Filter Results:
(8,631)
Show Results For
- All HBS Web
(8,631)
- People (24)
- News (2,324)
- Research (5,612)
- Events (19)
- Multimedia (259)
- Faculty Publications (4,114)
Show Results For
- All HBS Web
(8,631)
- People (24)
- News (2,324)
- Research (5,612)
- Events (19)
- Multimedia (259)
- Faculty Publications (4,114)
- February 2015
- Supplement
The Affordable Care Act (D): Making a Decision on the Employer-Sponsored Health Insurance Tax Exclusion
By: Joseph L. Bower and Michael Norris
In the summer of 2009, a meeting is called in the White House to discuss the impact of changing the rules on the employer-sponsored health insurance tax exclusion. View Details
Keywords: Health Care; Health Care Policy; Health; Government and Politics; Health Industry; United States
Bower, Joseph L., and Michael Norris. "The Affordable Care Act (D): Making a Decision on the Employer-Sponsored Health Insurance Tax Exclusion." Harvard Business School Supplement 315-035, February 2015.
- 2021
- Working Paper
When Does Uncertainty Matter?: Understanding the Impact of Predictive Uncertainty in ML Assisted Decision Making
By: Sean McGrath, Parth Mehta, Alexandra Zytek, Isaac Lage and Himabindu Lakkaraju
McGrath, Sean, Parth Mehta, Alexandra Zytek, Isaac Lage, and Himabindu Lakkaraju. "When Does Uncertainty Matter?: Understanding the Impact of Predictive Uncertainty in ML Assisted Decision Making." Working Paper, January 2021.
- 2006
- Working Paper
Too Hot to Handle? Engaging in Hot Conflict to Make Better Decisions and Build Resilient Management
By: Amy C. Edmondson and Diana M. Smith
- Article
How Do Fairness Definitions Fare? Examining Public Attitudes Towards Algorithmic Definitions of Fairness
By: Nripsuta Saxena, Karen Huang, Evan DeFilippis, Goran Radanovic, David C. Parkes and Yang Liu
What is the best way to define algorithmic fairness? While many definitions of fairness have been proposed in the computer science literature, there is no clear agreement over a particular definition. In this work, we investigate ordinary people’s perceptions of three... View Details
Saxena, Nripsuta, Karen Huang, Evan DeFilippis, Goran Radanovic, David C. Parkes, and Yang Liu. "How Do Fairness Definitions Fare? Examining Public Attitudes Towards Algorithmic Definitions of Fairness." Proceedings of the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (2019).
- January 1987
- Article
Posterior Implementability in a Two-person Decision Problem
By: Jerry R. Green and Jean-Jacques Laffont
When a decision rule is implemented using a Bayesian incentive compatible mechanism in which the messages are publicly observable, the players' information is augmented by their observation of each others' strategies. In this paper we study the set of Bayesian... View Details
Green, Jerry R., and Jean-Jacques Laffont. "Posterior Implementability in a Two-person Decision Problem." Econometrica 55, no. 1 (January 1987): 69–94.
- December 1971 (Revised November 1975)
- Background Note
Note on Decision Analysis
By: Paul W. Marshall
Marshall, Paul W. "Note on Decision Analysis." Harvard Business School Background Note 172-221, December 1971. (Revised November 1975.)
- December 2001
- Case
Sarah Vickers-Willis: Career Decisions (B)
By: Myra M. Hart, Lynda M. Applegate, Sarah Harden and Susan Saltrick
Supplements the (A) case. View Details
Keywords: Decisions; Leadership; Internet and the Web; Social Entrepreneurship; Personal Development and Career; Gender; Business Startups
Hart, Myra M., Lynda M. Applegate, Sarah Harden, and Susan Saltrick. "Sarah Vickers-Willis: Career Decisions (B)." Harvard Business School Case 802-112, December 2001.
- 23 Jun 2023
- HBS Case
This Company Lets Employees Take Charge—Even with Life and Death Decisions
Is it possible to truly empower employees to make their own decisions—even when those decisions could mean life or death? That is the question posed by Dutch home healthcare organization Buurtzorg, which has... View Details
- Research Summary
Overview
Grant uses a combination of laboratory and field experiments to harness consumers' cognitive and affective resources to increase their well-being. Consumers make countless daily decisions in the pursuit of happiness -- whether and how to spend or save their money, what... View Details
- 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; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States
Ascarza, Eva, and Ayelet Israeli. "Artea (B): Including Customer-Level Demographic Data." Harvard Business School Exercise 521-022, September 2020. (Revised July 2022.)
- October 2006 (Revised August 2008)
- Background Note
Performing Industry Research to Inform Investment Decisions
Conducting thorough research about an industry is often an important component of investment analysis. Written specifically for HBS MBA students, provides guidance on how to perform industry research to inform investment decisions. Provides detailed information about... View Details
El-Hage, Nabil N., and Ann Cullen. "Performing Industry Research to Inform Investment Decisions." Harvard Business School Background Note 207-069, October 2006. (Revised August 2008.)
- May 1993 (Revised October 1993)
- Case
Wesfarmers Limited.: The Dividend Decision
By: Dwight B. Crane
Crane, Dwight B. "Wesfarmers Limited.: The Dividend Decision." Harvard Business School Case 293-098, May 1993. (Revised October 1993.)
- 1965
- Article
Group Decision Making: A Report of an Experimental Study
By: Joseph L. Bower
When a group of people must decide on some one action, such as where shall we go out to dinner, or in an investment club which stock shall we buy, how do the individual members come to a decision that affords the best resolution of the question at hand for the group as... View Details
Bower, Joseph L. "Group Decision Making: A Report of an Experimental Study." Behavioral Science 10, no. 3 (1965): 277–289.
- 10 Jul 2014
- News
A Case for Group Risk-Taking
- 31 Jan 2007
- Working Paper Summaries
Behavioral Decision Research, Legislation, and Society: Three Cases
Keywords: by Max H. Bazerman
- November 14, 2015
- Other Article
Make or Buy Decisions Over Upstream and Downstream Inputs: An Investigation of Firm Boundaries Along Value Chains
By: Laura Alfaro, Pol Antràs, Davin Chor and Paola Conconi
Alfaro, Laura, Pol Antràs, Davin Chor, and Paola Conconi. "Make or Buy Decisions Over Upstream and Downstream Inputs: An Investigation of Firm Boundaries Along Value Chains." Vox, CEPR Policy Portal (November 14, 2015).
- 18 Nov 2016
- Conference Presentation
Rawlsian Fairness for Machine Learning
By: Matthew Joseph, Michael J. Kearns, Jamie Morgenstern, Seth Neel and Aaron Leon Roth
Motivated by concerns that automated decision-making procedures can unintentionally lead to discriminatory behavior, we study a technical definition of fairness modeled after John Rawls' notion of "fair equality of opportunity". In the context of a simple model of... View Details
Joseph, Matthew, Michael J. Kearns, Jamie Morgenstern, Seth Neel, and Aaron Leon Roth. "Rawlsian Fairness for Machine Learning." Paper presented at the 3rd Workshop on Fairness, Accountability, and Transparency in Machine Learning, Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD), November 18, 2016.
- 03 Nov 2003
- Research & Ideas
Making Money Making Movies
Universal that produce and distribute movies. More and more, fears of piracy impact decisions that industry executives make regarding release strategies. However, a different picture emerges for theatrical... View Details
- January 2002
- Case
Lycos (A): The Tripod Decision
By: Giovanni M. Gavetti, Jan W. Rivkin and Elizabeth Johnson
The Internet portal Lycos has acquired Tripod, a provider of home-page-building tools, and now must decide how to integrate the acquisition. View Details
Keywords: Integration; Organizational Structure; Situation or Environment; Mergers and Acquisitions; Internet and the Web; Decision Choices and Conditions; Web Services Industry
Gavetti, Giovanni M., Jan W. Rivkin, and Elizabeth Johnson. "Lycos (A): The Tripod Decision." Harvard Business School Case 702-435, January 2002.