TY - JOUR A1 - Golland, Alexander T1 - Die Verarbeitung zum Zwecke der Vertragserfüllung – Leitlinien des Europäischen Datenschutzausschusses JF - DSB Datenschutz-Berater Y1 - 2019 SN - 0170-7256 VL - 43 IS - 7-8 SP - 167 EP - 168 PB - DFV Mediengruppe CY - Frankfurt a.M. ER - TY - CHAP A1 - Becker, Jörg A1 - Eggert, Mathias A1 - Fleischer, Stefan A1 - Heddier, Marcel A1 - Knackstedt, Ralf T1 - Data Warehouse Design and Legal Visualization – The Applicability of H2 for Reporting T2 - Proceedings of the 23rd Australasian Conference on Information Systems 2012 Y1 - 2012 N1 - Australasian Conference on Information Systems (23rd : 2012 : Geelong, Victoria) ER - TY - CHAP A1 - Golland, Alexander T1 - Struggling with users’ consent: Economic approach to solve the issue of coupling T2 - Turning Point in Data Protection Law Y1 - 2020 SN - 978-3-8487-6909-4 U6 - https://doi.org/10.5771/9783748921561-121 SP - 121 EP - 126 PB - Nomos CY - Baden-Baden ER - TY - JOUR A1 - Golland, Alexander T1 - Bußgelder wegen Datenschutzverstößen – Vermeidung und Verteidigung. Deutsche Aufsichtsbehörden setzen seit vergangenem Jahr zunehmend auf Sanktion JF - NWB Steuer- und Wirtschaftsrecht Y1 - 2021 SN - 0028-3460 VL - 36 SP - 2678 EP - 2687 PB - NWB-Verlag CY - Herne ER - TY - CHAP A1 - Knackstedt, Ralf A1 - Eggert, Mathias A1 - Heddier, Marcel A1 - Chasin, Friedrich A1 - Becker, Jörg T1 - The Relationship of IS and Law - Insights into the German Online Car Registration Case T2 - ECIS 2013 Completed Research. 18. Proceedings of the 21st European Conference on Information Systems Y1 - 2013 ER - TY - CHAP A1 - Knackstedt, Ralf A1 - Eggert, Mathias A1 - Heddier, Marcel A1 - Chasin, Friedrich A1 - Becker, Jörg T1 - The Relationship Of Is And Law - The Perspective Of And Implications For IS Research T2 - ECIS 2013 Completed Research. 18 Y1 - 2013 N1 - Proceedings of the 21st European Conference on Information Systems ER - TY - CHAP A1 - Eggert, Mathias A1 - Edelbauer, Thomas Rudolf T1 - Gamified Information Systems for Assisted Living Facilities - Relevant Design Guidelines, Affordances and Adoption Barriers N2 - Gamification and gamified information systems (GIS) apply video game elements to encourage the work on boring and everyday tasks. Meanwhile, several research works provide evidence that gamification increases efficiency and effectivity of such tasks. The paper at hand investigates the health care sector, which is challenged with cost pressure and suffers in process efficiency. We hypothesize that GIS may improve the efficiency and quality of care processes. By applying an interview-based content analysis, the paper at hand evaluates gamification elements in an assisted living environment and provides three research contributions. First, insights into relevant GIS affordances and application examples for assisted living facilities are given. Second, assisted living experts evaluate GIS design guidelines. Both the relevant affordances and design principles comprise a basis for the development of a GIS for social workers in assisted living facilities. Third, potential adoption barriers and design guidelines for GIS in assisted living are presented. Y1 - 2020 U6 - https://doi.org/10.30844/wi_2020_f3-eggert N1 - 15. Internationale Tagung zur Wirtschaftsinformatik, 09. – 11.03.2020, Potsdam PB - GITO CY - Berlin ER - TY - CHAP A1 - Becker, Jörg A1 - Bergener, Philipp A1 - Breuker, Dominic A1 - Delfmann, Patrick A1 - Eggert, Mathias T1 - An Efficient Business Process Compliance Checking Approach T2 - Governance and Sustainability in Information Systems. Managing the Transfer and Diffusion of IT : IFIP WG 8.6 International Working Conference, Hamburg, Germany, September 22-24, 2011. Proceedings Y1 - 2011 U6 - https://doi.org/10.1007/978-3-642-24148-2_19 SP - 282 EP - 287 PB - Springer CY - Berlin, Heidelberg ER - TY - CHAP A1 - Eggert, Mathias A1 - Schade, Maximilian A1 - Bröhl, Florian A1 - Moriz, Alexander ED - Mandviwalla, Munir ED - Söllner, Matthias ED - Tuunanen, Tuure T1 - Generating synthetic LiDAR point cloud data for object detection using the Unreal Game Engine T2 - Design Science Research for a Resilient Future (DESRIST 2024) N2 - Object detection based on artificial intelligence is ubiquitous in today’s computer vision research and application. The training of the neural networks for object detection requires large and high-quality datasets. Besides datasets based on image data, datasets derived from point clouds offer several advantages. However, training datasets are sparse and their generation requires a lot of effort, especially in industrial domains. A solution to this issue offers the generation of synthetic point cloud data. Based on the design science research method, the work at hand proposes an approach and its instantiation for generating synthetic point cloud data based on the Unreal Engine. The point cloud quality is evaluated by comparing the synthetic cloud to a real-world point cloud. Within a practical example the applicability of the Unreal Game engine for synthetic point cloud generation could be successfully demonstrated. Y1 - 2024 SN - 978-3-031-61174-2 (Print) SN - 978-3-031-61175-9 (Online) U6 - https://doi.org/10.1007/978-3-031-61175-9_20 N1 - 19th International Conference on Design Science Research in Information Systems and Technology, DESRIST 2024, Trollhättan, Sweden, June 3–5, 2024 SP - 295 EP - 309 PB - Springer CY - Cham ER - TY - BOOK A1 - Siedenbiedel, Georg T1 - Führung international operierender Unternehmen T3 - Schriftenreihe innovative betriebswirtschaftliche Forschung und Praxis ; Band 457 Y1 - 2016 SN - 978-3-8300-9164-6 PB - Kovac CY - Hamburg ER -