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在 COVID-19 疫情期间,通过多中介方法构建口碑和电子政务对在线社交存在的影响模型。

Modeling Impact of Word of Mouth and E-Government on Online Social Presence during COVID-19 Outbreak: A Multi-Mediation Approach.

机构信息

School of Management, Hefei University of Technology, Hefei 230009, China.

School of Economics, Zhejiang University, Hangzhou 310058, China.

出版信息

Int J Environ Res Public Health. 2020 Apr 24;17(8):2954. doi: 10.3390/ijerph17082954.

Abstract

Although social presence plays an essential role under general conditions, its role becomes significant for societal protection during the quarantine period in epidemic outbreak. In this study, we attempted to identify the role of E-government and COVID-19 word of mouth in terms of their direct impact on online social presence during the outbreak as well as their impacts mediated by epidemic protection and attitudes toward epidemic outbreaks. For this purpose, a unique multi-mediation model is proposed to provide a new direction for research in the field of epidemic outbreaks and their control. Through random sampling, an online survey was conducted and data from 683participants were analyzed. Partial least squares structural equation modeling was used to test the relationships between the variables of interest. The study results revealed that the roles of E-government and COVID-19 word of mouth are positively related to online social presence during the outbreak. Epidemic protection and attitude toward epidemic outbreak were found to positively moderate the impact of the role of E-government and COVID-19 word of mouth on online social presence during the outbreak. The key findings of this study have both practical and academic implications.

摘要

尽管社会存在在一般情况下起着至关重要的作用,但在疫情爆发期间的隔离期间,其作用对于社会保护变得尤为重要。在这项研究中,我们试图确定电子政务和 COVID-19 口碑在疫情爆发期间对在线社交存在的直接影响,以及它们通过疫情保护和对疫情爆发的态度的中介影响。为此,提出了一种独特的多中介模型,为疫情爆发及其控制领域的研究提供了新的方向。通过随机抽样,进行了在线调查,并对 683 名参与者的数据进行了分析。使用偏最小二乘结构方程模型检验了感兴趣变量之间的关系。研究结果表明,电子政务和 COVID-19 口碑的作用与疫情爆发期间的在线社交存在呈正相关。发现疫情保护和对疫情爆发的态度正向调节电子政务和 COVID-19 口碑在疫情爆发期间对在线社交存在的影响。这项研究的主要发现具有实际和学术意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/33d2/7216275/36b80a7eed4b/ijerph-17-02954-g001.jpg

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