doi: 10.4304/jsw.5.1.99-106
Risk Evaluation Model on Enterprises’ Complex Information System: A Study Based on the BP Neural Network
Abstract—As modern enterprises’ dependence on complex information system is growing, higher risks of using these information systems are thus incurred. This paper firstly made an overview of both the importance of complex information systems in enterprises and the universality of risks. Then proposed and analyzed are eight types of risks of complex information systems in enterprises: infrastructure, systemic projects, system application, information asset, business continuity, information system strategy, information system supplier and outsourcer, external risks of information systems. Finally, these eight risks are introduced to construct a risk evaluation model on the enterprises’ complex information system based on the BP neural network.
Index Terms—enterprise complex information system, risks of information system, Evaluation of Information System, BP Neural Network.
Cite: Yang Huanchun, "Risk Evaluation Model on Enterprises’ Complex Information System: A Study Based on the BP Neural Network," Journal of Software vol. 5, no. 1, pp. 99-106, 2010.
General Information
ISSN: 1796-217X (Online)
Abbreviated Title: J. Softw.
Frequency: Biannually
APC: 500USD
DOI: 10.17706/JSW
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Cecilia Xie
Abstracting/ Indexing: DBLP, EBSCO,
CNKI, Google Scholar, ProQuest,
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