• DocumentCode
    2246343
  • Title

    The Economic Network Synergy Theory in M&A

  • Author

    Ye Guanghui ; Zhang Qiusheng ; Lin Hua

  • Author_Institution
    Sch. of Econ. & Manage., Beijing Jiaotong Univ., Beijing, China
  • Volume
    1
  • fYear
    2008
  • fDate
    19-19 Dec. 2008
  • Firstpage
    23
  • Lastpage
    26
  • Abstract
    The accurate evaluation of M&A synergy is the precondition of estimating whether it is "acquisition prospect" or "acquisition trap". The concerned scholars already have certain research on the synergy formed between acquiring parties, but there is still no solution for the working system of acquisition in economic network synergy. Based on resource basis theory and social network theory, this paper propose that the relationship among enterprises in economic network is also a kind of resource that will affect enterprise\´s long term competitive advantage--cross organization resource. Acquisition activities fundamentally change the distribution of "quality" and "quantity" of cross organization resources through the number of links in economic network and degree of relations among them. This paper start from the influence of acquisition activities on the economic network from static and dynamic perspective, analyze the influence of acquisition activities on each part of static economic network synergy, and establish a complete framework of economic network synergy research.
  • Keywords
    corporate acquisitions; microeconomics; M&A synergy evaluation; competitive advantage; economic network synergy theory; resource basis theory; social network theory; Cultural differences; Decision making; Environmental economics; Humans; Information management; Investments; Large-scale systems; Microeconomics; Seminars; Social network services; acquisition; economic network; resource; social network; synergy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Business and Information Management, 2008. ISBIM '08. International Seminar on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3560-9
  • Type

    conf

  • DOI
    10.1109/ISBIM.2008.210
  • Filename
    5117422