An Applied Research on Enterprise Internal Performance Appraisal of Knowledge Sharing Using Quantum Neural Networks
- DOI
- 10.2991/iccessh-18.2018.254How to use a DOI?
- Keywords
- quantum BP neural network; knowledge sharing; effectiveness; factor analysis
- Abstract
The paper analyzes factors affecting enterprise internal technical knowledge sharing and their relative influence. The research argues that willingness to share knowledge, absorption ability, trust between employees, corporate culture, and recessive features of knowledge have direct impact upon knowledge sharing benefits, which is further affected by the knowledge sharing mechanism. Based on the characteristics of knowledge sharing and influence factors, the paper combines quantum optimization algorithm with neural network. Thus, an evaluation model of knowledge sharing factors is established based on the quantum neural network, and the algorithm is given. Ten enterprises are then selected to test the effectiveness of the model.
- Copyright
- © 2018, 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 - Yan Qu PY - 2018/07 DA - 2018/07 TI - An Applied Research on Enterprise Internal Performance Appraisal of Knowledge Sharing Using Quantum Neural Networks BT - Proceedings of the 3rd International Conference on Contemporary Education, Social Sciences and Humanities (ICCESSH 2018) PB - Atlantis Press SP - 1132 EP - 1135 SN - 2352-5398 UR - https://doi.org/10.2991/iccessh-18.2018.254 DO - 10.2991/iccessh-18.2018.254 ID - Qu2018/07 ER -