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  • All HBS Web  (10,771)
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  • 03 May 2012
  • Working Paper Summaries

Learning by Supplying

Keywords: by Juan Alcácer & Joanne Oxley
  • 2012
  • Working Paper

Learning by Supplying

By: Juan Alcacer and Joanne Oxley
Learning processes lie at the heart of our understanding of how firms build capabilities to generate and sustain competitive advantage: learning by doing, learning by exporting, learning from competitors, users, and alliance partners. In this paper we focus attention... View Details
Keywords: Learning; Supply Chain; Competitive Advantage; Mobile and Wireless Technology; Competency and Skills; Relationships; Telecommunications Industry
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Alcacer, Juan, and Joanne Oxley. "Learning by Supplying." Harvard Business School Working Paper, No. 12-093, April 2012.
  • February 2014
  • Article

Learning by Supplying

By: Juan Alcacer and Joanne Oxley
Learning processes lie at the heart of our understanding of how firms build capabilities to generate and sustain competitive advantage: learning by doing, learning by exporting, learning from competitors, users, and alliance partners. In this paper we focus attention... View Details
Keywords: Competitive Advantage; Organizations; Learning
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Alcacer, Juan, and Joanne Oxley. "Learning by Supplying." Strategic Management Journal 35, no. 2 (February 2014): 204–223.
  • 11 Apr 2014
  • Working Paper Summaries

Learning By Thinking: How Reflection Improves Performance

Keywords: by Giada Di Stefano, Francesca Gino, Gary Pisano & Bradley Staats
  • January 2021
  • Article

A Model of Relative Thinking

By: Benjamin Bushong, Matthew Rabin and Joshua Schwartzstein
Fixed differences loom smaller when compared to large differences. We propose a model of relative thinking where a person weighs a given change along a consumption dimension by less when it is compared to bigger changes along that dimension. In deterministic settings,... View Details
Keywords: Relative Thinking; Econometric Models; Behavior; Cognition and Thinking
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Bushong, Benjamin, Matthew Rabin, and Joshua Schwartzstein. "A Model of Relative Thinking." Review of Economic Studies 88, no. 1 (January 2021): 162–191.
  • 2015
  • Chapter

Design Thinking and Innovative Problem Solving

By: Srikant Datar and Caitlin N. Bowler
In 2012 we set out to answer two key questions. Can anyone, including MBAs and executives with superb analytical skills, learn to think more innovatively? If so, how might we go about developing these skills? Through close collaboration with individuals from major... View Details
Keywords: Design Thinking; Problem Solving; Innovation; Design; Innovation and Invention; Cognition and Thinking
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Datar, Srikant, and Caitlin N. Bowler. "Design Thinking and Innovative Problem Solving." Chap. 7 in Shaping Entrepreneurial Mindsets: Innovation and Entrepreneurship in Leadership Development, edited by Jordi Canals, 119–138. London: Palgrave Macmillan, 2015.
  • 08 Sep 2015
  • Research & Ideas

Knowledge Transfer: You Can't Learn Surgery By Watching

While some lessons can be learned by watching—a parent’s reaction after touching a hot stove can be a good lesson for a youngster on dangers in the kitchen—other lessons are harder to View Details
Keywords: by Michael Blanding; Health
  • January 2023 (Revised May 2023)
  • Case

Learning Resources: Driven by Purpose

By: Boris Groysberg, Sarah Mehta and Heather Poco
In January 2023, CEO Rick Woldenberg must make several strategic decisions for his family-owned toy company Learning Resources. View Details
Keywords: Change; Change Management; Ownership; Family Ownership; Leadership; Decisions; Consumer Products Industry; United States; Chicago; Illinois
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Groysberg, Boris, Sarah Mehta, and Heather Poco. "Learning Resources: Driven by Purpose." Harvard Business School Case 423-053, January 2023. (Revised May 2023.)
  • Article

Learning by Thinking: The Role of Reflection in Individual Learning

By: Giada Di Stefano, Francesca Gino, Gary P. Pisano and Bradley R. Staats
It is common wisdom that practice makes perfect. And, in fact, we find evidence that when given a choice between practicing a task and reflecting on their previously accumulated practice, most people opt for the former. We argue in this paper that this preference is... View Details
Keywords: Learning; Cognition and Thinking; Practice; Experience and Expertise
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Di Stefano, Giada, Francesca Gino, Gary P. Pisano, and Bradley R. Staats. "Learning by Thinking: The Role of Reflection in Individual Learning." Management Science (in press).
  • Research Summary

Vicarious Learning in Organizations

To advance the study of how individuals learn through their interactions with others, Professor Myers has adopted a vicarious learning theory lens. Vicarious learning allows individuals to learn from the outcomes of others’ experiences, rather than solely their own... View Details

Keywords: Learning And Development; Learning; Health Industry
  • July 1989
  • Background Note

Learning by the Case Method in Marketing

Introduces learning by the case method, with application to marketing learning. Places case learning in the stream of experiential learning and explains the advantages and disadvantages of experiential learning methods. Turning to case learning specifically, the note... View Details
Keywords: Marketing; Cases; Learning
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Bonoma, Thomas V., and Thomas J. Kosnik. "Learning by the Case Method in Marketing." Harvard Business School Background Note 590-008, July 1989.
  • November–December 1997
  • Article

Making Strategy: Learning by Doing

By: Clayton M. Christensen
Keywords: Strategy; Learning
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Christensen, Clayton M. "Making Strategy: Learning by Doing." Harvard Business Review 75, no. 6 (November–December 1997).
  • April 1976 (Revised April 2002)
  • Background Note

Learning by the Case Method

Helps students fully capitalize on the case method. Succinctly introduces the benefits, format, and process while offering lots of "how-to" advice. Widely used as an introductory handout for executive, MBA, and undergraduate courses. Describes how case discussion... View Details
Keywords: Cases; Learning
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Hammond, John S. "Learning by the Case Method." Harvard Business School Background Note 376-241, April 1976. (Revised April 2002.)
  • 2007
  • Chapter

Learning by Experimentation: Prototyping and Testing

By: Stefan Thomke
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Thomke, Stefan. "Learning by Experimentation: Prototyping and Testing." In Handbook of New Product Development Management, edited by Christoph Loch and Stylianos Kavadias. Oxford: Butterworth-Heinemann, 2007.
  • Article

Learning Models for Actionable Recourse

By: Alexis Ross, Himabindu Lakkaraju and Osbert Bastani
As machine learning models are increasingly deployed in high-stakes domains such as legal and financial decision-making, there has been growing interest in post-hoc methods for generating counterfactual explanations. Such explanations provide individuals adversely... View Details
Keywords: Machine Learning Models; Recourse; Algorithm; Mathematical Methods
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Ross, Alexis, Himabindu Lakkaraju, and Osbert Bastani. "Learning Models for Actionable Recourse." Advances in Neural Information Processing Systems (NeurIPS) 34 (2021).
  • 18 Nov 2016
  • Conference Presentation

Rawlsian Fairness for Machine Learning

By: Matthew Joseph, Michael J. Kearns, Jamie Morgenstern, Seth Neel and Aaron Leon Roth
Motivated by concerns that automated decision-making procedures can unintentionally lead to discriminatory behavior, we study a technical definition of fairness modeled after John Rawls' notion of "fair equality of opportunity". In the context of a simple model of... View Details
Keywords: Machine Learning; Algorithms; Fairness; Decision Making; Mathematical Methods
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Joseph, Matthew, Michael J. Kearns, Jamie Morgenstern, Seth Neel, and Aaron Leon Roth. "Rawlsian Fairness for Machine Learning." Paper presented at the 3rd Workshop on Fairness, Accountability, and Transparency in Machine Learning, Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD), November 18, 2016.
  • 2023
  • Working Paper

Learning by Investing: Entrepreneurial Spillovers from Venture Capital

By: Josh Lerner, Jinlin Li and Tong Liu
This paper studies how investing in venture capital (VC) affects the entrepreneurial outcomes of individual limited partners (LPs). Using comprehensive administrative data on entrepreneurial activities and VC fundraising and investments in China, we first document that... View Details
Keywords: Partners and Partnerships; Entrepreneurship; Venture Capital; Investment; China
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Lerner, Josh, Jinlin Li, and Tong Liu. "Learning by Investing: Entrepreneurial Spillovers from Venture Capital." Harvard Business School Working Paper, No. 24-029, November 2023.
  • September 2012
  • Article

Learning Agility: In Search of Conceptual Clarity and Theoretical Grounding

By: D. Scott DeRue, Susan J. Ashford and Christopher G. Myers
As organizations become more complex and dynamic, individuals' ability to learn from experience becomes more important. Recently, the concept of learning agility has attracted considerable attention from human resource professionals and consultants interested in... View Details
Keywords: Learning And Development; Learning
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DeRue, D. Scott, Susan J. Ashford, and Christopher G. Myers. "Learning Agility: In Search of Conceptual Clarity and Theoretical Grounding." Industrial and Organizational Psychology: Perspectives on Science and Practice 5, no. 3 (September 2012): 258–279.
  • January 2014
  • Technical Note

Learning From Extreme Consumers

By: Jill Avery and Michael Norton
Traditional market research methods focus on understanding the average experiences of average consumers. This focus leads to gaps in our knowledge of consumer behavior and often fails to uncover insights that can drive revolutionary, rather than evolutionary... View Details
Keywords: Market Research; Ethnography; Design Thinking; Innovation; New Product Development; Research; Marketing; Consumer Behavior; Innovation and Invention
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Avery, Jill, and Michael Norton. "Learning From Extreme Consumers." Harvard Business School Technical Note 314-086, January 2014.
  • 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
Keywords: Machine Learning; Algorithms; Fairness; Mathematical Methods
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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).
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