Modeling the C(o)urse of Privacy-critical Location-based Services: Exposing Dark Side Archetypes of Location Tracking
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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Proceedings of the 54th Annual Hawaii International Conference on System Sciences, HICSS 2021. ed. / Tung X. Bui. Honolulu: University of Hawaii at Manoa, 2021. p. 6651-6660 (Proceedings of the Annual Hawaii International Conference on System Sciences; Vol. 2020-January).
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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RIS
TY - CHAP
T1 - Modeling the C(o)urse of Privacy-critical Location-based Services
T2 - 54th Hawaii International Conference on System Sciences - HICSS 2021
AU - Burmeister, Fabian
AU - Drews, Paul
AU - Schirmer, Ingrid
N1 - Conference code: 54
PY - 2021/1/1
Y1 - 2021/1/1
N2 - With the ubiquitous use of mobile devices, location-based services (LBS) have rapidly pervaded daily life. By providing context- and location-specific information, LBS enable a myriad of opportunities for individuals and organizations. However, the manifold advantages come along with a radical increase in location privacy concerns and non-transparent data flows between the various actors involved. While research often focuses on protecting the dyadic relation between the user and LBS provider, the entirety of dark sides constituting privacy violations remains hidden. In this paper, we follow the paradigm of architectural thinking to shed light on the diverse dark sides emerging in today’s LBS. By drawing on a multiple case study and developing a notation for architectural maps that help understand LBS from a socio-technical and privacy-oriented perspective, we reveal six dark side archetypes of LBS.
AB - With the ubiquitous use of mobile devices, location-based services (LBS) have rapidly pervaded daily life. By providing context- and location-specific information, LBS enable a myriad of opportunities for individuals and organizations. However, the manifold advantages come along with a radical increase in location privacy concerns and non-transparent data flows between the various actors involved. While research often focuses on protecting the dyadic relation between the user and LBS provider, the entirety of dark sides constituting privacy violations remains hidden. In this paper, we follow the paradigm of architectural thinking to shed light on the diverse dark sides emerging in today’s LBS. By drawing on a multiple case study and developing a notation for architectural maps that help understand LBS from a socio-technical and privacy-oriented perspective, we reveal six dark side archetypes of LBS.
KW - Business informatics
KW - The Dark Side of Information Technology Use
KW - archetype
KW - architectural thinking
KW - dark side
KW - location-based service
KW - privacy
UR - http://www.scopus.com/inward/record.url?scp=85108344502&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/6fb16f53-e26c-34c5-a837-d9309490b93a/
U2 - 10.24251/HICSS.2021.799
DO - 10.24251/HICSS.2021.799
M3 - Article in conference proceedings
T3 - Proceedings of the Annual Hawaii International Conference on System Sciences
SP - 6651
EP - 6660
BT - Proceedings of the 54th Annual Hawaii International Conference on System Sciences, HICSS 2021
A2 - Bui, Tung X.
PB - University of Hawaii at Manoa
CY - Honolulu
Y2 - 4 January 2021 through 8 January 2021
ER -