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- Faculty Publications (347)
Show Results For
- All HBS Web (991)
- Faculty Publications (347)
- Article
Stereotype Content Model across Cultures: Universal Similarities and Some Differences
By: A.J.C. Cuddy, S.T. Fiske, V.S.Y. Kwan, P. Glick, S. Demoulin, J. Ph. Leyens and M.H. Bond
The stereotype content model (SCM; Fiske, Cuddy, Glick, & Xu, 2002) proposes potentially universal principles of societal stereotypes and their relation to social structure. Here, the SCM reveals theoretically grounded, cross-cultural, cross-groups' similarities and... View Details
Keywords: Cross-Cultural and Cross-Border Issues; Management Analysis, Tools, and Techniques; Relationships; Groups and Teams; Prejudice and Bias; Culture; Societal Protocols; East Asia; Europe
Cuddy, A.J.C., S.T. Fiske, V.S.Y. Kwan, P. Glick, S. Demoulin, J. Ph. Leyens, and M.H. Bond. "Stereotype Content Model across Cultures: Universal Similarities and Some Differences." British Journal of Social Psychology 48, no. 1 (March 2009).
- 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... View Details
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)... 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.
- 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... View Details
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.
- 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... View Details
Keywords: by George Riedel
- 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... View Details
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.
- 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,... View Details
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.
- 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).
- 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... View Details
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.
- 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... View Details
- February 2025
- Tutorial
Preparing Business Leaders for an Era of Climate Instability: Understanding and Managing Physical Climate Risk
By: Michael W. Toffel and Spencer Glendon
In this compelling video, Spencer Glendon, founder of Probable Futures and Executive Fellow at Harvard Business School, describes the profound implications of climate change for businesses, the economy, and societies around the world. Drawing from his background in... View Details
- 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... View Details
- 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.... View Details
Bordalo, Pedro, Nicola Gennaioli, Andrei Shleifer, and Stephen J. Terry. "Real Credit Cycles." NBER Working Paper Series, No. 28416, January 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... View Details
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... View Details
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.
- 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... View Details
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).
- 19 Oct 2010
- Working Paper Summaries
The Impact of Supply Learning on Customer Demand: Model and Estimation Methodology
- 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... View Details
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... View Details
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... View Details
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.)