The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Managing Knowledge in Organizations: An Integrative Framework and Review of Emerging Themes
Open accessAbstract
In this concluding article to the Management Science special issue on “Managing Knowledge in Organizations: Creating, Retaining, and Transferring Knowledge,” we provide an integrative framework for organizing the literature on knowledge management. The framework has two dimensions. The knowledge management outcomes of knowledge creation, retention, and transfer are represented along one dimension. Properties of the context within which knowledge management occurs are represented on the other dimension. These properties, which affect knowledge management outcomes, can be organized according to whether they are properties of a unit (e.g., individual, group, organization) involved in knowledge management, properties of relationships between units or properties of the knowledge itself. The framework is used to identify where research findings about knowledge management converge and where gaps in our understanding exist. The article discusses mechanisms of knowledge management and how those mechanisms affect a unit's ability to create, retain and transfer knowledge. Emerging themes in the literature on knowledge management are identified. Directions for future research are suggested.
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Citations
Cites
Exploration and Exploitation in Organizational Learning
March, J. G. (1991) · Organization Science · doi:10.1287/orsc.2.1.71 · Cited by 21,942
Psychological Safety and Learning Behavior in Work Teams
Edmondson, A. (1999) · Administrative Science Quarterly · doi:10.2307/2666999 · Cited by 12,026
Exploring internal stickiness: Impediments to the transfer of best practice within the firm
Szulanski, G. (1996) · Strategic Management Journal · doi:10.1002/smj.4250171105 · Cited by 7,839
The Search-Transfer Problem: The Role of Weak Ties in Sharing Knowledge across Organization Subunits
Hansen, M. T. (1999) · Administrative Science Quarterly · doi:10.2307/2667032 · Cited by 5,809 · cited 1×
“Similarly, Hansen’s (1999) study of product development teams indicates that strong ties are conducive to the transfer of complex knowledge, while weak ties aid in the search for new knowledge.”
BackgroundSchema induction and analogical transfer
Gick, M. L., & Holyoak, K. J. (1983) · Cognitive Psychology · doi:10.1016/0010-0285(83)90002-6 · Cited by 3,010
Transactive Memory: A Contemporary Analysis of the Group Mind
Wegner, D. M. (1987) · Theories of Group Behavior · doi:10.1007/978-1-4612-4634-3_9 · Cited by 2,700
Localization of Knowledge and the Mobility of Engineers in Regional Networks
Almeida, P., & Kogut, B. (1999) · Management Science · doi:10.1287/mnsc.45.7.905 · Cited by 2,565
Stasser, G., & Titus, W. (1985) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.48.6.1467 · Cited by 1,850
Organizational routines are stored as procedural memory: Evidence from a laboratory study
Cohen, M. D., & Bacdayan, P. (1994) · Organization Science · doi:10.1287/orsc.5.4.554 · Cited by 1,393
Walsh, J. P., & Ungson, G. R. (1991) · The Academy of Management Review · doi:10.2307/258607 · Cited by 835
Sine, W. D., Shane, S., & Gregorio, D. D. (2003) · Management Science · doi:10.1287/mnsc.49.4.478.14416 · Cited by 330 · cited 1×
“Sorenson (2003) finds that vertically integrated firms learn more from their experience in turbulent environments than their nonintegrated counterparts.”
Background
Cited by
Network Structure and Knowledge Transfer: The Effects of Cohesion and Range
Reagans, R., & McEvily, B. (2003) · Administrative Science Quarterly · doi:10.2307/3556658 · Cited by 3,592
Self-citationEnhancing the Effectiveness of Work Groups and Teams
Kozlowski, S. W. J., & Ilgen, D. R. (2006) · Psychological Science in the Public Interest · doi:10.1111/j.1529-1006.2006.00030.x · Cited by 2,623
Nonaka, I., & von Krogh, G. (2009) · Organization Science · doi:10.1287/orsc.1080.0412 · Cited by 1,939
Bolino, M. C., & Grant, A. M. (2016) · Academy of Management Annals · doi:10.5465/19416520.2016.1153260 · Cited by 682
Kearns, G. S., & Sabherwal, R. (2006) · Journal of Management Information Systems · doi:10.2753/mis0742-1222230306 · Cited by 573
Metadata
- Authors
- Argote, L., McEvily, B., & Reagans, R.
- Venue
- Management Science
- Published
- 2003-04
- Volume
- 49
- Issue
- 4
- Pages
- 571-582
- ISSN
- 0025-1909 (ISSN-L)
- 1526-5501
- OpenAlex
- W2134057726
- Cited by
- 2,044
- References
- 11
- FWCI
- 101.41
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
