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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

Abramova, O, Wagner, A, Olt, CM & Buxmann, P 2022, 'One for all, all for one: Social considerations in user acceptance of contact tracing apps using longitudinal evidence from Germany and Switzerland', International Journal of Information Management, Jg. 64, 102473. https://doi.org/10.1016/j.ijinfomgt.2022.102473

APA

Abramova, O., Wagner, A., Olt, C. M., & Buxmann, P. (2022). One for all, all for one: Social considerations in user acceptance of contact tracing apps using longitudinal evidence from Germany and Switzerland. International Journal of Information Management, 64, Artikel 102473. https://doi.org/10.1016/j.ijinfomgt.2022.102473

Vancouver

Abramova O, Wagner A, Olt CM, Buxmann P. One for all, all for one: Social considerations in user acceptance of contact tracing apps using longitudinal evidence from Germany and Switzerland. International Journal of Information Management. 2022 Jun;64:102473. doi: 10.1016/j.ijinfomgt.2022.102473

Bibtex

@article{193bbac7e6ce4ec892520aabb5f420b5,
title = "One for all, all for one: Social considerations in user acceptance of contact tracing apps using longitudinal evidence from Germany and Switzerland",
abstract = "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.",
keywords = "Digital contact tracing, Intention-behavior gap, Longitudinal study, Privacy calculus, Privacy risks, Surveillance, Business informatics, Informatics",
author = "Olga Abramova and Amina Wagner and Olt, {Christian M.} and Peter Buxmann",
note = "Publisher Copyright: {\textcopyright} 2022 The Authors",
year = "2022",
month = jun,
doi = "10.1016/j.ijinfomgt.2022.102473",
language = "English",
volume = "64",
journal = "International Journal of Information Management",
issn = "0268-4012",
publisher = "Elsevier Ltd",

}

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 - 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 -

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DOI

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