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

Chun-Wei Lin, Yun-Jiuan Melody Parng () and Hong-Yi Chen ()
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Yun-Jiuan Melody Parng: Tayeh University
Hong-Yi Chen: Chaoyang University of Technology

No 3205849, Proceedings of Economics and Finance Conferences from International Institute of Social and Economic Sciences

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.

Keywords: Performance Evalution; International Logistics; Outsourcing; Fuzzy Neural Network (search for similar items in EconPapers)
JEL-codes: C00 C45 F23 (search for similar items in EconPapers)
Pages: 18 pages
Date: 2016-03
New Economics Papers: this item is included in nep-cmp and nep-sea
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Published in Proceedings of the Proceedings of the 5th Economic & Finance Conference, Miami, Mar 2016, pages 221-238

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Persistent link: https://EconPapers.repec.org/RePEc:sek:iefpro:3205849

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