Specifications

- Power capture - Quadratic polynomial - Response surface models - Sample space
- Tip speed ratio
Classification code: 612.3 Gas Turbines and Engines - 632.2 Hydraulic Equipment and
Machinery - 921.5 Optimization Techniques - 921.6 Numerical Methods
DOI: 10.1088/1755-1315/15/4/042039
Database: Compendex
Compilation and indexing terms, © 2013 Elsevier Inc.
© 2013 Elsevier Inc. All rights reserved.
2013-03-16 新增 25 条
1.
Accession number: 20131016076016
Title: Network position, enterprise capabilities and knowledge power
Authors: Dang, Xing-Hua1 ; Zhang, Wei1 ; Hu, Wen-Xiu1/党兴华;张伟;扈文秀
Author affiliation: 1 School of Economics and Management, Xi'an University of Technology,
710054, China
Corresponding author: Dang, X.-H.
Source title: International Conference on Management Science and Engineering - Annual
Conference Proceedings
Abbreviated source title: Int. Conf. Manage. Sci. Eng. - Annu. Conf. Proc.
Monograph title: 2012 International Conference on Management Science and Engineering,
ICMSE 2012 - 19th Annual Conference Proceedings
Issue date: 2012
Publication year: 2012
Pages: 1155-1160
Article number: 6414321
Language: English
ISSN: 21551847
ISBN-13: 9781467330145
Document type: Conference article (CA)
Conference name: 2012 19th Annual International Conference on Management Science and
Engineering, ICMSE 2012
Conference date: September 20, 2012 - September 22, 2012
Conference location: Dallas, TX, United states
Conference code: 95652
Sponsor: National Natural Science Foundation of China; Harbin Institute of Technology
Publisher: IEEE Computer Society, 2001 L Street N.W., Suite 700, Washington, DC 20036-4928,
United States
Abstract: The dependence of node on knowledge resource in technological innovation network
is the basis of knowledge power, and also the prerequisite and guarantee for the the success of
enterprise cooperation innovation. In this study, reference on social network theory and
management theory, use optimal scaling regression to investigate the relation on enterprise
network position, enterprise capabilities and knowledge power in technological innovation
network. The result show that there is a Significant positive correlation between enterprise