| Summary: | 碩士 === 國立臺灣師範大學 === 全球經營與策略研究所 === 105 === In recent years, the global semiconductor industry is facing mergers and acquisitions (M&A), no exception for the Greater China region. Many Chinese semiconductor companies acquire technology by M&A. In addition, they start to focus on Taiwanese semiconductor companies.
The issue of M&A have to consider the both of companies and industries. Through prediction and analysis, prepare in advance for the situation while facing M&A. Companies can be well prepared when confront this circumstance. The well-prepared M&A strategy could enhance the synergy of both companies.
In this study, we distinguish which company has the higher possibility to be merged in the future by using Self-Organizing Map(SOM)algorithm , collecting data from Taiwanese listed companies in semiconductor industry.
This study contains two parts, one is qualitative research and the other is quantitative research. The first section is to find the common points between those companies who have negotiated with Chinese semiconductor companies. The second section is using SOM to analyze companies from 2012-2015. The results of the chart can visualize the connection of those companies . Due to different characteristics of the sub-industries, each sub-industry had a different cluster pattern.
And those critical clusters can be used as a reference of companies for others company to face the M&A issues in the future. The key point of SOM in this study is to collect the main variances in different sub-industries because based on industry characteristics, each industry will need specific variances. But this study show that there is none single varience are suitable for all the sub-industries. So if we can find the key variences for each sub-industries,we can do the more accurate analization of this study in the future.
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