@article{AbramovaWagnerOltetal.2022,
  author    = {Abramova, Olga and Wagner, Amina and Olt, Christian M. and Buxmann, Peter},
  title     = {One for all, all for one},
  series = {International Journal of Information Management},
  volume    = {64},
  journal   = {International Journal of Information Management},
  publisher = {Elsevier},
  address   = {Kidlington},
  issn      = {0268-4012},
  doi       = {10.1016/j.ijinfomgt.2022.102473},
  pages     = {1 -- 16},
  year      = {2022},
  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.},
  language  = {en}
}
@misc{AbramovaWagnerOltetal.2022,
  author    = {Abramova, Olga and Wagner, Amina and Olt, Christian M. and Buxmann, Peter},
  title     = {One for all, all for one},
  series = {Zweitver{\"o}ffentlichungen der Universit{\"a}t Potsdam : Wirtschafts- und Sozialwissenschaftliche Reihe},
  journal   = {Zweitver{\"o}ffentlichungen der Universit{\"a}t Potsdam : Wirtschafts- und Sozialwissenschaftliche Reihe},
  issn      = {1867-5808},
  doi       = {10.25932/publishup-60585},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-605856},
  pages     = {18},
  year      = {2022},
  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.},
  language  = {en}
}