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Show Results For
- All HBS Web
(13,008)
- People (70)
- News (3,989)
- Research (5,645)
- Events (52)
- Multimedia (95)
- Faculty Publications (2,436)
- 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.
- March 2017
- Exercise
Designing Transformational Customer Experiences
By: Stefan Thomke
Anyone who has recently travelled, gone shopping, or tried to have a problem solved may have little recollection of the experience. Worse yet, some are frustrated by the lack of responsiveness or empathy that they encountered. The reality is that most customer... View Details
Keywords: Customer Experience; Exercise; Learning By Doing; LEGO; Storytelling; Customer Satisfaction; Design; Innovation and Management; Transformation; Service Delivery
Thomke, Stefan. "Designing Transformational Customer Experiences." Harvard Business School Exercise 617-051, March 2017.
- September 2017
- Article
The Advocacy Trap: When Legitimacy Building Inhibits Organizational Learning
By: Tiona Zuzul and Amy C. Edmondson
This paper describes a relationship between legitimacy building and learning for a new firm in a nascent industry. Through a longitudinal study of a new firm in the nascent smart city industry, we found that the firm failed to make progress on important internal... View Details
Keywords: Organizational Learning; Advocacy; Organizations; Learning; Organizational Culture; Entrepreneurship
Zuzul, Tiona, and Amy C. Edmondson. "The Advocacy Trap: When Legitimacy Building Inhibits Organizational Learning." Academy of Management Discoveries 3, no. 3 (September 2017): 302–321.
- 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.
- September 16, 2022
- Article
Bored at Work? Learn to Manage It by Putting It to Work
By: Katherine Connolly Baden, Boris Groysberg and Heather Poco
Do you often feel bored at work or in life? Do you want to feel less bored? If so, what can you do to make that happen? Boredom has a bad rap, but is it really so bad? View Details
Baden, Katherine Connolly, Boris Groysberg, and Heather Poco. "Bored at Work? Learn to Manage It by Putting It to Work." Newsweek (September 16, 2022), 18–19.
- 17 Apr 2014
- News
What Harvard learned by studying India's lunchbox delivery system
- 2017
- Working Paper
Machine Learning Methods for Strategy Research
By: Mike Horia Teodorescu
Numerous applications of machine learning have gained acceptance in the field of strategy and management research only during the last few years. Established uses span such diverse problems as strategic foreign investments, strategic resource allocation, systemic risk... View Details
Keywords: Machine Learning; Natural Language Processing; Classification; Decision Trees; Strategic Decisions; Strategy; Research; Information Technology
Teodorescu, Mike Horia. "Machine Learning Methods for Strategy Research." Harvard Business School Working Paper, No. 18-011, August 2017. (Revised October 2017.)
- February 2016 (Revised September 2017)
- Case
Scaling Well by Doing Good: Motivating Talent at b.good
By: Francesca Gino, Paul Green Jr. and Bradley Staats
Boston-based fast-casual chain b.good was founded on the idea of healthy food, sourced locally, and prepared in-store. The founders had built a value-based business and worked hard to cultivate a sense of family—among employees, customers, and suppliers. In 2015, they... View Details
Keywords: Motivation; Values; Corporate Culture; Growth Strategy; Motivation and Incentives; Values and Beliefs; Growth Management; Organizational Culture; Growth and Development Strategy; Service Industry; Food and Beverage Industry; New England
Gino, Francesca, Paul Green Jr., and Bradley Staats. "Scaling Well by Doing Good: Motivating Talent at b.good." Harvard Business School Case 916-031, February 2016. (Revised September 2017.)
- 22 May 2020
- News
What Hospitals Overwhelmed by Covid-19 Can Learn From Startups
- 01 Oct 2012
- Research & Ideas
Better by the Bundle?
has been thin. Do shoppers prefer them? Do sales increase when companies bundle their offerings? Or, would a bundle cannibalize sales from its existing products leading to lower overall revenues? To help... View Details
Keywords: by Dina Gerdeman
- July–August 2018
- Article
Learning by Contributing: Gaining Competitive Advantage Through Contribution to Crowdsourced Public Goods
By: Frank Nagle
As the economy becomes more information based, firms are increasingly using crowdsourced public goods as inputs for innovation and production. Counterintuitively, some firms pay their employees to contribute to the creation of these goods, which can be used freely by... View Details
Keywords: Open Source Distribution; Applications and Software; Competitive Strategy; Learning; Competitive Advantage
Nagle, Frank. "Learning by Contributing: Gaining Competitive Advantage Through Contribution to Crowdsourced Public Goods." Organization Science 29, no. 4 (July–August 2018): 569–587.
- December 2020
- Teaching Plan
Scaling Well by Doing Good: Motivating Talent at b.good
By: Francesca Gino, Gary P. Pisano and Alexander Rohe
- July 2023
- Article
Managerial Quality and Productivity Dynamics
By: Achyuta Adhvaryu, Anant Nyshadham and Jorge Tamayo
Do productivity and managerial quality vary within the firm? If so which managerial traits and practices matter most for team productivity? Combining granular garment production data with survey data on managers across 120 production lines in India, we document... View Details
Keywords: Productivity; Non-cognitive Skills; Learning By Doing; Ready-made Garments; Management; Management Practices and Processes; Management Skills; Performance Productivity; Fashion Industry; Manufacturing Industry; India
Adhvaryu, Achyuta, Anant Nyshadham, and Jorge Tamayo. "Managerial Quality and Productivity Dynamics." Review of Economic Studies 90, no. 4 (July 2023): 1569–1607.
- 2023
- Working Paper
Advances in Power-to-Gas Technologies: Cost and Conversion Efficiency
By: Gunther Glenk, Philip Holler and Stefan Reichelstein
Widespread adoption of hydrogen as an energy carrier is widely believed to require continued advances in Power-to-Gas (PtG) technologies. Here we provide a comprehensive assessment of the dynamics of system prices and conversion efficiency for three currently prevalent... View Details
Keywords: Clean Tech; Decarbonization; Carbon Emissions; Learning By Doing; Environment; Energy; Environmental Management; Sustainable Cities; Price; Energy Industry; Utilities Industry; Industrial Products Industry; Manufacturing Industry; Transportation Industry; Europe; North America; South America; Africa; Asia
Glenk, Gunther, Philip Holler, and Stefan Reichelstein. "Advances in Power-to-Gas Technologies: Cost and Conversion Efficiency." TRR 266 Accounting for Transparency Working Paper Series, No. 109, December 2022.
- 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.
- 2011
- Chapter
On Organizational Learning by Chris Argyris and Donald A. Schön
By: Faaiza Rashid
Rashid, Faaiza. "On Organizational Learning by Chris Argyris and Donald A. Schön." In The Multimedia Encyclopedia of Organization Theory: From Taylor to Today, edited by Erhard Friedberg. Paris: R&O Multimedia, 2011. Multimedia.
- Research Summary
Social Learning
One major area of my research is social learning: the ways and extent to which people discover what they want and need from the behavior and opinions of others. Social learning takes many forms. Probably most obvious is word of mouth—the advice and... View Details
- March 2000
- Article
Do Firms Learn to Create Value? The Case of Alliances
Anand, B., and T. Khanna. "Do Firms Learn to Create Value? The Case of Alliances." Strategic Management Journal 21, no. 3 (March 2000): 295–315.
- 1995
- Working Paper
Learning Before Doing in the Development of New Process Technology
By: Gary P. Pisano
- August 2020 (Revised September 2020)
- Technical Note
Assessing Prediction Accuracy of Machine Learning Models
The note introduces a variety of methods to assess the accuracy of machine learning prediction models. The note begins by briefly introducing machine learning, overfitting, training versus test datasets, and cross validation. The following accuracy metrics and tools... View Details
Keywords: Machine Learning; Statistics; Econometric Analyses; Experimental Methods; Data Analysis; Data Analytics; Forecasting and Prediction; Analytics and Data Science; Analysis; Mathematical Methods
Toffel, Michael W., Natalie Epstein, Kris Ferreira, and Yael Grushka-Cockayne. "Assessing Prediction Accuracy of Machine Learning Models." Harvard Business School Technical Note 621-045, August 2020. (Revised September 2020.)