Purpose Based on the post-acceptance model of information system continuance (PAMISC), this study investigates the influence of the early-stage users' personal traits (specifically …
C Chen, MR Nelson - Journal of Interactive Advertising, 2024 - Taylor & Francis
The metaverse is an emerging phenomenon that lacks a widely accepted academic definition. Previous attempts have primarily focused on a technological perspective, ignoring …
Y Wang, W Liu, M Yao - new media & society, 2024 - journals.sagepub.com
Recommendation systems (RSs) leverage data and algorithms to generate a set of suggestions to reduce consumers' efforts and assist their decisions. In this study, we …
L Hui-Fei, B Yeo, L Tsai-Yi - Journal of Advertising Research, 2024 - Taylor & Francis
Despite the promises of augmented reality and virtual mirrors in advertising, there has been little research on virtual mirrors that focus on consumer traits. This study examines whether …
NH Brinson, S Holiday, JL George - Journal of Interactive …, 2024 - Taylor & Francis
More than 40% of Americans used a voice assistant (VA) this year to aid them with a host of tasks, including purchasing nearly $20 B in products and services. Voice-assisted …
Voice assistants are adopted widely, but they have proven challenging for advertisers because persuasive communication via this new medium has evoked negative user …
This study simultaneously examines children's (aged 7–12) and their parents' responses to a television ad designed to directly target, address, and influence the child. Employing a …
Y Song, L Wang, Z Zhang, L Hikkerova - Computers in Human Behavior, 2024 - Elsevier
Digital presence is increasing on social platforms, and increasing numbers of companies have begun to invite virtual influencers to endorse their products. However, the question of …
W Liu, Y Wang - International Journal of Human–Computer …, 2024 - Taylor & Francis
Recommender systems have emerged as powerful tools for providing personalized recommendations, often employed by online platforms to suggest products or media content …