卡債風暴後,使得金融市場環境變化,促使銀行經營面臨更嚴厲的挑戰。為了減少信用貸款違約(Personal Credit Loans Default)以降低逾放比例,現今已成為銀行經營的重要目標。因此,造成信用貸款違約有許多不同因素所組成,將有效減少信用貸款違約數量,並且運用決策實驗室分析法(Decision Making Trial and Evaluation Laboratory;DEMATEL)與因素分解模型(Factor Decomposition Model;FDM)結合為DFDM,將信用貸款違約問題予以結構化,以進行深入探討因素之間的落差程度。研究結果發現具有相當的可用性之解決方案,可以成功辨識出公營銀行與民營銀行關於信用貸款違約的關鍵要素與差異性,可供後續研究參考。
The card debt storm later, the change of a financial market environment and the presence of a bank’s tougher challenges a management. In order to reduce overdue loan ratio of the personal credit loans default has become to an important pointer of bank’s prosecution now. Therefore, personal credit loans default due to many different factors, which would effective reduce the number of credit loans default and used DEMATEL model discuss level difference between FDM model of the structured personal credit loans default problem. This study concludes is provided with considerable availability of solutions that can study public bank and civil bank on the breach personal credit loans default difference of factor successfully, which study can available for follow-up reference.