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

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

doi:10.1109/HICSS.2003.1174586

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

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

Department of Business Administration

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

49 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 language	English
Title of host publication	Proceedings of the 36th Annual Hawaii International Conference on System Sciences, HICSS 2003
Editors	Ralph H. Sprague
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	12-23
Number of pages	12
ISBN (Electronic)	0769518745, 9780769518749
DOIs	https://doi.org/10.1109/HICSS.2003.1174586
Publication status	Published - 2003
Event	36th Annual Hawaii International Conference on System Sciences, HICSS 2003 - Big Island, United States Duration: 2003 Jan 6 → 2003 Jan 9

Publication series

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

Other

Other	36th Annual Hawaii International Conference on System Sciences, HICSS 2003
Country/Territory	United States
City	Big Island
Period	03/1/6 → 03/1/9

Bibliographical note

Publisher Copyright:
© 2003 IEEE.

All Science Journal Classification (ASJC) codes

Information Systems
Computer Science Applications

Access to Document

10.1109/HICSS.2003.1174586

Cite this

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 (pp. 12-23). [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

Wu, Dezhi ; Im, Il ; Tremaine, M. et al. / A framework for classifying personalization scheme used on e-commerce Websites. Proceedings of the 36th Annual Hawaii International Conference on System Sciences, HICSS 2003. editor / Ralph H. Sprague. Institute of Electrical and Electronics Engineers Inc., 2003. pp. 12-23 (Proceedings of the 36th Annual Hawaii International Conference on System Sciences, HICSS 2003).

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title = "A framework for classifying personalization scheme used on e-commerce Websites",

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.",

author = "Dezhi Wu and Il Im and M. Tremaine and K. Instone and M. Turoff",

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doi = "10.1109/HICSS.2003.1174586",

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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 RH 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., pp. 12-23, 36th Annual Hawaii International Conference on System Sciences, HICSS 2003, Big Island, United States, 03/1/6. https://doi.org/10.1109/HICSS.2003.1174586

A framework for classifying personalization scheme used on e-commerce Websites. / Wu, Dezhi; Im, Il; Tremaine, M. et al.
Proceedings of the 36th Annual Hawaii International Conference on System Sciences, HICSS 2003. ed. / Ralph H. Sprague. Institute of Electrical and Electronics Engineers Inc., 2003. p. 12-23 1174586 (Proceedings of the 36th Annual Hawaii International Conference on System Sciences, HICSS 2003).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Wu D, Im I, Tremaine M, Instone K, Turoff M. A framework for classifying personalization scheme used on e-commerce Websites. In Sprague RH, editor, Proceedings of the 36th Annual Hawaii International Conference on System Sciences, HICSS 2003. Institute of Electrical and Electronics Engineers Inc. 2003. p. 12-23. 1174586. (Proceedings of the 36th Annual Hawaii International Conference on System Sciences, HICSS 2003). doi: 10.1109/HICSS.2003.1174586

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

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