Proceedings of the 2015 International Conference on Electrical, Computer Engineering and Electronics

Evaluation on Risks in Inter-firm Knowledge Transfer Integrating ANP and BP Neural Network

Authors
Guo Chen, Ershi Qi
Corresponding Author
Guo Chen
Available Online June 2015.
DOI
https://doi.org/10.2991/icecee-15.2015.292How to use a DOI?
Keywords
risk evaluation; knowledge transfer; Analytic Network Process; BP neural network
Abstract

The risk attitude of the knowledge sender influences risks in inter-firm knowledge transfer. By introducing the risk attitude of the knowledge sender, a new risk evaluation method integrating Analytic Network Process and BP neural network was proposed. An example was applied to demonstrate this method by using SuperDecisions and MATLAB. The results showed that it is necessary to consider the risk attitude of the knowledge sender when evaluating risks in inter-firm knowledge transfer and this new method can evaluate risks well.

Copyright
© 2015, 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 2015 International Conference on Electrical, Computer Engineering and Electronics
Series
Advances in Computer Science Research
Publication Date
June 2015
ISBN
978-94-62520-81-3
ISSN
2352-538X
DOI
https://doi.org/10.2991/icecee-15.2015.292How to use a DOI?
Copyright
© 2015, 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  - Guo Chen
AU  - Ershi Qi
PY  - 2015/06
DA  - 2015/06
TI  - Evaluation on Risks in Inter-firm Knowledge Transfer Integrating ANP and BP Neural Network
BT  - Proceedings of the 2015 International Conference on Electrical, Computer Engineering and Electronics
PB  - Atlantis Press
SP  - 1547
EP  - 1551
SN  - 2352-538X
UR  - https://doi.org/10.2991/icecee-15.2015.292
DO  - https://doi.org/10.2991/icecee-15.2015.292
ID  - Chen2015/06
ER  -