The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
Measuring intellectual capital: a new model and empirical study
Abstract
The groundwork of intellectual capital (IC) management, measuring IC, attracts much attention from academics and practitioners. The purpose of this paper is to design a measurement model and a qualitative index system of IC, so as to provide a good tool for enterprises to manage their IC. Based on a review of several IC measurement models proposed by western researchers, IC is classified into human capital, structural capital, innovation capital and customer capital, and thereupon a qualitative index system for the above four IC elements is designed through an analysis of their contents. Through an empirical study, it is found that there is a significant relationship between the scores of the four IC elements of a company and its business performance, which proves the validity and rationality of the IC measurement model and the qualitative index system. In the meantime, the empirical study further proves that there is a remarkable relationship between the four IC elements. Therefore enterprises must manage and improve their IC from an integrative perspective.
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Cites
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Cited by
Extended VAIC model: measuring intellectual capital components
Nazari, J. A., & Herremans, I. M. (2007) · Journal of Intellectual Capital · doi:10.1108/14691930710830774 · Cited by 362
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
Chatterjee, S., Chaudhuri, R., Thrassou, A., & Sakka, G. (2022) · Journal of Intellectual Capital · doi:10.1108/jic-12-2020-0378 · Cited by 67
Metadata
- Authors
- Chen, J., Zhu, Z., & Yuan Xie, H.
- Venue
- Journal of Intellectual Capital
- Publisher
- Emerald
- Published
- 2004-03-01
- Volume
- 5
- Issue
- 1
- Pages
- 195-212
- ISSN
- 1469-1930 (ISSN-L)
- OpenAlex
- W1964546750
- Cited by
- 755
- References
- 15
- FWCI
- 34.97
- 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).
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