Journal of Software, Vol 5, No 1 (2010), 99-106, Jan 2010
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.
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.
Keywords
enterprise complex information system; risks of information system; Evaluation of Information System; BP Neural Network
References
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