文献类型：期刊文献

英文题名：Study on the evaluation for the knowledge sharing efficiency of the knowledge service network system in agile supply chain

作者：Daoping, Wang[1]; Zhe, Wang[1]; Xiaojuan, Sheng[2]

第一作者：Daoping, Wang

通讯作者：Zhe, Wang

机构：[1] Donlinks School of Economics and Management, University of Science and Technology, Beijing, 100083, China; [2] Management School, Beijing Union University, Beijing, 100101, China

第一机构：Donlinks School of Economics and Management, University of Science and Technology, Beijing, 100083, China

年份：2015

卷号：9

期号：1

起止页码：384-389

外文期刊名：Open Cybernetics and Systemics Journal

收录：EI(收录号：20163902849385);Scopus(收录号：2-s2.0-84988476246)

语种：英文

外文关键词：Backpropagation - Efficiency - Information management - Knowledge management - Neural networks - Rough set theory - Supply chains

摘要：The agility of supply chain as well as the competitiveness of the knowledge service network system is affected by knowledge sharing efficiency. In this paper, an evaluation index system for the knowledge sharing efficiency of the knowledge service network system in agile supply chain was constructed in terms of knowledge system, knowledge sharing environment, coordinating actions and sharing results. After evaluation indexes were reduced with rough set theory, a knowledge sharing efficiency evaluation model for the knowledge service network system in agile supply chain was established with error back propagation (BP) artificial neural network, and the network model was simulated with sample data, proving the evaluation result could comprehensively, accurately reflect the actual situation. Thus, the model possesses a very broad application prospect. ? Daoping et al.