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Publications

Publications

Filter Results: (1,098) Arrow Down
Filter Results: (1,098) Arrow Down Arrow Up

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  • All HBS Web  (1,098)
    • News  (185)
    • Research  (762)
    • Events  (8)
    • Multimedia  (14)
  • Faculty Publications  (496)

Show Results For

  • All HBS Web  (1,098)
    • News  (185)
    • Research  (762)
    • Events  (8)
    • Multimedia  (14)
  • Faculty Publications  (496)
← Page 7 of 1,098 Results →
  • Article

Price and Quality Decisions by Self-Serving Managers

By: Marco Bertini, Daniel Halbheer and Oded Koenigsberg
We present a theory of price and quality decisions by managers who are self-serving. In the theory, firms stress the price or quality of their products, but not both. Accounting for this, managers exploit any uncertainty about the cause of market outcomes to credit... View Details
Keywords: Causal Reasoning; Self-serving Bias; Strategic Orientation; Managerial Decision-making; Price; Quality; Decision Making; Theory
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Bertini, Marco, Daniel Halbheer, and Oded Koenigsberg. "Price and Quality Decisions by Self-Serving Managers." International Journal of Research in Marketing 37, no. 2 (June 2020): 236–257.
  • 04 Mar 2017
  • News

No simple fix to weed out racial bias in the sharing economy

  • 26 Apr 2018
  • Video

2018 G&WS: A Conversation with David M. Porter on Implicit Bias

  • September 2020 (Revised July 2022)
  • Exercise

Artea (B): Including Customer-Level Demographic Data

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: Targeting; Algorithmic Bias; Race; Gender; Marketing; Diversity; Customer Relationship Management; Demographics; Prejudice and Bias; Apparel and Accessories Industry; Apparel and Accessories Industry; Apparel and Accessories Industry; United States
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Ascarza, Eva, and Ayelet Israeli. "Artea (B): Including Customer-Level Demographic Data." Harvard Business School Exercise 521-022, September 2020. (Revised July 2022.)
  • Article

Whites See Racism as a Zero-Sum Game That They Are Now Losing

By: Michael I. Norton and Samuel R. Sommers
Although some have heralded recent political and cultural developments as signaling the arrival of a post-racial era in America, several legal and social controversies regarding "reverse racism" highlight Whites' increasing concern about anti-White bias. We show that... View Details
Keywords: Racism; Zero-sum Game; Bias; Affirmative Action; Prejudice and Bias; Race; Social Issues; United States
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Norton, Michael I., and Samuel R. Sommers. "Whites See Racism as a Zero-Sum Game That They Are Now Losing." Perspectives on Psychological Science 6, no. 3 (May 2011): 215–218.
  • 10 Oct 2017
  • News

Radical Transparency Can Reduce Bias — but Only If It’s Done Right

  • 2016
  • Working Paper

PathBreakers? Women's Electoral Success and Future Political Participation

By: Sonia Bhalotra, Irma Clots-Figueras and Lakshmi Iyer
We investigate whether the event of a woman being competitively elected as a state legislator encourages the subsequent political participation of women, using a regression discontinuity design on constituency level data from India. We find that female incumbents are... View Details
Keywords: Political Participation; Women; Candidates; Gender Bias; Backlash; Minority Representation; Regression Discontinuity; India; Prejudice and Bias; Political Elections; Gender; Public Administration Industry; India
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Bhalotra, Sonia, Irma Clots-Figueras, and Lakshmi Iyer. "PathBreakers? Women's Electoral Success and Future Political Participation." Harvard Business School Working Paper, No. 14-035, November 2013. (Revised January 2016.)
  • 10 Jan 2013
  • Working Paper Summaries

The Novelty Paradox & Bias for Normal Science: Evidence from Randomized Medical Grant Proposal Evaluations

Keywords: by Kevin J. Boudreau, Eva C. Guinan, Karim R. Lakhani & Christoph Riedl; Health
  • May 18, 2020
  • Other Article

Media Bias? But Not What You Think It Is

By: Frank V. Cespedes
The media are often accused of political bias. But news outlets reflect many political beliefs in a fragmented media environment. However, an almost across-the-board bias is how news media talk about digital business, and the pandemic has exacerbated that bias, which... View Details
Keywords: Bias; Digital Business; Media; Disruption; Health Pandemics
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Cespedes, Frank V. "Media Bias? But Not What You Think It Is." Medium (May 18, 2020).
  • 2023
  • Chapter

Marketing Through the Machine’s Eyes: Image Analytics and Interpretability

By: Shunyuan Zhang, Flora Feng and Kannan Srinivasan
he growth of social media and the sharing economy is generating abundant unstructured image and video data. Computer vision techniques can derive rich insights from unstructured data and can inform recommendations for increasing profits and consumer utility—if only the... View Details
Keywords: Transparency; Marketing Research; Algorithmic Bias; AI and Machine Learning; Marketing
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Zhang, Shunyuan, Flora Feng, and Kannan Srinivasan. "Marketing Through the Machine’s Eyes: Image Analytics and Interpretability." Chap. 8 in Artificial Intelligence in Marketing. 20, edited by Naresh K. Malhotra, K. Sudhir, and Olivier Toubia, 217–238. Review of Marketing Research. Emerald Publishing Limited, 2023.
  • 2024
  • Working Paper

Should I Stay or Should I Disclose? How Omission Bias Guides Our Disclosure Decisions

By: Elinora Pentcheva and Leslie John
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Pentcheva, Elinora, and Leslie John. "Should I Stay or Should I Disclose? How Omission Bias Guides Our Disclosure Decisions." Working Paper, December 2024.
  • September 2020 (Revised June 2023)
  • Supplement

Spreadsheet Supplement to Artea Teaching Note

By: Eva Ascarza and Ayelet Israeli
Spreadsheet Supplement to Artea Teaching Note 521-041. 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... View Details
Keywords: Targeted Advertising; Algorithmic Data; Bias; Advertising; Race; Gender; Diversity; Marketing; Customer Relationship Management; Prejudice and Bias; Analytics and Data Science; Apparel and Accessories Industry; Apparel and Accessories Industry; Apparel and Accessories Industry; United States
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Ascarza, Eva, and Ayelet Israeli. "Spreadsheet Supplement to Artea Teaching Note." Harvard Business School Spreadsheet Supplement 521-705, September 2020. (Revised June 2023.)
  • Article

Temporal View of the Costs and Benefits of Self-Deception

By: Zoe Chance, Michael I. Norton, Francesca Gino and Dan Ariely
Researchers have documented many cases in which individuals rationalize their regrettable actions. Four experiments examine situations in which people go beyond merely explaining away their misconduct to actively deceiving themselves. We find that those who exploit... View Details
Keywords: Hindsight Bias; Lying; Motivated Reasoning; Self-enhancement; Social Psychology; Perception; Performance Expectations
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Chance, Zoe, Michael I. Norton, Francesca Gino, and Dan Ariely. "Temporal View of the Costs and Benefits of Self-Deception." Proceedings of the National Academy of Sciences 108, no. S3 (September 13, 2011): 15655–15659.
  • Article

Physician–patient Racial Concordance and Disparities in Birthing Mortality for Newborns

By: Brad N. Greenwood, Rachel R. Hardeman, Laura Huang and Aaron Sojourner
Recent work has emphasized the benefits of patient–physician concordance on clinical care outcomes for underrepresented minorities, arguing it can ameliorate outgroup biases, boost communication, and increase trust. We explore concordance in a setting where racial... View Details
Keywords: Racial Bias; Birthing Outcomes; Concordance; Mortality; Health Care and Treatment; Race
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Greenwood, Brad N., Rachel R. Hardeman, Laura Huang, and Aaron Sojourner. "Physician–patient Racial Concordance and Disparities in Birthing Mortality for Newborns." Proceedings of the National Academy of Sciences 117, no. 35 (September 1, 2020): 21194–21200.
  • 05 Nov 2019
  • News

Women face bias in promotions, raises. What they need to know to ace their year-end review

  • 2022
  • Working Paper

Hate Crime Increases with Minoritized Group Rank

By: Marco E. Tabellini
People are on the move in unprecedented numbers within and between countries. How does demographic change affect local intergroup dynamics? In complement to accounts that emphasize stereotypical features of groups as determinants of their treatment, we propose the... View Details
Keywords: Prejudice; Minority; Hate Crimes; Reference Dependence; Demographics; Rank and Position; Prejudice and Bias; Crime and Corruption
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Cikara, Mina, Vasiliki Fouka, and Marco Tabellini. "Hate Crime Increases with Minoritized Group Rank." Harvard Business School Working Paper, No. 21-075, February 2022. (Permanent link here. Forthcoming at Nature Human Behaviour.)
  • December 2023
  • Article

Brokerage Relationships and Analyst Forecasts: Evidence from the Protocol for Broker Recruiting

By: Braiden Coleman, Michael Drake, Joseph Pacelli and Brady Twedt
In this study, we offer novel evidence on how the nature of brokerage-client relationships can influence the quality of equity research. We exploit a unique setting provided by the Protocol for Broker Recruiting to examine whether relaxed broker non-compete agreement... View Details
Keywords: Brokers; Analysts; Forecasts; Bias; Protocol; Investment; Research; Forecasting and Prediction
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Coleman, Braiden, Michael Drake, Joseph Pacelli, and Brady Twedt. "Brokerage Relationships and Analyst Forecasts: Evidence from the Protocol for Broker Recruiting." Review of Accounting Studies 28, no. 4 (December 2023): 2075–2103.
  • September 2014
  • Article

Accounting Standards and International Portfolio Holdings

By: Gwen Yu and Aida Sijamic Wahid
Do differences in countries' accounting standards affect global investment decisions? We explore this question by examining how accounting distance, the difference in the accounting standards used in the investor's and the investee's countries, affects the asset... View Details
Keywords: IFRS; Home Bias; Cross-cultural/cross-border; Information Asymmetry; Mutual Funds; International Relations
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Yu, Gwen, and Aida Sijamic Wahid. "Accounting Standards and International Portfolio Holdings." Accounting Review 89, no. 5 (September 2014): 1895–1930. (Winner of American Accounting Association. International Accounting Section. Outstanding Dissertation Award presented by American Accounting Association.)
  • 2023
  • Working Paper

Fintech to the (Worker) Rescue: Access to Earned Wages, Financial Health and Employee Turnover

By: Jose Murillo, Boris Vallée and Dolly Yu
Using novel data from a Mexican FinTech firm, we study the usage by workers of earned wages access, an innovative financial service offered by firms to their employees as a benefit. We find usage to be significant and concentrated towards the end of the pay cycle. We... View Details
Keywords: Fintech; Present Bias; Earned Wage Access; Wages; Employees; Retention; Well-being; Mexico
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Murillo, Jose, Boris Vallée, and Dolly Yu. "Fintech to the (Worker) Rescue: Access to Earned Wages, Financial Health and Employee Turnover." Working Paper, 2023.
  • February 2025
  • Article

Estimating Models of Supply and Demand: Instruments and Covariance Restrictions

By: Alexander MacKay and Nathan H. Miller
We consider the identification of empirical models of supply and demand with imperfect competition. We show that a restriction on the covariance between unobserved demand and cost shocks can resolve endogeneity and identify the price parameter. We demonstrate how to... View Details
Keywords: Demand Estimation; Identification; Endogeneity Bias; Covariance Restrictions; Ordinary Least Squares; Instrumental Variables; Price; Demand and Consumers; Competition
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MacKay, Alexander, and Nathan H. Miller. "Estimating Models of Supply and Demand: Instruments and Covariance Restrictions." American Economic Journal: Microeconomics 71, no. 1 (February 2025): 238–281. (Direct download.)
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