Key determinants of performance assessment for U.S. TPL: DEA and cluster analysis

Ming Jen Cheng, Yen Chun Jim Wu*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Based on empirical data of twenty third-party logistic providers in America, this study adopts DEA and cluster analysis to evaluate the key factors in performance assessment. It was found that returns of scale of DMUs' status influenced efficiency ranking. The A&P model is shown useful in distinguishing efficient DMTJs, while for inefficient DMUs the cross efficiency model is excellent. Empirical analysis in classification shows consistent results for factors directly correlated with logistics in both DEA and cluster analysis. While past research emphasized the importance of financial performance, this paper argues that it should take another perspective in performance assessment. This study indicates that important factors generally used in financial studies do not exhibit significant influence as expected, demonstrating a critical approach is to achieve operations efficiency rather than financial efficiency. Finally, this paper makes some recommendations to improve the operations' efficiency for logistics firms.

Original languageEnglish
Title of host publication2006 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2006
Pages370-375
Number of pages6
DOIs
Publication statusPublished - 2006
Externally publishedYes
Event2006 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2006 - Shanghai, China
Duration: 2006 Jun 212006 Jun 23

Publication series

Name2006 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2006

Conference

Conference2006 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2006
Country/TerritoryChina
CityShanghai
Period2006/06/212006/06/23

Keywords

  • DEA
  • Performance assessment
  • Third party logistics

ASJC Scopus subject areas

  • Information Systems
  • Information Systems and Management

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