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在新冠疫情爆发期间,社交网站上的电子口碑对旅行决策有何影响?一种两阶段方法。

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

作者信息

Nilashi Mehrbakhsh, Ali Abumalloh Rabab, Alrizq Mesfer, Alghamdi Abdullah, Samad Sarminah, Almulihi Ahmed, Althobaiti Maha M, Yousoof Ismail Muhammed, Mohd Saidatulakmal

机构信息

Centre for Global Sustainability Studies (CGSS), Universiti Sains Malaysia, 11800 USM Penang, Malaysia.

Computer Department, Applied College, Imam Abdulrahman Bin Faisal University, P.O. Box. 1982, Dammam, Saudi Arabia.

出版信息

Telemat Inform. 2022 Apr;69:101795. doi: 10.1016/j.tele.2022.101795. Epub 2022 Feb 24.

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 -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.

摘要

社交媒体用户分享各种信息和经历,并以正面或负面意见的形式创造电子口碑(eWOM),以便与他人交流。在新冠疫情爆发的背景下,电子口碑一直是知识共享和决策的有效工具。本研究旨在揭示在新冠疫情爆发期间,电子口碑的哪些因素会影响旅行者在旅行决策中的信任度。此外,我们旨在找出对电子口碑的信任与感知风险之间的关系,以及感知风险与旅行决策之间的关系。这些关系是基于猫途鹰(TripAdvisor)新冠疫情论坛上的在线客户评论进行调查的。我们采用两阶段数据分析,包括聚类分析和结构方程建模。在第一阶段,设计了一份问卷调查,并通过参考猫途鹰上的新冠疫情论坛,从1546名受访者那里收集了数据。具体而言,我们使用均值法将用户数据划分为不同的组。在第二阶段,使用679名受访者的子样本进行结构方程建模(SEM),以检验假设研究模型中变量之间的关系。分析的第一阶段结果表明,基于电子口碑来源和电子口碑信息属性,可以从收集到的信任数据中发现三个细分群体。这些细分群体清楚地表明,信任与感知风险之间以及感知风险与旅行决策之间存在显著关系。所有细分群体的结果都表明,在新冠疫情爆发期间,信任度低的用户感知风险高,旅行意愿低。此外,还发现电子信任度高的用户感知风险低,旅行意愿高。所有细分群体的这些结果都得到了证实,并且这些关系也得到了结构方程建模的确认。结构方程建模的结果表明,视觉和外部信息调节了电子口碑长度与信任之间的关系,经验调节了信任与感知风险之间的关系。对于性别的调节作用,发现感知风险对女性样本中的旅行决策影响更大。

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