{"title":"LES MISÉRABLES: The Tale of COVID-19 and Role of Information","authors":"Aaron M. French, V. Storey, L. Wallace","doi":"10.1080/10919392.2021.1904093","DOIUrl":null,"url":null,"abstract":"ABSTRACT As researchers, scientists, and the general public strive to understand and manage COVID-19, many people search the internet for clues that might help them understand and react to the virus in an informed manner. Social media has become a primary source of news for many, but it can also be a hindrance in managing crisis situations due to the prevalence of fake news. This paper reports on a survey administered to social media users during the first wave of the pandemic to identify perceptions and areas of conflict that influenced society’s ability to understand and contain the pandemic. Applying conflict resolution theory to the survey results enabled us to identify major issues related to the management of COVID-19, from which we made recommendations for the roles that information systems research can play in handling future pandemics or other crises. The recommendations are divided into the two general categories of media trust and crisis containment.","PeriodicalId":54777,"journal":{"name":"Journal of Organizational Computing and Electronic Commerce","volume":"31 1","pages":"96 - 113"},"PeriodicalIF":2.0000,"publicationDate":"2021-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/10919392.2021.1904093","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Organizational Computing and Electronic Commerce","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1080/10919392.2021.1904093","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 3
Abstract
ABSTRACT As researchers, scientists, and the general public strive to understand and manage COVID-19, many people search the internet for clues that might help them understand and react to the virus in an informed manner. Social media has become a primary source of news for many, but it can also be a hindrance in managing crisis situations due to the prevalence of fake news. This paper reports on a survey administered to social media users during the first wave of the pandemic to identify perceptions and areas of conflict that influenced society’s ability to understand and contain the pandemic. Applying conflict resolution theory to the survey results enabled us to identify major issues related to the management of COVID-19, from which we made recommendations for the roles that information systems research can play in handling future pandemics or other crises. The recommendations are divided into the two general categories of media trust and crisis containment.
期刊介绍:
The aim of the Journal of Organizational Computing and Electronic Commerce (JOCEC) is to publish quality, fresh, and innovative work that will make a difference for future research and practice rather than focusing on well-established research areas.
JOCEC publishes original research that explores the relationships between computer/communication technology and the design, operations, and performance of organizations. This includes implications of the technologies for organizational structure and dynamics, technological advances to keep pace with changes of organizations and their environments, emerging technological possibilities for improving organizational performance, and the many facets of electronic business.
Theoretical, experimental, survey, and design science research are all welcome and might look at:
• E-commerce
• Collaborative commerce
• Interorganizational systems
• Enterprise systems
• Supply chain technologies
• Computer-supported cooperative work
• Computer-aided coordination
• Economics of organizational computing
• Technologies for organizational learning
• Behavioral aspects of organizational computing.