Mergers and acquisitions synergies for US third-party logistics providers

Yen Chun Wu Jim*, Ming Jen Cheng

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

This study adopts DEA, multiple discriminant analysis and cluster analysis to construct the Mergers and Acquisitions (M&A) model and evaluate influential factors by studying 20 Third-Party Logistic (TPL) providers in the US-based on the synergy theory. The M&A model can provide insightful information on the M&A decision. It is also found that important factors generally used in the past financial research on M&A do not exhibit significant influence, showing the primary key factor is to achieve operational synergy in M&A, not financial synergy in this study. This paper makes some recommendations that assessed the targets performance before M&A activity in order to improve the chance of successful growth for logistics firms.

Original languageEnglish
Pages (from-to)253-272
Number of pages20
JournalInternational Journal of Services Operations and Informatics
Volume1
Issue number3
DOIs
Publication statusPublished - 2006
Externally publishedYes

Keywords

  • DEA
  • Mergers and Acquisitions (M&A)
  • synergy theory
  • Third-Party Logistics (TPL)

ASJC Scopus subject areas

  • Management Information Systems
  • Information Systems
  • Computer Science Applications
  • Management Science and Operations Research

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