IDEAS home Printed from https://ideas.repec.org/p/sek/iefpro/3205849.html
   My bibliography  Save this paper

A Fuzzy-Neural Performance Evaluation Approach of Selecting Outsource International Logistic Company

Author

Listed:
  • Chun Wei R. Lin

    (YunTech, Taiwan, R.O.C.)

  • Yun-Jiuan Melody Parng

    (Tayeh University)

  • Hong-Yi Chen

    (Chaoyang University of Technology)

Abstract

Owing to lack of confidence, the usage of domestic logistics services in the Asian region, e.g. Taiwanese companies, is comparatively lower than the use of international logistics companies. This paper develops an integrated fuzzy neural network performance evaluation model which is able to consider five key factors to evaluate their performance in the internationalization competence, namely, flexibility in organization structure, competitiveness in the global environment, versatility in service contents, sophistication in information technology application, and compliance in administrative regulations. The model successfully provides a transparent and systematic evaluation tool for industries to select appropriate logistic companies for international logistics services.

Suggested Citation

  • Chun Wei R. Lin & Yun-Jiuan Melody Parng & Hong-Yi Chen, 2016. "A Fuzzy-Neural Performance Evaluation Approach of Selecting Outsource International Logistic Company," Proceedings of Economics and Finance Conferences 3205849, International Institute of Social and Economic Sciences.
  • Handle: RePEc:sek:iefpro:3205849
    as

    Download full text from publisher

    File URL: https://iises.net/proceedings/5th-economics-finance-conference-miami/table-of-content/detail?cid=32&iid=015&rid=5849
    File Function: First version, 2016
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Performance Evalution; International Logistics; Outsourcing; Fuzzy Neural Network;
    All these keywords.

    JEL classification:

    • C00 - Mathematical and Quantitative Methods - - General - - - General
    • C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics
    • F23 - International Economics - - International Factor Movements and International Business - - - Multinational Firms; International Business

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sek:iefpro:3205849. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Klara Cermakova (email available below). General contact details of provider: https://iises.net/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.