Filter Results
:
(89)
Show Results For
-
All HBS Web
(89)
- News (25)
- Research (56)
- Events (1)
- Multimedia (1)
- Faculty Publications (33)
Show Results For
-
All HBS Web
(89)
- News (25)
- Research (56)
- Events (1)
- Multimedia (1)
- Faculty Publications (33)
Paul Hamilton
Paul studies the economic complements needed for firms to realize productivity gains from machine learning and artificial intelligence. These complements include data, human capital & skills, organizational processes, and business models.
View Details
- 20 Mar 2017
- News
Would it really ‘never hurt’ for Trump to apologize?
- 29 Jan 2018
- News
How to Build Trust with Colleagues You Rarely See
- 2009
- Article
Adverse Selection in Online 'Trust' Certifications
By: Benjamin Edelman
Widely used online "trust" authorities issue certifications without substantial verification of recipients' actual trustworthiness. This lax approach gives rise to adverse selection: the sites that seek and obtain trust certifications are actually less trustworthy than...
View Details
Edelman, Benjamin. "Adverse Selection in Online 'Trust' Certifications." Proceedings of the International Conference on Electronic Commerce (2009): 205–212. (ACM International Conference Proceeding Series.)
- 2016
- Article
Peer-to-Peer Markets
By: Liran Einav, Chiara Farronato and Jonathan Levin
Peer-to-peer markets such as eBay, Uber, and Airbnb allow small suppliers to compete with traditional providers of goods or services. We view the primary function of these markets as making it easy for buyers to find sellers and engage in convenient, trustworthy...
View Details
Keywords:
Peer-to-peer;
Online Platforms;
Matching;
Innovation;
Digital Platforms;
Marketplace Matching;
Market Design;
Internet and the Web;
Technology Adoption;
Network Effects;
Market Entry and Exit
Einav, Liran, Chiara Farronato, and Jonathan Levin. "Peer-to-Peer Markets." Annual Review of Economics 8 (2016): 615–635.
- January–February 2011
- Article
Adverse Selection in Online 'Trust' Certifications and Search Results
By: Benjamin Edelman
Widely used online "trust" authorities issue certifications without substantial verification of recipients' actual trustworthiness. This lax approach gives rise to adverse selection: the sites that seek and obtain trust certifications are actually less trustworthy than...
View Details
Keywords:
Online Advertising;
Governing Rules, Regulations, and Reforms;
Policy;
Safety;
Trust;
Internet;
Search Technology;
Web Sites
Edelman, Benjamin. "Adverse Selection in Online 'Trust' Certifications and Search Results." Electronic Commerce Research and Applications 10, no. 1 (January–February 2011): 17–25.
- Article
The Deception Spiral: Corporate Obfuscation Leads to Perceptions of Immorality and Cheating Behavior
By: D.M. Markowitz, M. Kouchaki, J.T. Hancock and F. Gino
In four studies, we evaluated how corporate misconduct relates to language patterns, perceptions of immorality, and unethical behavior. First, we analyzed nearly 190 codes of conduct from S&P 500 manufacturing companies and observed that corporations with ethics...
View Details
Keywords:
Obfuscation;
Corporate Unethicality;
Deception;
Deception Spiral;
Organizations;
Values and Beliefs;
Ethics;
Perception;
Behavior
Markowitz, D.M., M. Kouchaki, J.T. Hancock, and F. Gino. "The Deception Spiral: Corporate Obfuscation Leads to Perceptions of Immorality and Cheating Behavior." Journal of Language and Social Psychology 40, no. 2 (March 2021): 277–296.
- Article
Trust and Incentives in Agency
By: Ramon Casadesus-Masanell and Daniel F Spulber
Contracts between a principal and an agent are not formed in a vacuum. Although formal contracts between a principal and an agent contain explicit incentives for performance, the relationship between a principal and an agent also involves implicit incentives. Three...
View Details
Keywords:
Trust;
Motivation and Incentives;
Agency Theory;
Contracts;
Market Transactions;
Performance;
Relationships;
Societal Protocols;
Legal Liability;
Cost
Casadesus-Masanell, Ramon, and Daniel F Spulber. "Trust and Incentives in Agency." Southern California Interdisciplinary Law Journal 15, no. 1 (Fall 2005): 45–104.
- 2010
- Working Paper
Agency Revisited
By: Ramon Casadesus-Masanell and Daniel F. Spulber
The article presents a comprehensive overview of the principal-agent model that emphasizes the role of trust in the agency relationship. The analysis demonstrates that the legal remedy for breach of duty can result in a full-information efficient outcome eliminating...
View Details
Casadesus-Masanell, Ramon, and Daniel F. Spulber. "Agency Revisited." Harvard Business School Working Paper, No. 10-082, March 2010.
- Article
Third-Party Punishment as a Costly Signal of High Continuation Probabilities in Repeated Games
By: Jillian J. Jordan and David G. Rand
Why do individuals pay costs to punish selfish behavior, even as third-party observers? A large body of research suggests that reputation plays an important role in motivating such third-party punishment (TPP). Here we focus on a recently proposed reputation-based...
View Details
Jordan, Jillian J., and David G. Rand. "Third-Party Punishment as a Costly Signal of High Continuation Probabilities in Repeated Games." Journal of Theoretical Biology 421 (May 21, 2017): 189–202.
- September 2004
- Article
Trust in Agency
Existing models of the principal-agent relationship assume the agent works only under extrinsic incentives. However, many observed agency contracts take the form of a fixed payment. For such contracts to succeed, the principal must trust the agent to work in the...
View Details
Keywords:
Trust;
Agency Theory;
Relationships;
Behavior;
Motivation and Incentives;
Contracts;
Business Model;
Emotions;
Forecasting and Prediction;
Ethics;
Standards;
Risk and Uncertainty
Casadesus-Masanell, Ramon. "Trust in Agency." Journal of Economics & Management Strategy 13, no. 3 (September 2004): 375–404.
- 2015
- Working Paper
Political Identity and Trust
By: Pablo Hernandez and Dylan Minor
We explore how political identity affects trust. Using an incentivized experimental survey conducted on a representative sample of the U.S. population, we vary information about partners' partisan identity to elicit trust behavior, beliefs about trustworthiness, and...
View Details
Keywords:
Trust
Hernandez, Pablo, and Dylan Minor. "Political Identity and Trust." Harvard Business School Working Paper, No. 16-012, July 2015.
- January 26, 2016
- Article
Hiding Personal Information Reveals the Worst
By: Leslie K. John, Kate Barasz and Michael I. Norton
Seven experiments explore people's decisions to share or withhold personal information and the wisdom of such decisions. When people choose not to reveal information—to be "hiders"—they are judged negatively by others (experiment 1). These negative judgments emerge...
View Details
Keywords:
Disclosure;
Transparency;
Policy-making;
Privacy;
Information;
Corporate Disclosure;
Decision Choices and Conditions;
Trust
John, Leslie K., Kate Barasz, and Michael I. Norton. "Hiding Personal Information Reveals the Worst." Proceedings of the National Academy of Sciences 113, no. 4 (January 26, 2016): 954–959.
- June 2020
- Article
In Generous Offers I Trust: The Effect of First-offer Value on Economically Vulnerable Behaviors
By: M. Jeong, J. Minson and F. Gino
Negotiation scholarship espouses the importance of opening a bargaining situation with an aggressive offer, given the power of first offers to shape concessionary behavior and outcomes. In our research, we identify a surprising consequence to this common prescription....
View Details
Keywords:
Attribution;
Interpersonal Interaction;
Judgment;
Social Interaction;
Inference;
Open Data;
Open Materials;
Preregistered;
Negotiation Offer;
Strategy;
Behavior;
Interpersonal Communication;
Trust;
Outcome or Result
Jeong, M., J. Minson, and F. Gino. "In Generous Offers I Trust: The Effect of First-offer Value on Economically Vulnerable Behaviors." Psychological Science 31, no. 6 (June 2020): 644–653.
- 22 Apr 2019
- HBS Seminar
Francesca Rossi, AI Ethics Global Leader, IBM
- Forthcoming
- Article
Acceptance of Automated Vehicles Is Lower for Self than Others
By: Stuti Agarwal, Julian De Freitas, A. Ragnhildstveit and C. Morwedge
Road traffic accidents are the leading cause of death worldwide for people aged 2–59. Nearly all deaths are due to human error. Automated vehicles could reduce mortality risks, traffic congestion, and air pollution of human-driven vehicles. However, their adoption...
View Details
Agarwal, Stuti, Julian De Freitas, A. Ragnhildstveit, and C. Morwedge. "Acceptance of Automated Vehicles Is Lower for Self than Others." Journal of the Association for Consumer Research (forthcoming).
- October 2021
- Article
Communicating Resource Scarcity and Interpersonal Connection
By: Grant E. Donnelly, Anne V. Wilson, Ashley V. Whillans and Michael I. Norton
Consumers often cite insufficient time or money as an excuse for rejecting social invitations. We explore the effectiveness of these excuses in preserving interpersonal relationships. Six studies—including perceptions of couples planning their wedding—demonstrate that...
View Details
Keywords:
Time;
Interpersonal Relationships;
Communication;
Money;
Relationships;
Interpersonal Communication
Donnelly, Grant E., Anne V. Wilson, Ashley V. Whillans, and Michael I. Norton. "Communicating Resource Scarcity and Interpersonal Connection." Journal of Consumer Psychology 31, no. 4 (October 2021): 726–745.
- 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.
- 2024
- Conference Paper
Quantifying Uncertainty in Natural Language Explanations of Large Language Models
By: Himabindu Lakkaraju, Sree Harsha Tanneru and Chirag Agarwal
Large Language Models (LLMs) are increasingly used as powerful tools for several
high-stakes natural language processing (NLP) applications. Recent prompting
works claim to elicit intermediate reasoning steps and key tokens that serve as
proxy explanations for LLM...
View Details
Lakkaraju, Himabindu, Sree Harsha Tanneru, and Chirag Agarwal. "Quantifying Uncertainty in Natural Language Explanations of Large Language Models." Paper presented at the Society for Artificial Intelligence and Statistics, 2024.
Himabindu Lakkaraju
Himabindu "Hima" Lakkaraju is an Assistant Professor of Business Administration at Harvard Business School. She is also a faculty affiliate in the Department of Computer Science at Harvard University, the Harvard Data Science Initiative, Center for Research on... View Details