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Show Results For
- All HBS Web
(25,788)
- People (104)
- News (5,040)
- Research (12,952)
- Events (104)
- Multimedia (434)
- Faculty Publications (10,668)
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- 1996
- Book
Organizational Learning and Competitive Advantage
By: B. Moingeon and A. Edmondson
Moingeon, B., and A. Edmondson. Organizational Learning and Competitive Advantage. London: SAGE Publications, 1996.
- 18 Apr 2000
- Research & Ideas
Learning in Action
Bean, the U.S. Army's Center for Army Lessons Learned (CALL), AT&T's Bell Laboratories, the Timken Companies and General Electric's Change Acceleration Process (CAP). L.L. Bean has long relied on... View Details
Keywords: by David A. Garvin
- 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
Alcacer, Juan, and Joanne Oxley. "Learning by Supplying." Harvard Business School Working Paper, No. 12-093, April 2012.
- August 2018
- Teaching Note
Magpie: Developing and Using Buyer Personas
Teaching Note for HBS No. 818-013. Magpie is a startup with a platform that allows publishers to natively tag the products discussed in their content and thus allows consumers to purchase those products without needing to leave that publisher’s web page. A key aspect... View Details
- Teaching Interest
Interpretability and Explainability in Machine Learning
As machine learning models are increasingly being employed to aid decision makers in high-stakes settings such as healthcare and criminal justice, it is important to ensure that the decision makers correctly understand and consequent trust the functionality of these... View Details
- July–September 2020
- Article
Innovation Contest: Effect of Perceived Support for Learning on Participation
By: Olivia Jung, Andrea Blasco and Karim R. Lakhani
Background: Frontline staff are well positioned to conceive improvement opportunities based on first-hand knowledge of what works and does not work. The innovation contest may be a relevant and useful vehicle to elicit staff ideas. However, the success of the... View Details
Keywords: Contest; Innovation; Employee Engagement; Organizational Learning; Health Care; Health Care Delivery; Innovation and Invention; Organizations; Learning; Employees; Perception; Health Care and Treatment
Jung, Olivia, Andrea Blasco, and Karim R. Lakhani. "Innovation Contest: Effect of Perceived Support for Learning on Participation." Health Care Management Review 45, no. 3 (July–September 2020): 255–266.
- March 2005 (Revised April 2005)
- Module Note
A Relational Approach to Self-Assessment and Career Development
By: Monica C. Higgins
Describes the main ideas in a module on relational self-assessment as part of a course on self-assessment and career development or as part of a course on leadership and organizational behavior for MBA students or executives. Reflects a "relational" approach to career... View Details
Keywords: Personal Development and Career; Relationships; Leadership; Organizations; Behavior; Social and Collaborative Networks
Higgins, Monica C. "A Relational Approach to Self-Assessment and Career Development." Harvard Business School Module Note 405-076, March 2005. (Revised April 2005.)
- 1981
- Article
Insecure Contracts and Resource Development
By: James K. Sebenius and David Lax
Sebenius, James K., and David Lax. "Insecure Contracts and Resource Development." Public Policy 29 (1981): 419–436.
- 1993
- Chapter
Cases, Publication, and Career Development
By: S. A. Greyser
Keywords: Personal Development and Career
Greyser, S. A. "Cases, Publication, and Career Development." In Enhancing Knowledge Development in Marketing: Perspectives and Viewpoints, edited by P. R. Varadarajan and A. Menon. Chicago: American Marketing Association, 1993.
- 2024
- Working Paper
The Cram Method for Efficient Simultaneous Learning and Evaluation
By: Zeyang Jia, Kosuke Imai and Michael Lingzhi Li
We introduce the "cram" method, a general and efficient approach to simultaneous learning and evaluation using a generic machine learning (ML) algorithm. In a single pass of batched data, the proposed method repeatedly trains an ML algorithm and tests its empirical... View Details
Keywords: AI and Machine Learning
Jia, Zeyang, Kosuke Imai, and Michael Lingzhi Li. "The Cram Method for Efficient Simultaneous Learning and Evaluation." Working Paper, March 2024.
- 2012
- Working Paper
Prominent Job Advertisements, Group Learning and Wage Dispersion
By: Julio J. Rotemberg
A model is presented in which people base their labor search strategy on the average wage and the average unemployment duration of people who belong to their peer group. It is shown that, if the distribution of wage offers is not stationary so lower wage offers tend to... View Details
Rotemberg, Julio J. "Prominent Job Advertisements, Group Learning and Wage Dispersion." NBER Working Paper Series, No. 18638, December 2012.
- January 2001
- Supplement
Pharmacyclics: Financing Research and Development
Spreadsheet to (9-201-056). Presents exhibits 2, 3, 4, 9, 10, and 11. Download only. View Details
- 2003
- Other Unpublished Work
The Development of the Cluster Concept—Present Experiences and Recent Developments
By: Christian H.M. Ketels
This review presents an overview of the current research on clusters and cluster-based economic development. It is organized in three parts: First, it takes a look at the conceptual foundations of the cluster approach, discussing the definition of clusters, the... View Details
Keywords: Growth and Development Strategy; Industry Clusters; Development Economics; Performance; Framework; Knowledge Sharing; Policy
Ketels, Christian H.M. "The Development of the Cluster Concept—Present Experiences and Recent Developments." Germany, North Rhine-Westphalia, Ministry of Economic Affairs and Energy, Dusseldorf, Germany, December 2003.
- March 2000 (Revised January 2001)
- Case
Microsoft's Vega Project: Developing People and Products
By: Christopher A. Bartlett and Meg Wozny
With a focus on Matt MacLellan and his careful development as a project manager under his boss and mentor, Jim Kaplan, the case describes the evolution of Microsoft's human-resource philosophies and policies and illustrates how they work in practice to provide the... View Details
Keywords: Human Resources; Competitive Advantage; Retention; Personal Development and Career; Organizational Design; Information Technology; Motivation and Incentives; Leadership Development
Bartlett, Christopher A., and Meg Wozny. "Microsoft's Vega Project: Developing People and Products." Harvard Business School Case 300-004, March 2000. (Revised January 2001.)
- 2019
- Working Paper
Soul and Machine (Learning)
By: Davide Proserpio, John R. Hauser, Xiao Liu, Tomomichi Amano, Alex Burnap, Tong Guo, Dokyun Lee, Randall Lewis, Kanishka Misra, Eric Schwarz, Artem Timoshenko, Lilei Xu and Hema Yoganarasimhan
Machine learning is bringing us self-driving cars, improved medical diagnostics, and machine translation, but can it improve marketing decisions? It can. Machine learning models predict extremely well, are scalable to “big data,” and are a natural fit to rich media... View Details
Proserpio, Davide, John R. Hauser, Xiao Liu, Tomomichi Amano, Alex Burnap, Tong Guo, Dokyun Lee, Randall Lewis, Kanishka Misra, Eric Schwarz, Artem Timoshenko, Lilei Xu, and Hema Yoganarasimhan. "Soul and Machine (Learning)." Harvard Business School Working Paper, No. 20-036, September 2019.
- 01 Nov 1984
- Conference Presentation
Creativity in Research and Development
Amabile, Teresa M. "Creativity in Research and Development." Paper presented at the Conference on Corporate Growth and Diversification through Technology Management (Address), University of Michigan, Institute of Science and Technology, Industrial Development Division, November 01, 1984.
- Research Summary
Organisational Learning in Software Requirements Engineering and Management
The current research project addresses the continuing low success rate of software development projects, which has been frequently reported in empirical studies. For example, the 2004 Chaos Report by the Standish Group found that only 29% of 9,236 application... View Details
- Research Summary
Workforce Training and Development in Indian Companies
This study with Vivek Wadhwa and Gary Gereffi of Duke University sponsored by the Ewing Marion Kauffman Foundation examines how 24 leading Indian companies have innovated in workforce training and development in the face of educational weaknesses and high-skilled... View Details
- Article
Pre-colonial Ethnic Institutions and Contemporary African Development
By: Stelios Michalopoulos and Elias Papaioannou
We investigate the role of deeply rooted pre-colonial ethnic institutions in shaping comparative regional development within African countries. We combine information on the spatial distribution of ethnicities before colonization with regional variation in contemporary... View Details
Michalopoulos, Stelios, and Elias Papaioannou. "Pre-colonial Ethnic Institutions and Contemporary African Development." Econometrica 81, no. 1 (January 2013): 113–152.
- 2022
- Working Paper
Machine Learning Models for Prediction of Scope 3 Carbon Emissions
By: George Serafeim and Gladys Vélez Caicedo
For most organizations, the vast amount of carbon emissions occur in their supply chain and in the post-sale processing, usage, and end of life treatment of a product, collectively labelled scope 3 emissions. In this paper, we train machine learning algorithms on 15... View Details
Keywords: Carbon Emissions; Climate Change; Environment; Carbon Accounting; Machine Learning; Artificial Intelligence; Digital; Data Science; Environmental Sustainability; Environmental Management; Environmental Accounting
Serafeim, George, and Gladys Vélez Caicedo. "Machine Learning Models for Prediction of Scope 3 Carbon Emissions." Harvard Business School Working Paper, No. 22-080, June 2022.