• 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