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Show Results For
- All HBS Web
(10,222)
- People (24)
- News (3,078)
- Research (6,355)
- Events (31)
- Multimedia (275)
- Faculty Publications (4,496)
- March 2023
- Article
Giving-by-proxy Triggers Subsequent Charitable Behavior
By: Samantha Kassirer, Jillian J. Jordan and Maryam Kouchaki
How can we foster habits of charitable giving? Here, we investigate the potential power of giving-by-proxy experiences, drawing inspiration from a growing trend in marketing and corporate social responsibility contexts in which organizations make charitable... View Details
Kassirer, Samantha, Jillian J. Jordan, and Maryam Kouchaki. "Giving-by-proxy Triggers Subsequent Charitable Behavior." Art. 104438. Journal of Experimental Social Psychology 105 (March 2023).
- 1 Feb 2008
- Lecture
The Devil Wears Prada: The Effect of Exposure to Luxury Goods on Ethical Decision Making
By: Roy Y.J. Chua and X. Zou
- 21 Feb 2019
- Blog Post
Machine Learning and Behavioral Economics
Parkinson’s, that would otherwise make independent eating difficult or impossible. “We could collect a lot of information on people’s tremors as they use the spoon” says Bracaglia, “giving us insight into how people use it, how their... View Details
- October 2000 (Revised December 2000)
- Exercise
Participant and Leader Behavior: Group Decision Simulation (C)
This series provides the instructions for a group decision-making simulation in which students experience four different methods for leading a group decision process. In the simulation, all students work in groups, with one person designated as the team leader. All... View Details
"Participant and Leader Behavior: Group Decision Simulation (C)." Harvard Business School Exercise 301-028, October 2000. (Revised December 2000.)
- October 2000 (Revised December 2000)
- Exercise
Participant and Leader Behavior: Group Decision Simulation (E)
This series provides the instructions for a group decision-making simulation in which students experience four different methods for leading a group decision process. In the simulation, all students work in groups, with one person designated as the team leader. All... View Details
"Participant and Leader Behavior: Group Decision Simulation (E)." Harvard Business School Exercise 301-030, October 2000. (Revised December 2000.)
- 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.
- February 1991
- Case
Burlington Northern: The ARES Decision (A)
By: Julie H. Hertenstein and Robert S. Kaplan
Burlington Northern's decision whether to invest in ARES, an automated train control system, is a ($350 million) strategic investment in information technology. Although set in a service industry (railroad) the issues around this decision arise in many organizations... View Details
Keywords: Investment; Rail Transportation; Information Technology; Competitive Strategy; Performance Evaluation; Performance Effectiveness; Cost vs Benefits; Technology Adoption; Technological Innovation; Customers; Quality; Rail Industry
Hertenstein, Julie H., and Robert S. Kaplan. "Burlington Northern: The ARES Decision (A)." Harvard Business School Case 191-122, February 1991.
- October 2000 (Revised December 2000)
- Exercise
Participant and Leader Behavior: Group Decision Simulation (D)
This series provides the instructions for a group decision-making simulation in which students experience four different methods for leading a group decision process. In the simulation, all students work in groups, with one person designated as the team leader. All... View Details
"Participant and Leader Behavior: Group Decision Simulation (D)." Harvard Business School Exercise 301-029, October 2000. (Revised December 2000.)
- October 2000 (Revised December 2000)
- Exercise
Participant and Leader Behavior: Group Decision Simulation (F)
This series provides the instructions for a group decision-making simulation in which students experience four different methods for leading a group decision process. In the simulation, all students work in groups, with one person designated as the team leader. All... View Details
"Participant and Leader Behavior: Group Decision Simulation (F)." Harvard Business School Exercise 301-049, October 2000. (Revised December 2000.)
- Web
Organizational Behavior - Faculty & Research
Organizational Behavior Overview Faculty Curriculum Seminars & Conferences Awards & Honors Doctoral Students 2016 Distinguished Scholar Award Organization Development & Change Division, Academy of Management By: Michael Tushman More... View Details
- 2019
- Article
More Amazon Effects: Online Competition and Pricing Behaviors
By: Alberto Cavallo
I study how online competition, with its shrinking margins, algorithmic pricing technologies, and the transparency of the web, can change the pricing behavior of large retailers in the U.S. and affect aggregate inflation dynamics. In particular, I show that in the past... View Details
Keywords: Amazon; Online Prices; Inflation; Uniform Pricing; Price Stickiness; Monetary Economics; Economics; Macroeconomics; Inflation and Deflation; System Shocks; United States
Cavallo, Alberto. "More Amazon Effects: Online Competition and Pricing Behaviors." Jackson Hole Economic Symposium Conference Proceedings (Federal Reserve Bank of Kansas City) (2019).
- 30 Jan 2006
- Research & Ideas
Looking Behind Bad Decisions
political science to explain drivers behind the crafting of public policy. Now Bazerman and coauthors Jonathan Baron and Katherine Shonk are looking into the psychology of decision making to provide a fuller... View Details
Keywords: by Manda Salls
- 2017
- Other Teaching and Training Material
Organizational Behavior Reading: Leading Organizational Change
By: Ryan Raffaelli
This reading combines conceptual frameworks and research-based knowledge to provide practical guidance about how to lead organization change. The essential reading outlines key choices leaders must make when managing a change and the common traps that can cause a... View Details
Raffaelli, Ryan. "Organizational Behavior Reading: Leading Organizational Change." Core Curriculum Readings Series. Boston, MA: Harvard Business Publishing 8324, 2017.
- 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
- 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.
- 13 Jan 2014
- News
The Science Behind Our Self-Defeating Behavior
- May 2017
- Article
Experimental Evidence of Pooling Outcomes Under Information Asymmetry
By: William Schmidt and Ryan W. Buell
Operational decisions under information asymmetry can signal a firm's prospects to less-informed parties, such as investors, customers, competitors, and regulators. Consequently, managers in these settings often face a tradeoff between making an optimal decision and... View Details
Keywords: Behavioral Decision Research; Information Asymmetry; Signaling; Decision Choices and Conditions; Alignment
Schmidt, William, and Ryan W. Buell. "Experimental Evidence of Pooling Outcomes Under Information Asymmetry." Management Science 63, no. 5 (May 2017): 1586–1605.
- 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.