Proceedings of the 2016 International Conference on Electrical, Mechanical and Industrial Engineering

A Fuzzy Clustering Method for Enterprise Knowledge Creation Enablers Measurement

Authors
Yunpeng Wu
Corresponding Author
Yunpeng Wu
Available Online April 2016.
DOI
10.2991/icemie-16.2016.14How to use a DOI?
Keywords
knowledge creation capability; fuzzy clustering; classification rule
Abstract

We induce enablers of knowledge creation capability from five different aspects through analyzing process of knowledge creation. After that, by applying the fuzzy set theory and fuzzy clustering approach to analyze these enablers, a method based on fuzzy clustering is proposed. Using this method, the enterprise can find out the key attribute set of enablers which decide its enterprise knowledge creation capability can be deduced. Enterprises can adjust their strategies of knowledge management (KM) and knowledge creation according to the analytical result to improve its knowledge creation capability and gain core competence.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 International Conference on Electrical, Mechanical and Industrial Engineering
Series
Advances in Engineering Research
Publication Date
April 2016
ISBN
978-94-6252-182-7
ISSN
2352-5401
DOI
10.2991/icemie-16.2016.14How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yunpeng Wu
PY  - 2016/04
DA  - 2016/04
TI  - A Fuzzy Clustering Method for Enterprise Knowledge Creation Enablers Measurement
BT  - Proceedings of the 2016 International Conference on Electrical, Mechanical and Industrial Engineering
PB  - Atlantis Press
SP  - 54
EP  - 57
SN  - 2352-5401
UR  - https://doi.org/10.2991/icemie-16.2016.14
DO  - 10.2991/icemie-16.2016.14
ID  - Wu2016/04
ER  -