Vaccination Dashboard Development during COVID-19: A Design Science Research Approach

Autor(en): Kus, Kevin
Pöhler, Ludger
Kajüter, Patricia
Arlinghaus, Tim
Teuteberg, Frank 
Stichwörter: COVID-19; Design; design science research; Design-science researches; Literature reviews; Online surveys; pandemic dashboard development; Research approach; Side effect; user interface; User interfaces; Vaccination dashboard; Vaccination dashboards; Vaccination metric; vaccination metrics; Vaccines
Erscheinungsdatum: 2022
Herausgeber: Association for Information Systems
Journal: 17th International Conference on Wirtschaftsinformatik, WI 2022
Zusammenfassung: 
The COVID-19 pandemic has affected the lives of people worldwide since the beginning of 2020. Since vaccines against COVID-19 have become available, the issue of vaccination has become increasingly important. Accordingly, vaccination dashboards are provided to inform the public about COVID-19 vaccination developments. In our study, we used a design science research (DSR) approach to explore what information vaccination dashboards should provide and how they should be designed. In addition to an initial literature review, we analyzed existing vaccination dashboards and derived information categories. Thereafter, we conducted an online survey to identify the most important metrics from a user's perspective. Our results indicate that, in addition to vaccination coverage, a comparison of vaccination efficacy and side effects is important. Subsequently, a click prototype was developed and expert interviews were carried out to determine how vaccination dashboards should be designed and which technical issues should be considered. © 2022 17th International Conference on Wirtschaftsinformatik, WI 2022. All rights reserved.
Beschreibung: 
Cited by: 0; Conference name: 17th International Conference on Wirtschaftsinformatik, WI 2022; Conference date: 21 February 2022 through 23 February 2022; Conference code: 191912
Externe URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172030130&partnerID=40&md5=3ed541df2d52b2b104b5d66d201d371d

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