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Cited by 1,111

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Intellectual capital and traditional measures of corporate performance

Open access
Firer, Steven, Mitchell Williams, S.·2003·Journal of Intellectual Capital

Abstract

The principal purpose of this study is to investigate the association between the efficiency of value added (VA) by the major components of a firm's resource base (physical capital, human capital and structural capital) and three traditional dimensions of corporate performance: profitability, productivity, and market valuation. Data are drawn from a sample of 75 publicly traded firms from South Africa from business sectors heavily reliant on intellectual capital. Empirical analysis is conducted using correlation and linear multiple regression analysis. Findings from the empirical analysis indicate that associations between the efficiency of VA by a firm's major resource bases and profitability, productivity and market valuation are generally limited and mixed. Overall, the empirical findings suggest that physical capital remains the most significant underlying resource of corporate performance in South Africa despite efforts to increase the nation's intellectual capital base.

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Metadata

Authors
Firer, S., & Mitchell Williams, S.
Venue
Journal of Intellectual Capital
Publisher
Emerald
Published
2003-09-01
Volume
4
Issue
3
Pages
348-360
ISSN
1469-1930 (ISSN-L)
OpenAlex
W1999493438
Cited by
1,111
References
1
FWCI
15.40
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Intellectual capital and traditional measures of corporate performance. https://app.cochat.ai/papers/10.1108/14691930310487806
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Firer, S., & Mitchell Williams, S. (2003). Intellectual capital and traditional measures of corporate performance. Journal of Intellectual Capital. https://doi.org/10.1108/14691930310487806

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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.