One for all, all for one
- 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.
Author details: | Olga AbramovaORCiDGND, Amina WagnerORCiDGND, Christian M. OltORCiDGND, Peter BuxmannORCiDGND |
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URN: | urn:nbn:de:kobv:517-opus4-605856 |
DOI: | https://doi.org/10.25932/publishup-60585 |
ISSN: | 1867-5808 |
Title of parent work (German): | Zweitveröffentlichungen der Universität Potsdam : Wirtschafts- und Sozialwissenschaftliche Reihe |
Subtitle (English): | social considerations in user acceptance of contact tracing apps using longitudinal evidence from Germany and Switzerland |
Publication series (Volume number): | Zweitveröffentlichungen der Universität Potsdam : Wirtschafts- und Sozialwissenschaftliche Reihe (167) |
Publication type: | Postprint |
Language: | English |
Date of first publication: | 2022/02/01 |
Publication year: | 2022 |
Publishing institution: | Universität Potsdam |
Release date: | 2024/05/02 |
Tag: | digital contact tracing; intention-behavior gap; longitudinal study; privacy calculus; privacy risks; surveillance |
Article number: | 102473 |
Number of pages: | 18 |
Source: | International Journal of Information Management, Volume 64, 2022, 102473, ISSN 0268-4012, https://doi.org/10.1016/j.ijinfomgt.2022.102473 |
Organizational units: | Wirtschafts- und Sozialwissenschaftliche Fakultät / Wirtschaftswissenschaften / Fachgruppe Betriebswirtschaftslehre |
DDC classification: | 3 Sozialwissenschaften / 30 Sozialwissenschaften, Soziologie / 300 Sozialwissenschaften |
Peer review: | Referiert |
Publishing method: | Open Access / Green Open-Access |
License (German): | CC-BY - Namensnennung 4.0 International |
External remark: | Bibliographieeintrag der Originalveröffentlichung/Quelle |