Analyzing the interplay between social media analytics and nudges in pandemic control

Anup Kumar , Abhijeet Tewary , Parijat Upadhyay
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Abstract

This study employs a data-driven approach to examine the government's use of data insights and nudges to promote social distancing during the pandemic. Drawing from well-established technology adoption theories, a nationwide online survey was conducted among professionals and postgraduate students adapting to remote work and learning. The study unveils that access to suitable information and communication technology (ICT) significantly influences people's willingness to adhere to social distancing and work from home (WFH). Moreover, respondents' expectations of WFH's impact on job performance emerged as a critical driver for sustained social distancing, with individuals' habits playing a pivotal role in enhancing WFH performance expectancy. Notably, the study pioneers in exploring the psychological effects of government nudges during a pandemic, shedding light on an uncharted aspect of pandemic control strategies.

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分析社交媒体分析与大流行病控制中的推力之间的相互作用
本研究采用数据驱动的方法,考察了政府在大流行病期间利用数据洞察和暗示来促进社会疏远的情况。借鉴成熟的技术采用理论,我们在全国范围内对适应远程工作和学习的专业人士和研究生进行了在线调查。研究结果表明,能否获得合适的信息和通信技术(ICT)在很大程度上影响着人们是否愿意保持社会距离和在家工作(WFH)。此外,受访者对 WFH 对工作绩效影响的预期成为持续社会疏离的关键驱动因素,而个人习惯在提高 WFH 绩效预期方面发挥着关键作用。值得注意的是,这项研究开创性地探讨了大流行病期间政府暗示的心理效应,揭示了大流行病控制策略的一个未知方面。
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