TY - JOUR A1 - Hoepner, Gert T1 - Info-Web-Generation JF - Dm-compact : academic news for marketeers / Deutscher Direktmarketing Verband e. V.. 2 (2004), H. 3-4 Y1 - 2004 SN - 1573-3181 N1 - engl. Text unter gleichem Titel im gleichen Heft: Seite 12-17 SP - 14 EP - 20 ER - TY - JOUR A1 - Janz, Norbert T1 - Innovations in Germany: Market Novelties Gain Greater Importance JF - ZEW news. English edition (2001) Y1 - 2001 SP - 3 EP - 3 ER - TY - JOUR A1 - Janz, Norbert T1 - Innovative Power of German Manufacturing Industry Slows Down JF - ZEW news. English edition. 4 (2002), H. 2002 Y1 - 2002 SP - 5 EP - 5 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 - https://doi.org/10.1145/3379156.3391978 IS - Art. 52 SP - 1 EP - 4 PB - ACM CY - New York ER - TY - JOUR A1 - Jacobs, Stephan T1 - Introducing Measurable Requirements: A Case Study JF - Proceedings : June 7 - 11, 1999, University of Limerick, Limerick, Ireland / sponsored by IEEE Computer Society Technical Council on Software Engineering. In cooperation with ACM SIGSOFT Y1 - 1999 SN - 0769501885 N1 - International Symposium on Requirements Engineering ; (4, 1999, Limerick) ER - TY - JOUR A1 - Pietsch, Wolfram T1 - IT Service Deployment JF - QFD : transactions from International Symposium on QFD 2007 - Williamsburg, the Nineteenth Symposium on Quality Function Deployment ; September 7 - 8, 2007, Williamsburg, VA ; [companion document to the Thirteenth International and Nineteenth North American Symposium on Quality Function Deployment (ISQFD'07)] / [organized and hosted by the QFD Institute] Y1 - 2007 SN - 1-889477-19-2 N1 - QFD 2007, 19th Symposium on Quality Function Deployment, Williamsburg, VA, US, Sep 7-8, 2007 SP - 203 EP - 212 PB - QFD Inst. CY - Ann Arbor, Mich. 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 - JOUR A1 - Kempt, Hendrik A1 - Freyer, Nils A1 - Nagel, Saskia K. T1 - Justice and the normative standards of explainability in healthcare JF - Philosophy & Technology N2 - Providing healthcare services frequently involves cognitively demanding tasks, including diagnoses and analyses as well as complex decisions about treatments and therapy. From a global perspective, ethically significant inequalities exist between regions where the expert knowledge required for these tasks is scarce or abundant. One possible strategy to diminish such inequalities and increase healthcare opportunities in expert-scarce settings is to provide healthcare solutions involving digital technologies that do not necessarily require the presence of a human expert, e.g., in the form of artificial intelligent decision-support systems (AI-DSS). Such algorithmic decision-making, however, is mostly developed in resource- and expert-abundant settings to support healthcare experts in their work. As a practical consequence, the normative standards and requirements for such algorithmic decision-making in healthcare require the technology to be at least as explainable as the decisions made by the experts themselves. The goal of providing healthcare in settings where resources and expertise are scarce might come with a normative pull to lower the normative standards of using digital technologies in order to provide at least some healthcare in the first place. We scrutinize this tendency to lower standards in particular settings from a normative perspective, distinguish between different types of absolute and relative, local and global standards of explainability, and conclude by defending an ambitious and practicable standard of local relative explainability. KW - Clinical decision support systems KW - Justice KW - Medical AI KW - Explainability KW - Normative standards Y1 - 2022 U6 - https://doi.org/10.1007/s13347-022-00598-0 VL - 35 IS - Article number: 100 SP - 1 EP - 19 PB - Springer Nature CY - Berlin ER - TY - JOUR A1 - Pietschmann, Bernd P. A1 - Ruhtz, Vanessa T1 - Knowledge Management JF - Personal : Zeitschrift für Human Resource Management. 53 (2001), H. 5 Y1 - 2001 SN - 0031-5605 SP - 242 EP - 249 ER - TY - JOUR A1 - Goedhuys, Micheline A1 - Janz, Norbert A1 - Mohnen, Pierre T1 - Knowledge-based productivity in “low-tech” industries: evidence from firms in developing countries JF - Industrial and corporate change N2 - Using firm-level data from five developing countries—Brazil, Ecuador, South Africa, Tanzania, and Bangladesh—and three industries—food processing, textiles, and the garments and leather products—this article examines the importance of various sources of knowledge for explaining productivity and formally tests whether sector- or country-specific characteristics dominate these relationships. Knowledge sources driving productivity appear mainly sector specific. Also differences in the level of development affect the effectiveness of knowledge sources. In the food processing sector, firms with higher educated managers are more productive, and in least-developed countries, additionally those with technology licenses and imported machinery and equipment. In the capital-intensive textiles sector, productivity is higher in firms that conduct R&D. In the garments and leather products sector, higher education of the managers, licensing, and R&D raise productivity. Y1 - 2014 U6 - https://doi.org/10.1093/icc/dtt006 SN - 1464-3650 (E-Journal); 0960-6491 (Print) VL - 23 IS - 1 SP - 1 EP - 23 PB - Oxford University Press CY - Oxford ER -