ArticleTelematics and informatics2022
What is the impact of eWOM in social network sites on travel decision-making during the COVID-19 outbreak? A two-stage methodology.
Article in Telematics and informatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed, 58 citations in OpenAlex.
- From destination perceptions to visit behavior in Macao: a sequential mediation model of motivation, attitude, and intention among Mainland Chinese tourists.Frontiers in sports and active living · 2026Article
- How perceived eWOM in visual form influences online purchase intention on social media: A research based on the SOR theory.PloS one · 2025Article
- Exploring Consumers' Negative Electronic Word-of-Mouth of 5 Military Hospitals in Taiwan Through SERVQUAL and Flower of Services: Web Scraping Analysis.JMIR formative research · 2024Article
- Exploring the Impact of Time Spent Reading Product Information on E-Commerce Websites: A Machine Learning Approach to Analyze Consumer Behavior.Behavioral sciences (Basel, Switzerland) · 2023Article
- COVID-19 and sustainable development goals: A bibliometric analysis and SWOT analysis in Malaysian context.Telematics and informatics · 2023Article
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Corrections and comments
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Authors and funding
9 authors at 5 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Social media users share a variety of information and experiences and create Electronic Word of Mouth (eWOM) in the form of positive or negative opinions to communicate with others. In the context of the COVID-19 outbreak, eWOM has been an effective tool for knowledge sharing and decision making. This research aims to reveal what factors of eWOM can influence travelers' trust in their decision-making to travel during the COVID-19 outbreak. In addition, we aim to find the relationships between trust in eWOM and perceived risk, and perceived risk and the decision to travel. These relationships are investigated based on online customers' reviews in TripAdvisor's COVID-19 forums. We use a two-stage data analysis which includes cluster analysis and structural equation modeling. In the first stage, a questionnaire survey was designed and the data was collected from 1546 respondents by referring to the COVID-19 forums on TripAdvisor. Specifically, we use
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.