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What is the impact of eWOM in social network sites on travel decision-making during the COVID-19 outbreak? A two-stage methodology

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. Th...

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Autores principales: Nilashi, Mehrbakhsh, Ali Abumalloh, Rabab, Alrizq, Mesfer, Alghamdi, Abdullah, Samad, Sarminah, Almulihi, Ahmed, Althobaiti, Maha M., Yousoof Ismail, Muhammed, Mohd, Saidatulakmal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9556033/
https://www.ncbi.nlm.nih.gov/pubmed/36268474
http://dx.doi.org/10.1016/j.tele.2022.101795
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author Nilashi, Mehrbakhsh
Ali Abumalloh, Rabab
Alrizq, Mesfer
Alghamdi, Abdullah
Samad, Sarminah
Almulihi, Ahmed
Althobaiti, Maha M.
Yousoof Ismail, Muhammed
Mohd, Saidatulakmal
author_facet Nilashi, Mehrbakhsh
Ali Abumalloh, Rabab
Alrizq, Mesfer
Alghamdi, Abdullah
Samad, Sarminah
Almulihi, Ahmed
Althobaiti, Maha M.
Yousoof Ismail, Muhammed
Mohd, Saidatulakmal
author_sort Nilashi, Mehrbakhsh
collection PubMed
description 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 k-means to segment the users’ data into different groups. In the second stage, Structural Equation Modeling (SEM) was performed to inspect the relations between the variables in the hypothesized research model using a subsample of 679 respondents. The results of the first stage of the analysis showed that three segments could be discovered from the collected data for trust based on eWOM source and eWOM message attributes. These segments clearly showed that there are significant relationships between trust and perceived risk, and between perceived risk and the decision to travel. The results in all segments showed that users with a low level of trust have a high level of perceived risk and a low level of intention to travel during the COVID-19 outbreak. In addition, it was found that users with a high level of e-trust have a low level of perceived risk and a high level of intention to travel. These results were confirmed in all segments and these relationships were confirmed by SEM. The results of SEM revealed that visual and external information moderated the relationship between eWOM length and trust, and experience moderated the relationship between trust and perceived risk. For the moderating role of gender, it was found that the perceived risk has a higher impact on the decision to travel in the female sample.
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spelling pubmed-95560332022-10-16 What is the impact of eWOM in social network sites on travel decision-making during the COVID-19 outbreak? A two-stage methodology Nilashi, Mehrbakhsh Ali Abumalloh, Rabab Alrizq, Mesfer Alghamdi, Abdullah Samad, Sarminah Almulihi, Ahmed Althobaiti, Maha M. Yousoof Ismail, Muhammed Mohd, Saidatulakmal Telemat Inform Article 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 k-means to segment the users’ data into different groups. In the second stage, Structural Equation Modeling (SEM) was performed to inspect the relations between the variables in the hypothesized research model using a subsample of 679 respondents. The results of the first stage of the analysis showed that three segments could be discovered from the collected data for trust based on eWOM source and eWOM message attributes. These segments clearly showed that there are significant relationships between trust and perceived risk, and between perceived risk and the decision to travel. The results in all segments showed that users with a low level of trust have a high level of perceived risk and a low level of intention to travel during the COVID-19 outbreak. In addition, it was found that users with a high level of e-trust have a low level of perceived risk and a high level of intention to travel. These results were confirmed in all segments and these relationships were confirmed by SEM. The results of SEM revealed that visual and external information moderated the relationship between eWOM length and trust, and experience moderated the relationship between trust and perceived risk. For the moderating role of gender, it was found that the perceived risk has a higher impact on the decision to travel in the female sample. Elsevier Ltd. 2022-04 2022-02-24 /pmc/articles/PMC9556033/ /pubmed/36268474 http://dx.doi.org/10.1016/j.tele.2022.101795 Text en © 2022 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Nilashi, Mehrbakhsh
Ali Abumalloh, Rabab
Alrizq, Mesfer
Alghamdi, Abdullah
Samad, Sarminah
Almulihi, Ahmed
Althobaiti, Maha M.
Yousoof Ismail, Muhammed
Mohd, Saidatulakmal
What is the impact of eWOM in social network sites on travel decision-making during the COVID-19 outbreak? A two-stage methodology
title What is the impact of eWOM in social network sites on travel decision-making during the COVID-19 outbreak? A two-stage methodology
title_full What is the impact of eWOM in social network sites on travel decision-making during the COVID-19 outbreak? A two-stage methodology
title_fullStr What is the impact of eWOM in social network sites on travel decision-making during the COVID-19 outbreak? A two-stage methodology
title_full_unstemmed What is the impact of eWOM in social network sites on travel decision-making during the COVID-19 outbreak? A two-stage methodology
title_short What is the impact of eWOM in social network sites on travel decision-making during the COVID-19 outbreak? A two-stage methodology
title_sort what is the impact of ewom in social network sites on travel decision-making during the covid-19 outbreak? a two-stage methodology
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9556033/
https://www.ncbi.nlm.nih.gov/pubmed/36268474
http://dx.doi.org/10.1016/j.tele.2022.101795
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