DocumentCode :
2632045
Title :
A Decision Making Approach on Strategic Alliance of Photovoltaic Industry Based on DEA and GM
Author :
Wang, Chia-Nan ; Wu, Ting-Chia
Author_Institution :
Dept. of Ind. Eng. & Manage., Nat. Kaohsiung Univ. of Appl. Sci., Kaohsiung
fYear :
2008
fDate :
18-20 June 2008
Firstpage :
39
Lastpage :
39
Abstract :
Facing the era of micro-profit, business making profit and gaining the competitiveness are getting more difficult. Therefore, the cooperation among businesses is the trend in nowadays. Based on data envelopment analysis (DEA) and grey forecasting model (GM), this study proposes a new decision making approach to resolve the issues of strategic alliance. The objective of this research is to provide an effective search to find the right strategic partner when a corporation implementing strategic alliance. Realistic data are collected from Taiwan published stock market. Total 11 companies of Photovoltaic Industry are collected. This paper tries to help target company M to find the right alliance partners. By our proposed approach, the results show the priority in the next three years. The results are sound for enterprises to find the future candidates of strategic alliance by many industry peoples.
Keywords :
data envelopment analysis; electronics industry; grey systems; organisational aspects; profitability; Taiwan published stock market; business cooperation; business profit; data envelopment analysis; decision making; grey forecasting model; photovoltaic industry; strategic alliance; Companies; Corporate acquisitions; Data envelopment analysis; Decision making; Economic forecasting; Industrial economics; Petroleum; Photovoltaic systems; Predictive models; Solar power generation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovative Computing Information and Control, 2008. ICICIC '08. 3rd International Conference on
Conference_Location :
Dalian, Liaoning
Print_ISBN :
978-0-7695-3161-8
Electronic_ISBN :
978-0-7695-3161-8
Type :
conf
DOI :
10.1109/ICICIC.2008.20
Filename :
4603228
Link To Document :
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