Proceedings of the 2nd International Conference on Science and Social Research (ICSSR 2013)

Fuzzy Comprehensive Evaluation Model of Enterprise M&A Risk Based on AHP

Authors
Jing Ma, Xueqiu Zhan
Corresponding Author
Jing Ma
Available Online July 2013.
DOI
10.2991/icssr-13.2013.63How to use a DOI?
Keywords
M&A; risk evaluation; AHP
Abstract

Enterprise Merges and Acquisitions (M&A) achieves the target of rapidly expand and increase asset scale, promote industrial upgrading and optimize resources allocation within the community as well as improve scale economic value of enterprises by transfer and reconstruct existing resources in the economic structure. However, the identification, evaluation and control on risk of enterprises M&A are of severe shortage. The paper firstly analyzed and evaluated on six kinds of general evaluation model about enterprise M&A risk. The disadvantages of these models were also given. On this basis, fuzzy comprehensive evaluation model based on AHP was presented. The specific application of comprehensive evaluation model was also provided.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2nd International Conference on Science and Social Research (ICSSR 2013)
Series
Advances in Intelligent Systems Research
Publication Date
July 2013
ISBN
10.2991/icssr-13.2013.63
ISSN
1951-6851
DOI
10.2991/icssr-13.2013.63How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Jing Ma
AU  - Xueqiu Zhan
PY  - 2013/07
DA  - 2013/07
TI  - Fuzzy Comprehensive Evaluation Model of Enterprise M&A Risk Based on AHP
BT  - Proceedings of the 2nd International Conference on Science and Social Research (ICSSR 2013)
PB  - Atlantis Press
SP  - 286
EP  - 289
SN  - 1951-6851
UR  - https://doi.org/10.2991/icssr-13.2013.63
DO  - 10.2991/icssr-13.2013.63
ID  - Ma2013/07
ER  -