One for all, all for one: Social considerations in user acceptance of contact tracing apps using longitudinal evidence from Germany and Switzerland
Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet
Standard
One for all, all for one : Social considerations in user acceptance of contact tracing apps using longitudinal evidence from Germany and Switzerland. / Abramova, Olga; Wagner, Amina; Olt, Christian M. et al.
in: International Journal of Information Management, Jahrgang 64, 102473, 06.2022.Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet
Harvard
APA
Vancouver
Bibtex
}
RIS
TY - JOUR
T1 - One for all, all for one
T2 - Social considerations in user acceptance of contact tracing apps using longitudinal evidence from Germany and Switzerland
AU - Abramova, Olga
AU - Wagner, Amina
AU - Olt, Christian M.
AU - Buxmann, Peter
N1 - Funding Information: The project was funded and supported by the German Federal Ministry of Education and Research and the Hessen State Ministry for Higher Education, Research and Arts within their joint support of the National Research Center for Applied Cybersecurity ATHENE . Publisher Copyright: © 2022 The Authors
PY - 2022/6
Y1 - 2022/6
N2 - We propose a conceptual model of acceptance of contact tracing apps based on the privacy calculus perspective. Moving beyond the duality of personal benefits and privacy risks, we theorize that users hold social considerations (i.e., social benefits and risks) that underlie their acceptance decisions. To test our propositions, we chose the context of COVID-19 contact tracing apps and conducted a qualitative pre-study and longitudinal quantitative main study with 589 participants from Germany and Switzerland. Our findings confirm the prominence of individual privacy calculus in explaining intention to use and actual behavior. While privacy risks are a significant determinant of intention to use, social risks (operationalized as fear of mass surveillance) have a notably stronger impact. Our mediation analysis suggests that social risks represent the underlying mechanism behind the observed negative link between individual privacy risks and contact tracing apps' acceptance. Furthermore, we find a substantial intention–behavior gap.
AB - We propose a conceptual model of acceptance of contact tracing apps based on the privacy calculus perspective. Moving beyond the duality of personal benefits and privacy risks, we theorize that users hold social considerations (i.e., social benefits and risks) that underlie their acceptance decisions. To test our propositions, we chose the context of COVID-19 contact tracing apps and conducted a qualitative pre-study and longitudinal quantitative main study with 589 participants from Germany and Switzerland. Our findings confirm the prominence of individual privacy calculus in explaining intention to use and actual behavior. While privacy risks are a significant determinant of intention to use, social risks (operationalized as fear of mass surveillance) have a notably stronger impact. Our mediation analysis suggests that social risks represent the underlying mechanism behind the observed negative link between individual privacy risks and contact tracing apps' acceptance. Furthermore, we find a substantial intention–behavior gap.
KW - Digital contact tracing
KW - Intention-behavior gap
KW - Longitudinal study
KW - Privacy calculus
KW - Privacy risks
KW - Surveillance
KW - Business informatics
KW - Informatics
UR - http://www.scopus.com/inward/record.url?scp=85123789556&partnerID=8YFLogxK
U2 - 10.1016/j.ijinfomgt.2022.102473
DO - 10.1016/j.ijinfomgt.2022.102473
M3 - Journal articles
AN - SCOPUS:85123789556
VL - 64
JO - International Journal of Information Management
JF - International Journal of Information Management
SN - 0268-4012
M1 - 102473
ER -