Research of Risk Evaluation of Knowledge Transfer in IT Outsourcing Based on RS-SVM

Author

Lu Xinyuan ; Yuan, Yuan ; Wang Dongmei ; Zhang Jinlong

Author_Institution

Dept. of Informaiton Manage., Huazhong Normal Univ., Wuhan, China

fYear

2009

fDate

20-22 Sept. 2009

Firstpage

1

Lastpage

4

Abstract

IT outsourcing of enterprise has been developing fast during last decade with great risk. It inherits essential risks of IT and possesses unique risks, on which attracts many research interests and achievements. This paper, after reviewing on the research development on IT outsourcing risk of enterprise, fist using theory and the method of rough set (RS) constructs the knowledge decision table of IT outsourcing risk and carry on the reduction to the related attribute; And then using support vector machines (SVM) in the decision-making data classification, helping policy maker assess and forecast the risk factors more quickly, thereby enhancing the scientific and accuracy of evaluation.

Keywords

decision making; information technology; outsourcing; risk management; rough set theory; support vector machines; IT outsourcing; RS-SVM; decision making data classification; knowledge decision table; knowledge transfer; risk evaluation; rough set; support vector machines; Data mining; Decision making; Knowledge management; Knowledge transfer; Outsourcing; Risk management; Set theory; Support vector machine classification; Support vector machines; Technology management;

fLanguage

English

Publisher

ieee

Conference_Titel

Management and Service Science, 2009. MASS '09. International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-4638-4

Electronic_ISBN

978-1-4244-4639-1

Type

conf

DOI

10.1109/ICMSS.2009.5304056

Filename

5304056