S
Shuk Ying Ho
Researcher at Australian National University
Publications - 44
Citations - 2176
Shuk Ying Ho is an academic researcher from Australian National University. The author has contributed to research in topics: Personalization & The Internet. The author has an hindex of 17, co-authored 42 publications receiving 1809 citations. Previous affiliations of Shuk Ying Ho include University of Melbourne.
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Journal ArticleDOI
Web Personalization as a Persuasion Strategy: An Elaboration Likelihood Model Perspective
Kar Yan Tam,Shuk Ying Ho +1 more
TL;DR: This research examines three major elements of a web personalization strategy: level of preference matching, recommendation set size, and sorting cue, and investigates a personal disposition, need for cognition, which plays a role in assessing the effectiveness of webpersonalization.
Journal ArticleDOI
Understanding the impact of web personalization on user information processing and decision outcomes
Kar Yan Tam,Shuk Ying Ho +1 more
TL;DR: The findings indicate that content relevance, self reference, and goal specificity affect the attention, cognitive processes, and decisions of web users in various ways and are found to be receptive to personalized content and find it useful as a decision aid.
Journal ArticleDOI
The effects of web personalization on user attitude and behavior: an integration of the elaboration likelihood model and consumer search theory
Shuk Ying Ho,David Bodoff +1 more
TL;DR: For online merchants, this research highlights the trade-off between item sampling and item selection and provides practical guidance on how to steer users toward the attitudes and behaviors that will realize their business goals.
Journal ArticleDOI
Timing of Adaptive Web Personalization and Its Effects on Online Consumer Behavior
TL;DR: Drawing on consumer search theory, hypotheses about consumer responses to differences in presentation timing and recommendation type and the interaction between the two are developed, establishing that quality improves over the course of an online session but the probability of considering and accepting a given recommendation diminishes over the Course of the session.