Assessment on Knowledge Network Sharing Capability of Industrial Cluster Based on Dempster-Shafer Theory of Evidence

Joint Authors

Dai, Shengli
Zhang, Hailin

Source

The Scientific World Journal

Issue

Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-6, 6 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2014-03-24

Country of Publication

Egypt

No. of Pages

6

Main Subjects

Medicine
Information Technology and Computer Science

Abstract EN

Based on Theory of Evidence and reviewing research papers concerned, a concept model of knowledge sharing network among industrial cluster firms, which can be applied to assess knowledge sharing capacity, has been built.

Next, the authors create a set of assessment index systems including twelve subindexes under four principle indexes.

In this study, ten experts in the same field were invited to score all the indexes of knowledge sharing capacity concerning one certain industrial cluster.

The research result shows relatively high knowledge network sharing capacity among the certain industrial cluster firms.

Another conclusion is that the assessment method with Theory of Evidence is feasible to conduct such a research.

American Psychological Association (APA)

Dai, Shengli& Zhang, Hailin. 2014. Assessment on Knowledge Network Sharing Capability of Industrial Cluster Based on Dempster-Shafer Theory of Evidence. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-6.
https://search.emarefa.net/detail/BIM-1051147

Modern Language Association (MLA)

Dai, Shengli& Zhang, Hailin. Assessment on Knowledge Network Sharing Capability of Industrial Cluster Based on Dempster-Shafer Theory of Evidence. The Scientific World Journal No. 2014 (2014), pp.1-6.
https://search.emarefa.net/detail/BIM-1051147

American Medical Association (AMA)

Dai, Shengli& Zhang, Hailin. Assessment on Knowledge Network Sharing Capability of Industrial Cluster Based on Dempster-Shafer Theory of Evidence. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-6.
https://search.emarefa.net/detail/BIM-1051147

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1051147