A customer relationship management ecosystem that utilizes multiple sources and types of information conjointly
In the current economic, budget tightening and competitive times, organizations need to be customer focused and provide customized service to customers to ensure their loyalty. To achieve this, Customer Relationship Management (CRM) systems help organizations to deal with and answer various customer...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Conference Paper |
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Curran & Associates
2012
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/4928 |
| _version_ | 1848744652790824960 |
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| author | Hussain, Omar Chang, Elizabeth Ramakonar, V. Dillon, T. |
| author2 | Curran & Associates |
| author_facet | Curran & Associates Hussain, Omar Chang, Elizabeth Ramakonar, V. Dillon, T. |
| author_sort | Hussain, Omar |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | In the current economic, budget tightening and competitive times, organizations need to be customer focused and provide customized service to customers to ensure their loyalty. To achieve this, Customer Relationship Management (CRM) systems help organizations to deal with and answer various customer queries. However with a change in the type of information being created (for example from structured to semistructured), CRM systems have to make effective use of such information which may be in multiple information sources for effective knowledge management and knowledge synthesis in order to provide customized services to the customers. In this paper, we propose a Customer Relationship Management ecosystem that conjointly utilizes multiple information sources and information types to achieve this. We explain the architecture of the proposed CRM ecosystems framework and demonstrate its application in the real estate domain. |
| first_indexed | 2025-11-14T06:04:52Z |
| format | Conference Paper |
| id | curtin-20.500.11937-4928 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T06:04:52Z |
| publishDate | 2012 |
| publisher | Curran & Associates |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-49282017-09-13T16:01:58Z A customer relationship management ecosystem that utilizes multiple sources and types of information conjointly Hussain, Omar Chang, Elizabeth Ramakonar, V. Dillon, T. Curran & Associates knowledge synthesis customer relationship management systems semi-structured data structured data In the current economic, budget tightening and competitive times, organizations need to be customer focused and provide customized service to customers to ensure their loyalty. To achieve this, Customer Relationship Management (CRM) systems help organizations to deal with and answer various customer queries. However with a change in the type of information being created (for example from structured to semistructured), CRM systems have to make effective use of such information which may be in multiple information sources for effective knowledge management and knowledge synthesis in order to provide customized services to the customers. In this paper, we propose a Customer Relationship Management ecosystem that conjointly utilizes multiple information sources and information types to achieve this. We explain the architecture of the proposed CRM ecosystems framework and demonstrate its application in the real estate domain. 2012 Conference Paper http://hdl.handle.net/20.500.11937/4928 10.1109/DEST.2012.6227911 Curran & Associates restricted |
| spellingShingle | knowledge synthesis customer relationship management systems semi-structured data structured data Hussain, Omar Chang, Elizabeth Ramakonar, V. Dillon, T. A customer relationship management ecosystem that utilizes multiple sources and types of information conjointly |
| title | A customer relationship management ecosystem that utilizes multiple sources and types of information conjointly |
| title_full | A customer relationship management ecosystem that utilizes multiple sources and types of information conjointly |
| title_fullStr | A customer relationship management ecosystem that utilizes multiple sources and types of information conjointly |
| title_full_unstemmed | A customer relationship management ecosystem that utilizes multiple sources and types of information conjointly |
| title_short | A customer relationship management ecosystem that utilizes multiple sources and types of information conjointly |
| title_sort | customer relationship management ecosystem that utilizes multiple sources and types of information conjointly |
| topic | knowledge synthesis customer relationship management systems semi-structured data structured data |
| url | http://hdl.handle.net/20.500.11937/4928 |