A framework for classifying personalization scheme used on e-commerce Websites

Dezhi Wu, Il Im, M. Tremaine, K. Instone, M. Turoff

Research output: Chapter in Book/Report/Conference proceedingConference contribution

45 Citations (Scopus)

Abstract

Personalization is a new system development approach for designing information systems that change configurations based on each user's needs and preferences. Although personalization capabilities are present throughout a large number of commercial software packages, they are just beginning to be incorporated into electronic commerce. Most of this personalization has been done in an ad hoc fashion. In this paper, we present a categorization framework for organizing the various types of personalization that have been attempted on Web sites. We develop an algorithm for classifying Web sites into high, medium and low personalization support and apply it to a set of well-known Web sites such as amazon.com. Finally, we discuss why various Web sites have high or low degrees of personalization depending on the organization's goals and product mix and also how personalization might have little or large impact on a Web site's achieving its intended goal (e.g., sales, customer service, information dissemination, etc.) We also present future research that needs to be done to support our theories on how personalization impacts a Web site's success.

Original languageEnglish
Title of host publicationProceedings of the 36th Annual Hawaii International Conference on System Sciences, HICSS 2003
EditorsRalph H. Sprague
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)0769518745, 9780769518749
DOIs
Publication statusPublished - 2003 Jan 1
Event36th Annual Hawaii International Conference on System Sciences, HICSS 2003 - Big Island, United States
Duration: 2003 Jan 62003 Jan 9

Publication series

NameProceedings of the 36th Annual Hawaii International Conference on System Sciences, HICSS 2003

Other

Other36th Annual Hawaii International Conference on System Sciences, HICSS 2003
CountryUnited States
CityBig Island
Period03/1/603/1/9

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Computer Science Applications

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    Wu, D., Im, I., Tremaine, M., Instone, K., & Turoff, M. (2003). A framework for classifying personalization scheme used on e-commerce Websites. In R. H. Sprague (Ed.), Proceedings of the 36th Annual Hawaii International Conference on System Sciences, HICSS 2003 [1174586] (Proceedings of the 36th Annual Hawaii International Conference on System Sciences, HICSS 2003). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/HICSS.2003.1174586