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

Ming Jen Cheng, Yen Chun Jim Wu

研究成果: 書貢獻/報告類型會議論文篇章

2 引文 斯高帕斯(Scopus)

摘要

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.

原文英語
主出版物標題2006 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2006
頁面370-375
頁數6
DOIs
出版狀態已發佈 - 2006
事件2006 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2006 - Shanghai, 中国
持續時間: 2006 六月 212006 六月 23

出版系列

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

會議

會議2006 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2006
國家中国
城市Shanghai
期間2006/06/212006/06/23

ASJC Scopus subject areas

  • Information Systems
  • Information Systems and Management

指紋 深入研究「Key determinants of performance assessment for U.S. TPL: DEA and cluster analysis」主題。共同形成了獨特的指紋。

引用此