Merger and acquisition evaluation and decision making model
Wen-Shiung Lee
The Service Industries Journal, 2013, vol. 33, issue 15-16, 1473-1494
Abstract:
Based on three merger and acquisition (M&A) methods and applying multiple-criteria decision making, the purpose of this paper is to establish an M&A evaluation model. The decision making trial and evaluation laboratory (DEMATEL) results show that the three business M&A methods possess interactive effect and self-feedback relationships. This study utilizes the analytic network process to calculate the weights of seven evaluation criteria; expected stock dividend is ranked as the most important criterion, followed by stock price/earnings per share, stock dividend growth, sales/market capitalization ratio, discount rate, replacement value, and liquidation value. This study uses Vlsekriterijumska Optimizacija I Kompromisno Resenje (VIKOR) to evaluate the performance of three Taiwanese banks. The results show that Bank B is the best M&A investment choice. Finally, the study establishes a comprehensive M&A decision making evaluation model.
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
http://hdl.handle.net/10.1080/02642069.2011.634905 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:servic:v:33:y:2013:i:15-16:p:1473-1494
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/FSIJ20
DOI: 10.1080/02642069.2011.634905
Access Statistics for this article
The Service Industries Journal is currently edited by Eileen Bridges, Professor Domingo Ribeiro, Ronald Goldsmith, Barry Howcroft and Youjae Yi
More articles in The Service Industries Journal from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().