使用偏最小二乘结构方程模型分析COVID-19网站质量对用户满意度和使用意图的影响

Novi Mardiana, Adam Farhansyah, Odi Nurdiawan, L. Nurhayati, Slamet Risnanto, Nurwathi
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引用次数: 5

摘要

COVID-19使所有国家都保持警惕,以执行卫生协议。印尼政府从中央到地方建立了新冠肺炎信息系统,可以作为公众的信息来源。预计2019冠状病毒病大流行的持续时间将超过预期,因此需要一个可靠和准确的信息系统。因此,需要对COVID-19信息系统进行评估,特别是在地区,以提高公众对大流行的认识。本研究旨在利用偏最小二乘结构方程模型(PLS-SEM)对Kabupaten Cirebon新冠肺炎信息系统网站进行评估。我们使用WebQual 4.0对用户满意度和使用意图作为评估模型。数据来自261名受访者,他们在2020年6月至9月的四个月内对网站进行了评级。基于PLS-SEM模型的评估,服务交互质量变量对Covid-19网站用户重新访问网站和向其他用户推荐网站的影响最大。服务交互质量也是影响用户满意度的主要因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
COVID-19 Website Quality Towards User Satisfaction and Intention To Use Analysis Using Partial Least Square-Structural Equation Modeling
COVID-19 has caused all countries to remain alert to implement health protocols. The Indonesian government, from central to the regions, has built a COVID-19 information system that can be used as an information source for the public. The COVID-19 pandemic is expected to last longer than expected, so a reliable and accurate information system is needed. So there needs to be an evaluation regarding the COVID-19 information system, especially in the regions to increase the public’s awareness towards pandemic. The study aims to evaluate Kabupaten Cirebon’s COVID-19 information system website using Partial Least Square-Structural Equation Modeling (PLS-SEM). We use WebQual 4.0 towards User Satisfaction and Intention of Use as a evaluation model. Data were obtained from 261 respondents who rated website for four months from June to September 2020. Based on the assessment of the PLS-SEM model, the Service Interaction Quality variable most influences users of the Covid-19 website to re-access the website and recommend it to other users. Service Interaction Quality also dominantly influencing user satisfaction.
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