@misc{48444, author = {{Schneider, Jennifer Nicole}}, title = {{{SAFE -Streaming approaches for Europe - Enhancing the digital competences by streaming approaches for schools to tackle the challenges of COVID-19}}}, year = {{2023}}, } @article{46043, author = {{Unterstell, Rembert}}, journal = {{forschung - Das Magazin der Deutschen Forschungsgemeinschaft}}, number = {{1}}, pages = {{6--9}}, publisher = {{DFG}}, title = {{{Der Wirtschaft auch in der Krise das Atmen erlauben, Pandemie und Ökonomie – Interview mit Steuerexpertin Caren Sureth-Sloane}}}, year = {{2023}}, } @article{51770, abstract = {{AbstractWorkarounds are goal‐driven deviations from the standard operating procedures performed to overcome obstacles constraining day‐to‐day work. Despite starting as temporary fixes, they can become established across an organisation and trigger the innovation of processes and IT artefacts that can resolve misfits permanently. Although prior research has elicited antecedents and types of workarounds, it is not known how workarounds diffuse in an organisation and, thereby, innovating co‐workers' activities, IT artefacts, and organisational structures. The results of our multiple two‐year case study provide unique empirical insights into the diffusion of workarounds and how they can act as generative mechanisms for bottom‐up process innovation.}}, author = {{Bartelheimer, Christian and Wolf, Verena and Beverungen, Daniel}}, issn = {{1350-1917}}, journal = {{Information Systems Journal}}, keywords = {{Computer Networks and Communications, Information Systems, Software}}, number = {{5}}, pages = {{1085--1150}}, publisher = {{Wiley}}, title = {{{Workarounds as generative mechanisms for bottom‐up process innovation—Insights from a multiple case study}}}, doi = {{10.1111/isj.12435}}, volume = {{33}}, year = {{2023}}, } @article{46492, author = {{Seutter, Janina and Kutzner, K. and Stadtländer, M. and Kundisch, Dennis and Knackstedt, R.}}, journal = {{Electronic Markets}}, number = {{1}}, pages = {{47}}, title = {{{“Sorry, Too Much Information”. Designing Online Review Systems that Support Information Search and Processing}}}, volume = {{33}}, year = {{2023}}, } @article{46040, author = {{Seutter, Janina and Müller, Michelle and Kundisch, Dennis}}, journal = {{Wirtschaftsinformatik & Management}}, number = {{4}}, pages = {{282--289}}, title = {{{Verdrängen Smart-Product-Service-Systeme die Interaktion in Online-Communities? – Empirische Evidenz aus einer Rezept-Community}}}, volume = {{15}}, year = {{2023}}, } @inproceedings{51162, abstract = {{The selection of useful, informative, and meaningful features is a key prerequisite for the successful application of machine learning in practice, especially in knowledge-intense domains like decision support. Here, the task of feature selection, or ranking features by importance, can, in principle, be solved automatically in a data-driven way but also supported by expert knowledge. Besides, one may of course, conceive a combined approach, in which a learning algorithm closely interacts with a human expert. In any case, finding an optimal approach requires a basic understanding of human capabilities in judging the importance of features compared to those of a learning algorithm. Hereto, we conducted a case study in the medical domain, comparing feature rankings based on human judgment to rankings automatically derived from data. The quality of a ranking is determined by the performance of a decision list processing features in the order specified by the ranking, more specifically by so-called probabilistic scoring systems.}}, author = {{Hanselle, Jonas and Kornowicz, Jaroslaw and Heid, Stefan and Thommes, Kirsten and Hüllermeier, Eyke}}, booktitle = {{Lernen, Wissen, Daten, Analysen (LWDA) Conference Proceedings}}, location = {{Marburg, Germany}}, title = {{{Comparing Humans and Algorithms in Feature Ranking: A Case-Study in the Medical Domain}}}, year = {{2023}}, } @misc{47901, author = {{Beutner, Marc and Schneider, Jennifer Nicole}}, booktitle = {{International Conference on Industry Sciences and Computer Science Innovation}}, title = {{{The use of IT and OER to support remote sustainable work in Europeans Green Economy}}}, year = {{2023}}, } @phdthesis{48010, author = {{Schneider, Jennifer Nicole}}, title = {{{Open Educational Resources in der beruflichen Bildungslandschaft}}}, year = {{2023}}, } @misc{51019, author = {{Unterstell, Rembert}}, pages = {{6--9}}, publisher = {{DFG}}, title = {{{Der Wirtschaft auch in der Krise das Atmen erlauben, Pandemie und Ökonomie – Interview mit Steuerexpertin Caren Sureth-Sloane}}}, year = {{2023}}, } @misc{51024, author = {{Unterstell, Rembert}}, pages = {{8--11}}, publisher = {{DFG}}, title = {{{Allowing the Economy to Breathe Even During the Crisis – Interview with Tax Expert Caren Sureth-Sloane}}}, year = {{2023}}, }