DocumentCode
2214225
Title
A DM-Based Approach to SEW System Model
Author
Zhou, Haiwei ; Liu, Huili ; Gao, Peipei
Author_Institution
Strategic Manage. Inst., Hohai Univ., Nanjing, China
fYear
2009
fDate
26-28 Dec. 2009
Firstpage
4126
Lastpage
4129
Abstract
Enterprise strategic early warning (SEW) is to make prediction and early warning to the whole process of the formulation, implementation and evaluation of enterprise strategy, which fits the urgent need of the long-time survival and healthy development of enterprises. And data mining (DM) could reveal the to the enterprises if their future development would be faced up with crisis in addition to providing the decision level with chance of future development. These two aspects would be of even more profound significance as they are combined. On analyzing the necessity and possibility of applying the data mining to enterprise strategic early-warning, the indictors are established based on the balanced scorecard, under guidance of it´s design principle. Furthermore, the model of enterprise strategic early-warning is built.
Keywords
alarm systems; data mining; DM-based approach; SEW system model; balanced scorecard; data mining; enterprise strategic early warning; Banking; Conference management; Data mining; Delta modulation; Engineering management; Environmental management; Information science; Marketing management; Predictive models; Risk management;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Engineering (ICISE), 2009 1st International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-4909-5
Type
conf
DOI
10.1109/ICISE.2009.23
Filename
5454797
Link To Document