DocumentCode :
511149
Title :
Research on Evaluation Model of Financial Core Competence of Listed Companies of Equipment Manufacturing
Author :
Shi, Chenghua ; Sun, Zilai ; Dong, Kunjing
Author_Institution :
Coll. of Econ. & Manage., Hebei Univ. of Eng., Handan, China
fYear :
2009
fDate :
19-20 Dec. 2009
Firstpage :
75
Lastpage :
77
Abstract :
Equipment manufacturing industry as an important pillar industry of the national economy, its level of development is directly related to development speed and quality of the national economy. In this paper, we put forward the concept of financial core competence of listed companies and chooses some representational financial indexes from many indexes, the weights of indexes are calculated through grey relational advantage analysis and information entropy. The evaluating model of financial core competitiveness of equipment manufacturing is established by using gray relational advantage analysis, Which resolves the problem that the weights are calculated subjectively and avoids the demands of large sample and typical distribution of former research. This model provide a new idea and method for evaluating financial core competence of equipment manufacturing listed companies.
Keywords :
financial management; grey systems; industrial economics; machinery production industries; equipment manufacturing industry; financial core competence; grey relational advantage analysis; information entropy; listed company; national economy; pillar industry; representational financial indexes; Companies; Conference management; Educational institutions; Finance; Financial management; Knowledge engineering; Knowledge management; Manufacturing industries; Quality management; Virtual manufacturing; Entropy; Equipment manufacturing; Financial core competence; Grey relational grade; Weight;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Knowledge Engineering and Software Engineering, 2009. KESE '09. Pacific-Asia Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-0-7695-3916-4
Type :
conf
DOI :
10.1109/KESE.2009.28
Filename :
5383616
Link To Document :
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