DocumentCode
2326520
Title
Fuzzy Evaluating Method for Channel Research in E-Supply Chain
Author
Ye Yong ; Zhang You-Hua
Author_Institution
Logistics Eng., Anhui Agric. Univ., Hefei, China
fYear
2009
fDate
23-24 May 2009
Firstpage
1
Lastpage
4
Abstract
Channel factor is usually underestimated in product quality research-Nowadays many small and medium-sized enterprises choose electronic commerce form B to B, B to C platform to do business. Different channel choice brings different marketing strategy and operation cost. The traditional channel has the superiority in the scale and the user experience, but network channel is personality, agility and flexible.The traditional information efficiency research can neglect the decision-making and the environmental factor,it needs to carry on the revision to the appraisal system mainly covering on-line channel factor:such as RFQ (request for quotation), payment system, guest´s propaganda participation, keyword search-tendering and concentration degree in order form,so this article proposes the fuzzy rejection analysis method,which study the different manufacturer, the different transportation , the different marketing channel for multi-objective decision making ,carried on sorting to the influence factor, determined the weight of the main factor and finally made the dynamic cluster char to supply the decision-making.
Keywords
decision making; electronic commerce; fuzzy set theory; supply chain management; channel factor; e-supply chain; electronic commerce; fuzzy evaluating method; fuzzy rejection analysis method; guest propaganda participation; keyword search-tendering; multiobjective decision making; payment system; request for quotation; small-and-medium-sized enterprises; Agricultural engineering; Agriculture; Appraisal; Costs; Decision making; Electronic commerce; Fuzzy systems; Logistics; Marketing and sales; Transportation;
fLanguage
English
Publisher
ieee
Conference_Titel
E-Business and Information System Security, 2009. EBISS '09. International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-2909-7
Electronic_ISBN
978-1-4244-2910-3
Type
conf
DOI
10.1109/EBISS.2009.5137985
Filename
5137985
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