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- Faculty Publications (1,390)
Show Results For
- All HBS Web
(4,484)
- People (23)
- News (829)
- Research (2,770)
- Events (29)
- Multimedia (25)
- Faculty Publications (1,390)
- Feb 06 2018
- Testimonial
Advance Your Way of Thinking
- 1982
- Article
Children's Artistic Creativity: Detrimental Effects of Competition in a Field Setting
By: T. M. Amabile
Girls whose ages ranged from 7 to 11 years made paper collages during 1 of 2 residential parties. Those in the experimental group were competing for prizes, whereas those in the control group expected that the prizes would be raffled off. Artist-judges later rated each... View Details
Keywords: Creativity; Early Childhood Education; Motivation and Incentives; Situation or Environment; Competition; Teaching
Amabile, T. M. "Children's Artistic Creativity: Detrimental Effects of Competition in a Field Setting." Personality and Social Psychology Bulletin 8 (1982): 573–578.
- 30 Dec 2013
- Research & Ideas
Most Popular Articles of 2013
Most Popular Articles 2013 How to Spot a Liar Key linguistic cues can help reveal dishonesty during business negotiations, whether it's a flat-out lie or a deliberate omission of key information, according to research by Lyn M. Van Swol,... View Details
Keywords: by Staff
- 01 Oct 2008
- News
The Flawed Architecture of the Financial System
- 2024
- Working Paper
Pitfalls of Demographic Forecasts of U.S. Elections
By: Richard Calvo, Vincent Pons and Jesse M. Shapiro
Many observers have forecast large partisan shifts in the US electorate based on demographic trends. Such forecasts are appealing because demographic trends are often predictable even over long horizons. We backtest demographic forecasts using data on US elections... View Details
Keywords: Mathematical Methods; Voting; Political Elections; Trends; Forecasting and Prediction; Demographics
Calvo, Richard, Vincent Pons, and Jesse M. Shapiro. "Pitfalls of Demographic Forecasts of U.S. Elections." NBER Working Paper Series, No. 33016, October 2024.
- April 2013
- Article
An fMRI Investigation of Racial Paralysis
By: Michael I. Norton, Malia F. Mason, Joseph A. Vandello, Andrew Biga and Rebecca Dyer
We explore the existence and underlying neural mechanism of a new norm endorsed by both black and white Americans for managing interracial interactions: "racial paralysis," the tendency to opt out of decisions involving members of different races. We show that people... View Details
Keywords: Behavior; Race; Judgments; Decision Choices and Conditions; Personal Characteristics; United States
Norton, Michael I., Malia F. Mason, Joseph A. Vandello, Andrew Biga, and Rebecca Dyer. "An fMRI Investigation of Racial Paralysis." Social Cognitive and Affective Neuroscience 8, no. 4 (April 2013): 387–393.
- Research Summary
FDA Review Time of New Drug Applications
Study of FDA Review Time of New Drug Applications (NDAs) between 1990-2004. Three main questions are addressed: How the optimal innovation strategy for firms is contingent upon firm status positions in the knowledge domain; how knowledge status both enables and... View Details
- 02 Jan 2007
- Research & Ideas
Most Popular Articles of 2006
In the six-year history of Harvard Business School's Working Knowledge, some types of articles have always been popular with our readers. Want to generate a lot of reader buzz?... View Details
Keywords: by Sean Silverthorne
- August 2004 (Revised June 2005)
- Case
Fate of the Vasa, The
By: Alan D. MacCormack and Richard Mason
In 1628, the royal warship Vasa was launched. It was Sweden's most expensive naval vessel ever built, costing over 5% of GNP. On its maiden voyage, the ship sailed 1,400 yards in its own harbor, heeled over to the side, and then sank. One third of the 150 crew and... View Details
Keywords: History; Risk and Uncertainty; Technological Innovation; Ship Transportation; Product Design; Technology Adoption; Failure; Business and Government Relations; Product Development; Sweden
MacCormack, Alan D., and Richard Mason. "Fate of the Vasa, The." Harvard Business School Case 605-026, August 2004. (Revised June 2005.)
- September 2013
- Teaching Note
The Case of the Unidentified Industries—2013
By: Mihir A. Desai, William E. Fruhan, Jr. and Elizabeth A. Meyer
Helps students to understand how the characteristics of a business are reflected in its financial statements. This case consists of an exercise in which students are given balance sheet data in percentage form and other selected financial data for companies in 14... View Details
- September 2013
- Case
The Case of the Unidentified Industries—2013
By: Mihir A. Desai, William E. Fruhan Jr. and Elizabeth A. Meyer
Helps students to understand how the characteristics of a business are reflected in its financial statements. This case consists of an exercise in which students are given balance sheet data in percentage form and other selected financial data for companies in 14... View Details
Keywords: Financial Management; Accounting Statements; Ratio Analysis; Financial Statements; Finance
Desai, Mihir A., William E. Fruhan Jr., and Elizabeth A. Meyer. "The Case of the Unidentified Industries—2013." Harvard Business School Case 214-028, September 2013.
- 12 Apr 2013
- HBS Seminar
Gary Frazier, USC Marshall School of Business
- July 2008
- Article
Harnessing Our Inner Angels and Demons: What We Have Learned About Want/Should Conflicts and How That Knowledge Can Help Us Reduce Short-Sighted Decision Making
By: Katherine L. Milkman, Todd Rogers and Max Bazerman
Although observers of human behavior have long been aware that people regularly struggle with internal conflict when deciding whether to behave responsibly or indulge in impulsivity, psychologists and economists did not begin to empirically investigate this type of... View Details
Milkman, Katherine L., Todd Rogers, and Max Bazerman. "Harnessing Our Inner Angels and Demons: What We Have Learned About Want/Should Conflicts and How That Knowledge Can Help Us Reduce Short-Sighted Decision Making." Perspectives on Psychological Science 3, no. 4 (July 2008).
- 2007
- Working Paper
Harnessing Our Inner Angels and Demons: What We Have Learned About Want/Should Conflicts and How That Knowledge Can Help Us Reduce Short-Sighted Decision Making
By: Katherine L. Milkman, Todd Rogers and Max H. Bazerman
Although observers of human behavior have long been aware that people regularly struggle with internal conflict when deciding whether to behave responsibly or indulge in impulsivity, psychologists and economists did not begin to empirically investigate this type of... View Details
Milkman, Katherine L., Todd Rogers, and Max H. Bazerman. "Harnessing Our Inner Angels and Demons: What We Have Learned About Want/Should Conflicts and How That Knowledge Can Help Us Reduce Short-Sighted Decision Making." Harvard Business School Working Paper, No. 08-020, September 2007.
- May 2016
- Article
Transformation of Health Care—Perspectives of Opinion Leaders
By: Joanne Disch, Thomas W. Feeley, Diana J. Mason, Richard L. Schilsky, Ellen L. Stovall and Shelley Fuld Nasso
"What Health System Transformations Do You Believe Are Necessary for the Future of Health Care?" We need to transform to a true value-based health care delivery system. That means organizing care around medical conditions, not simply around hospitals and doctors. We... View Details
- 2016
- Article
The Mirroring Hypothesis: Theory, Evidence, and Exceptions
By: Lyra J. Colfer and Carliss Y. Baldwin
The mirroring hypothesis predicts that organizational ties within a project, firm, or group of firms (e.g., communication, collocation, employment) will correspond to the technical dependencies in the work being performed. This article presents a unified picture of... View Details
Keywords: Modularity; Mirroring Hypothesis; Organization Design; Conway's Law; Knowledge Boundaries; Relational Contracts; Open Source Software; Organizational Design; Organizational Structure; Boundaries; Knowledge Management; Applications and Software
Colfer, Lyra J., and Carliss Y. Baldwin. "The Mirroring Hypothesis: Theory, Evidence, and Exceptions." Industrial and Corporate Change 25, no. 5 (2016): 709–738. (Lead Article.)
- 2024
- Working Paper
The Value of AI Innovations
By: Wilbur Xinyuan Chen, Terrence Tianshuo Shi and Suraj Srinivasan
We study the value of AI innovations as it diffuses across general and application sectors, using the United States Patent and Trademark Office’s (USPTO) AI patent dataset. Investors value these innovations more than others, as AI patents exhibit a 9% value premium,... View Details
Keywords: AI and Machine Learning; Valuation; Technological Innovation; Open Source Distribution; Patents; Policy; Knowledge Sharing; Technology Industry
Chen, Wilbur Xinyuan, Terrence Tianshuo Shi, and Suraj Srinivasan. "The Value of AI Innovations." Harvard Business School Working Paper, No. 24-069, May 2024.
- 07 Oct 2015
- HBS Seminar
Florian Ederer, Assistant Professor of Economics, Yale School of Management
- May 2020
- Article
Into the Fray: Adaptive Approaches to Studying Novel Teamwork Forms
By: Michaela Kerrissey, Patricia Satterstrom and Amy C. Edmondson
Novel forms of teamwork—created by rapid change and growing diversity among collaborators—are increasingly common, and they present substantial methodological challenges for research. We highlight two aspects of new team forms that challenge conventional methods.... View Details
Keywords: Team Member Fluidity; Temporary Teams; Knowledge Diversity; Entitativity; Concordance; Methods; Groups and Teams; Problems and Challenges; Research
Kerrissey, Michaela, Patricia Satterstrom, and Amy C. Edmondson. "Into the Fray: Adaptive Approaches to Studying Novel Teamwork Forms." Special Issue on The Challenges of Working with "Real" Teams. Organizational Psychology Review 10, no. 2 (May 2020): 62–86.
- Article
Fast Generalized Subset Scan for Anomalous Pattern Detection
By: Edward McFowland III, Skyler Speakman and Daniel B. Neill
We propose Fast Generalized Subset Scan (FGSS), a new method for detecting anomalous patterns in general categorical data sets. We frame the pattern detection problem as a search over subsets of data records and attributes, maximizing a nonparametric scan statistic... View Details
Keywords: Pattern Detection; Anomaly Detection; Knowledge Discovery; Bayesian Networks; Scan Statistics; Analytics and Data Science
McFowland III, Edward, Skyler Speakman, and Daniel B. Neill. "Fast Generalized Subset Scan for Anomalous Pattern Detection." Art. 12. Journal of Machine Learning Research 14 (2013): 1533–1561.