A Study on the Development and Application of Enterprise Risk Warning System
碩士 === 東吳大學 === 企業管理學系 === 99 === Facing the intense competition of the twenty-first century, the frequency and effect of enterprise risks are higher than ever. The occurrences of business crises often involve business cycle, environmental change, mismanagement, unexpected events or other factors....
Main Authors: | , |
---|---|
Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2011
|
Online Access: | http://ndltd.ncl.edu.tw/handle/98029462648661672704 |
id |
ndltd-TW-099SCU05121054 |
---|---|
record_format |
oai_dc |
spelling |
ndltd-TW-099SCU051210542016-04-11T04:22:42Z http://ndltd.ncl.edu.tw/handle/98029462648661672704 A Study on the Development and Application of Enterprise Risk Warning System 企業風險預警系統之建構與應用 Hui-jung Wu 吳惠榕 碩士 東吳大學 企業管理學系 99 Facing the intense competition of the twenty-first century, the frequency and effect of enterprise risks are higher than ever. The occurrences of business crises often involve business cycle, environmental change, mismanagement, unexpected events or other factors. In view of this, companies should carefully consider the business risks, correctly estimate and objectively analyze the risks they are confronted with, and establish an early warning system in order to make an overall and proper enterprise risk management. In this study, the U.S. Commission of COSO Enterprise Risk Management - Integrated Framework has been taken as a reference to develop an early warning system of enterprise risk management for manufacturing and service industries. In addition, by screening risk factors using the Gray Relational Analysis method, finding the relations between risk factors using the Decision Making Trial and Evaluation Laboratory (DEMATEL) method, and furthermore determine risk source and the relative weight of risk factors with the help of the Analysis of Network Programming (ANP) method, an early warning system model for a case company will be made. This study proposes five principles of early warning threshold according to the different characteristics of risk factors, including the upper and lower limits (25%, 75%), laws and regulations, corporate professional judgments, subjective judgments of decision-makers and uncontrollable external factors. In addition, this study also uses the warning lights diagram in combination with the principles of early warning threshold to show risk early warning signals so as to carry out risk control. Finally, in order to enable enterprises to prepare necessary information when carrying out an early warning system, this study has developed a form on the information needed when developing a enterprise risk warning system. Kai-jie Jia 賈凱傑 2011 學位論文 ; thesis 200 zh-TW |
collection |
NDLTD |
language |
zh-TW |
format |
Others
|
sources |
NDLTD |
description |
碩士 === 東吳大學 === 企業管理學系 === 99 === Facing the intense competition of the twenty-first century, the frequency and effect of enterprise risks are higher than ever. The occurrences of business crises often involve business cycle, environmental change, mismanagement, unexpected events or other factors. In view of this, companies should carefully consider the business risks, correctly estimate and objectively analyze the risks they are confronted with, and establish an early warning system in order to make an overall and proper enterprise risk management.
In this study, the U.S. Commission of COSO Enterprise Risk Management - Integrated Framework has been taken as a reference to develop an early warning system of enterprise risk management for manufacturing and service industries. In addition, by screening risk factors using the Gray Relational Analysis method, finding the relations between risk factors using the Decision Making Trial and Evaluation Laboratory (DEMATEL) method, and furthermore determine risk source and the relative weight of risk factors with the help of the Analysis of Network Programming (ANP) method, an early warning system model for a case company will be made.
This study proposes five principles of early warning threshold according to the different characteristics of risk factors, including the upper and lower limits (25%, 75%), laws and regulations, corporate professional judgments, subjective judgments of decision-makers and uncontrollable external factors.
In addition, this study also uses the warning lights diagram in combination with the principles of early warning threshold to show risk early warning signals so as to carry out risk control.
Finally, in order to enable enterprises to prepare necessary information when carrying out an early warning system, this study has developed a form on the information needed when developing a enterprise risk warning system.
|
author2 |
Kai-jie Jia |
author_facet |
Kai-jie Jia Hui-jung Wu 吳惠榕 |
author |
Hui-jung Wu 吳惠榕 |
spellingShingle |
Hui-jung Wu 吳惠榕 A Study on the Development and Application of Enterprise Risk Warning System |
author_sort |
Hui-jung Wu |
title |
A Study on the Development and Application of Enterprise Risk Warning System |
title_short |
A Study on the Development and Application of Enterprise Risk Warning System |
title_full |
A Study on the Development and Application of Enterprise Risk Warning System |
title_fullStr |
A Study on the Development and Application of Enterprise Risk Warning System |
title_full_unstemmed |
A Study on the Development and Application of Enterprise Risk Warning System |
title_sort |
study on the development and application of enterprise risk warning system |
publishDate |
2011 |
url |
http://ndltd.ncl.edu.tw/handle/98029462648661672704 |
work_keys_str_mv |
AT huijungwu astudyonthedevelopmentandapplicationofenterpriseriskwarningsystem AT wúhuìróng astudyonthedevelopmentandapplicationofenterpriseriskwarningsystem AT huijungwu qǐyèfēngxiǎnyùjǐngxìtǒngzhījiàngòuyǔyīngyòng AT wúhuìróng qǐyèfēngxiǎnyùjǐngxìtǒngzhījiàngòuyǔyīngyòng AT huijungwu studyonthedevelopmentandapplicationofenterpriseriskwarningsystem AT wúhuìróng studyonthedevelopmentandapplicationofenterpriseriskwarningsystem |
_version_ |
1718221150963630080 |