The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
Knowledge management in a public organization: a study on the relationship between organizational elements and the performance of knowledge transfer
Abstract
Relatively little study has been performed on knowledge management and knowledge transfer in the public sector, and even less in the developing countries. This paper investigates the relationship between organizational elements and the performance of knowledge transfer. Five main independent variables were identified – organizational culture, organizational structure, technology, people/human resources and political directives – and these were tested against creation of knowledge assets and knowledge transfer performance using the Spearman rank test. Tacit and explicit knowledge were also tested against knowledge transfer performance. To achieve an in‐depth empirical study, the Ministry of Entrepreneur Development of Malaysia was chosen for a case study. The findings are based on replies to a questionnaire survey done from September to December 2001. The results reveal that there are significant relationships between some of the variables and either the creation of knowledge assets or the performance of knowledge transfer. Therefore, it is necessary for organizations to consider some of the elements that show a relationship between the tested variables in implementing a knowledge management strategy in an organization. However, certain variables that did not show any relationship should not be ignored totally, as they are still very important for some organizations.
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Cites
Cohen, L., Manion, L., & Morrison, K. (2007) · Routledge eBooks · doi:10.4324/9780203029053 · Cited by 20,105
Working knowledge: how organizations manage what they know
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Knowledge Transfer: A Basis for Competitive Advantage in Firms
Argote, L., & Ingram, P. (2000) · Organizational Behavior and Human Decision Processes · doi:10.1006/obhd.2000.2893 · Cited by 4,164 · cited 1×
“For these purposes, knowledge transfer in an organization is de®ned as a ``process through which one unit (e.g. group, department, or division) is affected by the experience of another'' (Argote and Ingram, 2000, p. 151).”
BackgroundPowell, W. W., & Snellman, K. (2004) · Annual Review of Sociology · doi:10.1146/annurev.soc.29.010202.100037 · Cited by 1,922
Overcoming cultural barriers to sharing knowledge
McDermott, R., & O’Dell, C. (2001) · Journal of Knowledge Management · doi:10.1108/13673270110384428 · Cited by 1,203
Strategies for Managing Knowledge Assets: the Role of Firm Structure and Industrial Context
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The role of tacit and explicit knowledge in the workplace
Smith, E. A. (2001) · Journal of Knowledge Management · doi:10.1108/13673270110411733 · Cited by 1,014
A knowledge‐based theory of the firm to guide in strategy formulation
Sveiby, K. (2001) · Journal of Intellectual Capital · doi:10.1108/14691930110409651 · Cited by 942
Cited by
Organizational culture and knowledge sharing: critical success factors
Ismail Al‐Alawi, A., Yousif Al‐Marzooqi, N., & Fraidoon Mohammed, Y. (2007) · Journal of Knowledge Management · doi:10.1108/13673270710738898 · Cited by 853
Shahzad, M., Qu, Y., Zafar, A. U., Rehman, S. U., & Islam, T. (2020) · Journal of Knowledge Management · doi:10.1108/jkm-11-2019-0624 · Cited by 681
AI Adoption in Jordanian SMEs: The Influence of Technological and Organizational Orientations
Almashawreh, R., Talukder, M., Charath, S. K., & Khan, M. I. (2024) · Global Business Review · doi:10.1177/09721509241250273 · Cited by 39
Metadata
- Authors
- Omar Sharifuddin Syed‐Ikhsan, S., & Rowland, F.
- Venue
- Journal of Knowledge Management
- Publisher
- Emerald
- Published
- 2004-04-01
- Volume
- 8
- Issue
- 2
- Pages
- 95-111
- ISSN
- 1367-3270 (ISSN-L)
- OpenAlex
- W2076350948
- Cited by
- 532
- References
- 27
- FWCI
- 61.15
- Type
- journal article
- Language
- en
- Open access
- closed
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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.