构建企业并购决策支持系统——实现并购活动的知识化管理

Building M & A Decision Support System——Knowledge Management of M&A Decision

并购活动以智能化的决策过程为特征,是在对企业内、外部大量信息进行搜集、分析、判断的基础上完成的。并购决策支持系统既可以处理大量的信息数据,又可以模拟人脑的智能行为,处理非结构化、非量化和非线性的问题,力求全面、完整地反映整个并购活动中需要考虑的决策问题,使得并购前的尽职调查、并购交易的完成以及并购后的整合不再是独立、分散的行为,而是整个并购系统工程的有机组成部分。

M&A activity is characterized by intelligent decision process. M&A decision is made on the basis of obtaining and estimation of internal and external data. M&A decision support system (for short M&A DSS) can deal with a plenty of data and information, and imitate the intelligent behavior of the human brain. M&A DSS can deal with non-structural and non-linear problem, as well as completely reflect the whole M&A activity, so it ensures that the investigation before M&A, finishing M&A trade and post merger integration is a complete process. The aim of building M&A DSS is to change the data into useful information so as to make M&A decision, furthermore, to find the general and profound rules (knowledge) and optimize the M&A decision, at last to realize the knowledge management of M&A decision.