2015 | OriginalPaper | Buchkapitel
Design and Implementation of System for Assets and Insolvency Prediction Applied to Industries Based on AHP and Forensic Readiness
verfasst von : Jaechun Kim, Youngjun Son, Mokdong Chung
Erschienen in: Computer Science and its Applications
Verlag: Springer Berlin Heidelberg
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Although it is important to analyze and predict corporate situation accurately in the rapidly changing environment, there are few systems to support that. Therefore, in this paper, we propose the integrated system which can monitor, predict and evaluate corporate current situation using AHP technique. As AHP, one of the decision making techniques, is based on hierarchical analysis and pairwise comparison method, it can provide fraud classification, assessment list and risk detection scenario through industrial sector analysis. The proposed system is linked to the existing legacy systems and it performs analyzing and verifying items of assets and insolvency evaluation which a corporation needs. Therefore the proposed system can manage the corporate assets and risk reliably and it can increase the company’s competitiveness and profit through non-performing assets recovery. In addition, the proposed system prevents complaints, corporate incidents and legal cost by adopting forensic readiness and forensic monitoring system which collects digital evidences about criminal and civil dispute in advance.