LISS 2012 pp 373-378 | Cite as

A Study on the Performance Evaluation of Third-Party Logistics Enterprises Based on DEA

Conference paper

Abstract

As an important part of the transportation industry, the third-party logistics plays an important role in national economy and foreign trade of our country. It is one of the basic industries with strategic meanings in the economic construction of China’s socialism market. Based on the research findings of enterprise performance evaluation and combining with concept, characteristics and definition of third-party logistics, this paper discusses the business performance evaluation of third-party logistics enterprises. On this basis, a performance evaluation system of third-party logistics enterprises is established. Through the research on process of business performance evaluation of third-party logistics enterprises, the author introduces DEA theory to the specific evaluation of business performance of third-party logistics enterprises. Problems such as construction of input and output indicator system, choice of DEA model and analysis of evaluation, etc. are solved according to the methods and contents of DEA.

Keywords

Third-party Logistics Performance DEA Evaluation 

References

  1. 1.
    McAdams JL, Hawk EJ (1999) Organizational performance & rewards: experiences in making the link. American Compensation Association, New York, pp 663–665Google Scholar
  2. 2.
    Cools GK, van Prag M (2000) The value relevance of a single-valued corporate target [J]. An empirical analysis, Working paper, 710–712Google Scholar
  3. 3.
    MeNair CJ, Lynch RL, Cross K (2002) Do financial and nonfinancial performance. Manag Account 13(15):28–36Google Scholar
  4. 4.
    Kaplan R, Norton D (2001) The balanced scorecard measures drive performance. Harv Bus Rev 53(3):71–79Google Scholar
  5. 5.
    Rand GK (2000) Critical chain: the theory of constrains applied to project management. Int J Proj Manag 20(18):263–367Google Scholar
  6. 6.
    Handfield RBG (1996) Supply chain: best practices from the furniture industry. In: Proceedings annual meeting of the decision sciences institute, Boston, America, pp 26–27Google Scholar
  7. 7.
    Lee HL (2000) Information sharing in supply chain. Technol Manag 21(8):77–79Google Scholar
  8. 8.
    PBMSIG (2002) The performance management handbook: establishing integrated performance. Meas Syst 33(6):458–460Google Scholar
  9. 9.
    Chen Lliwen (2003) Theory model of item investment risky returns[J]. J Syst Sci Info 34(2):153–162Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Transportation Management CollegeDalian Maritime UniversityDalianP.R. China

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