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  • All HBS Web  (502)
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    • Research  (289)
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Show Results For

  • All HBS Web  (502)
    • News  (119)
    • Research  (289)
    • Events  (8)
    • Multimedia  (12)
  • Faculty Publications  (168)
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  • 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).
  • 2020
  • Working Paper

(When) Does Appearance Matter? Evidence from a Randomized Controlled Trial

By: Prithwiraj Choudhury, Tarun Khanna, Christos A. Makridis and Subhradip Sarker
While there is evidence about labor market discrimination based on race, religion, and gender, we know little about whether physical appearance leads to discrimination in labor market outcomes. We deploy a randomized experiment on 1,000 respondents in India between... View Details
Keywords: Behavioral Economics; Coronavirus; Discrimination; Homophily; Labor Market Mobility; Limited Attention; Resumes; Personal Characteristics; Prejudice and Bias
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Choudhury, Prithwiraj, Tarun Khanna, Christos A. Makridis, and Subhradip Sarker. "(When) Does Appearance Matter? Evidence from a Randomized Controlled Trial." Harvard Business School Working Paper, No. 21-038, September 2020.
  • December 2019
  • Article

The Impact of Increasing Search Frictions on Online Shopping Behavior: Evidence from a Field Experiment

By: Donald Ngwe, Kris J. Ferreira and Thales Teixeira
Many online stores are designed such that shoppers can easily access any available discounted products. We propose that deliberately increasing search frictions by placing small obstacles to locating discounted items can improve online retailers’ margins and even... View Details
Keywords: Online Retailing; Friction; Effor; Search Costs; Price Discrimination; Marketing; Consumer Behavior; Strategy; Price; E-commerce; Retail Industry; Fashion Industry
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Ngwe, Donald, Kris J. Ferreira, and Thales Teixeira. "The Impact of Increasing Search Frictions on Online Shopping Behavior: Evidence from a Field Experiment." Journal of Marketing Research (JMR) 56, no. 6 (December 2019): 944–959.
  • March 2018 (Revised November 2018)
  • Case

Managing Religion in the Workplace: Abercrombie & Fitch and Masterpiece Cakeshop

By: Derek van Bever
Challenges related to managing religion in the workplace are on the rise, as are religious discrimination claims and monetary settlements, in the United States and around the world. This case examines two incidents of alleged religious discrimination that made their... View Details
Keywords: Religious Discrimination; First Amendment; Religious Freedom Restoration Act; Business Ethics; Religion And Business; Management; EEOC; Ethics; Religion; Conflict Management; Retail Industry; United States
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van Bever, Derek. "Managing Religion in the Workplace: Abercrombie & Fitch and Masterpiece Cakeshop." Harvard Business School Case 318-127, March 2018. (Revised November 2018.)
  • Article

A Fair Game? Racial Bias and Repeated Interaction between NBA Coaches and Players

By: Letian Zhang
There is strong evidence of racial bias in organizations but little understanding of how it changes with repeated interaction. This study proposes that repeated interaction has the potential to reduce racial bias, but its moderating effects are limited to the treatment... View Details
Keywords: Discrimination; Bias; Interaction; NBA; Prejudice and Bias; Race; Equality and Inequality; Interpersonal Communication; Sports
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Zhang, Letian. "A Fair Game? Racial Bias and Repeated Interaction between NBA Coaches and Players." Administrative Science Quarterly 62, no. 4 (December 2017): 603–625.
  • Article

Repairing the Damage: The Effect of Price Knowledge and Gender on Auto-Repair Price Quotes

By: Meghan Busse, Ayelet Israeli and Florian Zettelmeyer
In this paper we investigate whether sellers treat consumers differently on the basis of how well informed consumers appear to be. We implement a large-scale field experiment in which callers request price quotes from automotive repair shops. We show that sellers alter... View Details
Keywords: Pricing; Price Discrimination; Automobiles; Field Experiment; Information; Fairness; Price; Knowledge Use and Leverage; Internet and the Web; Gender; Service Industry; Auto Industry
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Busse, Meghan, Ayelet Israeli, and Florian Zettelmeyer. "Repairing the Damage: The Effect of Price Knowledge and Gender on Auto-Repair Price Quotes." Journal of Marketing Research (JMR) 54, no. 1 (February 2017): 75–95.
  • 2019
  • Working Paper

The Impact of Increasing Search Frictions on Online Shopping Behavior: Evidence from a Field Experiment

By: Donald Ngwe, Kris J. Ferreira and Thales Teixeira
Many online stores are designed such that shoppers can easily access any available discounted products. We propose that deliberately increasing search frictions by placing small obstacles to locating discounted items can improve online retailers’ margins and even... View Details
Keywords: E-commerce; Online Retailing; Friction; Effor; Search Costs; Price Discrimination; Consumer Behavior; Price; Search Technology
Citation
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Ngwe, Donald, Kris J. Ferreira, and Thales Teixeira. "The Impact of Increasing Search Frictions on Online Shopping Behavior: Evidence from a Field Experiment." Harvard Business School Working Paper, No. 19-080, January 2019.
  • November–December 2017
  • Article

Match Your Own Price? Self-Matching as a Retailer's Multichannel Pricing Strategy

By: Pavel Kireyev, Vineet Kumar and Elie Ofek
Multichannel retailing has created several new strategic choices for retailers. With respect to pricing, an important decision is whether to offer a “self-matching policy,” which allows a multichannel retailer to offer the lowest of its online and store prices to... View Details
Keywords: Price Self-matching; Multichannel Retailing; Pricing Strategy; Online Shopping; Omnichannel; Price Discrimination; Price; Strategy; Competitive Strategy
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Kireyev, Pavel, Vineet Kumar, and Elie Ofek. "Match Your Own Price? Self-Matching as a Retailer's Multichannel Pricing Strategy." Marketing Science 36, no. 6 (November–December 2017): 908–930.
  • July–August 2017
  • Article

Why Outlet Stores Exist: Averting Cannibalization in Product Line Extensions

By: Donald Ngwe
Outlet stores are a large and growing component of many firms' retailing strategies, particularly in the fashion industry. Outlet stores offer attractive prices in locations far from central shopping districts. The main perspectives on why outlet stores exist can be... View Details
Keywords: Fashion; Industrial Organization; Outlet Stores; Price Discrimination; Retail; Channel Management; Luxury; Product Marketing; Price; Retail Industry; Fashion Industry
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Ngwe, Donald. "Why Outlet Stores Exist: Averting Cannibalization in Product Line Extensions." Marketing Science 36, no. 4 (July–August 2017): 523–541.
  • January–February 2019
  • Article

Who Loses When a Team Wins? Better Performance Increases Racial Bias

By: Letian Zhang
Although it is well known that organizational and team performance influences strategic decision-making, little is known about its impact on ascriptive inequality. This study proposes a performance effect on racial bias: higher team performance reduces managers’... View Details
Keywords: Discrimination; Race And Ethnicity; Performance Feedback; NBA; Prejudice and Bias; Race; Ethnicity; Performance; Sports
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Zhang, Letian. "Who Loses When a Team Wins? Better Performance Increases Racial Bias." Organization Science 30, no. 1 (January–February 2019): 40–50.
  • 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.
  • Research Summary

Overview

Professor Ngwe develops structural models of supply and demand to probe deeply into the dynamics of shoppers and retailers, especially unobservable aspects of purchase behavior. He focuses on the adoption of outlet stores in the fashion industry, using transactional... View Details
Keywords: Outlet Stores; Price Discrimination; Retail; Discounts; Location; Industrial Organization; Structural Modeling; Fashion Industry; Retail Industry
  • 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... View Details
Keywords: Smart Pricing; Pricing Algorithm; Machine Bias; Discrimination; Racial Disparity; Social Inequality; Airbnb Revenue; Revenue; Race; Equality and Inequality; Prejudice and Bias; Price; Mathematical Methods; Accommodations Industry
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Zhang, Shunyuan, Nitin Mehta, Param Singh, and Kannan Srinivasan. "Frontiers: Can an AI Algorithm Mitigate Racial Economic Inequality? An Analysis in the Context of Airbnb." Marketing Science 40, no. 5 (September–October 2021): 813–820.
  • October 2024
  • Article

Racial Disparities in the Paycheck Protection Program

By: Sergey Chernenko and David 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 Scharfstein. "Racial Disparities in the Paycheck Protection Program." Art. 103911. Journal of Financial Economics 160 (October 2024).
  • 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.
  • September 2020 (Revised June 2023)
  • 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... View Details
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 Strategy; Discrimination; Targeted Advertising; Targeted Policies; Targeting; Pricing Algorithms; A/B Testing; Ethical Decision Making; Customer Base Analysis; Customer Heterogeneity; Coupons; Algorithmic Bias; 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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Ascarza, Eva, and Ayelet Israeli. "Artea: Designing Targeting Strategies." Harvard Business School Exercise 521-021, September 2020. (Revised June 2023.)
  • 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
Citation
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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.)
  • 11 Sep 2017
  • Research & Ideas

Why Employers Favor Men

men perform better on average at certain tasks, according to the research paper When Gender Discrimination Is Not About Gender. The paper was written by Katherine B. Coffman and Christine L. Exley, both assistant professors at Harvard... View Details
Keywords: by Dina Gerdeman
  • February 2017 (Revised January 2018)
  • Case

Womenomics in Japan

By: Boris Groysberg, Mayuka Yamazaki, Nobuo Sato and David Lane
This case profiles Prime Minister Shinzo Abe's vigorous attempts to revive Japan's economy, specifically by advocating for a larger role for women in the economy—not as a matter of social policy or gender equity per se, but as an essential element of any solution to... View Details
Keywords: Gender Equality; Japan; Leadership; Government-business Relations; Shinzo Abe; Economic Growth; Aging Society; Womenomics; Abenomics; Labor Market Discrimination; Workplace Culture; Women And Leadership; Change Management; Leading Change; Gender; Business and Government Relations; Growth and Development; Employment; Working Conditions
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Groysberg, Boris, Mayuka Yamazaki, Nobuo Sato, and David Lane. "Womenomics in Japan." Harvard Business School Case 417-002, February 2017. (Revised January 2018.)
  • 31 Oct 2022
  • Research & Ideas

Why the Largest Minority Group Faces the Most Hate—and How to Push Back

members.” “We’re likely to see increased animosity against the groups that become largest, and perhaps lower discrimination against the groups that were the largest but that eventually become instead, say, the second or third rank in the... View Details
Keywords: by Pamela Reynolds
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