• DocumentCode
    2237636
  • Title

    Performance Evaluation of Customer Relationship Management under Supply Chain Integration: A Fuzzy Comprehensive Evaluation Approach

  • Author

    Tang Bo ; Liang Hongsong

  • Author_Institution
    Coll. of Econ. & Manage., Northwest A&F Univ., Yangling, China
  • fYear
    2009
  • fDate
    26-28 Dec. 2009
  • Firstpage
    2983
  • Lastpage
    2986
  • Abstract
    The development of economy, science and technology have reinforced the integration of supply chain. Customer Relationship Management (CRM) is an effective informational management method of the integration of supply chain enterprises. At present, CRM has been applied in many supply chain enterprises. Through investigation and establish evaluation indexes, got the quantitative indexes by expert evaluation, this paper has studied on it using the fuzzy comprehensive evaluation method combined with the specific situations of supply chain enterprises, then got the fuzzy comprehensive evaluation model of CRM performance under supply chain integration, so we can get an objective measure of CRM performance which brought to supply chain enterprises. This model is established with the actual situation, which is benefit to the supply chain enterprises to promote the use of resources and the optimal integration of existing resources, in order to promote the overall level and scale development of logistics industry. Simple model will have a good application.
  • Keywords
    customer relationship management; logistics; supply chain management; CRM; customer relationship management; fuzzy comprehensive evaluation approach; informational management method; logistics industry; supply chain enterprises; supply chain integration; Conference management; Customer relationship management; Educational institutions; Enterprise resource planning; Information science; Logistics; Manufacturing; Supply chain management; Supply chains; Technology management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Engineering (ICISE), 2009 1st International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-4909-5
  • Type

    conf

  • DOI
    10.1109/ICISE.2009.830
  • Filename
    5455727