Retention;
Selection and Staffing;
Jobs and Positions;
Job Interviews;
Leadership;
Leading Change;
Management;
Management Teams;
Business or Company Management;
Crisis Management;
Goals and Objectives;
Growth and Development;
Growth and Development Strategy;
Growth Management;
Management Style;
Organizational Change and Adaptation;
Organizational Culture;
Organizational Design;
Organizational Structure;
Organizations;
Mission and Purpose;
Culture;
Happiness;
Prejudice and Bias;
Satisfaction;
Equity;
Identity;
Leadership Style;
Values and Beliefs;
Technology Industry;
United States