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dc.contributor.authorHussain, Omar
dc.contributor.authorChang, Elizabeth
dc.contributor.authorRamakonar, V.
dc.contributor.authorDillon, T.
dc.contributor.editorCurran & Associates
dc.date.accessioned2017-01-30T10:42:36Z
dc.date.available2017-01-30T10:42:36Z
dc.date.created2012-12-17T20:00:20Z
dc.date.issued2012
dc.identifier.citationHussain, Omar Khadeer and Chang, Elizabeth and Ramakonar, Vish and Dillon, Tharam. 2012. A customer relationship management ecosystem that utilizes multiple sources and types of information conjointly, in Proceedings of the 2012 6th IEEE International Conference on Digital Ecosystems and Technologies (DEST 2012), Jun 18-20 2012, pp. 1-6. Campione d’Italia, Italy: Institute of Electrical and Electronics Engineers (IEEE).
dc.identifier.urihttp://hdl.handle.net/20.500.11937/4928
dc.identifier.doi10.1109/DEST.2012.6227911
dc.description.abstract

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.

dc.publisherCurran & Associates
dc.subjectknowledge synthesis
dc.subjectcustomer relationship management systems
dc.subjectsemi-structured data
dc.subjectstructured data
dc.titleA customer relationship management ecosystem that utilizes multiple sources and types of information conjointly
dc.typeConference Paper
dcterms.source.title2012 6th IEEE International Conference on Digital Ecosystems and Technologies
dcterms.source.series2012 6th IEEE International Conference on Digital Ecosystems and Technologies
dcterms.source.isbn9781467317023
dcterms.source.conferenceDEST 2012
dcterms.source.conference-start-dateJun 18 2012
dcterms.source.conferencelocationItaly
dcterms.source.placeItaly
curtin.department
curtin.accessStatusFulltext not available


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