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:: Volume 2, Issue 3 (11-2015) ::
2015, 2(3): 856-870 Back to browse issues page
Strategic Alliance Decision-Making for the Auto Industry Base on an Integrate DEA and GM(1,1) Approach
Tho Nguyen * 1, Nan Wang2 , Hoan Nguyen3
1- Department of Industrial Engineering and Management, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan , nguyenhanam188@gmail.com
2- Department of Industrial Engineering and Management, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan
3- Faculty of Economics - Social, Hanoi University of Business and Technology, Hanoi, Vietnam
Abstract:   (4867 Views)
Strategic alliance promotes enterprise resources sharing and enhances the competitiveness of the marketplace. Therefore, finding a mutually beneficial partner to make a strategic alliance is an important issue for various industries. The aim of this paper is to propose a suitable method based on Grey theory and Data Envelopment Analysis (DEA). A method predicts future business and measure operation efficiency, by the use of critical input and output variables. From this, firms can find out their appropriate candidates. This research was implemented with realistic public data from four consecutive financial years (2009-2012) of twenty Auto Manufactures. The study tries to help target firm find the right alliance partners. The results show the most priori candidates in recent years. The study will be of interest for managers of Auto Manufacture in utilizing alliance strategy.
Keywords: Strategic alliance, Auto industry, Grey, Data envelopment analysis
     
Type of Study: مقاله پژوهشی |
ePublished: 2017/09/28
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Nguyen T, Wang N, Nguyen H. Strategic Alliance Decision-Making for the Auto Industry Base on an Integrate DEA and GM(1,1) Approach. Journal title 2015; 2 (3) :856-870
URL: http://system.khu.ac.ir/ijsom/article-1-2542-en.html


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Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 2, Issue 3 (11-2015) Back to browse issues page
International Journal of Supply and Operations Management International Journal of Supply and Operations Management
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