The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Knowledge management and organizational performance: a decomposed view
Abstract
Purpose: The purpose of this paper is to evaluate the impact of specific knowledge management resources (i.e. knowledge management enablers and processes) on organizational performance. Design/methodology/approach: The study uses survey data from 189 managers and structural equation modeling to assess the links between specific knowledge management resources and organizational performance. Findings: The results show that some knowledge resources (e.g. organizational structure, knowledge application) are directly related to organizational performance, while others (e.g. technology, knowledge conversion), though important preconditions for knowledge management, are not directly related to organizational performance. Research limitations/implications: The survey findings were based on a single dataset, so the same observations may not apply to other settings. The survey also did not provide in‐depth insight into the key capabilities of individual firms and the circumstances under which some resources are directly related to organizational performance. Practical implications: The study provides evidence linking particular knowledge resources to organizational performance. Such insights can help firms better target their investments and enhance the success of their knowledge management initiatives. Originality/value: Prior research often utilizes composite measures when examining the knowledge management‐organizational performance link. This bundling of the dimensions of knowledge management allows managers and researchers to focus on main effects but leaves little room for understanding how particular resources relate to organizational performance. This study addresses this gap by assessing the links between specific knowledge management resources and organizational performance. The results show that some resources are directly related to organizational performance, while others are not.
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Citations
Cites
Toward a knowledge-based theory of the firm
Grant, R. M. (1996) · Strategic Management Journal · doi:10.1002/smj.4250171110 · Cited by 16,157
The resource-based theory of competitive advantage: Implications for strategy formulation
Grant, R. M. (1991) · California Management Review · doi:10.2307/41166664 · Cited by 9,699
Wade, M., & Hulland, J. (2004) · MIS Quarterly · doi:10.2307/25148626 · Cited by 2,822
Specifying Formative Constructs in Information Systems Research1
Petter, S., Straub, D., & Rai, A. (2007) · MIS Quarterly · doi:10.2307/25148814 · Cited by 32
Cited by
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
Structured knowledge processes and firm performance: The role of organizational agility
Cegarra-Navarro, J.-G., Soto-Acosta, P., & Wensley, A. K. P. (2016) · Journal of Business Research · doi:10.1016/j.jbusres.2015.10.014 · Cited by 403
Knowledge management and measurement: a critical review
A.F. Ragab, M., & Arisha, A. (2013) · Journal of Knowledge Management · doi:10.1108/jkm-12-2012-0381 · Cited by 323
Shahzad, M., Qu, Y., Zafar, A. U., & Appolloni, A. (2021) · Business Strategy and the Environment · doi:10.1002/bse.2865 · Cited by 312
Masa’deh, R., Al-Henzab, J., Tarhini, A., & Obeidat, B. Y. (2018) · Benchmarking: An International Journal · doi:10.1108/bij-02-2017-0024 · Cited by 298
Metadata
- Authors
- Mills, A. M., & Smith, T. A.
- Venue
- Journal of Knowledge Management
- Publisher
- Emerald
- Published
- 2011-02-22
- Volume
- 15
- Issue
- 1
- Pages
- 156-171
- ISSN
- 1367-3270 (ISSN-L)
- OpenAlex
- W2143379307
- Cited by
- 464
- References
- 4
- FWCI
- 72.11
- Type
- journal article
- Language
- en
- Open access
- closed
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- Mills, A. M., & Smith, T. A. (2011). Knowledge management and organizational performance: a decomposed view. Journal of Knowledge Management. https://doi.org/10.1108/13673271111108756
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.