Bias - Publications - Faculty & Research - Harvard Business School

Filter Results: (1,117)

Filter Results: (1,117)

Show Results For

← Page 9 of 1,117 Results →

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

Find at Harvard

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

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

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

Keywords: Behavioral; Behavioral Operations; Inventory; Bias; Operations Management; Operations

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

Find at Harvard

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

Find at Harvard

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

Find at Harvard

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

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

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

Find at Harvard

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

Find at Harvard

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

Find at Harvard

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

Find at Harvard

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

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

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

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

Register to Read

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

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

October 2019
Supplement

Harlem Capital: Changing the Face of Entrepreneurship (B)

By: George Serafeim

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

←
9
10
…
55
56
→