Earticle

초록

영어

This paper studies small and medium sized financial agency"s management states that take advantage of the Korea Federation of Saving Bank"s data. It also presents the management state and the decision-making model that monitors progressive insolvency by standardizing transfer path between relevant groups. With this in mind, we extracted explanatory variables for predictions of insolvency by using existing studies of document related insolvency. First of all, we designed a state model based on demarcated groups to take advantage of the self organizing map that groups in line with a neural network. Secondly, we developed a transition model by standardizing the transfer path between individual banks in a state model. Finally, we presented a decision-making model that integrated the state model and the transition model. This paper will provide groundwork for methods of insolvency prevention to businesses in order for them to have a smooth management system in the financial agencies.

목차

Abstract
 1. Background and objective
  1.1 Background
  1.2 Objective
 2. Study the documents
  2.1 Estimation of insolvency
  2.2 Self-Organizing Maps (SOM)
  2.3 The insolvent estimate of mutual savings bank
 3. Method and process of study
 4. Findings
  4.1 Abstraction of the core study variable
  4.2 Collecting data
  4.3 Development of decision-marking model
 5. Conclusion
 Reference

키워드

저자

• Ji-Cheol Ryu [ Dongguk Univ. Dept. of MIS, Ph.D Course ]
• Young-Jai Lee [ Dongguk Univ. Dept. of MIS, Professor ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  JITAM [Journal of Information Technology Applications and Management]

• 간기

  격월간

• pISSN

  1598-6284

• eISSN

  2508-1209

• 수록기간

  1999~2026

• 십진분류

  KDC 005 DDC 005