@inbook{59742, author = {{Scharlau, Ingrid and Jenert, Tobias}}, booktitle = {{Psychologiedidaktik an allgemeinbildenden und beruflichen Schulen: Ein Lehrbuch mit Unterrichtsmaterialien}}, editor = {{Scharlau, Ingrid and Bender, Elena and Patrzek, Justine and Schreiber, Christine}}, isbn = {{978-3-662-69480-0}}, pages = {{1--17}}, publisher = {{Springer Nature}}, title = {{{Didaktische Überlegungen in der Psychologie}}}, year = {{2025}}, } @inbook{61443, abstract = {{

This handbook systematises the current state of knowledge on subjects of higher education research. It examines research, teaching and studies, the transfer of knowledge related to research and teaching as well as universities as organisations and their functions in the education and training systems. By looking at the topics over time, this standard work also provides information on university developments and their current state. The following question is answered in 60 articles: What do we currently know about the topic under discussion, what is the current state of research and what has remained unanswered so far? This book is aimed at higher education, academic and educational research as well as practitioners in higher education development and higher education policy.With contributions byNicole Auferkorte-Michaelis | Julia Backhaus | Ulf Banscherus | Annette Barkhaus | Lukas Baschung | Lorenz Blume | Stefan Böschen | Carla Bohndick | Gesche Brandt | Kolja Briedis | Rainer Bromme | Till Bruckermann | Juri Dachtera | Jennifer Dusdal | Melinda Erdmann | Gregor Fabian | Marian Füssel | Max-Emanuel Geis | Nicolai Götze | Gabriele Gramelsberger | Insa Großkraumbach | Julian Hamann | Christophe Heger | Thomas Heinze | Justus Henke | Sandra Hofhues | Arlette Jappe | Tobias Jenert | Stefan John | Wolfgang Jütte | Marco Kalz | Michael Kerres | Bernd Kleimann | Robert Kordts | Anna Kosmützky | Georg Krücken | Ines Langemeyer | Michelle Latta | Inge Leurs | Avelina Lovis-Schmidt | Sylvi Mauermeister | Marianne Merkt | Björn Möller | Richard Münch | Martin Neugebauer | Axel Oberschelp | Peer Pasternack | Attila Pausits | Axel Philipps | Manuel Pietzonka | Philipp Pohlenz | Justin J. W. Powell | Carole Probst | Martin Reinhart | Gabi Reinmann | Rüdiger Rhein | Heiner Rindermann | Heinke Röbken | Ronny Röwert | Gudrun Rohde | Niclas Schaper | Mandy Schiefner-Rohs | Christian Schneijderberg | Elmar Schüll | Marcel Schütz | Dagmar Simon | Isabel Steinhardt | Jana Stibbe | Friedrich Stratmann | Niels Taubert | Ulrich Teichler | Ewald Terhart | Peter Tremp | Martin Unger | Susanne de Vogel | Klaus Wannemacher | Christian Wassmer | Inka Wertz | Oliver Wieczorek | Johanna Witte | Andrä Wolter | Grit Würmseer

}}, author = {{Jenert, Tobias}}, booktitle = {{Hochschulforschung}}, editor = {{Pasternack, Peer and Reinmann, Gabi and Schneijderberg, Christian}}, isbn = {{9783748943334}}, pages = {{317--326}}, publisher = {{Nomos Verlagsgesellschaft mbH & Co. KG}}, title = {{{Studiengangentwicklung}}}, doi = {{10.5771/9783748943334}}, year = {{2025}}, } @inbook{58874, author = {{Fahrbach, Manuel and Jenert, Tobias and Fust, Alexander and Bellwald, Noah and Winkler, Christoph}}, booktitle = {{Annals of Entrepreneurship Education and Pedagogy - 2025}}, isbn = {{9781035325795}}, keywords = {{Self-Regulated Learning, Entrepreneurship Education, Entrepreneurship Research}}, pages = {{249–265}}, publisher = {{Edward Elgar Publishing}}, title = {{{Fostering self-regulated entrepreneurial learning in entrepreneurship education}}}, doi = {{10.4337/9781035325795.00021}}, year = {{2025}}, } @inbook{58875, author = {{Winkler, Christoph and Jenert, Tobias and Fust, Alexander}}, booktitle = {{Annals of Entrepreneurship Education and Pedagogy - 2025}}, isbn = {{9781035325795}}, keywords = {{Methodology, Entrepreneurship Education, Entrepreneurship Research}}, pages = {{93–105 }}, publisher = {{Edward Elgar Publishing}}, title = {{{Transferability as a key to impactful entrepreneurship education outcomes: a new quest}}}, doi = {{10.4337/9781035325795.00013}}, year = {{2025}}, } @book{60522, author = {{Euler, Dieter and Sloane, Peter F. E. and Jenert, Tobias and Daniel-Söltenfuß, Desiree and Hagemeier, Daniel and Ludolph, Fabian and Fuhrmann, Joelle}}, publisher = {{Eusl; wbv}}, title = {{{Innovation und Transfer in der kommunalen Bildungsarbeit. Erfahrungen aus zehn Jahren wissenschaftlicher Begleitung der Transferinitiative Kommunales Bildungsmanagement}}}, doi = {{10.3278/9783763978656}}, year = {{2025}}, } @inproceedings{61105, author = {{Jenert, Tobias and Büker, Ronja}}, booktitle = {{21th Biennial EARLI Conference}}, location = {{Graz}}, title = {{{The Multifaceted Nature of Self-Regulation in Entrepreneurship: A Latent Class Analysis}}}, year = {{2025}}, } @article{60111, author = {{Jenert, Tobias}}, journal = {{bwp@profil}}, pages = {{1--16}}, title = {{{Innovieren, Transferieren, Gestalten: Eine Wissenschaft, die sich verständigt}}}, volume = {{11}}, year = {{2025}}, } @inproceedings{62650, author = {{Jenert, Tobias}}, location = {{Graz}}, title = {{{Sustainable educational innovation in Higher Education: Upscaling, transfer, and student involvement}}}, year = {{2025}}, } @techreport{63024, author = {{Vorbohle, Christian and Althaus, Maike and Kundisch, Dennis}}, title = {{{Identifizierung und Entwicklung von tragfähigen Geschäftsmodellen für Kulturplattformen im Datenraum Kultur}}}, year = {{2025}}, } @techreport{63025, author = {{Vorbohle, Christian and Althaus, Maike and Kundisch, Dennis}}, title = {{{Sponsoring als Geschäftsmodell für Kulturplattformen im Datenraum Kultur: Vorstellung und Validierung}}}, year = {{2025}}, } @techreport{63022, author = {{Althaus, Maike and Vorbohle, Christian and Kundisch, Dennis}}, title = {{{Kulturplattformen im Datenraum Kultur: Eine Analyse bestehender Geschäftsmodelle von Kulturplattformen}}}, year = {{2025}}, } @book{62212, author = {{Sloane, Hannah Sabrina}}, publisher = {{Beltz Juventa}}, title = {{{Studienbeginn als Krise - Identitätskonstruktionen von Studienanfänger*innen}}}, year = {{2025}}, } @inproceedings{63199, author = {{Hövel, Gilbert Georg and Brinkmeier, Tim and Trang, Simon Thanh-Nam}}, booktitle = {{Proceedings of the International Conference on Information Systems 2025}}, title = {{{Trust Me If You Can! Examining the Role of Ransomware Darknet Platforms in Building Trust Between Hackers and Victims}}}, year = {{2025}}, } @inproceedings{63524, abstract = {{Recommendation systems are essential for delivering personalized content across e-commerce and streaming services. However, traditional methods often fail in cold-start scenarios where new items lack prior interactions. Recent advances in large language models (LLMs) offer a promising alternative. In this paper, we adopt the retrieve-and-recommend framework and propose to fine-tune the LLM jointly on warm-and cold-start next-item recommendation tasks, thus, mitigating the need for separate models for both item types. We computationally compare zero-shot prompting, in-context learning, and fine-tuning using the same LLM backbone, and benchmark them against strong PLM-based baselines. Our findings provide practical insights into the trade-offs between accuracy and computational cost of these methods for next-item recommendation. To enhance reproducibility, we release the source code under https://github. com/HayaHalimeh/LLMs-For-Next-Item-Recommendation.git.}}, author = {{Halimeh, Haya and Freese, Florian and Müller, Oliver}}, booktitle = {{International Conference on Information Systems Development}}, issn = {{2938-5202}}, publisher = {{University of Gdansk, Department of Business Informatics & University of Belgrade, Faculty of Organizational Sciences}}, title = {{{LLMs For Warm and Cold Next-Item Recommendation: A Comparative Study across Zero-Shot Prompting, In-Context Learning and Fine-Tuning}}}, doi = {{10.62036/isd.2025.68}}, year = {{2025}}, } @inproceedings{63523, abstract = {{Data spaces have become a strategic pillar of Europe's digital agenda, enabling sovereign, legally compliant data sharing within decentralized ecosystems. As data space initiatives evolve, personalized recommendations are increasingly recognized as key use cases. However, traditional recommendation approaches typically rely on centralized aggregation of user behavior data-directly conflicting with the core ethos of data spaces: sovereignty, privacy, and trust. Federated recommendation systems offer a promising alternative by training models locally and exchanging only intermediate parameters to build a global model. Despite this potential, the integration of federated recommendation techniques and data space architectures remains largely underexplored in research and practice. This paper addresses this gap by designing and evaluating a prototype of a federated recommendation system specifically tailored for data spaces and compliant with their underlying infrastructure. Our findings highlight the viability of developing privacy-preserving, collaborative recommendation systems within data spaces, and contribute to the broader adoption of AI across these emerging ecosystems.}}, author = {{Halimeh, Haya and zur Heiden, Philipp}}, booktitle = {{2025 27th International Conference on Business Informatics (CBI)}}, publisher = {{IEEE}}, title = {{{Preserving Sovereignty and Privacy for Personalization: Designing a Federated Recommendation System for Data Spaces}}}, doi = {{10.1109/cbi68102.2025.00019}}, year = {{2025}}, } @inproceedings{63525, abstract = {{Recommender systems (RS) can support sustainable development by steering users toward more sustainable choices. Sustainability-aware explanations represent one avenue for contributing to this goal by foregrounding the environmental and social aspects of the recommended products or services. This paper advances the line of research on sustainability-aware explanations by integrating nudging mechanisms into their design and by evaluating their effectiveness through a randomized between-subjects online vignette experiment across two item domains (). Our findings offer actionable design guidelines for building RS that foster sustainability-aware decision making and enrich the empirical foundation for impact-oriented research on explanation in RS. }}, author = {{Halimeh, Haya and Müller, Oliver}}, location = {{Prague, Czech Republic}}, title = {{{Towards Greener Choices: Decision Information Nudging for Sustainability-Aware Recommender Explanations}}}, doi = {{10.1007/978-3-032-13342-7}}, year = {{2025}}, } @techreport{63026, author = {{Althaus, Maike and Beverungen, Daniel and Flath, Beate and Halimeh, Haya and Hansmeier, Philipp and zur Heiden, Philipp and Kundisch, Dennis and Müller, Michelle and Müller, Oliver and Oberthür, Simon and Vorbohle, Christian and Momen Pour Tafreshi, Maryam and Mauß, Sebastian and Mücke, Alina and Müller, Jörg and Peter, Malte and Schmitt-Chandon, Ariane and Sellerberg, Kerstin and Steinhäuser, Moritz}}, title = {{{Positionspapier Use Case 1: Vernetzte Kulturplattformen}}}, year = {{2025}}, } @techreport{46047, abstract = {{This study examines the impact of tax certainty through advance tax rulings (ATRs) on firms' risky investments under cash flow and tax uncertainty. Both firms and governments have expressed growing concern about increasing tax uncertainty, due to frequent tax reforms and the difficulty in applying ambiguous tax laws and anticipating audit outcomes. One remedy is the provision of ATRs, which offer upfront clarification of tax issues to reduce tax uncertainty and increase risk-taking. We analyze how these uncertainties, along with different tax rates, loss offset provisions, and ATR fees affect investment strategies. Our results suggest, first, that ATRs encourage riskier investments, particularly in tax regimes with generous loss offsets. We identify optimal ranges of ATR fees that benefit firms and tax authorities. Second, we show that it may be beneficial to design ATRs with a low or negative fee. Third, our study reveals a U-shaped relationship between firms' risk aversion and their willingness to pay for tax certainty, with willingness being higher for firms at low or high levels of risk aversion. In contrast, moderately risk-averse firms are only willing to accept low fees. Overall, our results highlight the importance of low-cost tax certainty combined with generous loss offset provisions to encourage risky investments.}}, author = {{Chen, An and Hieber, Peter and Sureth-Sloane, Caren}}, title = {{{How Much to Pay for Tax Certainty? The Role of Advance Tax Rulings for Risky Investment under Loss Offset and Tax Uncertainty}}}, doi = {{10.1007/s10797-025-09930-8}}, year = {{2025}}, } @article{58939, author = {{Kornowicz, Jaroslaw and Thommes, Kirsten}}, journal = {{Plos One}}, title = {{{Algorithm, expert, or both? Evaluating the role of feature selection methods on user preferences and reliance}}}, doi = {{10.1371/journal.pone.0318874}}, year = {{2025}}, } @article{59075, author = {{Liszt-Rohlf, Verena and Büker, Ronja and Kamsker, Susanne}}, journal = {{Entrepreneurship Education and Pedagogy}}, title = {{{Entrepreneurship Education at All Levels of Education: A Systematic Research Question-Guided Literature Review on Target Group-Appropriate Entrepreneurship Education}}}, doi = {{https://doi.org/10.1177/25151274251323609}}, year = {{2025}}, }