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- All HBS Web
(1,695)
- People (1)
- News (607)
- Research (870)
- Events (4)
- Multimedia (3)
- Faculty Publications (302)
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- October 2021
- Article
Changing Gambling Behavior through Experiential Learning
By: Shawn A. Cole, Martin Abel and Bilal Zia
This paper tests experiential learning as a debiasing tool to reduce gambling in South Africa, through a randomized field experiment. The study implements a simple, interactive game that simulates the odds of winning the national lottery through dice rolling.... View Details
Keywords: Debiasing; Experiential Learning; Behavioral Economics; Financial Education; Learning; Games, Gaming, and Gambling; Behavior; Decision Making
Cole, Shawn A., Martin Abel, and Bilal Zia. "Changing Gambling Behavior through Experiential Learning." World Bank Economic Review 35, no. 3 (October 2021): 745–763.
- 26 Apr 2020
- Other Presentation
Towards Modeling the Variability of Human Attention
By: Kuno Kim, Megumi Sano, Julian De Freitas, Daniel Yamins and Nick Haber
Children exhibit extraordinary exploratory behaviors hypothesized to contribute to the building of models of their world. Harnessing this capacity in artificial systems promises not only more flexible technology but also cognitive models of the developmental processes... View Details
Keywords: Exploratory Learning Behaviors; Modeling; Artificial Intelligence; AI and Machine Learning
Kim, Kuno, Megumi Sano, Julian De Freitas, Daniel Yamins, and Nick Haber. "Towards Modeling the Variability of Human Attention." In Bridging AI and Cognitive Science (BAICS) Workshop. 8th International Conference on Learning Representations (ICLR), April 26, 2020.
- Research Summary
The Learning As BehaviorS (LABS) Model
The Learning As BehaviorS (LABS) Model of Expertise Development integrates research from management, cognitive psychology, educational psychology and neuroscience to describe the process of how a novice achieves expertise. Defining expertise as the ability to... View Details
- June 30, 2020
- Article
Scaling Up Behavioral Science Interventions in Online Education
By: Rene F. Kizilcec, Justin Reich, Michael Yeomans, Christoph Dann, Emma Brunskill, Glenn Lopez, Selen Turkay, Joseph J. Williams and Dustin Tingley
Online education is rapidly expanding in response to rising demand for higher and continuing education, but many online students struggle to achieve their educational goals. Several behavioral science interventions have shown promise in raising student persistence and... View Details
Keywords: Online Learning; Behavioral Interventions; Scale; Education; Online Technology; Performance Improvement
Kizilcec, Rene F., Justin Reich, Michael Yeomans, Christoph Dann, Emma Brunskill, Glenn Lopez, Selen Turkay, Joseph J. Williams, and Dustin Tingley. "Scaling Up Behavioral Science Interventions in Online Education." Proceedings of the National Academy of Sciences 117, no. 26 (June 30, 2020).
- 2012
- Dictionary Entry
Learning from Failure
By: Mark D. Cannon and Amy C. Edmondson
Failure is defined as an outcome that deviates from expected and desired results. Learning from failure describes processes and behaviors through which individuals, groups and organizations gain accurate and useful insights from failures and modify future behaviors,... View Details
Cannon, Mark D., and Amy C. Edmondson. "Learning from Failure." In Encyclopedia of the Sciences of Learning, edited by Norbert M. Seel, 1859–1863. New York: Springer, 2012.
- 21 Feb 2019
- Blog Post
Machine Learning and Behavioral Economics
This is a repost from the recruiting blog. For John Bracaglia, his academic and professional careers have been driven by two themes: “machine learning and behavioral economics,” he says. “The two work... View Details
- January 2021
- Article
Machine Learning for Pattern Discovery in Management Research
By: Prithwiraj Choudhury, Ryan Allen and Michael G. Endres
Supervised machine learning (ML) methods are a powerful toolkit for discovering robust patterns in quantitative data. The patterns identified by ML could be used for exploratory inductive or abductive research, or for post-hoc analysis of regression results to detect... View Details
Keywords: Machine Learning; Supervised Machine Learning; Induction; Abduction; Exploratory Data Analysis; Pattern Discovery; Decision Trees; Random Forests; Neural Networks; ROC Curve; Confusion Matrix; Partial Dependence Plots; AI and Machine Learning
Choudhury, Prithwiraj, Ryan Allen, and Michael G. Endres. "Machine Learning for Pattern Discovery in Management Research." Strategic Management Journal 42, no. 1 (January 2021): 30–57.
- Teaching Interest
Organizational Behavior
Each of us maintains a set of beliefs and general assumptions about humans and their behavior, and those assumptions form the foundation for our beliefs about what motivates individuals; about how individuals make decisions; and about the ways in which the... View Details
- December 1999
- Article
Psychological Safety and Learning Behavior in Work Teams
By: A. Edmondson
Edmondson, A. "Psychological Safety and Learning Behavior in Work Teams." Administrative Science Quarterly 44, no. 4 (December 1999): 350–383. (Outstanding Publication in Organizational Behavior, 2000 by the Academy of Management.)
- 2019
- Article
An Empirical Study of Rich Subgroup Fairness for Machine Learning
By: Michael J Kearns, Seth Neel, Aaron Leon Roth and Zhiwei Steven Wu
Kearns et al. [2018] recently proposed a notion of rich subgroup fairness intended to bridge the gap between statistical and individual notions of fairness. Rich subgroup fairness picks a statistical fairness constraint (say, equalizing false positive rates across... View Details
Kearns, Michael J., Seth Neel, Aaron Leon Roth, and Zhiwei Steven Wu. "An Empirical Study of Rich Subgroup Fairness for Machine Learning." Proceedings of the Conference on Fairness, Accountability, and Transparency (2019): 100–109.
- March 2022
- Article
Learning to Rank an Assortment of Products
By: Kris Ferreira, Sunanda Parthasarathy and Shreyas Sekar
We consider the product ranking challenge that online retailers face when their customers typically behave as “window shoppers”: they form an impression of the assortment after browsing products ranked in the initial positions and then decide whether to continue... View Details
Keywords: Online Learning; Product Ranking; Assortment Optimization; Learning; Internet and the Web; Product Marketing; Consumer Behavior; E-commerce
Ferreira, Kris, Sunanda Parthasarathy, and Shreyas Sekar. "Learning to Rank an Assortment of Products." Management Science 68, no. 3 (March 2022): 1828–1848.
- Article
From Orientation to Behavior: The Interplay Between Learning Orientation, Open-mindedness, and Psychological Safety in Team Learning
By: Jean-François Harvey, Kevin J. Johnson, Kathryn S. Roloff and Amy C. Edmondson
Do teams with motivation to learn actually engage in the behaviors that produce learning? Though team learning orientation has been found to be positively related to team learning, we know little about how and when it actually fosters team learning. It is obviously not... View Details
Keywords: Emergent States; Goal Orientation; Open-mindedness; Psychological Safety; Team Learning; Teams; Groups and Teams; Learning; Goals and Objectives
Harvey, Jean-François, Kevin J. Johnson, Kathryn S. Roloff, and Amy C. Edmondson. "From Orientation to Behavior: The Interplay Between Learning Orientation, Open-mindedness, and Psychological Safety in Team Learning." Human Relations 72, no. 11 (November 2019): 1726–1751.
- August 2020
- Article
Machine Learning and Human Capital Complementarities: Experimental Evidence on Bias Mitigation
By: Prithwiraj Choudhury, Evan Starr and Rajshree Agarwal
The use of machine learning (ML) for productivity in the knowledge economy requires considerations of important biases that may arise from ML predictions. We define a new source of bias related to incompleteness in real time inputs, which may result from strategic... View Details
Choudhury, Prithwiraj, Evan Starr, and Rajshree Agarwal. "Machine Learning and Human Capital Complementarities: Experimental Evidence on Bias Mitigation." Strategic Management Journal 41, no. 8 (August 2020): 1381–1411.
- February 2015 (Revised September 2016)
- Teaching Note
Making stickK Stick: The Business of Behavioral Economics
By: Leslie K. John and Michael Norton
Email mking@hbs.edu for a courtesy copy.
This Teaching Note explains the theory of the case and teaching plan for the case: Making sticK Stick: The Business of Behavioral Economics (514019). The case focuses on a... View Details
This Teaching Note explains the theory of the case and teaching plan for the case: Making sticK Stick: The Business of Behavioral Economics (514019). The case focuses on a... View Details
Keywords: Behavioral Economics; Behavior Change; B2B Vs. B2C; Human Resource Management; Marketing Of Innovations; Health ＆ Wellness; Weight Loss; Charitable Giving; Marketing; Consumer Behavior; Entrepreneurship; Internet and the Web; Health; Business Model; Sales; Human Resources; Health Industry; United States
John, Leslie K., and Michael Norton. "Making stickK Stick: The Business of Behavioral Economics." Harvard Business School Teaching Note 515-088, February 2015. (Revised September 2016.) (Email mking@hbs.edu for a courtesy copy.)
- Program
Behavioral Economics—Virtual
program prepares you to influence the behavior of customers and employees—and become a bigger contributor to your organization's success. This program is eligible for the Certificate of Management Excellence. View Details
- 2013
- Working Paper
Work Design Drivers of Organizational Learning about Operational Failures: A Laboratory Experiment on Medication Administration
By: Anita L. Tucker
Operational failures persist in hospitals, in part because employees work around them rather than attempt to prevent recurrence. Drawing on a process improvement tool—the Andon cord—we examine three work design components that may foster improvement-oriented behaviors:... View Details
Keywords: Health Care; Process Improvement; Organizational Learning; Behavioral Operations; Prosocial Behavior; Experiments; Organizational Change and Adaptation; Behavior; Performance Improvement; Health Care and Treatment; Business Processes; Health Industry
Tucker, Anita L. "Work Design Drivers of Organizational Learning about Operational Failures: A Laboratory Experiment on Medication Administration." Harvard Business School Working Paper, No. 13-044, November 2012. (Revised September 2013.)
- Research Summary
Learning Agility
This research in both field and experimental settings is targeted at examining whether and how employees in the 'midst of learning' are aware of the optimal learning behavior as well as determining if this awareness does indeed increase learning agility. Further,... View Details
- July 2022
- Article
A Strategic View of Team Learning in Organizations
By: Jean-François Harvey, Henrik Bresman, Amy C. Edmondson and Gary P. Pisano
Research in strategic management and organizational behavior has increasingly focused on understanding how organizations achieve and sustain performance in fast-changing environments. Strategy research suggests that senior managers, through their decisions, influence... View Details
Keywords: Strategic Management; Organization Behavior; Teams; Organizational Capabilities; Groups and Teams; Learning; Management; Decision Making; Performance; Organizational Design
Harvey, Jean-François, Henrik Bresman, Amy C. Edmondson, and Gary P. Pisano. "A Strategic View of Team Learning in Organizations." Academy of Management Annals 16, no. 2 (July 2022): 476–507.