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(1,133)
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Show Results For
- All HBS Web
(1,133)
- News (185)
- Research (730)
- Events (5)
- Multimedia (18)
- Faculty Publications (486)
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- 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.
- 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
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.
- 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
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. Review of Marketing Research. Emerald Publishing Limited, forthcoming.
- 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
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.)
- 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
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.
- 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
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
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.
- 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
Murillo, Jose, Boris Vallée, and Dolly Yu. "Fintech to the (Worker) Rescue: Access to Earned Wages, Financial Health and Employee Turnover." Working Paper, 2023.
- 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.)
- January 2014
- Other Article
The Answer is 9,142: Understanding the Influence of Disruption Risk on Inventory Decision Making
By: Mark Cotteleer, Maria Ibanez and Geri Gibbons
The question was how many units of inventory a manager should order when faced with a possible disruption in supply. The correct answer is not guesswork, but based on 150 years of theory and practice. We examine individual choices made in this critical situation—and... View Details
Cotteleer, Mark, Maria Ibanez, and Geri Gibbons. "The Answer is 9,142: Understanding the Influence of Disruption Risk on Inventory Decision Making." Deloitte Review 14 (January 2014).
- June 2017
- Article
When Novel Rituals Lead to Intergroup Bias: Evidence from Economic Games and Neurophysiology
By: Nicholas M. Hobson, Francesca Gino, Michael I. Norton and Michael Inzlicht
Long-established rituals in pre-existing cultural groups have been linked to the cultural evolution of large-scale group cooperation. Here we test the prediction that novel rituals—arbitrary hand and body gestures enacted in a stereotypical and repeated fashion—can... View Details
Keywords: Ritual; Intergroup Dynamics; Intergroup Bias; Neural Reward Processing; Open Data; Open Materials; Preregistered; Groups and Teams; Behavior; Prejudice and Bias; Cooperation
Hobson, Nicholas M., Francesca Gino, Michael I. Norton, and Michael Inzlicht. "When Novel Rituals Lead to Intergroup Bias: Evidence from Economic Games and Neurophysiology." Psychological Science 28, no. 6 (June 2017): 733–750.
- 2020
- Working Paper
When Do Experts Listen to Other Experts? The Role of Negative Information in Expert Evaluations for Novel Projects
By: Jacqueline N. Lane, Misha Teplitskiy, Gary Gray, Hardeep Ranu, Michael Menietti, Eva C. Guinan and Karim R. Lakhani
The evaluation of novel projects lies at the heart of scientific and technological innovation, and yet literature suggests that this process is subject to inconsistency and potential biases. This paper investigates the role of information sharing among experts as the... View Details
Keywords: Project Evaluation; Innovation; Knowledge Frontier; Negativity Bias; Projects; Innovation and Invention; Information; Diversity; Judgments
Lane, Jacqueline N., Misha Teplitskiy, Gary Gray, Hardeep Ranu, Michael Menietti, Eva C. Guinan, and Karim R. Lakhani. "When Do Experts Listen to Other Experts? The Role of Negative Information in Expert Evaluations for Novel Projects." Harvard Business School Working Paper, No. 21-007, July 2020. (Revised November 2020.)
- October 2021
- Article
Fintech Borrowers: Lax Screening or Cream-Skimming?
By: Marco Di Maggio and Vincent Yao
Personal credit is the fastest-growing segment of the consumer credit market, mainly driven by fintech lenders' staggering expansion. We study this market using a unique individual-level data, which covers most of the top fintech and traditional lenders, and provides... View Details
Keywords: Fintech; Lending; Consumer Finance; Credit History; Self-control; Present Bias; Financing and Loans; Personal Finance; Credit; Behavior
Di Maggio, Marco, and Vincent Yao. "Fintech Borrowers: Lax Screening or Cream-Skimming?" Review of Financial Studies 34, no. 10 (October 2021): 4565–4618. (LEAD ARTICLE and EDITOR'S CHOICE.)
- 2021
- Working Paper
Invisible Primes: Fintech Lending with Alternative Data
By: Marco Di Maggio, Dimuthu Ratnadiwakara and Don Carmichael
We exploit anonymized administrative data provided by a major fintech platform to investigate whether using alternative data to assess borrowers’ creditworthiness results in broader credit access. Comparing actual outcomes of the fintech platform’s model to... View Details
Keywords: Fintech Lending; Alternative Data; Machine Learning; Algorithm Bias; Finance; Information Technology; Financing and Loans; Analytics and Data Science; Credit
Di Maggio, Marco, Dimuthu Ratnadiwakara, and Don Carmichael. "Invisible Primes: Fintech Lending with Alternative Data." Harvard Business School Working Paper, No. 22-024, October 2021.
- 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
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.)
- May 2021
- Article
Ideology and Composition Among an Online Crowd: Evidence From Wikipedians
By: Shane Greenstein, Grace Gu and Feng Zhu
Online communities bring together participants from diverse backgrounds and often face challenges in aggregating their opinions. We infer lessons from the experience of individual contributors to Wikipedia articles about U.S. politics. We identify two factors that... View Details
Keywords: User Segregation; Online Community; Contested Knowledge; Collective Intelligence; Ideology; Bias; Wikipedia; Knowledge Sharing; Perspective; Government and Politics
Greenstein, Shane, Grace Gu, and Feng Zhu. "Ideology and Composition Among an Online Crowd: Evidence From Wikipedians." Management Science 67, no. 5 (May 2021): 3067–3086.
- June 2022
- Article
Conservatism Gets Funded? A Field Experiment on the Role of Negative Information in Novel Project Evaluation
By: Jacqueline N. Lane, Misha Teplitskiy, Gary Gray, Hardeep Ranu, Michael Menietti, Eva C. Guinan and Karim R. Lakhani
The evaluation and selection of novel projects lies at the heart of scientific and technological innovation, and yet there are persistent concerns about bias, such as conservatism. This paper investigates the role that the format of evaluation, specifically information... View Details
Keywords: Project Evaluation; Innovation; Knowledge Frontier; Information Sharing; Negativity Bias; Projects; Innovation and Invention; Information; Knowledge Sharing
Lane, Jacqueline N., Misha Teplitskiy, Gary Gray, Hardeep Ranu, Michael Menietti, Eva C. Guinan, and Karim R. Lakhani. "Conservatism Gets Funded? A Field Experiment on the Role of Negative Information in Novel Project Evaluation." Management Science 68, no. 6 (June 2022): 4478–4495.
- 2023
- Working Paper
Judging Foreign Startups
By: Nataliya Langburd Wright, Rembrand Koning and Tarun Khanna
Can accelerators pick the most promising startup ideas no matter their provenance? Using unique data from a global accelerator where judges are randomly assigned to evaluate startups headquartered across the globe, we show that judges are less likely to recommend... View Details
Keywords: Entrepreneurship And Strategy; Entrepreneurial Financing; Innovation; Bias; International; Strategy; Entrepreneurship; Global Strategy; Business Startups; Financing and Loans; Decision Making
Wright, Nataliya Langburd, Rembrand Koning, and Tarun Khanna. "Judging Foreign Startups." Harvard Business School Working Paper, No. 21-097, March 2021. (Revised January 2023. Accepted at the Strategic Management Journal.)
- 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
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.
- December 2022
- Article
Competition, Contracts, and Creativity: Evidence from Novel Writing in a Platform Market
By: Yanhui Wu and Feng Zhu
A growing number of people today are participating in the gig economy, working as independent contractors on short-term projects. We study the effects of competition on gig workers' effort and creativity on a Chinese novel-writing platform. Authors produce and sell... View Details
Keywords: Gig Workers; Platform-based Markets; Novel Writing; Creative Production; Platform Bias; Employment; Digital Platforms; Creativity; Books; Competition; Contracts
Wu, Yanhui, and Feng Zhu. "Competition, Contracts, and Creativity: Evidence from Novel Writing in a Platform Market." Management Science 68, no. 12 (December 2022): 8613–8634.