Research on Risk Early-Warning of Information Technology Outsoucing Project Based on Neural Network

Abstract:

Information technology outsourcing (ITO) project is a high risk project with characters of complex collaborative relationship is, high degree of creativity, uniqueness, uncertainty, large investment amount, high-tech. It is conditioned by many factors and subject to strict requirements of the employer. More and more enterprises recognize that not carrying out effective risk management in ITO project is nothing else but a "commercial suicide". Combining with the neural network model, the paper determines risk level of ITO project and risks early-warning aiming at the overall risk of ITO project. In this paper, the artificial neural network model has been analyzed. And risk level of ITO project has been confirmed. On the basis of overview of the ITO project in company S, risk early-warning model has been established with a case. The author believes that risk early-warning model would be beneficial to the overall efficiency of risk management of ITO project.

• Periodical: Applied Mechanics and Materials (Volumes 411-414)
• Pages: 2400-2405
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.411-414.2400
• Online since: September 2013
• Authors: Kun Huang
• Keywords: Information Technology Outsourcing, Neural Network (NN), Risk Early-Warning

References

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[3] Huang Kun. Research on Life-cycle Risk Management of Information Technology Outsoucing. (Economic Science Press, 2012).