TY - CHAP A1 - Kroll-Ludwigs, Kathrin ED - Calliess, Gralf-Peter T1 - Art. 5 Rom III-Regulation (choice of applicable law by the parties) T2 - Rome Regulations : commentary Y1 - 2015 SN - 9789041147547 PB - Wolters Kluwer ET - 2nd ed. ER - TY - CHAP A1 - Kroll-Ludwigs, Kathrin ED - Colliess, Gralf-Peter T1 - Art. 7 Rome III-Regulation (formal validity) T2 - Rome Regulations : commentary Y1 - 2015 SN - 9789041147547 PB - Wolters Kluwer ET - 2nd ed. ER - TY - JOUR A1 - Görgens, Stefan A1 - Greubel, Steffen A1 - Moosdorf, Andreas T1 - How to mobilize 20,000 people: Perspectives on retail and consumer goods Y1 - 2013 SP - 52 EP - 58 ER - TY - JOUR A1 - Moosdorf, Andreas T1 - It’s not just the Talent, it’s the Knowledge Transfer Method JF - GC Ticker Y1 - 2009 IS - 1 SP - 16 EP - 16 ER - TY - BOOK A1 - Moosdorf, Andreas T1 - The determinants of international knowledge transfer effectiveness - conceptual advances and empirical verification Y1 - 2008 N1 - The University of Leeds > Leeds University Business School. Thesis (PhD) ER - TY - CHAP A1 - Eggert, Mathias T1 - Big Data Research - How to Structure the Changes of the Past Decade? T2 - The Art of Structuring N2 - In the past decade, many IS researchers focused on researching the phenomenon of Big Data. At the same time, the relevance of data protection gets more attention than ever before. In particular, since the enactment of the European General Data Protection Regulation in May 2018 Information Systems research should provide answers for protecting personal data. The article at hand presents a structuring framework for Big Data research outcome and the consideration of data protection. IS Researchers might use the framework in order to structure Big Data literature and to identify research gaps that should be addressed in the future. Y1 - 2019 SN - 978-3-030-06234-7 U6 - http://dx.doi.org/10.1007/978-3-030-06234-7_26 SP - 271 EP - 281 PB - Springer CY - Cham ER - TY - CHAP A1 - Eggert, Mathias T1 - Understanding the acceptance of smart home-based insurances T2 - Proceedings of the 27th European Conference on Information Systems (ECIS), Stockholm & Uppsala, Sweden, June 8-14, 2019 Y1 - 2019 SN - 978-1-7336325-0-8 SP - 1 EP - 15 ER - TY - CHAP A1 - Ernhardt, Selina A1 - Drumm, Christian A1 - van Gog, Tamara A1 - Brand-Gruwel, Saskia A1 - Jarodzka, Halszka T1 - Through the eyes of a programmer : a research project on how to foster programming education with eye-tracking technology T2 - Tagungsband zur 32. AKWI-Jahrestagung vom 15.09.2019 bis 18.09.2019 an der Fachhochschule für Angewandte Wissenschaften Aachen Y1 - 2019 SN - 978-3-944330-62-4 SP - 42 EP - 47 PB - Mana-Buch CY - Heide ER - TY - CHAP A1 - Eggert, Mathias A1 - Stanke, Max-Alexander T1 - Adoption of Integrated Voice Assistants in Health Care– Requirements and Design Guidelines T2 - 15th International Conference on Wirtschaftsinformatik, March 08-11, 2020 Potsdam, Germany Y1 - 2020 U6 - http://dx.doi.org/10.30844/wi_2020_k2-eggert SP - 1 EP - 16 ER - TY - JOUR A1 - Emhardt, Selina A1 - Jarodzka, Halszka A1 - Brand-Gruwel, Saskia A1 - Drumm, Christian A1 - Gog, Tamara van T1 - Introducing eye movement modeling examples for programming education and the role of teacher's didactic guidance JF - ETRA '20 Short Papers: ACM Symposium on Eye Tracking Research and Applications N2 - In this article, we introduce how eye-tracking technology might become a promising tool to teach programming skills, such as debugging with ‘Eye Movement Modeling Examples’ (EMME). EMME are tutorial videos that visualize an expert's (e.g., a programming teacher's) eye movements during task performance to guide students’ attention, e.g., as a moving dot or circle. We first introduce the general idea behind the EMME method and present studies that showed first promising results regarding the benefits of EMME to support programming education. However, we argue that the instructional design of EMME varies notably across them, as evidence-based guidelines on how to create effective EMME are often lacking. As an example, we present our ongoing research on the effects of different ways to instruct the EMME model prior to video creation. Finally, we highlight open questions for future investigations that could help improving the design of EMME for (programming) education. Y1 - 2020 U6 - http://dx.doi.org/10.1145/3379156.3391978 IS - Art. 52 SP - 1 EP - 4 PB - ACM CY - New York ER -