DocumentCode
2237636
Title
Performance Evaluation of Customer Relationship Management under Supply Chain Integration: A Fuzzy Comprehensive Evaluation Approach
Author
Tang Bo ; Liang Hongsong
Author_Institution
Coll. of Econ. & Manage., Northwest A&F Univ., Yangling, China
fYear
2009
fDate
26-28 Dec. 2009
Firstpage
2983
Lastpage
2986
Abstract
The development of economy, science and technology have reinforced the integration of supply chain. Customer Relationship Management (CRM) is an effective informational management method of the integration of supply chain enterprises. At present, CRM has been applied in many supply chain enterprises. Through investigation and establish evaluation indexes, got the quantitative indexes by expert evaluation, this paper has studied on it using the fuzzy comprehensive evaluation method combined with the specific situations of supply chain enterprises, then got the fuzzy comprehensive evaluation model of CRM performance under supply chain integration, so we can get an objective measure of CRM performance which brought to supply chain enterprises. This model is established with the actual situation, which is benefit to the supply chain enterprises to promote the use of resources and the optimal integration of existing resources, in order to promote the overall level and scale development of logistics industry. Simple model will have a good application.
Keywords
customer relationship management; logistics; supply chain management; CRM; customer relationship management; fuzzy comprehensive evaluation approach; informational management method; logistics industry; supply chain enterprises; supply chain integration; Conference management; Customer relationship management; Educational institutions; Enterprise resource planning; Information science; Logistics; Manufacturing; Supply chain management; Supply chains; Technology management;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Engineering (ICISE), 2009 1st International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-4909-5
Type
conf
DOI
10.1109/ICISE.2009.830
Filename
5455727
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