TY  - JOUR
A1  - Abramova, Olga
A1  - Wagner, Amina
A1  - Olt, Christian M.
A1  - Buxmann, Peter
T1  - One for all, all for one
BT  - social considerations in user acceptance of contact tracing apps using longitudinal evidence from Germany and Switzerland
JF  - International Journal of Information Management
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.
KW  - digital contact tracing
KW  - privacy calculus
KW  - longitudinal study
KW  - privacy risks
KW  - surveillance
KW  - intention-behavior gap
Y1  - 2022
U6  - https://doi.org/10.1016/j.ijinfomgt.2022.102473
SN  - 0268-4012
VL  - 64
SP  - 1
EP  - 16
PB  - Elsevier
CY  - Kidlington
ER  - 
TY  - GEN
A1  - Abramova, Olga
A1  - Wagner, Amina
A1  - Olt, Christian M.
A1  - Buxmann, Peter
T1  - One for all, all for one
BT  - social considerations in user acceptance of contact tracing apps using longitudinal evidence from Germany and Switzerland
T2  - Zweitveröffentlichungen der Universität Potsdam : Wirtschafts- und Sozialwissenschaftliche Reihe
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.
T3  - Zweitveröffentlichungen der Universität Potsdam : Wirtschafts- und Sozialwissenschaftliche Reihe - 167 
KW  - digital contact tracing
KW  - privacy calculus
KW  - longitudinal study
KW  - privacy risks
KW  - surveillance
KW  - intention-behavior gap
Y1  - 2022
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-605856
SN  - 1867-5808
ER  -