The DOI matches its Crossref record; 149 of the 149 references it cites were found in a registry or an index.
How strategic knowledge management drives intellectual capital to superior innovation and market performance
Abstract
Purpose: The purpose of this paper is to explore the moderation effect of strategic knowledge management (SKM) on the relationship between three components of intellectual capital (IC) and firm innovation and market performance. The authors argue that specific combinations of IC components and SKM activities can lead to higher innovation and market performance. It is also trying to assist companies to capitalize on both their IC and SKM. Design/methodology/approach: Survey data have been collected from 101 Serbian companies, and these have been analyzed by using structural equation modelling (SEM) and fuzzy set qualitative comparative analysis (fsQCA) techniques. Findings: The SEM results show that structural capital and relational capital have a direct effect on innovation performance. Although, there is no significant direct effect of human capital on innovation performance, the relationship becomes significant when moderated by SKM. The effects of human and structural capital on innovation performance are negatively moderated by SKM activities, while SKM positively moderates the effect of relational capital on innovation performance, but remained insignificant. Moreover, the insights from fsQCA show a clear pattern of equifinality, in that there are multiple combinations of static and dynamic conditions that can lead to higher innovation and market performance. Originality/value: Two separate research fields of “static” IC and “dynamic” knowledge management have been combined in one integrated framework. From a methodological perspective, symmetric and asymmetric statistical tools have been combined to better understand contingency and interactions. This approach contributes to the literature and potentially offers a better understanding of how static intangible assets should be enabled by dynamic knowledge-based managerial activities to achieve high performance. The paper demonstrates that SKM capability matters with only a specific constellation of IC resources and therefore suggests a novel explanation for performance variances.
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Cites
Evaluating structural equation models with unobservable variables and measurement error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.1177/002224378101800104 · Cited by 109,190
Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003) · Journal of Applied Psychology · doi:10.1037/0021-9010.88.5.879 · Cited by 82,194
The fifth discipline, the art and practice of the learning organization
Senge, P. M. (1991) · Performance + Instruction · doi:10.1002/pfi.4170300510 · Cited by 20,060
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 Knowledge-Creating Company
Nonaka, I. (1998) · The Economic Impact of Knowledge · doi:10.1016/b978-0-7506-7009-8.50016-1 · Cited by 14,619
The theory of the growth of the firm
Penrose, E. (1996) · Long Range Planning · doi:10.1016/s0024-6301(96)90295-2 · Cited by 13,770
The Knowledge-creating company: How Japanese companies create the dynamics of innovation
(1997) · Research Policy · doi:10.1016/s0048-7333(97)80234-x · Cited by 13,156
Knowledge of the firm, combinative capabilities, and the replication of technology
Kogut, B., & Zander, U. (1992) · Organization Science · doi:10.1287/orsc.3.3.383 · Cited by 12,939
(1998) · Cited by 12,725
Working knowledge: how organizations manage what they know
(1998) · Choice Reviews Online · doi:10.5860/choice.35-5167 · Cited by 10,802
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Evasive knowledge hiding in academia: when competitive individuals are asked to collaborate
Hernaus, T., Cerne, M., Connelly, C., Poloski Vokic, N., & Škerlavaj, M. (2019) · Journal of Knowledge Management · doi:10.1108/jkm-11-2017-0531 · Cited by 325
Moraes, G. H. S. M. D., Fischer, B., Salles-Filho, S., Meissner, D., & Dabic, M. (2023) · Journal of Knowledge Management · doi:10.1108/jkm-03-2023-0267 · Cited by 16
Metadata
- Authors
- Cabrilo, S., & Dahms, S.
- Venue
- Journal of Knowledge Management
- Publisher
- Emerald
- Published
- 2018-02-12
- Volume
- 22
- Issue
- 3
- Pages
- 621-648
- ISSN
- 1367-3270 (ISSN-L)
- OpenAlex
- W2788641494
- Cited by
- 258
- References
- 149
- FWCI
- 48.19
- Type
- journal article
- Language
- en
- Open access
- closed
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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.