Data Mining in the Research of Corporate Acquisition Performance

Qi Yue

doi:10.4028/www.scientific.net/AMR.219-220.874

Paper Titles

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Adsorption Performance of Compound Adsorbent Using the Thermal Vacuum Method
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Decoupling Analysis of a Four Degree-of-Freedoms Parallel Robot
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Data Mining in the Research of Corporate Acquisition Performance
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Research on Evolution of Chinese Telecom Industry Ecosystem Based on Logistic Model
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Traffic Flow Detection on Highways in the Intelligent Transportation System
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Web Recommendation Based on Unified Collaborative Filtering
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Research and Application of 2D Barcode in Hospital Informatization
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 219-220Data Mining in the Research of Corporate...

Data Mining in the Research of Corporate Acquisition Performance

Abstract:

With a descriptive and predictive ability, data mining can discover the hidden patterns of data from a large-scale data warehouse by precise mathematical means, which is valuable for decision making, especially for corporate top management. With a regression analysis based on a large survey data, this paper examines an important issue concerned to corporate acquisition. It is found that acquisition performance is positively influenced by organizational adjustment, top management turnover, buyers’ experience, target firm’s performance, and business relevance, and negatively influenced by region distance, shareholding ratio, state-owned shares of buyers, and relative size. The founding can have some theoretical value for corporate decision on the process of acquisitions and how to enhance acquisition performance and also indicate the practical value of data mining technology.