• DocumentCode
    2990891
  • Title

    System method of evaluating core competence of Enterprise based on artificial neural network

  • Author

    Gao Xi-chao ; Fan Li-li ; Deng Yu

  • Author_Institution
    Sch. of Econ. & Manage., Southwest Jiaotong Univ., Chengdu, China
  • fYear
    2012
  • fDate
    20-22 Sept. 2012
  • Firstpage
    257
  • Lastpage
    269
  • Abstract
    Core competence of the enterprise is a complete system, which is composited by all sorts of related resources or ability correlated with each other. According to the Resource-Theory and Capability-Theory, the source of core competence can be concluded to seven aspects, which are Plan Ability, Organization Ability, Human Resources, Intellectual Property, Enterprise Culture, Market Capacity and Production Capacity. It´s necessary to look at each component of core competence from different perspectives for a comprehensive understanding. So the evaluation index system is designed in multidimension such as Value, Sustainability, Inimitability. This article evaluates the core competence of the enterprise by using artificial neural network, and uses the idea of AHP to solve the problem of determining the output of training sample in the neural network. Lastly, there is an empirical research by the BP neural network method, which evaluates the core competence of motor listed companies.
  • Keywords
    analytic hierarchy process; human resource management; neural nets; organisational aspects; AHP; BP neural network method; artificial neural network; capability-theory; enterprise core competence; enterprise culture; human resources; intellectual property; market capacity; motor listed companies; organization ability; plan ability; production capacity; resource-theory; Capacity planning; Companies; Data models; Indexes; Neural networks; Training; Analytic Hierarchy; Artificial Neural Network; core competence; evaluation approach;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management Science and Engineering (ICMSE), 2012 International Conference on
  • Conference_Location
    Dallas, TX
  • ISSN
    2155-1847
  • Print_ISBN
    978-1-4673-3015-2
  • Type

    conf

  • DOI
    10.1109/ICMSE.2012.6414192
  • Filename
    6414192