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Web Personalization as a Persuasion Strategy: An Elaboration Likelihood Model Perspective

Date

Authors

Tam, Kar Yan

Ho, Shuk (Susanna)

Publisher

Institute for Operations Research and the Management Sciences (INFORMS)

Abstract

With advances in tracking and database technologies, firms are increasingly able to understand their customers and translate this understanding into products and services that appeal to them. Technologies such as collaborative filtering, data mining, and

Keywords

Keywords: Elaboration likelihood models; Persuasion; Preference matching; Recommendation set size; Web personalization; Human computer interaction; Research; Sales; Industry Elaboration likelihood model; Human computer interaction; Persuasion; Preference matching; Recommendation set size; Sorting cue; Web personalization

URI

http://hdl.handle.net/1885/38373

Collections

ANU Research Publications

Source

Information Systems Research

Type

Journal article

DOI

10.1287/isre.1050.0058

Restricted until

2037-12-31

Downloads

File

Description

01_Tam_Web_Personalization_as_a_2005.pdf (689.3 KB)