Evaluating Mergers and Acquisitions: A Belief Function Approach

作者: Rajendra P. Srivastava , Deepak K. Datta

DOI: 10.1007/978-3-7908-1798-0_8

关键词:

摘要: Studies indicate that mergers and acquisitions are characterized by a high failure rate, often attributed to an inability on the part of acquiring firm management effectively evaluate potential acquisition candidates. This is not surprising given considerable uncertainties surrounding both relationships among factors in evaluation process also assessment evidence. paper develops conceptual framework for merger decisions using evidential reasoning approach under belief function framework. It seeks illustrate how expert knowledge relevant can be mapped network used decision makers incorporate Also highlighted fact nature extent evidence needs collected depends rules assumed govern input variables. Implications theory practice discussed.

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