Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/125135
DC FieldValueLanguage
dc.contributor東南亞語言與文化學士學位學程
dc.creator黎氏仁
dc.creatorLe, Thi-Nham
dc.creatorHuang ,  Ying Fang
dc.creatorWang, Chia Nan
dc.date2014-06
dc.date.accessioned2019-08-13T01:35:10Z-
dc.date.available2019-08-13T01:35:10Z-
dc.date.issued2019-08-13T01:35:10Z-
dc.identifier.urihttp://nccur.lib.nccu.edu.tw/handle/140.119/125135-
dc.description.abstractThis study applies an assessment model to measure the efficiency of companies in Vietnam garment industry based on Grey theory (GM (1, 1)) and data envelopment analysis model. The objective of this research is to provide an effective method to find the right strategic partners. Total 11 companies of garment industry are chosen with realistic data collected from financial statements of Vietnam published stock market during period 2007 to 2010. Firstly, the GM (1, 1) is employed to predict the inputs and outputs factor. Secondly, Slack based measure of supper efficiency (Super-SBM) model is applied to help the target company to find the right partners. The empirical results show that companies who have better efficiencies do not guarantee them to get the good performance after alliances, companies with low-mid efficiencies may have the chance to put in efforts for alliances because they may get some benefits for both candidate and target companies. This study could give companies some recommendations about how to improve productivity as well.
dc.format.extent146806 bytes-
dc.format.mimetypeapplication/pdf-
dc.relation2014 International Symposium on Computer, Consumer and Control, IEEE, pp.1-4
dc.titleThe Selection of Strategic Alliance Partner in Vietnam Garment Industry Using Grey Theory and DEA
dc.typeconference
dc.identifier.doi10.1109/IS3C.2014.180
dc.doi.uri10.1109/IS3C.2014.180
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextopen-
item.openairetypeconference-
item.fulltextWith Fulltext-
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