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(1,112)
- News (185)
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- Faculty Publications (486)
Show Results For
- All HBS Web
(1,112)
- News (185)
- Research (737)
- Events (5)
- Multimedia (18)
- Faculty Publications (486)
- 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.
- 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).
- 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.)
- 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.)
- 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.
- 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.
- 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.)
- 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.)
- 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.
- 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.
- October 2022
- Case
Colette Phillips and GetKonnected!: Creating Inclusive Ecosystems
By: Rosabeth Moss Kanter, Amy Chiu and Joyce Kim
Colette Phillips’ marketing firm had just won the City of Boston’s 2nd largest contract in history to a Black-owned company. During the Covid-19 pandemic, Get Konnected!, the networking organization for people of color that she founded 15 years earlier and led to... View Details
Keywords: Diversity; Ecosystem; Inclusion; People Of Color; Network; Racial Bias; Gender Bias; Entrepreneurial Ecosystem; Entrepreneur; Change; Change Barriers; Change Leadership; Community; Innovation; Pandemic; Impact; Systemic Racism; Minority-owned Businesses; Social and Collaborative Networks; Equity; Race; Small Business; Prejudice and Bias; Boston
Kanter, Rosabeth Moss, Amy Chiu, and Joyce Kim. "Colette Phillips and GetKonnected!: Creating Inclusive Ecosystems." Harvard Business School Case 323-035, October 2022.
- 2021
- Working Paper
Time Dependence and Preference: Implications for Compensation Structure and Shift Scheduling
By: Doug J. Chung, Byungyeon Kim and Byoung G. Park
This study jointly examines agents’ time dependence—period effects within instantaneous utility—and time preference—behavior on discounting future utility. The study considers the start- and end-of-period effects for time dependence and exponential and hyperbolic... View Details
Keywords: Time Preferences; Present Bias; Hyperbolic Discounting; Compensation; Dynamic Structural Models; Identification; Time Management; Motivation and Incentives; Behavior; Performance; Compensation and Benefits
Chung, Doug J., Byungyeon Kim, and Byoung G. Park. "Time Dependence and Preference: Implications for Compensation Structure and Shift Scheduling." Harvard Business School Working Paper, No. 21-121, April 2021.
- 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
Ascarza, Eva, and Ayelet Israeli. "Artea: Designing Targeting Strategies." Harvard Business School Exercise 521-021, September 2020. (Revised June 2023.)
- February 2023
- Teaching Note
Colette Phillips and GetKonnected: Creating Inclusive Ecosystems
By: Rosabeth M. Kanter and Ai-Ling Jamila Malone
Teaching Note for HBS Case No. 323-035. View Details
Keywords: Diversity; Ecosystem; Inclusion; People Of Color; Network; Racial Bias; Gender Bias; Entrepreneur; Entrepreneurial Ecosystems; Change; Change Barriers; Change Leadership; Community; Innovation; Pandemic; Impact; Systemic Racism; Minority-owned Businesses; Social and Collaborative Networks; Equity; Race; Small Business; Prejudice and Bias; Boston
- 2024
- Working Paper
A Gender Backlash: Does Exposure to Female Labor Market Participation Fuel Gender Conservatism?
By: Paula Rettl, Diane Bolet, Catherine E. De Vries, Simone Cremaschi, Tarik Abou-Chadi and Sergi Pardos-Prado
The growing participation of women in the labor market has marked a significant societal transformation, coinciding with the rise of gender conservatism and far-right support. We study whether the economic consequences of labor market feminization and gender backlash... View Details
Keywords: Gender Bias; Gender Equality; Gender Inclusivity; Politics; Political Backlash; Political Culture; Conservatism; Gender; Government and Politics; Equality and Inequality; Prejudice and Bias; Labor
Rettl, Paula, Diane Bolet, Catherine E. De Vries, Simone Cremaschi, Tarik Abou-Chadi, and Sergi Pardos-Prado. "A Gender Backlash: Does Exposure to Female Labor Market Participation Fuel Gender Conservatism?" Harvard Business School Working Paper, No. 25-022, November 2024.
- Forthcoming
- 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
MacKay, Alexander, and Nathan H. Miller. "Estimating Models of Supply and Demand: Instruments and Covariance Restrictions." American Economic Journal: Microeconomics (forthcoming). (Direct download.)
- October 2019
- Supplement
Harlem Capital: Changing the Face of Entrepreneurship (B)
By: George Serafeim and David Freiberg
The (B) case describes Tingle and Pierre-Jacques’ decision to commit fully to Harlem Capital as their post-graduation job. The case explores the results of their fundraising efforts, new strategic partnerships, and how they plan to “build the market” in order to... View Details
Keywords: Impact Investing; Gender Bias; Gender Inequality; Minority Representation; Entrepreneurial Finance; Investment Management; Investing; Inequality; Venture Capital; Entrepreneurship; Diversity; Gender; Equality and Inequality; Equity; Mission and Purpose; Investment Funds; Financial Services Industry
Serafeim, George, and David Freiberg. "Harlem Capital: Changing the Face of Entrepreneurship (B)." Harvard Business School Supplement 120-041, October 2019.