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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Bai Li Zhang Jing-xiao Luo Lan Li Hui |
| Copyright Year | 2010 |
| Abstract | At present, evaluating the efficiency of enterprise knowledge innovation network (EKIN) are not yet given the enough attention. Based on the existed results from experts, combined with social networking features. The paper performs evaluating efficiency of EKIN by means of adopting seven indexes according to the principles of science, representation and feasibility, namely attention degree of cooperation and R&D, connection degree of network, ways and channels of communication at respective node, trust degree of alliance members, intensity of information flow, degree of damage, structural hole degree of network. At the same time, the data envelopment analysis (DEA) method has been introduced on the basis of the index system of evaluating efficiency empirically analyzes whether EKIN of fourteen enterprises achieve scale and technical effectiveness or not, and orders the effective evaluation units by means of the system of antagonistic cross evaluation and proposes measures of improvement for ineffective units with the application of the projection principle, all of which will be beneficial to promoting efficiency and competitiveness of innovation network. |
| Starting Page | 4773 |
| Ending Page | 4778 |
| File Size | 590134 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424468805 |
| e-ISBN | 9781424468812 |
| DOI | 10.1109/iCECE.2010.1155 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-06-25 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Knowledge engineering Innovation Network Technological innovation Analytical models Data Envelopment Analysis (DEA) Indexes Personnel Cross-evaluation Enterprise Knowledge Management Data envelopment analysis |
| Content Type | Text |
| Resource Type | Article |
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