Towards fluent decision making experience by adopting information curation functions

Wenjie Fan, Yanqing Lin, Yong Liu, Hongxiu Li, Virpi Tuunainen

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

6 Downloads (Pure)

Abstract

Information curation function (ICF) is a function that online review platforms implement to facilitate users’ review reading process given a sheer volume of reviews pertaining to a brand. Based on both fluency and information overload theories, this research attempts to unravel the role of ICF in alleviating information overload and facilitating consumers’ decision making process. Specifically, this study strives to quantify the impact of ICF use on users’ brand selection and satisfaction with selection through an integrated model that explores the effect of both external environmental cues and internal metacognitive cues. The study is expected to not only inform practitioners the usefulness of ICF, but also inspire them to seek solutions to optimize consumers’ decision making.
Original languageEnglish
Title of host publicationProceedings of the 2019 Pacific Asia Conference on Information Systems (PACIS)
EditorsDongming Xu, James Jiang, Hee-Wong Kim
PublisherAssociation for Information Systems
Publication statusPublished - 2019
Publication typeD3 Professional conference proceedings
EventPacific Asia Conference on Information Systems -
Duration: 1 Jan 1900 → …

Conference

ConferencePacific Asia Conference on Information Systems
Period1/01/00 → …

Fingerprint

Dive into the research topics of 'Towards fluent decision making experience by adopting information curation functions'. Together they form a unique fingerprint.

Cite this