Using smart and connected health services to cope with pandemics: The interaction effects of event and coping appraisals

IF 8.2 2区管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Information & Management Pub Date : 2024-04-24 DOI:10.1016/j.im.2024.103964

{"title":"Using smart and connected health services to cope with pandemics: The interaction effects of event and coping appraisals","authors":"","doi":"10.1016/j.im.2024.103964","DOIUrl":null,"url":null,"abstract":"<div>Pandemics like COVID-19 disrupt conventional healthcare services, pushing toward smart and connected health solutions including mobile healthcare applications. However, the dynamics of disruptive events influencing smart health service adoption are not well-understood. By incorporating the concept of event disruption into cognitive appraisal theory, this paper develops a research model on how individuals’ event appraisals (event disruption and event threat) interact with coping appraisals (response efficacy and self-efficacy) of smart and connected health services in driving their future usage of smart and connected health services as a coping method. We tested the model using a mixed-methods approach with quantitative and qualitative data. First, we conducted an online survey to collect quantitative data from individuals with experience in using smart and connected health services. The results showed that the moderating effect of the cognitive appraisals of an external event stimulated the usage of smart and connected health services. We then collected archival qualitative data via multiple social media platforms during the COVID-19 pandemic to cross-validate the results of the quantitative study. Implications for theory and practice are discussed.</div>","PeriodicalId":56291,"journal":{"name":"Information & Management","volume":"61 7","pages":"Article 103964"},"PeriodicalIF":8.2000,"publicationDate":"2024-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Information & Management","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0378720624000466","RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}

引用次数: 0

Abstract

Pandemics like COVID-19 disrupt conventional healthcare services, pushing toward smart and connected health solutions including mobile healthcare applications. However, the dynamics of disruptive events influencing smart health service adoption are not well-understood. By incorporating the concept of event disruption into cognitive appraisal theory, this paper develops a research model on how individuals’ event appraisals (event disruption and event threat) interact with coping appraisals (response efficacy and self-efficacy) of smart and connected health services in driving their future usage of smart and connected health services as a coping method. We tested the model using a mixed-methods approach with quantitative and qualitative data. First, we conducted an online survey to collect quantitative data from individuals with experience in using smart and connected health services. The results showed that the moderating effect of the cognitive appraisals of an external event stimulated the usage of smart and connected health services. We then collected archival qualitative data via multiple social media platforms during the COVID-19 pandemic to cross-validate the results of the quantitative study. Implications for theory and practice are discussed.

查看原文本刊更多论文

利用智能互联医疗服务应对大流行病：事件和应对评估的交互效应

像 COVID-19 这样的大流行病颠覆了传统的医疗服务，推动了包括移动医疗应用在内的智能互联医疗解决方案的发展。然而，人们对影响智能医疗服务采用的破坏性事件的动态并不十分了解。通过将事件干扰的概念纳入认知评价理论，本文建立了一个研究模型，探讨个体对智能互联医疗服务的事件评价（事件干扰和事件威胁）如何与应对评价（应对效能和自我效能）相互作用，从而推动他们在未来使用智能互联医疗服务作为一种应对方法。我们采用定量和定性数据的混合方法对该模型进行了测试。首先，我们开展了一项在线调查，从具有智能互联医疗服务使用经验的个人那里收集定量数据。结果表明，外部事件认知评价的调节作用刺激了智能互联医疗服务的使用。随后，我们通过多个社交媒体平台收集了 COVID-19 大流行期间的档案定性数据，以交叉验证定量研究的结果。本文讨论了该研究对理论和实践的启示。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Information & Management 工程技术-计算机：信息系统

CiteScore

17.90

自引率

6.10%

发文量

123

审稿时长

1 months

期刊介绍： Information & Management is a publication that caters to researchers in the field of information systems as well as managers, professionals, administrators, and senior executives involved in designing, implementing, and managing Information Systems Applications.