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Digital Pandemic Response Systems

A Strategic Management Framework Against Covid-19

Bibliographic Data

ID21475124
AuthorsBernd W Wirtz (0000-0003-1480-8513, German University of Administrative Sciences Speyer, corresponding author), Wilhelm M Müller (German University of Administrative Sciences Speyer), Wilhelm Müller (German University of Administrative Sciences), Jan C Weyerer (0000-0002-2673-1931, German University of Administrative Sciences Speyer)
Year2021
Volume44
Issue11-12
Pages896-906
Publication date2021-09-10
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueInternational Journal of Public Administration (JOURNAL)
Journal identifiersISSN: 0190-0692 • E-ISSN: 1532-4265
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/01900692.2020.1858316
OpenAlexW3114408653
LanguageEN
Citations received4
References cited36

Governments worldwide are struggling to contain the spread of COVID-19 because many countries rely on outdated, non-digital response approaches and are thus far from exploiting the potential that digital technologies provide for pandemic response. Consequently, this study constructs a systematic approach to coordinate and manage digital pandemic response applications. To do so, the study reviews 210 peer-reviewed journal articles retrieved by querying scientific databases and searching for best-practice reports. To construct a strategic action framework, this study relies upon an organizational approach illustrating target setting and functional content in five strategic action fields. As a result, this study contributes to the current state of research by explaining how digital technology and applications may improve public pandemic response management. For practitioners, the comprehensive and action-oriented approach provides insights into the scope and the content of strategic fields of digital pandemic prevention and a roadmap to prepare digital society for pandemic outbreakes

Best practice · Business · Knowledge management · Pandemic · Political science · Strategic planning · Computer Science · COVID-19 Digital Contact Tracing · COVID-19 epidemiological studies · Data-Driven Disease Surveillance · Medicine · Marketing

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Unique citing works4
Citations per year1,33
Citation span2023 - 2025 (3)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 4
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