SHS Web Conf.
Volume 35, 20173rd International Conference on Industrial Engineering (ICIE-2017)
|Number of page(s)||5|
|Section||Sustainable Development of Industrial Enterprises|
|Published online||26 June 2017|
Economic efficiency evaluation of merges and acquisitions in the sector of industry based on nonlinear model of synergistical growth of an industrial corporation value
South Ural State University, Chelyabinsk, Russia
* Corresponding author: email@example.com
Numerous research works of the end of the 20th and of the beginning of the 21st century prove that the synergistic effect often declared as the main goal of merges and acquisitions is not generated in fact. This is due to imperfection of the available methodology of its economic evaluation that does not take into account a nonlinear nature of the pooled corporation development. The article suggests a methodology of economic efficiency evaluation of merges and acquisitions in the sector of industry based on identification of synergistically successful acquisition order parameters. These are synergistic effects that with minimal investments in their achievement lead to a disproportionate increase in the value of an industrial corporation. A mathematical model has been created simulating the influence of these investments on the value of an industrial corporation. The model allows one to increase the degree of the decisions validity in merges and acquisitions in the sector of industry.
© Owned by the authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.