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dc.contributor.authorRisch, Daniel
dc.contributor.authorSchubert, Petra
dc.contributor.authorLeimstoll, Uwe
dc.date.accessioned2015-10-05T15:40:55Z
dc.date.available2015-10-05T15:40:55Z
dc.date.issued2006-01-01T00:00:00Z
dc.identifier.urihttp://hdl.handle.net/11654/8949
dc.identifier.urihttp://dx.doi.org/10.26041/fhnw-2985
dc.description.abstractPersonalization is an interdisciplinary topic that has been discussed in the literature of marketing and information systems as well as in other research areas. In this paper we present findings from a longitudinal research project on personalization of e-commerce systems. The findings were taken from interviews and software development projects with company partners (action research). In a first step personalization functions are classified according to their order of appearance along the buying process. In a second step they are grouped into subcategories. There is no single strategy for selecting successful personalization functions as the suitability varies depending on parameters like industry, number of customers or product range. The main contribution described in this paper is a classification framework for existing and emerging personalization functions for e-ecommerce applications.
dc.language.isoen_UK
dc.accessRightsAnonymous
dc.subjectCRM
dc.subjectCustomer Relationship Management
dc.subject.ddc330 - Wirtschaft
dc.subject.ddc005 - Computer Programmierung, Programme und Daten
dc.titleClassification of Personalization Functions for E-Commerce Applications.
dc.type04 - Beitrag Sammelband oder Konferenzschrift
dc.subtitleCollECTeR 2006 Workshop Conference Proceedings
dc.volume2006
dc.eventCollECTeR 2006 Workshop Conference Proceedings
dc.audienceSonstige
fhnw.publicationStateVeröffentlicht
fhnw.ReviewTypeKein Peer Review
fhnw.InventedHereunbekannt
fhnw.pagination


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