Abstract
Mergers and acquisitions (M&As) have become a more and more important topic in the management and development of companies. Companies usually conduct M&A to preserve or extend their competitive advantages. However, M&As usually fail in real life. For the given bidder company, a critical step to the success of M&A activities is the appropriate selection of target companies. Previous studies rarely considered the profile of the bidder company and its compatibility with candidate target companies. Although data envelopment analysis (DEA) has been applied in M&A, previous studies in this area haven’t discussed the selection. In this paper, DEA was applied to support the decision making of mergers and acquisitions for decision making units (DMUs), i.e., the companies. We established a greedy algorithm to implement the selection process. This approach can make up the deficiencies of previous studies in some degree because it considers bidder and target company simultaneously.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Applied Management Science
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
