Filter Results:
(1,095)
Show Results For
- All HBS Web
(1,095)
- News (179)
- Research (756)
- Events (7)
- Multimedia (14)
- Faculty Publications (490)
Show Results For
- All HBS Web
(1,095)
- News (179)
- Research (756)
- Events (7)
- Multimedia (14)
- Faculty Publications (490)
- September 17, 2021
- Article
AI Can Help Address Inequity—If Companies Earn Users' Trust
By: Shunyuan Zhang, Kannan Srinivasan, Param Singh and Nitin Mehta
While companies may spend a lot of time testing models before launch, many spend too little time considering how they will work in the wild. In particular, they fail to fully consider how rates of adoption can warp developers’ intent. For instance, Airbnb launched a... View Details
Keywords: Artificial Intelligence; Algorithmic Bias; Technological Innovation; Perception; Diversity; Equality and Inequality; Trust; AI and Machine Learning
Zhang, Shunyuan, Kannan Srinivasan, Param Singh, and Nitin Mehta. "AI Can Help Address Inequity—If Companies Earn Users' Trust." Harvard Business Review Digital Articles (September 17, 2021).
- 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; Apparel and Accessories Industry; Apparel and Accessories Industry; United States
- April 2017
- Article
Racial Discrimination in the Sharing Economy: Evidence from a Field Experiment
By: Benjamin Edelman, Michael Luca and Daniel Svirsky
In an experiment on Airbnb, we find that applications from guests with distinctively African-American names are 16% less likely to be accepted relative to identical guests with distinctively White names. Discrimination occurs among landlords of all sizes, including... View Details
Keywords: Discrimination; Field Experiment; Bias; Airbnb; Prejudice and Bias; Race; Accommodations Industry
Edelman, Benjamin, Michael Luca, and Daniel Svirsky. "Racial Discrimination in the Sharing Economy: Evidence from a Field Experiment." American Economic Journal: Applied Economics 9, no. 2 (April 2017): 1–22.
- March 2021
- Supplement
Applied: Using Behavioral Science to Debias Hiring (B)
By: Ashley Whillans and Jeff Polzer
At the end of 2018, Applied faced questions of stakeholder management and scale. Glazebrook wanted clients to get rid of CVs altogether. To do this, they would have to help hiring managers and recruiters easily build task-based assessments of the skills that their... View Details
Keywords: Hiring; Bias; Behavioral Science; Selection and Staffing; Prejudice and Bias; Information Technology; Competency and Skills
Whillans, Ashley, and Jeff Polzer. "Applied: Using Behavioral Science to Debias Hiring (B)." Harvard Business School Supplement 921-047, March 2021.
- March 2021 (Revised September 2021)
- Case
Applied: Using Behavioral Science to Debias Hiring
By: Ashley Whillans and Jeff Polzer
The UK government’s Behavioural Insights Team (BIT) needed to hire a new associate and were trying to increase the diversity of their job candidates. This decision was based on academic research showing that recruiters and managers often fell into common traps like... View Details
Keywords: Hiring; Bias; Behavioral Science; Selection and Staffing; Diversity; Prejudice and Bias; Information Technology; Recruitment
Whillans, Ashley, and Jeff Polzer. "Applied: Using Behavioral Science to Debias Hiring." Harvard Business School Case 921-046, March 2021. (Revised September 2021.) (https://www.beapplied.com/.)
- October 2015 (Revised January 2017)
- Exercise
Gender at Work
By: Boris Groysberg and Colleen Ammerman
Groysberg, Boris, and Colleen Ammerman. "Gender at Work." Harvard Business School Exercise 416-026, October 2015. (Revised January 2017.)
- March 2004 (Revised October 2013)
- Case
Innocents Abroad: Currencies and International Stock Returns
By: Mihir A. Desai, Kathleen Luchs, Elizabeth A. Meyer and Mark Veblen
What do international stocks contribute to the portfolio of a U.S. investor? How do currencies interact with stock price movements in determining the benefits of international diversification? This case helps students compare the risks and returns of foreign stock... View Details
Keywords: Diversification; International CAPM; CAPM; Home Bias; Currency Risk; Exchange Rate Risk; International Stock Market Returns; United States; Currency Exchange Rate; Stocks; Financial Markets; International Finance; Investment Return; Currency; Risk and Uncertainty; Emerging Markets; Investment Portfolio; Financial Services Industry; United States; Australia; Canada; China; Germany; India; Japan; United Kingdom
Desai, Mihir A., Kathleen Luchs, Elizabeth A. Meyer, and Mark Veblen. "Innocents Abroad: Currencies and International Stock Returns." Harvard Business School Case 204-141, March 2004. (Revised October 2013.)
- May 2018
- Article
Selection and Market Reallocation: Productivity Gains from Multinational Production
By: Laura Alfaro and Maggie X. Chen
Assessing the productivity gains from multinational production has been a vital topic of economic research and policy debate. Positive aggregate productivity gains are often attributed to within-firm productivity improvement; however, an alternative, less emphasized... View Details
Keywords: Productivity Gains; Multinational Production; Selection; Market Reallocation; And Within-firm Productivity; Multinational Firms and Management; Production; Performance Productivity; Competition; Mathematical Methods
Alfaro, Laura, and Maggie X. Chen. "Selection and Market Reallocation: Productivity Gains from Multinational Production." American Economic Journal: Economic Policy 10, no. 2 (May 2018): 1–38. (Also NBER Working Paper 18207. See Harvard Business School Working Paper, No. 12–111, 2015 for longer version.)
- 10 Oct 2014
- News
Ending Gender Discrimination Requires More than a Training Program
- August 2005 (Revised April 2014)
- Teaching Note
Innocents Abroad: Currencies and International Stock Returns
By: Mihir A. Desai, Kathleen Luchs, Elizabeth A. Meyer and Mark Veblen
What do international stocks contribute to the portfolio of a U.S. investor? How do currencies interact with stock price movements in determining the benefits of international diversification? This case helps students compare the risks and returns of foreign stock... View Details
Keywords: Diversification; International CAPM; CAPM; Home Bias; Currency Risk; Exchange Rate Risk; International Stock Market Returns; Financial Services Industry; United States; Currency Exchange Rate; Stocks; Financial Markets; International Finance; Investment Return; Currency; Risk and Uncertainty; Emerging Markets; Investment Portfolio; United States; Australia; Canada; China; Germany; India; Japan; United Kingdom
- 2014
- Working Paper
Bridging Science and Technology Through Academic-Industry Partnerships
By: Sen Chai and Willy C. Shih
Scientific research and its translation into commercialized technology is a driver of wealth creation and economic growth. Partnerships to foster the translational processes from public research organizations, such as universities and hospitals, to private firms are a... View Details
Keywords: Innovation; Firm Performance; Public-private Partnership Funding; Translational Research; Small And Medium Enterprises; Partners and Partnerships; Public Sector; Private Sector; Performance; Science-Based Business; Innovation and Invention
Chai, Sen, and Willy C. Shih. "Bridging Science and Technology Through Academic-Industry Partnerships." Harvard Business School Working Paper, No. 13-058, January 2013. (Revised July 2014.)
- 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; Apparel and Accessories Industry; Apparel and Accessories Industry; United States
Ascarza, Eva, and Ayelet Israeli. "Artea: Designing Targeting Strategies." Harvard Business School Exercise 521-021, September 2020. (Revised June 2023.)
- 05 Feb 2019
- Working Paper Summaries
Stereotypes and Belief Updating
- 02 Aug 2020
- Working Paper Summaries
Discrimination, Disenfranchisement and African American WWII Military Enlistment
Keywords: by Nancy Qian and Marco Tabellini
- 2009
- Article
Social Structure Shapes Cultural Stereotypes and Emotions: A Causal Test of the Stereotype Content Model
By: P. Caprariello, A.J.C. Cuddy and S.T. Fiske
The stereotype content model (SCM) posits that social structure predicts specific cultural stereotypes and associated emotional prejudices (Fiske et al., 2002). No prior evidence at a societal level has manipulated both structural predictors and measured both... View Details
Keywords: Competency and Skills; Mathematical Methods; Emotions; Personal Characteristics; Prejudice and Bias; Status and Position; Culture; Competition
Caprariello, P., A.J.C. Cuddy, and S.T. Fiske. "Social Structure Shapes Cultural Stereotypes and Emotions: A Causal Test of the Stereotype Content Model." Group Processes & Intergroup Relations 12, no. 2 (2009): 147–155.
- 2013
- Other Unpublished Work
Comments on Commitments in AT.39740 — Google
By: Benjamin Edelman
I evaluate the remedies in Google's proposed Commitments, and I propose additional remedies to more fully address the Commission's concerns. View Details
Keywords: Competition; Regulation; Google; Bias; Deterrence; Law; Internet; Search Technology; Technology Networks; European Union
Edelman, Benjamin. "Comments on Commitments in AT.39740 — Google." May 2013. (Comments to European Commission — DG Comp.)
- Article
(Too) Optimistic about Optimism: The Belief that Optimism Improves Performance.
By: Elizabeth R. Tenney, Jennifer M. Logg and Don A Moore
A series of experiments investigated why people value optimism and whether they are right to do so. In Experiments 1A and 1B, participants prescribed more optimism for someone implementing decisions than for someone deliberating, indicating that people prescribe... View Details
Keywords: Optimism; Bias; Accuracy; Decision Phase; Performance; Attitudes; Performance Improvement; Perception; Outcome or Result
Tenney, Elizabeth R., Jennifer M. Logg, and Don A Moore. "(Too) Optimistic about Optimism: The Belief that Optimism Improves Performance." Journal of Personality and Social Psychology 108, no. 3 (March 2015): 377–399. (lead article.)
- November 1990 (Revised August 1996)
- Background Note
Sampling and Statistical Inference
An introduction to sampling and statistical inference that covers the main concepts (confidence intervals, tests of statistical significance, choice of sample size) that are needed in making inferences about a population mean or percent. Includes discussion of problems... View Details
Schleifer, Arthur, Jr. "Sampling and Statistical Inference." Harvard Business School Background Note 191-092, November 1990. (Revised August 1996.)
- 2024
- Working Paper
What Is Newsworthy? Theory and Evidence
By: Luis Armona, Matthew Gentzkow, Emir Kamenica and Jesse M. Shapiro
We study newsworthiness in theory and practice. We focus on situations in which a news outlet observes the realization of a state of the world and must decide whether to report the realization to a consumer who pays an opportunity cost to consume the report. The... View Details
Armona, Luis, Matthew Gentzkow, Emir Kamenica, and Jesse M. Shapiro. "What Is Newsworthy? Theory and Evidence." NBER Working Paper Series, No. 32512, May 2024.