TY - JOUR A1 - Lienland, Bernhard A1 - Kellner, Florian T1 - Projektauswahl mit der linearen Optimierung im Mittelstand JF - HMD Praxis der Wirtschaftsinformatik N2 - Die Projektauswahl stellt eine Herausforderung insbesondere für mittelständische Industrieunternehmen dar. Abhängigkeiten verschiedener Alternativen und vorgegebene Investitionsbudgets führen bei Anwendung von in der Praxis standardmäßig eingesetzten Verfahren regelmäßig zu suboptimalen Projektkombinationen. In enger Abstimmung mit einem Automobilzulieferer wurde ein Ansatz zur Projektauswahl unter Berücksichtigung von Ressourcen und laufenden Projekten entwickelt sowie technisch umgesetzt. Implementierte Praxistests belegen Verbesserungen bei der Projektauswahl, aber auch bei der Budgeteinhaltung, der Fixkostenreduzierung sowie der Angebotspreisbestimmung. Y1 - 2012 U6 - https://doi.org/10.1007/BF03340699 VL - 49 SP - 52 EP - 62 PB - Springer ER - TY - JOUR A1 - Kanitzyk, Justin A1 - Schilling, Robert A1 - Kellner, Florian A1 - Lienland, Bernhard T1 - Optimierung der Unternehmenssteuerung JF - CONTROLLER Magazin N2 - Die Unternehmenssteuerung wird in der Praxis nach wie vor von Finanzkennzahlen dominiert, obwohl diese nur einen spezifischen Ausschnitt der Vorgänge einer Organisation widerspiegeln. Für einen umfassenden Steuerungsansatz, der Zukunftsfähigkeit und Rationalität fördert, ist eine gezielte Beeinflussung von Performancetreibern notwendig. Diese Performancetreiber haben oftmals einen nicht-finanziellen Charakter. Eine verstärkte Einbindung nicht-finanzieller Kennzahlen in die Unternehmenssteuerung ist erforderlich. Y1 - 2025 SN - 1616-0495 VL - 2025 IS - 2 SP - 84 EP - 88 PB - Haufe ER - TY - JOUR A1 - Schifferl, Ludwig A1 - Stojanovic-Blab, Maja A1 - Kellner, Florian A1 - Lienland, Bernhard T1 - Performance Measurement in Beratungsunternehmen JF - CONTROLLER Magazin N2 - Der vorliegende Beitrag untersucht die Implementierung des Performance Measurements in der wissensintensiven Dienstleistungsbranche am Beispiel einer KMU-Unternehmensberatung. Dabei werden zentrale Herausforderungen sowie praxisorientierte Handlungsempfehlungen herausgearbeitet. Y1 - 2026 UR - https://www.haufe.de/controlling/zeitschrift/controller-magazin/controller-magazin-ausgabe-12026-controller-magazin_28_669660.html IS - 1 SP - 20 EP - 25 PB - Verlag für ControllingWissen AG ER - TY - CHAP A1 - Hauser, Florian A1 - Staufer, Susanne A1 - Röhrl, Simon A1 - Nadimpalli, Vamsi Krishna A1 - Ezer, Timur A1 - Grabinger, Lisa A1 - Mottok, Jürgen A1 - Falter, Thomas ED - Gómez Chova, Luis ED - González Martínez, Chelo ED - Lees, Joanna T1 - LEVERAGING FIVE QUESTIONNAIRES TO ANALYZE STUDENT LEARNING STRATEGIES AND GENERATE AI-POWERED INDIVIDUALIZED LEARNING PATHS T2 - ICERI2025 Proceedings N2 - Background: The COVID-19 pandemic has significantly accelerated the shift toward online and blended learning in higher education, placing renewed emphasis on the individualization of learning content to meet diverse student needs. Even high-quality learning materials may fail to engage learners if they do not align with students’ personal preferences and learning styles. Identifying these learner preferences, therefore, emerges as a critical challenge. Objectives: This paper presents ongoing work within a larger research project aimed at employing artificial intelligence to recommend optimal learning path for students in specific courses. Beyond mere optimization, the goal is to ensure the best possible fit between learning materials and individual learners. Sample & Methods: A total of 27 students from technical degree programs took part in this survey. All participation was voluntary, and data were handled in full compliance with GDPR regulations. Although our broader project integrates fine-grained learning analytics from Moodle, the present abstract focuses exclusively on the self-report questionnaire results. Participants completed five instruments: 1. Index of Learning Styles (ILS) 2. LIST-K (Learning and Study Strategies Inventory – Short version) 3. BFI-10 (Big Five Inventory – 10 items) 4. Custom Preferences Instrument, capturing preferences for specific learning elements (e.g. instructional videos, lecture notes, summaries) and basic demographic data 5. Motivational Value Systems Questionnaire (MVSQ), piloted last semester to assess value orientations and motivational drivers Results: Preliminary analyses of the questionnaire data reveal: - Learning Styles (ILS): The majority lean toward the visual learning type (M = 5.740, SD = 3.430). - Learning Strategies (LIST-K): High scores on metacognitive strategies (M = 3.000; SD = 0.520) and collaboration with peers (M = 3.190; SD = 0.540). - Preferred Learning Elements: Summaries, overviews, and self-checks are most favored. - Value Orientations (MVSQ): Students are primarily driven by the pursuit of personal achievement (M = 4.400; SD = 11.140). Conclusion & Significance: By integrating these five standardized questionnaires, we gain valuable insights into student learning preferences—insights that complement our Moodle analytics in the broader project. Observed trends suggest that learning materials should be concise and designed to facilitate peer interaction and knowledge deepening. These findings will guide the refinement of our AI-driven recommendation engine, enhancing its ability to deliver personalized learning paths that boost both engagement and effectiveness. KW - AI in higher education KW - learning management system KW - adaptive learning KW - personalized learning paths KW - online and blended learning Y1 - 2025 U6 - https://doi.org/10.21125/iceri.2025.0658 SP - 1775 EP - 1784 PB - IATED ER - TY - CHAP A1 - Rösl, Gerhard ED - Görgens, Egon ED - Ruckriegel, Karlheinz ED - Seitz, Franz T1 - Finanzielle Repression T2 - Europäische Geldpolitik : Theorie Empirie und Praxis. (UTB ; 8285). - (wisu-texte) Y1 - 2013 SN - 978-3-8252-8555-5 SP - 390 EP - 392 PB - UVK Lucius CY - Konstanz ET - 6 ER - TY - CHAP A1 - Braun, Carina N. A1 - Klopprogge, Axel ED - Goinger Kreis e.V., T1 - Fachkräfte aus dem Ausland – Notwendigkeit und Hindernisse T2 - Zukunft Personal Beschäftigung : Zwischen Praxis und Innovation Unternehmen und Gesellschaft (Zukunft Personal & Beschäftigung) Y1 - 2015 SN - 978-3-658-09196-5 U6 - https://doi.org/10.1007/978-3-658-09196-5_10 SP - 143 EP - 162 PB - Springer Gabler CY - Wiesbaden ER - TY - CHAP A1 - Braun, Carina N. A1 - Pundt, Leena ED - Goinger Kreis e.V., T1 - HR Standards für Diversity Management T2 - Zukunft Personal Beschäftigung : Zwischen Praxis und Innovation Unternehmen und Gesellschaft (Zukunft Personal & Beschäftigung) Y1 - 2015 SN - 978-3-658-09196-5 U6 - https://doi.org/10.1007/978-3-658-09196-5_7 SP - 111 EP - 116 PB - Springer Gabler CY - Wiesbaden ER - TY - JOUR A1 - Dörrenbächer, Judith A1 - Chow, Rosan A1 - Yoo, Daisy A1 - Eriksson, Eva T1 - An Archive of Tensions : a Growing Collection of Challenges in More-Than-Human Design JF - Interactions N2 - Imagine a long table covered with scattered materials – balls of wool, small wooden tiles, and pieces of clay. Around it, fifteen designers and researchers gather, quietly moving notes and connecting ideas with yarn. Each thread ties one tension to another: care to control, innovation to sustainability, agency to relation. The table becomes a web of contradictions – messy and unresolved. This was not a design sprint or a problem-solving session. It was a collective reflection: a one-day workshop at the DIS 2025 conference named Paradoxes, Tensions and Challenges in Decentering the Human organized by the authors of this article together with Marc Hassenzahl and Anton Poikolainen Rosén. Here, we explored the paradoxes and tensions that are inherent to More-than-Human Design (MtHD). Eleven participants and the organizers shared their work. When tensions surfaced in conversations, they were noted, discussed, clustered, and physically connected. Rather than trying to overcome these contradictions, we asked to name them – to hold them in our hands, literally, and to see what new connections might emerge. What began as a physical act of clustering became the seed for what we now call the Archive of Tensions: a growing collection of challenges in designing beyond the human. KW - Design, Human-Centered, Posthuman, Anthropocentrism KW - Interaction Design KW - More-Than-Human Y1 - 2026 U6 - https://doi.org/10.1145/3795510 VL - 33 IS - 2 SP - 62 EP - 65 PB - ACM ER - TY - INPR A1 - Falter, Thomas T1 - Werkstattbericht: Erfahrungen aus der Zusammenarbeit mit KI-Agenten für individualisiertes Lernen N2 - DDer Artikel reflektiert praxisbasiert und philosophisch die Zusammenarbeit von Menschen mit KI-Agenten – insbesondere im Kontext des Lernens von Skills auf Experten-Level im Hochschulbereich. Am Beispiel der Entwicklung des KI-unterstützten Multiagentensystem LASSI, das Lernen unterstützt, wird eine Lernreise in drei Phasen erzählt – vom produktiven Staunen über die Verschiebung von Autorenschaft bis hin zur Übernahme von Verantwortung. Die Perspektiven von Entwickler, Professor und Studierenden zeigen, wie sich Mensch-Agenten-Systeme durch Zusammenarbeit verändern. Ergänzend werden drei philosophische Dimensionen – Embodied Knowledge, Enhanced Technologies und Embedded Ethics – herangezogen, um Potenziale und Risiken dieser Systeme zu beleuchten: Was passiert, wenn Intelligenz entkörperlicht, menschliche Fähigkeiten an Technologien ausgelagert und Werte kodiert werden? Der Text plädiert dafür, Agenten nicht als neutrale Werkzeuge, sondern als Mitgestalter im Soziotechnischen System Bildung zu begreifen. In der Schlussbetrachtung wird die Hochschule als Denkwerkstatt skizziert, die durch KI ihre Rolle neu definieren muss: weg vom Prüfungsbetrieb hin zu einem Raum für Urteilskraft und Selbstreflexion. Lernen mit und von Agenten heißt: Lernen neu denken – gemeinsam gestalten. Y1 - 2026 U6 - https://doi.org/10.13140/RG.2.2.20204.63360 ER - TY - GEN A1 - Pöhlmann, Kendra T1 - Similarities and Differences of Research-based and Corporate Spin-offs: Theoretical Thoughts, Research Design and Expected Implications N2 - This presentation explores the similarities and differences between research-based spin-offs and corporate spin-offs, addressing a key gap in the entrepreneurship and innovation literature. While both types of ventures aim at commercializing knowledge and generating economic value, they emerge from distinct institutional contexts and may therefore rely on different success factors. Building on existing research on research-based spin-offs, the study develops a comparative conceptual framework that integrates perspectives from the resource-based view and industrial economics. It examines dimensions such as founder characteristics, motivation structures, knowledge bases, and relationships with parent organizations. The proposed research design aims to systematically contrast both spin-off types and assess the transferability of established success factors. The paper contributes to a more differentiated understanding of spin-off heterogeneity and derives implications for improving commercialization processes in both academic and corporate contexts. KW - Spin-offs; Knowledge Transfer; Commercialization Process Y1 - 2014 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:898-opus4-90198 ER - TY - GEN A1 - Pöhlmann, Kendra T1 - Research Based Spin-Offs: Understanding the specifics of Best Performers N2 - This presentation investigates the success factors of research-based spin-offs, with a particular focus on the differences between best and worst performers. Based on an empirical study of German spin-offs originating from public research institutions, key influencing factors such as team size, degree of innovation, market conditions, and the role of the parent organization are analyzed. The findings indicate that spin-off success is shaped by a combination of entrepreneurial, technological, and contextual factors, and varies depending on the applied performance measure (e.g., growth, financial performance, or technological output). The study provides nuanced insights into the mechanisms of successful knowledge and technology transfer and derives implications for both research institutions and founders. KW - Research-based spin-offs; technology transfer; success factors Y1 - 2012 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:898-opus4-90181 ER - TY - GEN A1 - Pöhlmann, Kendra T1 - Diversity: Important, Fair, and Sustainable – But Often Overlooked in AI Applications N2 - In the era of digital transformation, the intersection of sustainability and AI has emerged as a critical area of research. My poster delves into the intricate relationship between these two domains, highlighting their potential to shape a more equitable and sustainable future. One significant facet of this is diversity. But diversity, as a vital component of the social dimension of sustainability, is frequently sidelined in the discourse surrounding digitalization and AI, despite its potential to synergize with these technologies in forging a fairer and more sustainable world. Digital solutions frequently lack inclusivity and emancipation, exacerbating disparities in access and opportunity. AI tools, likewise, often perpetuate bias and inequality by being trained on homogeneous datasets, overlooking factors such as gender, ability, and ethnicity. To address this oversight, it is imperative to incorporate diversity and sustainability education into the training of future IT specialists and AI engineers. Developing ethical awareness and the ability to critically reflect on biases within AI systems is essential to avoid reproducing biases and stereotypical thinking. This is why it is imperative to emphasizes the urgency of recognizing diversity as a key enabler of fairness and sustainability within the digital transformation landscape. KW - Digital Transformation; Diversity; Sustainability Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:898-opus4-90156 ER - TY - GEN A1 - Pöhlmann, Kendra T1 - Bildung für Nachhaltige Entwicklung – Achtsamkeit als Future Skill N2 - Das Poster beleuchtet die Rolle von Achtsamkeit als zentrale Zukunftskompetenz im Kontext von Bildung für nachhaltige Entwicklung (BNE). Ausgangspunkt ist die Annahme, dass nachhaltige Transformation nicht allein durch Wissen über die Sustainable Development Goals (SDGs) gelingt, sondern maßgeblich innere Kompetenzen erfordert, wie sie in den Inner Development Goals (IDGs) beschrieben werden. Achtsamkeit wird dabei als grundlegender Baustein von Selbst- und Reflexionskompetenz verstanden und bildet die Voraussetzung für Fähigkeiten wie Perspektivenwechsel, Ambiguitätstoleranz und verantwortungsvolles Handeln. Das Poster integriert verschiedene Kompetenzrahmen (Future Skills, IDGs, Rounder Sense of Purpose) und zeigt deren konzeptionelle Schnittmengen auf. Es argumentiert, dass Achtsamkeit nicht nur individuelle Entwicklung unterstützt, sondern als Hebel für kollektive Transformationsprozesse wirkt. Für die Hochschullehre ergibt sich daraus die Implikation, Achtsamkeit systematisch in fachliche Kontexte zu integrieren, um Studierende zur aktiven Mitgestaltung nachhaltiger Entwicklung zu befähigen. KW - Bildung für nachhaltige Entwicklung; Transformationskompetenz; innere Entwicklung Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:898-opus4-90168 ER - TY - GEN A1 - Pöhlmann, Kendra T1 - Diversity: Important, fair, and sustainable – but often overlooked in AI applications N2 - In the era of digital transformation, the intersection of sustainability and AI has emerged as a critical area of research. My research delves into the intricate relationship between these two domains, highlighting their potential to shape a more equitable and sustainable future. One significant facet of this is diversity. But diversity, as a vital component of the social dimension of sustainability, is frequently sidelined in the discourse surrounding digitalization and AI, despite its potential to synergize with these technologies in forging a fairer and more sustainable world. Digital solutions frequently lack inclusivity and emancipation, exacerbating disparities in access and opportunity. AI tools, likewise, often perpetuate bias and inequality by being trained on homogeneous datasets, overlooking factors such as gender, ability, and ethnicity. To address this oversight, it is imperative to incorporate diversity and sustainability education into the training of future IT specialists and AI engineers. Developing ethical awareness and the ability to critically reflect on biases within AI systems is essential to avoid reproducing biases and stereotypical thinking. This is why my research emphasizes the urgency of recognizing diversity as a key enabler of fairness and sustainability within the digital transformation landscape. KW - Diversity; Digital Transformation; Sustainability Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:898-opus4-90170 ER -