| Summary: | 碩士 === 輔仁大學 === 資訊管理學系 === 94 === As a result of dramatic change of industrial structure, in order to enlarge market shares and enhance competitive advantages for most of companies, merger and acquisition has become an inevitable trend. During the merger and acquisition, the decision maker of a company must analyze the benefits of merger and estimate the risks and problems which may occur during or after the merger.
For the purpose of success for merging some companies, some sound proof and effective methodology are needed to support the decision maker while choosing the best and most efficient merger and acquisition model. An intellectual merger and acquisition evaluation model is developed in this study and it can be used to provide the best strategic information for the decision makers and incorporated in a knowledge management system (KMS). For an empirical experiment, all required data, information, etc. of a known electronic company are collected through its website and related online stock systems and used in a prototype system. Further, some famous analytic hierarchy process (AHP) business software, Expert Choice, is used for analyzing the data and then obtaining some best suggestions from the merger and acquisition model and related knowledge of the empirical example.
Finally, under different simulation parameters and scenario comparisons, some major obvious results are obtained from above process and can be added into KMS. The results and their valuable information provided by the prototype system of this study are nearly identical with the actual merger and acquisition situation of the empirical company. According to the results of analysis and comparison, if the attributes are in higher (lower) similarity, then the reliability of this prototype system is higher (lower).
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