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Show Results For
- All HBS Web
(3,417)
- People (9)
- News (720)
- Research (2,193)
- Events (38)
- Multimedia (28)
- Faculty Publications (1,298)
Expertise Dissensus: A Multi-level Model of Teams' Differing Perceptions about Member Expertise
Why are some teams more effective than others at using their members' expertise to achieve short-term performance and longer term developmental benefits? We propose that a critical factor is expertise dissensus-members' differing perceptions of each other's level of... View Details
- 15 Aug 2023
- Research & Ideas
Why Giving to Others Makes Us Happy
private, these types of experiments provide a conservative test of whether giving to other people can increase positive mood.” After keeping the goody-bag for themselves or giving it away to others, the researchers asked questions to... View Details
Keywords: by Michael Blanding
- 2014
- Working Paper
The Unfairness Trap: A Key Missing Factor in the Economic Theory of Discrimination
By: Jordan I. Siegel, Naomi Kodama and Hanna Halaburda
Prior evidence linking increased female representation in management to corporate performance has been surprisingly mixed, due in part to data limitations and methodological difficulties, and possibly to omission of a fairness factor in the economic theory of... View Details
Siegel, Jordan I., Naomi Kodama, and Hanna Halaburda. "The Unfairness Trap: A Key Missing Factor in the Economic Theory of Discrimination." Harvard Business School Working Paper, No. 13-082, March 2013. (Revised January 2014, June 2014.)
- July – August 2011
- Article
Deliberate Learning to Improve Performance in Dynamic Service Settings: Evidence from Hospital Intensive Care Units
By: I. M. Nembhard and A. L. Tucker
Dynamic service settings-characterized by workers who interact with customers to deliver services in a rapidly changing, uncertain, and complex environment (e.g., hospitals)-play an important role in the economy. Organizational learning studies in these settings have... View Details
Keywords: Experience and Expertise; Customer Focus and Relationships; Learning; Health Care and Treatment; Service Delivery; Performance Improvement; Quality; Groups and Teams; Cooperation; Health Industry
Nembhard, I. M., and A. L. Tucker. "Deliberate Learning to Improve Performance in Dynamic Service Settings: Evidence from Hospital Intensive Care Units." Organization Science 22, no. 4 (July–August 2011): 907–922.
- 29 Oct 2024
- HBS Seminar
Lynn Wu, Wharton
- 26 Mar 2024
- Research & Ideas
How Humans Outshine AI in Adapting to Change
research with Ahmet Kaan Uğuralp and Zeliha Oğuz-Uğuralp of Turkey’s Bilkent University; L. A. Paul of Yale University; Joshua Tenenbaum of the Massachusetts Institute of Technology; and Tomer D. Ullman, an assistant professor in Harvard’s Psychology Department. How... View Details
- 06 Nov 2006
- Research & Ideas
How South Africa Challenges Our Thinking on FDI
after all. Many companies find it optimal to pick their niche rather than to try to completely diversify across risks. Q: How do you think the South African economy will evolve over the next five to ten years? A: A major test for South... View Details
Keywords: by Martha Lagace
- 19 Oct 2021
- Cold Call Podcast
Should Global Beer Company Molson Coors Dive into the Cannabis Beverages Business?
Keywords: Re: Derek C. M. van Bever
- 02 Nov 2006
- Working Paper Summaries
Organizational Response to Environmental Demands: Opening the Black Box
Keywords: by Magali A. Delmas & Michael W. Toffel
- 2024
- Working Paper
Advice and the Bayesian Entrepreneur
By: Susan Cohen and Rembrand Koning
Bayesian entrepreneurship starts from the premise that entrepreneurs’ beliefs guide their theorizing, experimentation, and choices (Agrawal et al., n.d.). Since each entrepreneur has unique beliefs based on their own set of past experiences, cognitive ability, and... View Details
Cohen, Susan, and Rembrand Koning. "Advice and the Bayesian Entrepreneur." Harvard Business School Working Paper, No. 25-029, November 2024.
- April 2024
- Article
Demand-and-Supply Imbalance Risk and Long-Term Swap Spreads
By: Samuel G. Hanson, Aytek Malkhozov and Gyuri Venter
We develop and test a model in which swap spreads are determined by end users' demand for
and constrained intermediaries’ supply of long-term interest rate swaps. Swap spreads reflect
compensation both for using scarce intermediary capital and for bearing convergence... View Details
Keywords: Swap Spreads; Credit Derivatives and Swaps; Interest Rates; Risk and Uncertainty; Volatility
Hanson, Samuel G., Aytek Malkhozov, and Gyuri Venter. "Demand-and-Supply Imbalance Risk and Long-Term Swap Spreads." Art. 103814. Journal of Financial Economics 154 (April 2024).
- March 2024
- Case
Biomanufacturing Decentralization by Stämm
By: Paul A. Gompers, Jenyfeer Martínez Buitrago and Mariana Cal
In Buenos Aires, Argentina, cousins Llamazares and D’Alvia founded Stämm, a startup based on the idea of decentralizing biomanufacturing processes and downsizing biotech facilities. After raising its seed and series A rounds, and while finalizing its series B round in... View Details
Keywords: Business Model; Business Startups; Entrepreneurship; Venture Capital; Selection and Staffing; Technological Innovation; Science-Based Business; Business Strategy; Commercialization; Growth and Development Strategy; Product Launch; Research and Development; Biotechnology Industry; Latin America; South America; Argentina; Buenos Aires
Gompers, Paul A., Jenyfeer Martínez Buitrago, and Mariana Cal. "Biomanufacturing Decentralization by Stämm." Harvard Business School Case 824-190, March 2024.
- 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.)
- March 2012
- Article
The Hierarchical Face: Higher Rankings Lead to Less Cooperative Looks
By: Patricia Chen, Christopher G. Myers, Shirli Kopelman and Stephen M. Garcia
In 3 studies, we tested the hypothesis that the higher ranked an individual's group is, the less cooperative the facial expression of that person is judged to be. Study 1 established this effect among business school deans, with observers rating individuals from higher... View Details
Chen, Patricia, Christopher G. Myers, Shirli Kopelman, and Stephen M. Garcia. "The Hierarchical Face: Higher Rankings Lead to Less Cooperative Looks." Journal of Applied Psychology 97, no. 2 (March 2012): 479–486.
- 2012
- Working Paper
Expertise Dissensus: A Multi-level Model of Teams' Differing Perceptions about Member Expertise
By: Heidi K. Gardner and Lisa Kwan
Why are some teams more effective than others at using their members' expertise to achieve short-term performance and longer term developmental benefits? We propose that a critical factor is expertise dissensus-members' differing perceptions of each other's level of... View Details
Keywords: Groups and Teams; Failure; Experience and Expertise; Research; Performance Effectiveness; Knowledge Use and Leverage; Perception; Personal Development and Career
Gardner, Heidi K., and Lisa Kwan. "Expertise Dissensus: A Multi-level Model of Teams' Differing Perceptions about Member Expertise." Harvard Business School Working Paper, No. 12-070, February 2012. (Revised March 2012.)
- August 2006
- Article
Investor Sentiment and the Cross Section of Stock Returns
By: Malcolm Baker and Jeffrey Wurgler
We examine how investor sentiment affects the cross-section of stock returns. Theory predicts that a broad wave of sentiment will disproportionately affect stocks whose valuations are highly subjective and are difficult to arbitrage. We test this prediction by... View Details
Keywords: Behavioral Finance; Stocks; Investment Return; Forecasting and Prediction; Motivation and Incentives; Risk and Uncertainty; Volatility
Baker, Malcolm, and Jeffrey Wurgler. "Investor Sentiment and the Cross Section of Stock Returns." Journal of Finance 61, no. 4 (August 2006): 1645–1680.
- 21 Jul 2020
- News
New Models for a New World
- 12 Mar 2024
- Research & Ideas
Publish or Perish: What the Research Says About Productivity in Academia
publication outputs also works against tenured professors, who typically spend more time on longer lead-time projects, such as writing books or advising policymakers. The Harvard team looked instead at per-hour research output to test the... View Details
- 18 May 2007
- Working Paper Summaries
Media Markets and Localism: Does Local News en Español Boost Hispanic Voter Turnout?
- Research Summary
Violence and Forced Migration
Professor Fabbe’s second area of research focuses on individual and collective responses to violence and forced migration. Under this research stream, she has implemented large survey projects in Iraq, Turkey, and Morocco. Her work in Turkey tests the notion that... View Details