• DocumentCode
    2852483
  • Title

    Merger and acquisition decisions analysis with sustainability operation concept

  • Author

    Lin, T.T. ; Huang, Y.S.

  • Author_Institution
    Dept. of Int. Bus., Nat. Dong Hwa Univ., Hualien, Taiwan
  • fYear
    2011
  • fDate
    6-9 Dec. 2011
  • Firstpage
    51
  • Lastpage
    55
  • Abstract
    Under the target of mergers & acquisitions (M&As), in addition to askingthe traditional financial synergy of the maximization of shareholder wealth objectives, it is alsonecessary to think the social care and environmental commitment of social responsibility for the trend of sustainable operation.This paper mainly uses the mathematical model to evaluate how to decide M&As with the sustainability operation concept in the traditional financial economics. In order toconform tothe aspects of sustainability operation and the economical concept ofM&As about sustainabilityoperation,this paperadoptsthe real options approach that estimates the reactions of Global 100 Passive Index to the M&As of corporate sustainability operation between before and after M&As. Therefore, the key point in this model is how to decide the appropriate timing of M&As, the threshold of the mathematical model, and the analysis of M&As of corporate sustainability operation between before and after M&As.
  • Keywords
    corporate acquisitions; corporate social responsibility; decision making; financial management; mathematical analysis; sustainable development; Global 100 Passive Index; environmental commitment; financial economics; financial synergy; mathematical model; merger and acquisition decisions analysis; shareholder wealth objectives; social care; social responsibility; sustainability operation concept; Corporate acquisitions; Correlation; Economics; Indexes; Mathematical model; Timing; Decision analysis; mergers & acquisitions; real options; sustainability operation; synergy value;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management (IEEM), 2011 IEEE International Conference on
  • Conference_Location
    Singapore
  • ISSN
    2157-3611
  • Print_ISBN
    978-1-4577-0740-7
  • Electronic_ISBN
    2157-3611
  • Type

    conf

  • DOI
    10.1109/IEEM.2011.6117877
  • Filename
    6117877