Modeling the C(o)urse of Privacy-critical Location-based Services: Exposing Dark Side Archetypes of Location Tracking

Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

Standard

Modeling the C(o)urse of Privacy-critical Location-based Services : Exposing Dark Side Archetypes of Location Tracking . / Burmeister, Fabian; Drews, Paul; Schirmer, Ingrid.

Proceedings of the 54th Annual Hawaii International Conference on System Sciences, HICSS 2021. Hrsg. / Tung X. Bui. Honolulu : University of Hawaiʻi at Mānoa, 2021. S. 6651-6660 (Proceedings of the Annual Hawaii International Conference on System Sciences; Band 2020-January).

Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

Harvard

Burmeister, F, Drews, P & Schirmer, I 2021, Modeling the C(o)urse of Privacy-critical Location-based Services: Exposing Dark Side Archetypes of Location Tracking . in TX Bui (Hrsg.), Proceedings of the 54th Annual Hawaii International Conference on System Sciences, HICSS 2021. Proceedings of the Annual Hawaii International Conference on System Sciences, Bd. 2020-January, University of Hawaiʻi at Mānoa, Honolulu, S. 6651-6660, 54th Annual Hawaii International Conference on System Sciences - HICSS 2021, Honolulu, USA / Vereinigte Staaten, 04.01.21. https://doi.org/10.24251/HICSS.2021.799

APA

Burmeister, F., Drews, P., & Schirmer, I. (2021). Modeling the C(o)urse of Privacy-critical Location-based Services: Exposing Dark Side Archetypes of Location Tracking . in T. X. Bui (Hrsg.), Proceedings of the 54th Annual Hawaii International Conference on System Sciences, HICSS 2021 (S. 6651-6660). (Proceedings of the Annual Hawaii International Conference on System Sciences; Band 2020-January). University of Hawaiʻi at Mānoa. https://doi.org/10.24251/HICSS.2021.799

Vancouver

Burmeister F, Drews P, Schirmer I. Modeling the C(o)urse of Privacy-critical Location-based Services: Exposing Dark Side Archetypes of Location Tracking . in Bui TX, Hrsg., Proceedings of the 54th Annual Hawaii International Conference on System Sciences, HICSS 2021. Honolulu: University of Hawaiʻi at Mānoa. 2021. S. 6651-6660. (Proceedings of the Annual Hawaii International Conference on System Sciences). doi: 10.24251/HICSS.2021.799

Bibtex

@inbook{37d40143d103405b9361f7482f0333a3,
title = "Modeling the C(o)urse of Privacy-critical Location-based Services: Exposing Dark Side Archetypes of Location Tracking ",
abstract = "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{\textquoteright}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.",
keywords = "Business informatics, The Dark Side of Information Technology Use, archetype, architectural thinking, dark side, location-based service, privacy",
author = "Fabian Burmeister and Paul Drews and Ingrid Schirmer",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE Computer Society. All rights reserved.; 54th Hawaii International Conference on System Sciences - HICSS 2021, HICSS 2021 ; Conference date: 04-01-2021 Through 08-01-2021",
year = "2021",
month = jan,
day = "1",
doi = "10.24251/HICSS.2021.799",
language = "English",
series = "Proceedings of the Annual Hawaii International Conference on System Sciences",
publisher = "University of Hawaiʻi at Mānoa",
pages = "6651--6660",
editor = "Bui, {Tung X.}",
booktitle = "Proceedings of the 54th Annual Hawaii International Conference on System Sciences, HICSS 2021",
address = "United States",
url = "https://www.insna.org/events/54th-hawaii-international-conference-on-system-sciences-hicss, https://scholarspace.manoa.hawaii.edu/communities/8db05028-a838-4e0f-911b-4ea544253c64",

}

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 Hawaiʻi at Mānoa

CY - Honolulu

Y2 - 4 January 2021 through 8 January 2021

ER -

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