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- Faculty Publications (325)
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- All HBS Web (987)
- Faculty Publications (325)
- 31 May 2023
- Research & Ideas
With Predictive Analytics, Companies Can Tap the Ultimate Opportunity: Customers’ Routines
used that information to predict how often and when a customer may request a car as part of their routine. The model could drill into specific kinds of routines, too: The model...
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- 2009
- Article
Social Structure Shapes Cultural Stereotypes and Emotions: A Causal Test of the Stereotype Content Model
By: P. Caprariello, A.J.C. Cuddy and S.T. Fiske
The stereotype content model (SCM) posits that social structure predicts specific cultural stereotypes and associated emotional prejudices (Fiske et al., 2002). No prior evidence at a societal level has manipulated both structural predictors and measured both...
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Keywords:
Competency and Skills;
Mathematical Methods;
Emotions;
Personal Characteristics;
Prejudice and Bias;
Status and Position;
Culture;
Competition
Caprariello, P., A.J.C. Cuddy, and S.T. Fiske. "Social Structure Shapes Cultural Stereotypes and Emotions: A Causal Test of the Stereotype Content Model." Group Processes & Intergroup Relations 12, no. 2 (2009): 147–155.
- 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)...
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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.
- January–February 2012
- Article
A Simple Model Relating Accruals to Risk, and its Implications for the Accrual Anomaly
By: Mozaffar N. Khan
This paper models systematic risk as a function of mean-reverting accruals. When the true abnormal returns are zero, but the true betas are empirically unobserved, the model predicts the anomalous pattern of empirical results on the accrual anomaly: (i) CAPM abnormal...
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Khan, Mozaffar N. "A Simple Model Relating Accruals to Risk, and its Implications for the Accrual Anomaly." Journal of Business Finance & Accounting 39, nos. 1-2 (January–February 2012): 35–59.
- 27 Jul 2019
- Op-Ed
Does Facebook's Business Model Threaten Our Elections?
business strategy, part of Facebook’s business model since at least 2010. That’s when Facebook opened up its Graph application programming interface (API) to advertisers, giving them access to user data including their social network...
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Keywords:
by George Riedel
- 1996
- Article
Evidence to Support the Componential Model of Creativity: Secondary Analyses of Three Studies
By: R. Conti, H. Coon and T. M. Amabile
Amabile's (1983a, 1983b, 1988) componential model of creativity predicts that three major components contribute to creativity: skills specific to the task domain, general (cross-domain) creativity-relevant skills, and task motivation. If all three components actually...
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Conti, R., H. Coon, and T. M. Amabile. "Evidence to Support the Componential Model of Creativity: Secondary Analyses of Three Studies." Creativity Research Journal 9, no. 4 (1996): 385–389.
- Article
Applying Random Coefficient Models to Strategy Research: Identifying and Exploring Firm Heterogeneous Effects
By: Juan Alcácer, Wilbur Chung, Ashton Hawk and Gonçalo Pacheco-de-Almeida
Strategy aims at understanding the differential effects of firms’ actions on performance. However, standard regression models estimate only the average effects of these actions across firms. Our paper discusses how random coefficient models (RCMs) may generate new...
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Alcácer, Juan, Wilbur Chung, Ashton Hawk, and Gonçalo Pacheco-de-Almeida. "Applying Random Coefficient Models to Strategy Research: Identifying and Exploring Firm Heterogeneous Effects." Strategy Science 3, no. 3 (September 2018): 481–553.
- 2008
- Article
Warmth and Competence As Universal Dimensions of Social Perception: The Stereotype Content Model and the BIAS Map
By: A. J.C. Cuddy, S. T. Fiske and P. Glick
The stereotype content model (SCM) defines two fundamental dimensions of social perception, warmth and competence, predicted respectively by perceived competition and status. Combinations of warmth and competence generate distinct emotions of admiration, contempt,...
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Keywords:
Perception;
Competency and Skills;
Prejudice and Bias;
Emotions;
Business Model;
Behavior;
Research;
Competition;
Status and Position;
Cognition and Thinking;
Groups and Teams
Cuddy, A. J.C., S. T. Fiske, and P. Glick. "Warmth and Competence As Universal Dimensions of Social Perception: The Stereotype Content Model and the BIAS Map." Advances in Experimental Social Psychology 40 (2008): 61–149.
- Research Summary
Manager Specific Human Capital Investment: A Model of Block Trading and Firm Stability
I develop a model in which workers can undertake specific human capital investments in the firm and in the manager employed by the firm. If the manager leaves the firm, a worker has to decide whether to join her in the new firm or stay in the old firm. In case of...
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- 2010
- Working Paper
A New Model of Leadership (PDF File of Keynote Slides)
By: Michael C. Jensen and Allan L. Scherr
In this paper we provide a new definition of leadership that gives organizations and individuals access to new power, performance and accomplishment. In our model leadership consists of four critical elements The creation of a vision for the future that represents a...
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- 2021
- Working Paper
Real Credit Cycles
By: Pedro Bordalo, Nicola Gennaioli, Andrei Shleifer and Stephen J. Terry
We incorporate diagnostic expectations, a psychologically founded model of overreaction to news, into a workhorse business cycle model with heterogeneous firms and risky debt. A realistic degree of diagnosticity, estimated from the forecast errors of managers of U.S....
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Bordalo, Pedro, Nicola Gennaioli, Andrei Shleifer, and Stephen J. Terry. "Real Credit Cycles." NBER Working Paper Series, No. 28416, January 2021.
- 19 Oct 2010
- Working Paper Summaries
The Impact of Supply Learning on Customer Demand: Model and Estimation Methodology
- Article
Towards Robust and Reliable Algorithmic Recourse
By: Sohini Upadhyay, Shalmali Joshi and Himabindu Lakkaraju
As predictive models are increasingly being deployed in high-stakes decision making (e.g., loan
approvals), there has been growing interest in post-hoc techniques which provide recourse to affected
individuals. These techniques generate recourses under the assumption...
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Keywords:
Machine Learning Models;
Algorithmic Recourse;
Decision Making;
Forecasting and Prediction
Upadhyay, Sohini, Shalmali Joshi, and Himabindu Lakkaraju. "Towards Robust and Reliable Algorithmic Recourse." Advances in Neural Information Processing Systems (NeurIPS) 34 (2021).
- 2019
- Working Paper
Managing Churn to Maximize Profits
By: Aurelie Lemmens and Sunil Gupta
Customer defection threatens many industries, prompting companies to deploy targeted, proactive customer retention programs and offers. A conventional approach has been to target customers either based on their predicted churn probability, or their responsiveness to a...
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Keywords:
Churn Management;
Defection Prediction;
Loss Function;
Stochastic Gradient Boosting;
Customer Relationship Management;
Consumer Behavior;
Profit
Lemmens, Aurelie, and Sunil Gupta. "Managing Churn to Maximize Profits." Harvard Business School Working Paper, No. 14-020, September 2013. (Revised December 2019. Forthcoming at Marketing Science.)
- September–October 2020
- Article
Managing Churn to Maximize Profits
By: Aurelie Lemmens and Sunil Gupta
Customer defection threatens many industries, prompting companies to deploy targeted, proactive customer retention programs and offers. A conventional approach has been to target customers either based on their predicted churn probability or their responsiveness to a...
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Keywords:
Churn Management;
Defection Prediction;
Loss Function;
Stochastic Gradient Boosting;
Customer Relationship Management;
Consumer Behavior;
Profit
Lemmens, Aurelie, and Sunil Gupta. "Managing Churn to Maximize Profits." Marketing Science 39, no. 5 (September–October 2020): 956–973.
- April 2014
- Article
The Emergence of 'Us and Them' in 80 Lines of Code: Modeling Group Genesis in Homogeneous Populations
By: Kurt Gray, David G. Rand, Eyal Ert, Kevin Lewis, Steve Hershman and Michael I. Norton
Psychological explanations of group genesis often require population heterogeneity in identity or other characteristics, whether deep (e.g., religion) or superficial (e.g., eye color). We use game-theoretical agent-based models to explore group genesis in homogeneous...
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Keywords:
Groups and Teams
Gray, Kurt, David G. Rand, Eyal Ert, Kevin Lewis, Steve Hershman, and Michael I. Norton. "The Emergence of 'Us and Them' in 80 Lines of Code: Modeling Group Genesis in Homogeneous Populations." Psychological Science 25, no. 4 (April 2014): 982–990.
- 2023
- Article
M4: A Unified XAI Benchmark for Faithfulness Evaluation of Feature Attribution Methods across Metrics, Modalities, and Models
By: Himabindu Lakkaraju, Xuhong Li, Mengnan Du, Jiamin Chen, Yekun Chai and Haoyi Xiong
While Explainable Artificial Intelligence (XAI) techniques have been widely studied to explain predictions made by deep neural networks, the way to evaluate the faithfulness of explanation results remains challenging, due to the heterogeneity of explanations for...
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Keywords:
AI and Machine Learning
Lakkaraju, Himabindu, Xuhong Li, Mengnan Du, Jiamin Chen, Yekun Chai, and Haoyi Xiong. "M4: A Unified XAI Benchmark for Faithfulness Evaluation of Feature Attribution Methods across Metrics, Modalities, and Models." Advances in Neural Information Processing Systems (NeurIPS) (2023).
- July 2023 (Revised July 2023)
- Background Note
Generative AI Value Chain
By: Andy Wu and Matt Higgins
Generative AI refers to a type of artificial intelligence (AI) that can create new content (e.g., text, image, or audio) in response to a prompt from a user. ChatGPT, Bard, and Claude are examples of text generating AIs, and DALL-E, Midjourney, and Stable Diffusion are...
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Keywords:
AI;
Artificial Intelligence;
Model;
Hardware;
Data Centers;
AI and Machine Learning;
Applications and Software;
Analytics and Data Science;
Value
Wu, Andy, and Matt Higgins. "Generative AI Value Chain." Harvard Business School Background Note 724-355, July 2023. (Revised July 2023.)
- March 2021
- Article
Bayesian Signatures of Confidence and Central Tendency in Perceptual Judgment
By: Yang Xiang, Thomas Graeber, Benjamin Enke and Samuel Gershman
This paper theoretically and empirically investigates the role of Bayesian noisy cognition in perceptual judgment, focusing on the central tendency effect: the well-known empirical regularity that perceptual judgments are biased towards the center of the...
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Xiang, Yang, Thomas Graeber, Benjamin Enke, and Samuel Gershman. "Bayesian Signatures of Confidence and Central Tendency in Perceptual Judgment." Attention, Perception, & Psychophysics (March 2021): 1–11.
- March 2020
- Supplement
People Analytics at Teach For America (B)
By: Jeffrey T. Polzer and Julia Kelley
This is a supplement to the People Analytics at Teach For America (A) case. In this supplement, situated one year after the A case, Managing Director Michael Metzger must decide how to apply his team's predictive models generated from the previous year’s data.
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Keywords:
Analytics;
Human Resource Management;
Data;
Workforce;
Hiring;
Talent Management;
Forecasting;
Predictive Analytics;
Organizational Behavior;
Recruiting;
Analytics and Data Science;
Forecasting and Prediction;
Recruitment;
Selection and Staffing;
Talent and Talent Management
Polzer, Jeffrey T., and Julia Kelley. "People Analytics at Teach For America (B)." Harvard Business School Supplement 420-086, March 2020.