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      • Faculty Publications  (108)

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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...  View Details
      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
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      Israeli, Ayelet, and Eva Ascarza. "Artea Dashboard and Targeting Policy Evaluation." Harvard Business School Simulation 523-707, June 2023.
      • 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...  View Details
      Keywords: Discrimination; Race; Equality and Inequality; Working Conditions; Personal Development and Career; Organizational Culture
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      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,...  View Details
      Keywords: COVID-19 Pandemic; Marketing; Social Issues; Corporate Social Responsibility and Impact; Business and Community Relations; Research
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      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...  View Details
      Keywords: Gender Discrimination; Organizations; Prejudice and Bias; Gender; Perception
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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...  View Details
      Keywords: Cognitive Biases; Algorithm Transparency; Forecasting and Prediction; Behavior; AI and Machine Learning; Analytics and Data Science; Cognition and Thinking
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      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...  View Details
      Keywords: Private Sector; Employees; Prejudice and Bias; Brazil
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      Colonnelli, Emanuele, Valdemar Pinho Neto, and Edoardo Teso. "Politics at Work." Working Paper, December 2022.
      • 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...  View Details
      Keywords: AI and Machine Learning; Research and Development; Demand and Consumers
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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...  View Details
      Keywords: Social Issues; Leading Change; Prejudice and Bias
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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;...  View Details
      Keywords: Political Issues; Social Justice; Racial Justice; Environmental Issues; Social Issues; Corporate Social Responsibility and Impact; Values and Beliefs
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      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...  View Details
      Keywords: Management Accounting; Management Control; Corporate Culture; Corporate Misconduct; Risk Measurement; Organizational Culture; Crime and Corruption; Risk and Uncertainty; Measurement and Metrics
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      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.  View Details
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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...  View Details
      Keywords: Discrimination; Behavioral Economics; Market Design; Health Pandemics; Prejudice and Bias; Digital Platforms; Design
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      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  View Details
      Keywords: Transparency; Anonymity; Honesty; Social Media; Prejudice and Bias
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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...  View Details
      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
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      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...  View Details
      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)
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      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...  View Details
      Keywords: Diversity; Groups and Teams; Prejudice and Bias; Identity; Management Practices and Processes
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      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
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      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...  View Details
      Keywords: Dynamic Pricing; Market Power; Pricing; Price Discrimination; Inventory Production; Marketing; Price; Competitive Strategy; Auto Industry; Retail Industry
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      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....  View Details
      Keywords: Discrimination; Paycheck Protection Program; Economic Injury Disaster Loans; Bank Lending; Nonbank Lending; Banks and Banking; Financing and Loans; Prejudice and Bias; Race
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      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...  View Details
      Keywords: Subset Scanning; Generative Models; Synthetic Content Detection
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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.
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