COVID-19大流行期间公众对技术的采用和使用

R. Mishra, Monica Sainy
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摘要

本研究文章确定了在COVID-19大流行期间被普通公众和最终消费者采用和使用最多的技术,并试图确定在COVID-19大流行之后采用率将继续提高的技术。报告探讨了在2019冠状病毒病危机期间,数字技术和服务如何应用于个人和企业/企业的日常生活。我们使用使用Google Forms构建的调查回复作为数据收集的方法。开展的这项研究本质上是探索性的,旨在确定在COVID-19大流行期间公众采用和使用最多的技术。本研究采用描述性统计、r检验、r平方检验和方差分析。结果显示,在受访者中,基于视频的协作技术相关服务的采用率和使用率最高,其次是流程自动化、移动/基于web的服务和微服务,以及人工智能(AI)和分析。该研究表明,企业可以专注于基于视频的协作技术、流程自动化、移动/基于网络的服务和微服务、人工智能和分析等技术,以便在COVID-19大流行期间和之后,在与最终客户和潜在客户打交道的同时推出新的服务和模型。
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Technology Adoption and Usage by the Public During the COVID-19 Pandemic
This research article determines the most adopted and used technology by common public and end consumers during the COVID-19 pandemic and tries to determine the technologies that will continue to see increased adoption rate beyond the COVID-19 pandemic. It examines examples of how digital technologies and services have been employed in daily lives of individuals and enterprises/businesses during the COVID-19 crisis. We have used responses to the survey built using Google Forms as the method for data collection. The study undertaken was exploratory in nature to identify the most adopted and used technology among common public during the COVID-19 pandemic. We used descriptive statistics, R-test, R-squared test, and ANOVA for the study. The results show that video-based collaboration technology-related services had the highest adoption and usage among respondents, followed by process automation, mobile/web-based services and microservices, and artificial intelligence (AI) and analytics. As an implication of the study, businesses can focus upon technologies such as video-based collaboration technology, process automation, mobile/web-based services and microservices, and AI and analytics—in that order—to roll out new services and models while dealing with their end customers and prospects, during and beyond the COVID-19 pandemic.
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