DocumentCode
2602473
Title
The fuzzy integrative evaluation model and empirical study of enterprise strategy risk based on AHP-entropy combination weight method
Author
Hua, Shang ; Ling, Bao
Author_Institution
Sch. of Manage., Dalian Univ. of Technol., Dalian, China
fYear
2010
fDate
24-26 Nov. 2010
Firstpage
334
Lastpage
341
Abstract
With the continued spread of economic globalization, increasing strategy risks facing to enterprises cause widespread concern, evaluation of Enterprise Strategy Risk has important practical significance for scientific decision-making, resource optimizing, competitive advantage achieving and potential sustainable development. We use the improved AHP and entropy weight method to set up the business enterprise strategy risk fuzzy comprehensive evaluation index system and the model This paper focuses on building enterprise strategy risk evaluation index system and model, based on which, the strategy risk of EAST Technology company is evaluated as a case study. As a result, we can find that the risk rank of the company is relatively low, and the risk from high to low in the order is the risk of external environment, the risk business capability, the risk enterprise resource risk, and the risk of corporate culture.
Keywords
business continuity; decision making; entropy; fuzzy set theory; risk analysis; strategic planning; sustainable development; AHP; analytic hierarchy process; corporate culture risk; decision making; enterprise strategy risk; entropy combination weight method; fuzzy integrative evaluation model; risk business capability; sustainable development; Biological system modeling; Companies; Decision making; Entropy; Indexes; Uncertainty; AHP assessment; combination weighting; entropy method; strategic risk;
fLanguage
English
Publisher
ieee
Conference_Titel
Management Science and Engineering (ICMSE), 2010 International Conference on
Conference_Location
Melbourne, VIC
ISSN
2155-1847
Print_ISBN
978-1-4244-8116-3
Type
conf
DOI
10.1109/ICMSE.2010.5719825
Filename
5719825
Link To Document