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(2,962)
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- Faculty Publications (1,425)
Show Results For
- All HBS Web
(2,962)
- News (477)
- Research (2,192)
- Events (43)
- Multimedia (14)
- Faculty Publications (1,425)
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- January 2021
- Article
How Personality and Policy Predict Pandemic Behavior: Understanding Sheltering-in-Place in 55 Countries at the Onset of COVID-19
By: Friedrich M. Götz, Andrés Gvirtz, Adam D. Galinsky and Jon M. Jachimowicz
The spread of COVID-19 within any given country or community at the onset of the pandemic depended in part on the sheltering-in-place rate of its citizens. The pandemic led us to revisit one of psychology’s most fundamental and most basic questions in a high-stakes... View Details
Keywords: COVID; COVID-19; Pandemic; Shelter-in-place; Personality; Government; Interactionism; Health Pandemics; Behavior; Personal Characteristics; Policy; Governance Compliance
Götz, Friedrich M., Andrés Gvirtz, Adam D. Galinsky, and Jon M. Jachimowicz. "How Personality and Policy Predict Pandemic Behavior: Understanding Sheltering-in-Place in 55 Countries at the Onset of COVID-19." American Psychologist 76, no. 1 (January 2021): 39–49.
- May 2012
- Article
Adding Bricks to Clicks: Predicting the Patterns of Cross-Channel Elasticities over Time
By: Jill Avery, Thomas J. Steenburgh, John Deighton and Mary Caravella
The authors propose a conceptual framework to explain whether and when the introduction of a new retail store channel helps or hurts sales in existing direct channels. A conceptual framework separates short- and long-term effects by analyzing the capabilities of a... View Details
Keywords: Marketing; Channels; Channels Of Distribution; Distribution; Retailing; Channel Management; Channel Migration; Multichannel Retailing; Framework; Customers; Marketing Channels; Sales; Internet and the Web; Demand and Consumers; Competency and Skills; Distribution Channels; E-commerce; Retail Industry; United States
Avery, Jill, Thomas J. Steenburgh, John Deighton, and Mary Caravella. "Adding Bricks to Clicks: Predicting the Patterns of Cross-Channel Elasticities over Time." Journal of Marketing 76, no. 3 (May 2012): 96–111.
- Article
The Selective Labels Problem: Evaluating Algorithmic Predictions in the Presence of Unobservables
By: Himabindu Lakkaraju, Jon Kleinberg, Jure Leskovec, Jens Ludwig and Sendhil Mullainathan
Lakkaraju, Himabindu, Jon Kleinberg, Jure Leskovec, Jens Ludwig, and Sendhil Mullainathan. "The Selective Labels Problem: Evaluating Algorithmic Predictions in the Presence of Unobservables." Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining 23rd (2017).
- June 2019
- Supplement
Improving Worker Safety in the Era of Machine Learning: Practicum in Predictive Analytics
By: Michael W. Toffel and Dan Levy
- 09 Dec 2015
- Research Event
How Do You Predict Demand and Set Prices For Products Never Sold Before?
explained that the world of business analytics includes descriptive analytics (analyzing what has happened), predictive analytics (analyzing data to figure out what will probably happen), and prescriptive analytics (using data to decide... View Details
- Article
Common Variants of the Oxytocin Receptor Gene Do Not Predict the Positive Mood Benefits of Prosocial Spending
By: Ashley V. Whillans, Lara B. Aknin, Colin Ross, Lihan Chen and Frances S. Chen
Who benefits most from helping others? Previous research suggests that common polymorphisms of the oxytocin receptor gene (OXTR) predict whether people behave generously and experience increases in positive mood in response to socially-focused experiences in daily... View Details
Keywords: Prosocial Behavior; Positivity; Behavior Genetics; Individual Differences; Behavior; Emotions; Genetics; Spending
Whillans, Ashley V., Lara B. Aknin, Colin Ross, Lihan Chen, and Frances S. Chen. "Common Variants of the Oxytocin Receptor Gene Do Not Predict the Positive Mood Benefits of Prosocial Spending." Emotion 20, no. 5 (August 2020): 734–749.
- 1995
- Chapter
Alternative Models of Negotiated Outcomes and the Nontraditional Utility Concerns That Limit Their Predictability
By: S. B. White, M. H. Bazerman and M. A. Neale
White, S. B., M. H. Bazerman, and M. A. Neale. "Alternative Models of Negotiated Outcomes and the Nontraditional Utility Concerns That Limit Their Predictability." In Research on Negotiation in Organizations, edited by R. J. Bies, R. Lewicki, and B. Sheppard. Greenwich, CT: JAI Press, 1995.
- 01 Mar 2013
- Working Paper Summaries
Hurry Up and Wait: Differential Impacts of Congestion, Bottleneck Pressure, and Predictability on Patient Length of Stay
- Article
Predicting Soccer Matches after Unconscious and Conscious Thought as a Function of Expertise
Keywords: Cognition and Thinking
Dijksterhuis, Ap, Maarten W. Bos, Andries Van der Leij, and Rick B. Van Baaren. "Predicting Soccer Matches after Unconscious and Conscious Thought as a Function of Expertise." Psychological Science 20, no. 11 (November 2009): 1381–1387.
- 2013
- Article
Nations' Income Inequality Predicts Ambivalence in Stereotype Content: How Societies Mind the Gap
By: Federica Durante, S. T. Fiske, Nicolas Kervyn and Amy J.C. Cuddy
Income inequality undermines societies: the more inequality, the more health problems, social tensions, and the lower social mobility, trust, and life expectancy. Given people's tendency to legitimate existing social arrangements, the Stereotype Content Model (SCM)... View Details
Keywords: Stereotypes; Cross-cultural/cross-border; Inequality; Prejudice and Bias; Equality and Inequality; Income; Cross-Cultural and Cross-Border Issues; Power and Influence
Durante, Federica, S. T. Fiske, Nicolas Kervyn, and Amy J.C. Cuddy. "Nations' Income Inequality Predicts Ambivalence in Stereotype Content: How Societies Mind the Gap." British Journal of Social Psychology 52, no. 4 (December 2013): 726–746.
- 2020
- Conference Presentation
A Performance-optimized Limb Detection Model Selectively Predicts Behavioral Responses Based on Movement Similarity
By: X. Zhao, J. De Freitas, L. Tarhan and G. A. Alvarez
- June 2019
- Teaching Note
Improving Worker Safety in the Era of Machine Learning: Practicum in Predictive Analytics
By: Michael W. Toffel and Dan Levy
Teaching Note for HBS No. 618-019. View Details
- June 2019
- Supplement
Improving Worker Safety in the Era of Machine Learning: Introduction to Predictive Analytics
By: Michael W. Toffel and Dan Levy
- June 2019
- Teaching Note
Improving Worker Safety in the Era of Machine Learning: Introduction to Predictive Analytics
By: Michael W. Toffel and Dan Levy
Teaching Note for HBS No. 618-019. View Details
- 2013
- Working Paper
Applying Random Coefficient Models to Strategy Research: Testing for Firm Heterogeneity, Predicting Firm-Specific Coefficients, and Estimating Strategy Trade-Offs
By: Juan Alcacer, Wilbur Chung, Ashton Hawk and Goncalo Pacheco-de-Almeida
Although Strategy research aims to understand how firm actions have differential effects on performance, most empirical research estimates the average effects of these actions across firms. This paper promotes Random Coefficients Models (RCMs) as an ideal empirical... View Details
Alcacer, Juan, Wilbur Chung, Ashton Hawk, and Goncalo Pacheco-de-Almeida. "Applying Random Coefficient Models to Strategy Research: Testing for Firm Heterogeneity, Predicting Firm-Specific Coefficients, and Estimating Strategy Trade-Offs." Harvard Business School Working Paper, No. 14-022, September 2013.
- Article
Valuing Time Over Money Predicts Happiness After a Major Life Transition: A Preregistered Longitudinal Study of Graduating Students
By: A.V. Whillans, Lucia Macchia and Elizabeth Dunn
How does prioritizing time or money shape major life decisions and subsequent well-being? In a preregistered longitudinal study of approximately 1000 graduating university students, respondents who valued time over money chose more intrinsically rewarding activities... View Details
Keywords: Time Use; Trade-offs; Career Decisions; Time Management; Money; Happiness; Values and Beliefs; Personal Development and Career
Whillans, A.V., Lucia Macchia, and Elizabeth Dunn. "Valuing Time Over Money Predicts Happiness After a Major Life Transition: A Preregistered Longitudinal Study of Graduating Students." Science Advances 5, no. 9 (September 2019).
- 2016
- Working Paper
Paying for the Truth: The Efficacy of a Peer Prediction Mechanism in the Field
By: Natalia Rigol and Benjamin N. Roth
Rigol, Natalia, and Benjamin N. Roth. "Paying for the Truth: The Efficacy of a Peer Prediction Mechanism in the Field." Working Paper, April 2016.
- June 2019
- Supplement
Improving Worker Safety in the Era of Machine Learning: Practicum in Predictive Analytics
By: Michael W. Toffel and Dan Levy