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Cited by 1,007

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Managing organisational knowledge by diagnosing intellectual capital: framing and advancing the state of the field

Bontis, Nick·1999·International Journal of Technology Management

Abstract

Since organisational knowledge is at the crux of sustainable competitive advantage, the burgeoning field of intellectual capital is an exciting area for both researchers and practitioners. Intellectual capital is conceptualised from numerous disciplines making the field a mosaic of perspectives. Accountants are interested in how to measure it on the balance sheet, information technologists want to codify it on systems, sociologists want to balance power with it, psychologists want to develop minds because of it, human resource managers want to calculate an ROI on it, and training and development officers want to make sure that they can build it. The following article represents a comprehensive literature review from a variety of managerial disciplines. In addition to highlighting the research to date, avenues for future pursuit are also offered.

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Crossref · 10.1504/ijtm.1999.002780

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Metadata

Authors
Bontis, N.
Venue
International Journal of Technology Management
Published
1999
Volume
18
Issue
5/6/7/8
Pages
433
ISSN
  • 0267-5730 (ISSN-L)
  • 1741-5276
OpenAlex
W1516987016
Cited by
1,007
References
7
FWCI
47.39
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Managing organisational knowledge by diagnosing intellectual capital: framing and advancing the state of the field. https://app.cochat.ai/papers/10.1504/ijtm.1999.002780
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Bontis, N. (1999). Managing organisational knowledge by diagnosing intellectual capital: framing and advancing the state of the field. International Journal of Technology Management. https://doi.org/10.1504/ijtm.1999.002780

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.