An Intelligent Customer Relationship Management (I-CRM) Framework and its Analytical Approaches to the Logistics Industry
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...
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| Format: | Thesis |
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Curtin University
2012
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| Online Access: | http://hdl.handle.net/20.500.11937/48781 |
| _version_ | 1848758114533244928 |
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| author | Faed, Alireza |
| author_facet | Faed, Alireza |
| author_sort | Faed, Alireza |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T09:38:51Z |
| format | Thesis |
| id | curtin-20.500.11937-48781 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:38:51Z |
| publishDate | 2012 |
| publisher | Curtin University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-487812017-02-27T06:11:36Z An Intelligent Customer Relationship Management (I-CRM) Framework and its Analytical Approaches to the Logistics Industry Faed, Alireza 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. 2012 Thesis http://hdl.handle.net/20.500.11937/48781 Curtin University fulltext |
| spellingShingle | Faed, Alireza An Intelligent Customer Relationship Management (I-CRM) Framework and its Analytical Approaches to the Logistics Industry |
| title | An Intelligent Customer Relationship Management (I-CRM) Framework and its Analytical Approaches to the Logistics Industry |
| title_full | An Intelligent Customer Relationship Management (I-CRM) Framework and its Analytical Approaches to the Logistics Industry |
| title_fullStr | An Intelligent Customer Relationship Management (I-CRM) Framework and its Analytical Approaches to the Logistics Industry |
| title_full_unstemmed | An Intelligent Customer Relationship Management (I-CRM) Framework and its Analytical Approaches to the Logistics Industry |
| title_short | An Intelligent Customer Relationship Management (I-CRM) Framework and its Analytical Approaches to the Logistics Industry |
| title_sort | intelligent customer relationship management (i-crm) framework and its analytical approaches to the logistics industry |
| url | http://hdl.handle.net/20.500.11937/48781 |