A Privacy-driven Enterprise Architecture Meta-Model for Supporting Compliance with the General Data Protection Regulation

Autor: Fabian Burmeister, Ingrid Schirmer, Paul Drews

Publikováno v: HICSS
Burmeister, F, Drews, P & Schirmer, I 2019, A Privacy-driven Enterprise Architecture Meta-Model for Supporting Compliance with the General Data Protection Regulation . in T X Bui (ed.), Proceedings of the 52nd Annual Hawaii International Conference on System Sciences, HICSS 2019 . Proceedings of the Annual Hawaii International Conference on System Sciences, vol. 2019-January, University of Hawaiʻi at Mānoa, Honolulu, pp. 6052-6061, 52nd Annual Hawaii International Conference on System Sciences-HICSS 2019, Maui, Hawaii, United States, 08.01.19 . https://doi.org/10.24251/HICSS.2019.729
Burmeister, F, Drews, P & Schirmer, I 2019, A Privacy-driven Enterprise Architecture Meta-Model for Supporting Compliance with the General Data Protection Regulation . in Proceedings of the 52nd Hawaii International Conference on System Sciences . University of Hawaiʻi at Mānoa, Honolulu, pp. 6052-6061, Hawaii International Conference on System Sciences-HICSS 2019, Hawaii, United States, 08.01.19 .

The processing of personal data has evolved into an integral component of businesses by providing several data-driven opportunities. Simultaneously, businesses struggle with the associated responsibility for privacy, as recent data scandals have show

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d41cb88b8769485c0bed6b15c482b49
https://doi.org/10.24251/hicss.2019.729