@article{21214, author = {{Jakob, Eva Alexandra and Steinmetz, Holger and Wehner, Marius and Engelhardt, Christina and Kabst, Rüdiger}}, journal = {{Journal of Business Ethics}}, pages = {{105--127}}, title = {{{Like It or not: When corporate social responsibility does not attract potential applicants}}}, volume = {{178}}, year = {{2022}}, } @article{50470, author = {{Schmidt, Eva}}, journal = {{Discourse & Communication }}, number = {{3}}, title = {{{The case of Mesut Özil: A symbol of (non-) integration? An analysis of German print media discourses on integration}}}, doi = {{10.1177/17504813221101823 }}, volume = {{16}}, year = {{2022}}, } @inbook{50241, author = {{Robaszkiewicz, Maria Anna}}, booktitle = {{Anfangen! Politik im Anthropozän. Beiträge der 24. Hannah Arendt Tage 2021}}, editor = {{Martinsen, Franziska}}, pages = {{ 27 – 43}}, publisher = {{Velbrück Wissenschaft}}, title = {{{Die Erde und die Welt. Wie wir Hannah Arendt in Anthropozän lesen können}}}, year = {{2022}}, } @misc{50253, author = {{Robaszkiewicz, Maria Anna}}, booktitle = {{Zeitschrift für Didaktik der Philosophie und Ethik}}, pages = {{117}}, title = {{{Georg Brunn/Claus Beisbard [Hg.], Mit Philosophie die Welt verändern, Basel: Schwabe Verlag 2020}}}, volume = {{3}}, year = {{2022}}, } @article{34473, abstract = {{Psychologists claim that being treated kindly puts individuals in a positive emotional state: they then treat an unrelated third party more kindly. Numerous experiments document that subjects indeed ‘pay forward’ specific behavior. For example, they are less generous after having experienced stinginess. This, however, is not necessarily driven by emotions. Subjects may also imitate what they regard as socially adequate behavior. Here, I present an experiment in which imitation is not possible at the next opportunity to act with a stranger: after being given either a fun or an annoying job, subjects have to decide whether to be generous or not. I find that although subjects who are given the annoying job report more negative emotions than those with the fun job, they do not treat an unrelated third person more unkindly in terms of passing on less money. }}, author = {{Schnedler, Wendelin}}, issn = {{0899-8256}}, journal = {{Games and Economic Behavior}}, keywords = {{Economics and Econometrics, Finance}}, pages = {{542--558}}, publisher = {{Elsevier BV}}, title = {{{The broken chain: Evidence against emotionally driven upstream indirect reciprocity}}}, doi = {{10.1016/j.geb.2022.10.008}}, volume = {{136}}, year = {{2022}}, } @inproceedings{42631, abstract = {{In recent years, many cases of deep neural networks failing dramatically when faced with adversarial or real-world examples have been reported. Such failures, which are quite hard to detect, are often related to a generalization problem known as shortcut learning. Yet, with state-of-the-art transformer models now being ubiquitous in financial text mining, one cannot help but wonder how reliable the results conveyed in the ever-growing literature genuinely are. Against this background, we expose, in this work, how vulnerable contemporary financial text mining approaches are to shortcut learning. Focussing on the common learning task of financial sentiment classification, we assess, using two entity-based sampling strategies and our publicly-available dataset, the discrepancies between i.i.d. and o.o.d. performance estimates of four transformer models. Our results reveal that o.o.d. performance estimates are consistently weaker than those of their i.i.d. counterparts, with the error rate increasing by as much as 29.7%, thus, demonstrating how this issue can, when overlooked, lead to misleading evaluations. Moreover, we show how additional preprocessing steps, such as entity removal and vocabulary filtering, can help reduce the effects of shortcut learning by filtering out entity-related linguistic cues.}}, author = {{Caron, Matthew}}, booktitle = {{2022 IEEE International Conference on Big Data (Big Data)}}, location = {{Osaka, Japan}}, publisher = {{IEEE}}, title = {{{Shortcut Learning in Financial Text Mining: Exposing the Overly Optimistic Performance Estimates of Text Classification Models under Distribution Shift}}}, doi = {{10.1109/bigdata55660.2022.10020933}}, year = {{2022}}, } @inproceedings{25113, abstract = {{Our world is more connected than ever before. Sadly, however, this highly connected world has made it easier to bully, insult, and propagate hate speech on the cyberspace. Even though researchers and companies alike have started investigating this real-world problem, the question remains as to why users are increasingly being exposed to hate and discrimination online. In fact, the noticeable and persistent increase in harmful language on social media platforms indicates that the situation is, actually, only getting worse. Hence, in this work, we show that contemporary ML methods can help tackle this challenge in an accurate and cost-effective manner. Our experiments demonstrate that a universal approach combining transfer learning methods and state-of-the-art Transformer architectures can trigger the efficient development of toxic language detection models. Consequently, with this universal approach, we provide platform providers with a simplistic approach capable of enabling the automated moderation of user-generated content, and as a result, hope to contribute to making the web a safer place.}}, author = {{Caron, Matthew and Bäumer, Frederik S. and Müller, Oliver}}, booktitle = {{55th Hawaii International Conference on System Sciences (HICSS)}}, location = {{Online}}, title = {{{Towards Automated Moderation: Enabling Toxic Language Detection with Transfer Learning and Attention-Based Models}}}, year = {{2022}}, } @article{45721, author = {{Steinhoff, Lena and Palmatier, R. W. and Martin, K. D. and Fox, G. and Henderson, C. M. and Saint Clair, J. K. and Yan, S. and Lee, J.-Y. and Perko, T. and Harmeling, C. M.}}, journal = {{Journal of Service Management Research}}, number = {{1}}, pages = {{2--27}}, title = {{{Commentaries on Relationship Marketing: The Present and Future of Customer Relationships in Services}}}, doi = {{ 10.5771/2511-8676-2022-1-2}}, volume = {{6}}, year = {{2022}}, } @inproceedings{45738, author = {{Becker, M. and Wiegand, N. and Steinhoff, Lena and Baidina, K.}}, booktitle = {{Proceedings of the 51st European Marketing Academy (EMAC) Conference, Budapest.}}, location = {{Budapest}}, title = {{{The Role of Self-Rewarding Behavior in Cashback Loyalty Programs}}}, year = {{2022}}, } @article{50538, author = {{Weber, Jutta}}, journal = {{Feministische Studien}}, number = {{2}}, pages = {{234--236}}, title = {{{Datenbanken}}}, doi = {{https://doi.org/10.1515/fs-2022-0036}}, volume = {{40}}, year = {{2022}}, } @techreport{35801, author = {{Safaei, Reyhaneh}}, title = {{{Transfer Pricing Rules for Intangibles: Implementation and Practical Challenges}}}, volume = {{79}}, year = {{2022}}, } @techreport{35802, author = {{Shabestari, Mehrzad Azmi and Safaei, Reyhaneh}}, title = {{{Changes in Transfer Pricing Regulations and Corporate Investment Decisions}}}, year = {{2022}}, } @inproceedings{30220, abstract = {{In this work, the influences of spherical fillers on the processing properties and the resulting mechanical properties of laser sintered components are investigated. For this purpose, micro glass spheres, hollow glass bubbles and mineral spheres are dry blended to the matrix polymers polyamide 613 and polypropylene with a filling ratio of 20 and 40 vol%. First, relevant properties of the blends, such as powder flowability, thermal behavior and melt viscosity, are investigated. Based on the results, processing parameters are then developed for the LS process and the mechanical properties of the components are investigated. The aim is to be able to tailor the mechanical properties of LS components by adding fillers and thus to create new application areas for additively manufactured components. }}, author = {{Kletetzka, Ivo and Gawlikowicz, Roland and Schmid, Hans-Joachim}}, booktitle = {{Proceedings of the 33th Annual International Solid Freeform Fabrication Symposium}}, location = {{Austin}}, publisher = {{Laboratory for Freeform Fabrication and University of Texas}}, title = {{{Effects of spherical fillers on the processability and mechanical properties of PA613 and PP-based LS dry blends}}}, doi = {{http://dx.doi.org/10.26153/tsw/44558}}, volume = {{33}}, year = {{2022}}, } @inproceedings{32874, author = {{Kletetzka, Ivo and Klippstein, Sven Helge and Schmid, Hans-Joachim}}, booktitle = {{Proceedings of the 33th Annual International Solid Freeform Fabrication Symposium}}, location = {{Austin}}, publisher = {{Laboratory for Freeform Fabrication and University of Texas}}, title = {{{Shelf Life of Polyamide 12 (PA2200) Laser Sintering Powder}}}, doi = {{http://dx.doi.org/10.26153/tsw/44555}}, volume = {{33}}, year = {{2022}}, } @misc{50569, author = {{Bröker, Christina}}, booktitle = {{HsozKult}}, title = {{{Rezension zu: Müsegades, Benjamin: Heilige in der mittelalterlichen Bischofsstadt. Speyer und Lincoln im Vergleich (11. bis frühes 16. Jahrhundert). Wien 2021}}}, year = {{2022}}, } @inbook{34658, author = {{Hoyer, Isabelle}}, booktitle = {{Religionsunterricht beobachten. Praktiken - Artefakte - Akteure}}, editor = {{Brieden, Norbert and Mendl, Hans and Reis, Oliver and Roose, Hanna}}, title = {{{Singen im Religionsunterricht}}}, year = {{2022}}, } @inbook{38527, author = {{Büker, Petra and Glawe, Katrin and Herding, Jana and Menke, Insa}}, booktitle = {{Reflexion und Reflexivität im Kontext Grundschule. Perspektiven für Forschung, Lehrer:innenbildung und Praxis}}, editor = {{Gläser, Eva and Poschmann, Julia and Büker, Petra and Miller, Susanne}}, pages = {{52--57}}, publisher = {{Verlag Julius Klinkhardt}}, title = {{{inklud-e: Sensibilität für Inklusion durch Fallarbeit entwickeln – Professionalisierung angehender Grundschullehrkräfte in digitalen Lehr-/Lernformaten}}}, volume = {{26}}, year = {{2022}}, } @article{40482, author = {{Büker, Petra and Kamin, Anna-Maria and Glawe, Katrin and Herding, Jana and Menke, Insa and Schaper, Franziska}}, journal = {{HLZ- Herausforderung Lehrer*innenbildung}}, number = {{1}}, pages = {{337--355}}, title = {{{Inklusions- und digitalisierungsbezogene Kompetenzanforderungen in der Lehrkräftebildung verzahnen: Theoretische und konzeptionelle Grundlagen der Lehr-/Lernumgebung inklud.nrw}}}, doi = {{10.11576/hlz-5960}}, volume = {{5}}, year = {{2022}}, } @inbook{37745, author = {{Büker, Petra and Glawe, Katrin and Herding, Jana}}, booktitle = {{Professionalisierung von Grundschullehrkräften}}, editor = {{Mammes, Ingelore and Rotter, Carolin}}, pages = {{276--292}}, publisher = {{Verlag Julius Klinkhardt}}, title = {{{Professionalisierung angehender Grundschullehrkräfte für Inklusion. Aktuelle Herausforde-rungen für die universitäre Lehrer*innenbildung}}}, year = {{2022}}, } @inproceedings{40506, abstract = {{September 2022 Ausgezeichnet mit dem Waxmann-Posterpreis}}, author = {{Büker, Petra and Kamin, Anna-Maria and Becker, Veronika and Glawe, Katrin and Herding, Jana and Schaper, Franziska and Stets, Mona}}, title = {{{inklud.nrw – fallbasiertes Lehren und Lernen mit OER zum vernetzen Aufbau von Inklusionssensibilität und digitalisierungsbezogenen Kompetenzen in der Lehrer:innenbildung. Posterbeitrag an der 30. Jahrestagung der DGfE-Kommission Grundschulforschung und Pädagogik der Primarstufe an der Universität Regensburg}}}, year = {{2022}}, }