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dc.contributor.authorFaed, Alireza
dc.contributor.supervisorProf. Elizabeth Chang
dc.date.accessioned2017-02-27T06:08:48Z
dc.date.available2017-02-27T06:08:48Z
dc.date.issued2012
dc.identifier.urihttp://hdl.handle.net/20.500.11937/48781
dc.description.abstract

This thesis develops a new Intelligent Customer Relationship Management (i-CRM) framework, incorporating an i-CRM analytical methodology including text-mining, type mapping, liner, non-liner and neuron-fuzzy approaches to handle customer complaints, identify key customers in the context of business values, define problem significance and issues impact factors, coupled with i-CRM recommendations to help organizations to achieve customer satisfaction through transformation of the customer complaints to organizational opportunities and business development strategies.

en_US
dc.publisherCurtin Universityen_US
dc.titleAn Intelligent Customer Relationship Management (I-CRM) Framework and its Analytical Approaches to the Logistics Industryen_US
dc.typeThesisen_US
dcterms.educationLevelPhD
curtin.departmentDigital Ecosystems and Business Intelligence Instituteen_US
curtin.accessStatusOpen accessen_US
curtin.facultyCurtin Business Schoolen_US


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