What is the impact of eWOM in social network sites on travel decision-making during the COVID-19 outbreak? A two-stage methodology. (April 2022)

• Record Type: Journal Article
• Authors: Nilashi, Mehrbakhsh; Ali Abumalloh, Rabab; Alrizq, Mesfer; Alghamdi, Abdullah; Samad, Sarminah; Almulihi, Ahmed; Althobaiti, Maha M.; Yousoof Ismail, Muhammed; Mohd, Saidatulakmal
• Is Part Of: Telematics and informatics. Volume 69(2022)
• Publication Date: 2022-04
• Subjects: Electronic word of mouth -- COVID-19 outbreak -- Knowledge sharing -- Perceived risk -- Trust -- Travel plan; Telecommunication -- Periodicals; Computer networks -- Periodicals; Télécommunications -- Périodiques; Réseaux d'ordinateurs -- Périodiques; 384
• DOI: 10.1016/j.tele.2022.101795
• Languages: English
• ISSNs: 0736-5853

Abstract

Highlights: This study investigates the impact of eWOM on travel decision-making during the COVID-19 outbreak. A two-stage methodology is developed using structural equation modeling and cluster analysis. There is a significant relationship between trust and perceived risk. There is a significant relationship between perceived risk and the decision to travel. It is found that the perceived risk has a higher impact on the decision to travel in the female sample. 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 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.