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Show Results For
- All HBS Web
(10,851)
- People (64)
- News (3,420)
- Research (3,982)
- Events (30)
- Multimedia (61)
- Faculty Publications (1,444)
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- Article
Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness
By: Michael J Kearns, Seth Neel, Aaron Leon Roth and Zhiwei Steven Wu
The most prevalent notions of fairness in machine learning are statistical definitions: they fix a small collection of pre-defined groups, and then ask for parity of some statistic of the classifier (like classification rate or false positive rate) across these groups.... View Details
Kearns, Michael J., Seth Neel, Aaron Leon Roth, and Zhiwei Steven Wu. "Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness." Proceedings of the International Conference on Machine Learning (ICML) 35th (2018).
- April 2021 (Revised June 2021)
- Case
IBM: Design Thinking
By: Srikant M. Datar, Amram Migdal and Paul Hamilton
This case describes the 2012-2020 effort at IBM to implement design thinking throughout the company and hire thousands of designers to serve on every product team alongside technical engineers and developers and product managers. IBM’s design transformation is told... View Details
Keywords: Business Ventures; Business Divisions; Business Units; Business Organization; Change; Change Management; Transformation; Competency and Skills; Talent and Talent Management; Design; Human Resources; Recruitment; Selection and Staffing; Innovation and Invention; Collaborative Innovation and Invention; Innovation and Management; Innovation Strategy; Jobs and Positions; Job Design and Levels; Leading Change; Management; Business or Company Management; Goals and Objectives; Management Practices and Processes; Operations; Product; Product Design; Product Development; Organizations; Business Processes; Organizational Change and Adaptation; Organizational Design; Organizational Structure; Strategy; Adaptation; Adoption; Technological Innovation; Information Infrastructure; Information Technology; Technology Industry; Information Technology Industry; United States
Datar, Srikant M., Amram Migdal, and Paul Hamilton. "IBM: Design Thinking." Harvard Business School Case 121-007, April 2021. (Revised June 2021.)
- November – December 2009
- Article
Learning by Design: Developing an Engine for Transforming Your Company
By: Michael Beer and Magnus Finnstrom
Traditional leadership development programs often fail to achieve the desired results because they don't focus on learning linked to the company's business strategy and the real day-to-day challenges facing managers. The experience of Sweden-based industrial... View Details
Keywords: Leadership Development; Programs; Learning; Failure; Business Strategy; Organizations; Transformation; Problems and Challenges; Design; Sweden
Beer, Michael, and Magnus Finnstrom. "Learning by Design: Developing an Engine for Transforming Your Company." Leadership in Action (November–December 2009).
- 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.
- 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.
- 18 Apr 2000
- Research & Ideas
Learning in Action
"The most effective learning strategy depends on the situation," writes David A. Garvin. "There is no stock answer, nor is there a single best approach." In Learning in Action, he illustrated the diversity... View Details
Keywords: by David A. Garvin
- 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.)
- 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.
- 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.
- January 2022 (Revised November 2023)
- Case
Expanding the Culture of Learning at Kraft Heinz
By: Ashley V. Whillans and Carolyn Watson
The Kraft Heinz Company (KHC) was an American food company formed in 2015 by the merger of Kraft Foods Group, Inc and the H.J. Heinz Company. The company sold food products like Heinz Ketchup, Kraft Mac & Cheese, Kool-Aid, and Philadelphia cream cheese to supermarkets,... View Details
Keywords: Learning; Culture; Work Culture; Workplace Practices; Mergers; Mergers and Acquisitions; Competitive Advantage; Human Capital; Training; Performance Evaluation; Growth and Development; Personal Development and Career; Employee Relationship Management; Organizational Change and Adaptation; Organizational Culture; Food and Beverage Industry
Whillans, Ashley V., and Carolyn Watson. "Expanding the Culture of Learning at Kraft Heinz." Harvard Business School Case 922-036, January 2022. (Revised November 2023.)
- April 2020
- Article
Regulatory Oversight, Causal Inference, and Safe and Effective Health Care Machine Learning
By: Ariel Dora Stern and W. Nicholson Price, II
In recent years, the applications of Machine Learning (ML) in the health care delivery setting have grown to become both abundant and compelling. Regulators have taken notice of these developments and the U.S. Food and Drug Administration (FDA) has been engaging... View Details
Keywords: Machine Learning; Causal Inference; Health Care and Treatment; Safety; Governing Rules, Regulations, and Reforms
Stern, Ariel Dora, and W. Nicholson Price, II. "Regulatory Oversight, Causal Inference, and Safe and Effective Health Care Machine Learning." Biostatistics 21, no. 2 (April 2020): 363–367.
- 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.
- 01 Dec 2011
- What Do You Think?
Thinking Slow: An Argument for Bureaucracy?
with the downside of thinking slow. So here is what my gut tells me about what you said this month: Thinking slow, as Daniel Kahneman calls it in his recent book by that name,... View Details
Keywords: by James Heskett
- 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.
- May 2011
- Book Review
Book review of Learning by Example: Imitation and Innovation at a Global Bank, by David Strang.
Kanter, Rosabeth M. "Book review of Learning by Example: Imitation and Innovation at a Global Bank, by David Strang." American Journal of Sociology 116, no. 6 (May 2011).
- 2017
- Article
Organizational Support for Learning and Contribution to Improvement by Frontline Staff
By: Olivia Jung, Andrea Blasco and Karim R. Lakhani
Jung, Olivia, Andrea Blasco, and Karim R. Lakhani. "Organizational Support for Learning and Contribution to Improvement by Frontline Staff." Academy of Management Best Paper Proceedings (2017).
- October 8, 2017
- Article
The Watergate Trap: Seeing So Much of the Present through Watergate Makes It Harder to See the Future
By: J. Peter Scoblic
Scoblic, J. Peter. "The Watergate Trap: Seeing So Much of the Present through Watergate Makes It Harder to See the Future." Washington Post (October 8, 2017), B1.
- 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.)
- 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