Liechtenstein Business School
Forschung
Unsere Forschung konzentriert sich inhaltlich auf Schlüsselbereiche von regionaler Bedeutung, die sich in den Professuren abbilden. Die Qualität der Forschung wird dadurch sichergestellt, dass Forschungsergebnisse regelmässig auf internationalen Konferenzen präsentiert und in renommierten Fachzeitschriften publiziert werden.
Highlight
Digitale Nähe: Wie authentische Beziehungen in sozialen Netzwerken entstehen
Eine im A*-Journal Journal of the Association for Information Systems veröffentlichte Studie mit Assoz. Prof. Dr. Johannes Schneider (Universität Liechtenstein) analysiert über 440.000 Social-Media-Nachrichten. Sie zeigt: Persönlichkeit, Neugier, Respekt und Teilen fördern hochwertige Beziehungen. Soziale Netzwerke leben nicht von ihrer Struktur, sondern von der Qualität der Interaktionen, mit wichtigen Impulsen für menschlicher gestaltete digitale Plattformen.
Weitere Informationen unter Capturing the “Social” in Social Networks
Highlight
Künstliche Intelligenz zur Früherkennung von Bankenkrisen: Forschungsteam der Universität Liechtenstein präsentiert interessante Ergebnisse
Beim Finance Forum Liechtenstein präsentierten Prof. Dr. Michael Hanke und die Doktoranden Merlin Bartel und Sebastian Petric Forschung zur KI-gestützten Vorhersage von Bankenkrisen. Anhand der US-Regionalbankenkrise 2023 zeigten sie, wie maschinelles Lernen Frühwarnsignale erkennt und Investoren Handlungsempfehlungen bietet. Die Studie verdeutlicht das Potenzial datenbasierter Modelle zur Risikoreduktion und stärkt die Rolle der Universität Liechtenstein in der Finanzforschung. Nähere Informationen unter Künstliche Intelligenz zur Früherkennung von Bankkrisen
Forschungsseminare
Die Zielsetzung der vom Department für Finance und Economics veranstalteten Forschungsseminare besteht darin, aktuelle Forschungsideen und Forschungsprojekte zu präsentieren und vor einem Fachpublikum zu verteidigen, um ein Feedback zu erhalten. Diese Seminare tragen zur Weiterqualifizierung des wissenschaftlichen Personals bei.
Weitere Informationen zum Finance Research Seminar und zum Wirtschaftspolitischen Seminar Alpenrhein finden Sie unter:
Research Projects
Jenseits von Korrelationen: Nutzung von generativer KI für kausales maschinelles Lernen
November 2024
until
Oktober 2026
FFF-Förderprojekt
Project Description
Dieses Projekt zielt darauf ab, die erheblichen Einschränkungen von Deep-Learning-Modellen (DL) in Bezug auf die kausale Erklärbarkeit und Robustheit in Kontexten außerhalb der Verteilung zu beheben, indem die Integration von generativer KI (GenAI) in kausales maschinelles Lernen (CML) untersucht wird. Das Projekt konzentriert sich auf die Nutzung von GenAI, um kausal relevante Variablen auf hoher Ebene zu identifizieren und Kausalhypothesen zu formulieren, um Herausforderungen zu bewältigen, die derzeit Expertenintervention oder kostspielige experimentelle Verfahren erfordern. Durch eine Reihe von gezielten Arbeitspaketen wird das Projekt eine skalierbare CML-Pipeline unter Einbeziehung von GenAI entwickeln und evaluieren, mit Anwendungen in verschiedenen Bereichen wie Gesundheitswesen, Politik und Finanzen. Zu den erwarteten Ergebnissen gehören Fortschritte in der Methodik der kausalen Inferenz und Beiträge sowohl zur wissenschaftlichen Literatur als auch zu praktischen Anwendungen.
Relevance to Liechtenstein
Dieses Projekt steht im Einklang mit der Forschungsstrategie der Universität Liechtenstein, indem es sich mit kritischen und zunehmend relevanten Herausforderungen in den Bereichen Datenwissenschaft und künstliche Intelligenz befasst, insbesondere mit der kausalen Erklärbarkeit und der Robustheit von Modellen. Durch die Nutzung der aufkommenden Möglichkeiten der generativen KI will das Projekt einen Beitrag zu diesen Bereichen leisten und gleichzeitig reale Probleme in wichtigen Bereichen wie dem Gesundheitswesen, der Politik und dem Finanzwesen angehen. Insbesondere für Liechtenstein ist diese Forschung von grosser Bedeutung, da sie das Land bei der Förderung von Innovationen in KI-getriebenen Branchen unterstützt. Darüber hinaus wird das Projekt durch Workshops, die Förderung des akademischen Austauschs und die Stärkung regionaler Industriekooperationen aktiv mit der lokalen Gemeinschaft zusammenarbeiten. Dieser Ansatz treibt nicht nur die Spitzenforschung voran, sondern stellt auch sicher, dass die Ergebnisse sowohl der akademischen Gemeinschaft als auch der lokalen Wirtschaft greifbare Vorteile bringen, was dem Auftrag der Universität entspricht, Forschung voranzutreiben, die praktische, lokale Auswirkungen hat.
Scientific, Economic and Societal Impact
Dieses Projekt befasst sich mit den wichtigsten Einschränkungen aktueller Deep-Learning-Architekturen, insbesondere mit dem Erreichen kausaler Erklärbarkeit und der Aufrechterhaltung der Robustheit in Szenarien außerhalb der Verteilung, d. h. in Kontexten, in denen die Datenverteilung von derjenigen abweicht, für die ein Modell ursprünglich trainiert wurde. Durch die Integration von generativer KI (GenAI) in eine skalierbare Pipeline für kausales maschinelles Lernen (CML) zielt diese Forschung darauf ab, die Identifizierung kausal relevanter Variablen und die Formulierung kausaler Hypothesen zu automatisieren, die derzeit auf kostspieligen Experimenten oder dem Eingreifen von Experten beruhen, während die Vorhersagegenauigkeit der aktuellen Deep-Learning-Architekturen erhalten bleibt.
Dieser Ansatz hat das Potenzial, nicht nur die Interpretierbarkeit von KI-Modellen zu verbessern, sondern auch ihre Anpassungsfähigkeit in verschiedenen Anwendungsbereichen. Das Projekt ist vor allem in wichtigen Bereichen wie dem Gesundheitswesen, der Politik und dem Finanzwesen von Bedeutung, wo zuverlässige, kausal informierte KI eine fundierte Entscheidungsfindung unterstützen, Interventionen optimieren und das Vertrauen in KI-gesteuerte Ergebnisse stärken kann. Im Gesundheitswesen beispielsweise könnte dieser Ansatz Ärzten helfen, besser zu verstehen, warum bestimmte Behandlungen für bestimmte Patientengruppen effektiver sind, und so eine individuellere und effektivere medizinische Versorgung unterstützen. Im Finanzwesen könnte dieser Ansatz Risikobewertungsprozesse verfeinern, indem er kausale Faktoren identifiziert, die das Marktverhalten steuern, und so zu einer verbesserten finanziellen Stabilität beitragen. In der öffentlichen Politik könnte ein solcher Rahmen die kausalen Auswirkungen von Maßnahmen, wie z. B. die Auswirkungen neuer bildungspolitischer Maßnahmen, aufklären und die politischen Entscheidungsträger in die Lage versetzen, evidenzbasierte Entscheidungen zum Nutzen
Dieser Ansatz hat das Potenzial, nicht nur die Interpretierbarkeit von KI-Modellen zu verbessern, sondern auch ihre Anpassungsfähigkeit in verschiedenen Anwendungsbereichen. Das Projekt ist vor allem in wichtigen Bereichen wie dem Gesundheitswesen, der Politik und dem Finanzwesen von Bedeutung, wo zuverlässige, kausal informierte KI eine fundierte Entscheidungsfindung unterstützen, Interventionen optimieren und das Vertrauen in KI-gesteuerte Ergebnisse stärken kann. Im Gesundheitswesen beispielsweise könnte dieser Ansatz Ärzten helfen, besser zu verstehen, warum bestimmte Behandlungen für bestimmte Patientengruppen effektiver sind, und so eine individuellere und effektivere medizinische Versorgung unterstützen. Im Finanzwesen könnte dieser Ansatz Risikobewertungsprozesse verfeinern, indem er kausale Faktoren identifiziert, die das Marktverhalten steuern, und so zu einer verbesserten finanziellen Stabilität beitragen. In der öffentlichen Politik könnte ein solcher Rahmen die kausalen Auswirkungen von Maßnahmen, wie z. B. die Auswirkungen neuer bildungspolitischer Maßnahmen, aufklären und die politischen Entscheidungsträger in die Lage versetzen, evidenzbasierte Entscheidungen zum Nutzen
Schlüsselwörter
Generative KI
KI-Transparenz
Participating Institutions
Publikationen
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Liegl, S., Maran, T., Furtner, M., & Sachse, P. (2026). Eyes on the Leader: Gaze Behavior as a Cue for Follower Conscientiousness. Journal of Applied Social Psychology, 56(1), 43-54.Weitere
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Tassinari, M., Marinucci, M., & Hasler, B. S. (2026). Immersive Technologies and Intergroup Relations: A Critical Review of Theoretical Questions and Methodological Challenges. Computers in Human Behavior, 178(May 2026).Weitere
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Herrmann-Romero, M., Liegl, S., Angerer, M., & Stöckl, T. (2026). Golden eye - How traders focus on and select information in experimental asset markets. Journal of Behavioral and Experimental Finance, 49(March).Weitere
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Zivkovic, D., & Liegl, S. (2025). Paradoxical leadership: the role of leader emotions and the mediating effect of paradoxical mindset on followers' performance. Leadership & Organization Development Journal, 46(7), 1024-1040.Weitere
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Hörler, R., Stein, F., Bayrle, N., Angerer, M., & Kordsachia, O. (2025). A bibliometric review of the EU sustainable finance initiative: evolving research dynamics. Sustainability Accounting, Management and Policy Journal.Weitere
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Furtner, M., & Tenschert, J. (2025). Leading others to lead themselves: Followers' perceptions of leaders' self-leadership. Psychologie des Alltagshandelns / Psychology of Everyday Activity, 18(2).Weitere
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Angerer, M., Hanke, M., Shakina, E., & Szymczak, W. (2025). The Effect of Different Saving Mechanisms in Pension Saving Behavior: Evidence from a Life-Cycle Experiment. Journal of Risk and Financial Management, 18(5).Weitere
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Scheuffele, M., Fetkenheuer, N., & Brecht, L. (2025). Introducing a data-driven approach for validating the practical relevance of emerging innovation fields - Trend insights on the technologies and twin transformation. International Journal of Innovation Management, 29(05n06).Weitere
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Klammer, A., Grisold, T., Nguyen, N., & Hsu, S.-w. (2025). Organizational unlearning as a process: What we know, what we don’t know, what we should know. Management Review Quarterly, 75, 2147-2171.Weitere
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Improved Tracking-Error Management for Active and Passive Investing
Referenz
De Nard, G., Ledoit, O., & Wolf, M. (2025). Improved Tracking-Error Management for Active and Passive Investing. The Journal of Portfolio Management, 51(4), 40-62.Publication Type
Beitrag in wissenschaftlicher FachzeitschriftStaff Members
Participating Institutions
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Bassen, A., Kordsachia, O., Lopatta, K., & Tan, W. (2025). Revenue Alignment with the EU Taxonomy Regulation in Developed Markets. Journal of Banking & Finance, 170(January).Weitere
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Schadner, W. (2025). Hurst Exponent as Implied by Option Prices. Studies in Nonlinear Dynamics & Econometrics.Weitere
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Ebrahimi, P., & Schneider, J. (2025). Fine-Tuning Image-to-Text Models on Liechtenstein Tourist Attractions. Electronic Markets, 35(55).Weitere
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Kirn, T., & Dekkers, G. (2025). Assessing Vertical Equity in Defined Benefit Pension Plans: An Application to Switzerland. Risks, 13(5).Weitere
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Meske, C., Junglas, I., Trier, M., Schneider, J., Jaakonmäki, R., & vom Brocke, J. (2025). Capturing the "Social" in Social Networks: The Conceptualization and Empirical Application of Relational Quality. Journal of the Association for Information Systems, 26(4).Weitere
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vom Brocke, J., Franzoi, S., Kipping, G., & Grisold, T. (2025). Managing Business Processes in Times of Continuous Change. Balancing Emergence and Control. CONTROLLING - Zeitschrift für erfolgsorientierte Unternehmenssteuerung, 37(1), 11-17.Weitere
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Kirn, T., Oschwald, P., & Anderl, R. (2025). SWISSMOD – A New Tax-Benefit Model of Switzerland. International Journal of Microsimulation, 18(2).Weitere
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Jenni, M., Schadner, W., & Angerer, M. (2025). Hard forks, hard questions: Unraveling the microstructure effects on Bitcoin's return, volume, and volatility. Economic Letters, 257(December).Weitere
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Furtner, M., Liegl, S., & Klösel, K. (2025). Self-leadership: The essential drive for entrepreneurs. Journal of the International Council for Small Business, 6(2).Weitere
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A Comparative Analysis of Corporate Sustainability Reporting: A Multi-Method Approach to China and the United States
Referenz
Meng,Qiao, Knapp, D., Brecht, L., & Eckert, R. (2025). A Comparative Analysis of Corporate Sustainability Reporting: A Multi-Method Approach to China and the United States. Sustainability, 17(22).Publication Type
Beitrag in wissenschaftlicher FachzeitschriftStaff Members
Participating Institutions
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Yuan, Y., Apruzzese, G., & Conti, M. (2025). Beyond the west: Revealing and bridging the gap between Western and Chinese phishing website detection. Computers & Security, 148(January).Weitere
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Knapp, D., Bayrle-Kelso, N., Nigg-Stock, A., & Brecht, L. (2025). The Impact of Governmental Regulations and Environmental Activities on Innovation Efficiency. Sustainability, 17(2).Weitere
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Peled, A., Leinonen, T., & Hasler, B. S. (2025). Telerobotic Theater of the Oppressed in Israel and Palestine: Becoming Digital Jokers. ACM Transactions on Computer-Human Interaction, 32(3).Weitere
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Shakina, E., Hanke, M., & Ellis, S. (2025). Central Bank Digital Currencies: Experimental Evidence of Deposit Conversion. The B.E. Journal of Economic Analysis & Policy, 25(1), 127.137.Weitere
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It's Not Easy: Applying Supervised Machine Learning to Detect Malicious Extensions in the Chrome Web Store
Referenz
Rosenzweig, B., Dalla Valle, V., Apruzzese, Giovanni, & Fass, A. (2025). It's Not Easy: Applying Supervised Machine Learning to Detect Malicious Extensions in the Chrome Web Store. ACM Transactions on the Web.Publication Type
Beitrag in wissenschaftlicher FachzeitschriftStaff Members
Participating Institutions
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Schneider, J., & Casanova, A. (2025). Improving classifier decision boundaries and interpretability using nearest neighbors. Discover Artificial Intelligence, 5(128).Weitere
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Using a Stack to Find an AI Needle: Topic Modeling for Cyber Threat Intelligence
Referenz
Schröer, S., Seideman, J. D., Shoufu, L., Apruzesse, G., Dietrich, S., & Laskov, P. (2025). Using a Stack to Find an AI Needle: Topic Modeling for Cyber Threat Intelligence. Digital Threats: Research and Practice, 6(4).Publication Type
Beitrag in wissenschaftlicher FachzeitschriftStaff Members
Participating Institutions
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Schneider, J. (2025). Mental model shifts in human-LLM interactions. Journal of Intelligent Information Systems, 63, 1737–1752.Weitere
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Giffen, B., Beitinger, G., Ludwig, H., Schiano, B., Schmidt, K., & vom Brocke, J. (2025). The Culture Clash of AI Adoption in Lean Quality Management. Resolving the Tensions at Siemens Electronics Works Amberg. Information Systems Journal.Weitere
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Seidel, S., Frick, C. J., & vom Brocke, J. (2025). Regulating Emerging Technologies: Prospective Sensemaking through Abstraction and Elaboration. MIS Quarterly, 49(1), 179-204.Weitere
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Paleit, S., Riar, F. J., Hülsbeck, M., & Hack, A. (2025). Family Firm Perceptions and Investment Decisions: An Experimental Conjoint Analysis of Private Equity Investors. Journal of Family Business Strategy, 16(3).Weitere
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Sturm, T., Bican, P. M., Riar, F. J., & Guderian, C. C. (2025). Deal or No Deal? Understanding Entrepreneurs' Criteria in Investor Selection Decisions. Journal of Business Economics, 95, 9-36.Weitere
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Adler, E., Hasler, B. S., Hasson, Y., Landau, D., Baratz, G., Halperin, E., & Levy, J. (2025). Virtual regulation: Can immersive virtual reality be used to assist intergroup interventions? The moderating effect of political ideology. Group Processes & Intergroup Relations, Online First.Weitere
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Snider, K. L., Cohen, A., Dal Bello, G., Baratz, G., Hasler, B. S., & Canetti, D. (2025). Terrorism, Perceived Threat, and Support for Surveillance: A Virtual Reality Experiment on Cyber vs. Conventional Terrorism. International Journal of Environmental Research and Public Health, 22(11).Weitere
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Aldouby, H., Hasler, B. S., Nadav, T., & Friedman, D. (2025). Viewing images of jagged texture in digital artwork affects body sensations: A Virtual Reality study. Psychology of Aesthetics, Creativity, and the Arts, 19(1), 38-47.Weitere
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Ballandies, M. C., Holzwarth, V., Sunderland, B., Pournaras, E., & vom Brocke, J. (2025). Advancing Customer Feedback Systems with Blockchain - When Design Science Research Meets Value-Sensitive Design. Business & Information Systems Engineering, 67, 449-471.Weitere
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Gau, M., Greif-Winzrieth, A., Maedche, A., Weinhardt, C., & vom Brocke, J. (2025). Engaging citizen scientists: designing an open research system for collaborative problem exploration. Electronic Markets, 35.Weitere
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Schröer, S., Pajola, L., Castagnaro, A., Apruzesse, G., & Conti, M. (2025). Exploiting AI for Attacks: On the Interplay between Adversarial AI and Offensive AI. IEEE Intelligent Systems.Weitere
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Liborius, P., Kiewitz, C., & Faber, A. (2025). Up Close and Powerful: Leaders' Personal Sense of Power and Psychological Closeness to Their Team as Antecedents of Leader Humility, Subordinate Job Engagement and Trust. Journal of Organizational Behavior, 46(9).Weitere
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Angerer, M., Gramlich, M., & Hanke, M. (2025). Order Book Liquidity on Crypto Exchanges. Journal of Risk and Financial Management, 18(3).Weitere
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Riar, F. J., Miao, C., Qian, S., Debicki, B., & Kellermanns, F. W. (2025). Meta-Analytic Review, Synthesis, and Directions for the Future of Entrepreneurial Passion Research. European Management Journal, 43(1), 42-58.Weitere
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Tenschert, J., Furtner, M., & Peters, M. (2025). The effects of self-leadership and mindfulness training on leadership development: a systematic review. Management Review Quarterly, 75, 2811-2862.Weitere
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Wilhelm, B., Simarasl, N., Riar, F. J., & Kellermanns, F. W. (2024). Organizational Citizenship Behavior: Understanding Interaction Effects of Psychological Ownership and Agency System Design. Review of Managerial Science, 18, 1-27.Weitere
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Schneider, J., Meske, C., & Kuss, P. (2024). Foundation Models. Business & Information Systems Engineering, 66, 221-231.Weitere
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Dubiel-Teleszynski, T., Kalogeropoulos, K., & Karouzakis, N. (2024). Sequential Learning and Economic Benefits from Dynamic Term Structure Models. Management Science, 70(4), 2236-2254.Weitere
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Schadner, W. (2024). Direct Fit for SVI Implied Volatilities. Journal of Derivatives, 31(3).Weitere
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Schneider, J. (2024). Explainable Generative AI (GenXAI): a survey, conceptualization, and research agenda. Artificial Intelligence Review, 57(289).Weitere
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Razgallah, H., Vlachos, M., Ajalloeian, A., Liu, N., Schneider, J., & Steinmann, A. (2024). Using Neural and Graph Neural Recommender Systems to Overcome Choice Overload: Evidence From a Music Education Platform. ACM Transactions on Information Systems, 42(4), 1 - 26.Weitere
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Hacker, J., Trier, M., & Richter, A. (2024). Unfolding the contextual nature of enterprise social media use - a morphogenetic approach. European Journal of Information Systems, 33(6), 921-952.Weitere
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Liegl, S., & Furtner, M. (2024). Emotional leader communication in the digital age: An experimental investigation on the role of emoji. Computers in Human Behavior, 154, 108148.Weitere
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Nigg-Stock, A., Klammer, A., & Brecht, L. (2024). Old and new: a dynamic capabilities perspective of learning and unlearning. Industry and Innovation, 31(9).Weitere
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Zavolokina, L., Bauer-Hänsel, I., Hacker, J., & Schwabe, G. (2024). Organizing for value creation in blockchain information systems. Information and Organization, 34(3).Weitere
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Factor-Mimicking Portfolios for Climate Risk
Referenz
De Nard, G., Engle, R. F., & Kelly, B. (2024). Factor-Mimicking Portfolios for Climate Risk. Financial Analysts Journal, 80(3), 40-62.Publication Type
Beitrag in wissenschaftlicher FachzeitschriftStaff Members
Participating Institutions
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Nonstandard Errors
Referenz
Menkveld, A., Dreber, A., Holzmeister, F., Huber, J., Johannesson, M., Kirchler, M., Neusüss, S., Razen, M., Weitzel, U., Abad-Díaz, D., Abudy, M., Adrian, T., Ait-Sahalia, Y., Akmansoy, O., Alcock, J., Alexeev, V., Aloosh, A., Amato, L., Amaya, D., Angel, J., Avetikian, A., Bach, A., Baidoo, E., Bakalli, G., Bao, L., Barbon, A., Bashchenko, O., Bindra, P., Bjønnes, G., Black, J., Black, B., Bogoev, D., Correa, S., Bondarenko, O., Bos, C., Bosch-Rosa, C., Bouri, E., & et al. (2024). Nonstandard Errors. The Journal of Finance, 79(3), 40-62.Publication Type
Beitrag in wissenschaftlicher FachzeitschriftStaff Members
Participating Institutions
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Brecht, L., & Knapp, D. (2024). Die Rolle des organisationalen Lernens zur Steigerung der Innovationseffizienz. Zeitschrift für KMU & Entrepreneurship, 72(3-4).Weitere
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Liegl, S., Maran, T., Kraus, S., Furtner, M., & Sachse, P. (2024). Eyes That Lead: The Charismatic Influence of Gaze Signaling on Employee Approval and Extra-Effort. Journal of Business Research, 183, 114861.Weitere
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Hardeck, I., Inger, K. K., Moore, R. D., & Schneider, J. (2024). The impact of tax avoidance and environmental performance on tax disclosure in CSR reports. Journal of the American Taxation Association, 46(4), 83-111.Weitere
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Altheimer, J., & Schneider, J. (2024). Smart-watch-based construction worker activity recognition with hand-held power tools. Automation in Construction, 167.Weitere
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Yuan, Y., Apruzzese, G., & Conti, M. (2024). Multi-SpacePhish: Extending the Evasion Space of Adversarial Attacks against Phishing Website Detectors using Machine Learning. Digital Threats: Research and Practice, 5(2).Weitere
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Peled, A., Leinonen, T., & Hasler, B. S. (2024). Telerobotic intergroup communication: Acceptance and preferences in Israel and Palestine. Behavioral Sciences, 14(9), 854.Weitere
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Hevner, A. R., Parsons, J., Brendel, A. B., Lukyanenko, R., Tiefenbeck, V., Tremblay, M. C., & vom Brocke, J. (2024). Transparency in design science research. Decision Support Systems, 182(July).Weitere
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González, A., Stockhammer, D., & Schneider, J. (2024). Künstliche Intelligenz für den Wiederaufbau von Kulturgütern am Beispiel der Rekonstruktionsfrage von Schloss Vaduz. Forschungsmagazin 160 im Quadrat(5).Weitere
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Lara Machado, P., van de Ven, M., Aysolmaz, B., Turetken, O., & vom Brocke, J. (2024). Navigating Business model redesign - the compass method for identifying changes to the operating model. Business & Information Systems Engineering, 66(5).Weitere
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Rigamonti, A., & Lucivjanska, K. (2024). Mean-Semivariance Portfolio Optimization Using Minimum Average Partial. Annals of Operations Research, 334, 185-203.Weitere
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Tuunanen, T., Winter, R., & vom Brocke, J. (2024). Dealing with Complexity in Design Science Research: A Methodology Using Design Echelons. MIS Quarterly, 48(2).Weitere
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Van den Bosch, K., Kirn, T., Kump, N., Liégeois, P., Stropnik, N., Barslund, M., Vergnat, V., & Dekkers, G. (2024). The impact of taking up care tasks on pensions: Results of typical-case simulations for several European countries. European Journal of Social Security, 26(1).Weitere
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Ravet-Brown, T., Furtner, M., & Kallmuenzer, A. (2024). Transformational and entrepreneurial leadership: A review of distinction and overlap. Review of Managerial Science, 18, 493-538.Weitere
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Branger, N., Hanke, M., & Weissensteiner, A. (2024). The information content of wheat derivatives regarding the Ukrainian war. Journal of Futures Markets, 44(3), 420-431.Weitere
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Bokstaller, J., Schneider, J., Lux, S., & vom Brocke, J. (2024). Battery Health Index: Combination of Physical and ML-Based SoH for Continuous Health Tracking. IEEE Internet of Things Journal, 11(20).Weitere
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Salamzadeh, A., Dana, L.-P., Ebrahimi, P., Hadizadeh, M., & Mortazavi, S. (2024). Technological barriers to creating regional resilience in digital platform-based firms: Compound of performance sensitivity analysis and BIRCH algorithm. Thunderbird International Business Review, 66(2).Weitere
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Sagodi, A., van Giffen, B., Schniertshauer, J., Niehues, K., & vom Brocke, J. (2024). How Audi Scales Artificial Intelligence in Manufacturing. Management Information Systems Quarterly Executive, 23(2).Weitere
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Longo, L., Brcic, M., Cabitza, F., Choi, J., Confalonieri, R., Del Ser, J., Guidotti, R., Hayashi, Y., Herrera, F., Holzinger, A., Jiang, R., Khosravi, H., Lecue, F., Malgieri, G., Páez, A., Samek, W., Schneider, J., Speith, T., & Stumpf, S. (2024). Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions. Information Fusion, 106(June).Weitere
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Sasani, F., Moghareh Dehkordi, M., Ebrahimi, Z., Dustmohammadloo, H., Bouzari, P., Ebrahimi, P., Lencsés, Enikö, & Fekete-Farkas, M. (2024). Forecasting of Bitcoin Illiquidity Using High-Dimensional and Textual Features. Computers, 13(1).Weitere
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Kosolapova, M., Hanke, M., & Weissensteiner, A. (2023). Estimating time-varying risk aversion from option prices and realized returns. Quantitative Finance, 23(1), 1-17.Weitere
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van Giffen, B., & Ludwig, H. (2023). How Siemens Democratized Artificial Intelligence. Management Information Systems Quarterly Executive, 22(1), 1-21.Weitere
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Liegl, S., & Furtner, M. (2023). Introverted and yet effective? A faceted approach to the relationship between leadership and extraversion. Frontiers in Psychology, 14, 1185271.Weitere
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Shahadat, M. M., Nekmahmud, M., Ebrahimi, P., & Fekete-Farkas, M. (2023). Digital Technology Adoption in SMEs: What Technological, Environmental and Organizational Factors Influence in Emerging Countries? Global Business Review.Weitere
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Apruzzese, G., & Subrahmanian, V. (2023). Mitigating Adversarial Gray-Box Attacks Against Phishing Detectors. IEEE Transactions on Dependable and Secure Computing (TDSC), 20(5).Weitere
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Rizvani, A., Apruzzese, G., & Laskov, P. (2025). The Ephemeral Threat: Assessing the Security of Algorithmic Trading Systems Powered by Deep Learning. Paper presented at the 15th ACM Conference on Data and Application Security and Privacy, Pittsburgh, USA.Weitere
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Reiners, S., Kipping, G., Tingelhoff, F., & Gau, M. (2025). Past Lessons, Future Directions: An Author-Informed Review of Design Science Research in Information Systems. Paper presented at the Local Solutions for Global Challenges. DESRIST 2025.Weitere
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Pekaric, I., Sauerwein, C., Laichner, S., & Breu, R. (2025). How Do Mobile Applications Enhance Security? An Exploratory Analysis of Use Cases and Provided Information. Paper presented at the 2025 ACM Southeast Conference, Cape Girardeau, Missouri.Weitere
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Beales, T., Zivkovic, D., & Brecht, L. (2025). Resource efficient firms and stock returns. Paper presented at the 36. ISPIM Innovation Conference, Bergen Norway.Weitere
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Nigg-Stock, A., Zivkovic, D., & Brecht, L. (2025). Senior leaders's role and skills for being innovation-efficient. Paper presented at the ISPIM Connects Cape Town, South Africa - Transforming Futures Through Innovation, Cape Town, South Africa.Weitere
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Pajola, L., Schröer, S. L., Tricomi, P. P., Conti, M., & Apruzzese, G. (2025). Elephant in the Room: Dissecting and Reflecting on the Evolution of Online Social Network Research. Paper presented at the Nineteenth International AAAI Conference on Web and Social Media, Copenhagen, Denmark.Weitere
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Kipping, G., Gau, M., Terzis, J., & Zourou, K. (2025). Design of a Micro-Credentialing System for Skills Recognition in Education and Training. Paper presented at the Thirty-Third European Conference on Information Systems (ECIS 2025), Amman, Jordan.Weitere
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Schröer, S., Canevascini, N., Pekaric, I., Widmer, P., & Laskov P. (2025). The Dark Side of the Web: Towards Understanding Various Data Sources in Cyber Threat Intelligence. Paper presented at the 7th Workshop on Attackers and Cyber-Crime Operations, IEEE European Symposium on Security and Privacy, Venezia, Italy.Weitere
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Vladimirov, R., & Laskov, P. (2025). The Risk of Adversarial Perturbations for Deep Learning in Antenna Measurements. Paper presented at the 2025 IEEE Conference on Antenna Measurements and Applications (CAMA), Antibes Juan-les-Pins, France.Weitere
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Scheuffele, M., & Brecht, L. (2025). Future-ready technologies for Switzerland: Trend insights from job postings analysis. Paper presented at the ISPIM Connects Cape Town, South Africa - Transforming Futures Through Innovation, Cape Town, South Africa.Weitere
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Robots for Safer Pedestrian Crossing on Two-Lane Roads
Referenz
Flores Comeca, A. L., Masarykova, N., Halinkovic, M., Galinski, M., Laskov, P., & Vinel, A. (2025). Robots for Safer Pedestrian Crossing on Two-Lane Roads. Paper presented at the 2025 IEEE International Automated Vehicle Validation Conference (IAVVC).Publication Type
Beitrag in KonferenztagungsbandStaff Members
Participating Institutions
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Andreswari, R., Fahrenkrog-Petersen, S. A., & Mendling, J. (2025). Fairness for Process Mining: A Systematic Literature Review. Paper presented at the Process Mining Workshops (ICPM 2025 Int. Workshops), Montevideo, Uruguay.Weitere
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Gau, M., & Gnewuch, U. (2025). Facilitating Design Knowledge Access With a Generative AI-Based Conversational Assistant. Paper presented at the Thirty-Third European Conference on Information Systems (ECIS 2025), Amman, Jordan.Weitere
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Vladimirov, R., & Laskov, P. (2025). Challenges of Predictive Beamforming Using Geographical Positioning: Insights from the DeepSense Dataset. Paper presented at the 16th edition of the IFIP Wireless and Mobile Networking Conference (IFIP WMNC), Leuven, Belgium.Weitere
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Krause, F., Sturm, S. G., & van Giffen, B. (2025). How Ethical Theories Can Help Build Effective AI Governance in Organizations: Evidence From a Case Study at E-Commerce Company OTTO. Paper presented at the European Group of Organisational Studies (EGOS) Colloquium, Athens, Greece.Weitere
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Bokstaller, J., Altheimer, J., Dormehl, J. A., Buss, A., Wiltfang, J. I., Schneider, J., & Röglinger, M. (2025). Enhancing ML Model Interpretability: Leveraging Fine-Tuned Large Language Models for Better Understanding of AI. Paper presented at the ECIS 2025, Amman, Jordan.Weitere
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Zivkovic, D., & Liegl, S. (2025). Paradoxical leadership: The role of leader emotions and the mediating effect of paradoxical mindset on followers' performance. Paper presented at the European Group for Organizational Studies (EGOS), Athens, Greece.Weitere
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Maldonado, A., Frey, C. M., Aryasomayajula, S. A., Zellner, L., & Fahrenkrog-Petersen, S. A. (2025). SHAining on Process Mining: Explaining Event Log Characteristics Impact on Algorithms. Paper presented at the 7th International Conference on Process Mining (ICPM 2025), Montevideo, Uruguay.Weitere
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Sturm, S., & van Giffen, B. (2025). How Organizations Design Portfolio Management to Govern AI: A Taxonomy Approach. Paper presented at the ECIS 2025, Amman, Jordan.Weitere
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E-PhishGEN: Unlocking Novel Research in Phishing Email Detection
Referenz
Pajola, L., Caripoti, E., Banzer, S., Pizzi, S., Conti, M., & Apruzzese, G. (2025). E-PhishGEN: Unlocking Novel Research in Phishing Email Detection. Paper presented at the 18 th ACM Workshop on Artificial Intelligence and Security, Taipei, Taiwan.Publication Type
Beitrag in KonferenztagungsbandStaff Members
Participating Institutions
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Hillmann, P.-J., Fahrenkrog-Petersen, S. A., & Mendling, J. (2025). Cross-organizational Analysis of Parliamentary Processes: A Case Study. Paper presented at the 7th International Conference on Process Mining (ICPM 2025), Montevideo, Uruguay.Weitere
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Sturm, S., Schmid, S., Endejan, M., Kressin, B., Christophersen, T., & van Giffen, B. (2025). How to Identify Promising AI Use Cases Under Real Business Conditions: Learnings from OTTO. Paper presented at the 22nd Conference of the Italian Chapter of AIS, Castellanza, Italy.Weitere
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The Impact of Emerging Phishing Threats: Assessing Quishing and LLM-generated Phishing Emails against Organizations
Referenz
Weinz, M., Zannone, N., Allodi, L., & Apruzesse, G. (2025). The Impact of Emerging Phishing Threats: Assessing Quishing and LLM-generated Phishing Emails against Organizations. Paper presented at the 20th ACM Asia Conference on Computer and Communications Security.Publication Type
Beitrag in KonferenztagungsbandStaff Members
Participating Institutions
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Kirchmann, H., Fahrenkrog-Petersen, S. A., Lu, X., & Weidlich, M. (2025). Let's simply count: Quantifying Distributional Similarity between Activities in Event Data. Paper presented at the 7th International Conference on Process Mining (ICPM 2025), Montevideo, Uruguay.Weitere
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Social Robots for Road Safety: Pedestrian Crossing Assistance Use-Case
Referenz
Flores Comeca, A. L., Masarykova, N., Halinkovic, M., Galinski, M., Laskov, P., & Vinel, A. (2025). Social Robots for Road Safety: Pedestrian Crossing Assistance Use-Case. Paper presented at the International Symposium ELMAR.Publication Type
Beitrag in KonferenztagungsbandStaff Members
Participating Institutions
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Pekaric, I., & Apruzzese, G. (2025). "We provide our resources in a dedicated repository": Surveying the Transparency of HICSS Publications. Paper presented at the 58th Hawaii International Conference on System Sciences.Weitere
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Pfister, M., Arpuzzese, G., & Pekaric, I. (2025). Department-Specific Security Awareness Campaigns: A Cross-Organizational Study of HR and Accounting. Paper presented at the APWG's 2025 Symposium on Electronic Crime Research (eCrime 2025), San Diego, USA.Weitere
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Fetkenheuer, N., & Brecht, L. (2025). Process Efficiency and Performance: A Data-Driven Approach for European Firms. Paper presented at the ISPIM Connects Yokohama, Yokohama, Japan.Weitere
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Schneider, J., Schenk, B., & Niklaus, C. (2024). Towards LLM-Based Autograding for Short Textual Answers. Paper presented at the 16th International Conference on Computer Supported Education.Weitere
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Eisele, L., & Apruzzese, G. (2024). "Are Crowdsourcing Platforms Reliable for Video Game-related Research?" A Case Study on Amazon Mechanical Turk. Paper presented at the 2014 Annual Symposium on Computer-Human Interaction in Play, Tampere, Finland.Weitere
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Schneider, J., Chandra Kruse, L., & Seeber, I. (2024). Validity Claims in Children-AI discurse: Experiment with ChatGPT. Paper presented at the 16th International Conference on Computer Supported Education.Weitere
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Fahrenkrog-Petersen, S. A. (2024). Anonymization Techniques for Privacy-preserving Process Mining (Extended Abstract). Paper presented at the 22nd International Conference on Business Process Management (BPM 2024) Demos / Resources Forum, Krakau, Polen.Weitere
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Schneider, J., Haag, S., & Chandra Kruse, L. (2024). Negotiating with LLMs: Prompt Hacks, Skill Gaps, And Reasoning Deficits. Paper presented at the International Conference on Computer-Human Interaction Research and Applications, Porto, Portugal.Weitere
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Schneider, J., & Prabhushankar, M. (2024). Understanding and Leveraging the Learning Phases of Neural Networks. Paper presented at the AAAI Conference on Artificial Intelligence.Weitere
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Klessascheck, F., Fahrenkrog-Petersen, S. A., Mendling, J., & Pufahl, L. (2024). Unlocking Sustainability Compliance: Characterizing the EU Taxonomy for Business Process Management. Paper presented at the EDOC 2024 – 28th International Enterprise Distributed Object Computing Conference, Groningen, Niederlande.Weitere
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Scheuffele, M., & Brecht, L. (2024). Anticipating Technology Convergence with Online Job Postings Data. Paper presented at the ISPIM Innovation Symposium, Manchester, UK.Weitere
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Fahrenkrog-Petersen, S. A., van der Aa, H., & Weidlich, M. (2024). Privacy-Aware Analysis based on Data Series. Paper presented at the 2024 IEEE 40th International Conference on Data Engineering (ICDE), Utrecht, Netherlands.Weitere
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Eisele, L., & Apruzzese, G. (2024). “Hey Players, there is a problem…”: On Attribute Inference Attacks against Videogamers. Paper presented at the IEEE Conference on Games, Milan, Italy.Weitere
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Hao, Q., Diwan, N., Yuan, Y., Apruzzese, G., Conti, M., & Wang, G. (2024). It Doesn’t Look Like Anything to Me: Using Diffusion Model to Subvert Visual Phishing Detectors. Paper presented at the 33rd USENIX Security Symposium, Philadelphia, USA.Weitere
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Johny, L., Dechant, H., & Schneider, J. (2024). Taking Data Scientists Out-of-the-Loop in Knowledge Intense Analytics - A Case Study for Product Designs. Paper presented at the European Conference on Information Systems 2024, Paphos, Cyprus.Weitere
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Lange, K., Fontana, F., Rossi, F., Varile, M., & Apruzzese, G. (2024). Machine Learning in Space: Surveying the Robustness of on-board ML models to Radiation. Paper presented at the IEEE Space Computing Conference, Mountain Vies, USA.Weitere
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Kipping, G., Gau, M., & vom Brocke, J. (2024). Towards a Reference Model for Designing Micro-Credentials in Higher Education. Paper presented at the 45th International Conference on Information Systems, Bangkok, Thailand.Weitere
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Moyano, C. G., Klessascheck, F., Fahrenkrog-Petersen, S. A., Bala, S., & Mendling, J. (2024). Towards Nudging in BPM: A Human-Centric Approach for Sustainable Business Processes. Paper presented at the Process Mining Workshops. ICPM 2024, Lyngby, Denmark.Weitere
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Weinz, M., Schröer, S. L., & Apruzzese, G. (2024). "Hey Google, Remind me to be Phished" Exploiting the Notificatons of the Google (AI) Assistant on Android for Social Engineering Attacks. Paper presented at the APWG Symposium on Electronic Crime Research, Boston, USA.Weitere
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Pekaric, I., Frick, M., Adigun, J. G., Groner, R., Witte, T., Raschke, A., Felderer, M., & Tichy, M. (2024). Streamlining Attack Tree Generation: A Fragment-Based Approach. Paper presented at the 57th Hawaii International Conference on System Sciences.Weitere
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Apruzzese, G., Fass, A., & Pierrazzi, F. (2024). When Adversarial Perturbations meet Concept Drift: An Exploratory Analysis on ML-NIDS. Paper presented at the 2024 Workshop on Artifical Intelligence and Security.Weitere
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Fahrenkrog-Petersen, S. A., Bala, S., Pufahl, L., & Mendling, J. (2024). Unraveling the Never-Ending Story of Lifecycles and Vitalizing Processes. Paper presented at the Enterprise Design, Operations, and Computing. EDOC 2024 Workshops, Vienna, Austria.Weitere
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Scheuffele, M., Fetkenheuer, N., & Brecht, L. (2024). An Attempt at Data-Driven Validation of Early-Stage Technology Trends. Paper presented at the ISPIM Connects Porto Alegre - Social Innovation and Impact in the Global South, Porto Alegre, Brasil.Weitere
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Braun, T., Pekaric, I., & Apruzzese, G. (2024). Understanding the Process of Data Labeling in Cybersecurity. Paper presented at the ACM Symposium on Applied Computing (ACM SAC), Avila, Spain.Weitere
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Koh, F., Grosse, K., & Apruzzese, G. (2024). Voices from the Frontline: Revealing the AI Practitioners' viewpoint on the European AI Act. Paper presented at the Hawaii International Conference on System Sciences (HICSS).Weitere
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Ziche, C., & Apruzzese, G. (2024). LLM4PM: A Case Study on Using Large Language Models for Process Modeling in Enterprise Organizations. Paper presented at the International Conference on Business Process Management, Krakow, Poland.Weitere
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Yuan, Y., Hao, Q., Apruzzese, G., Conti, M., & Wang, G. (2024). "Are Adversarial Phishing Webpages a Threat in Reality?" Understanding the Users' Perception of Adversarial Webpages. Paper presented at the ACM Web Conference 2024, Singapore.Weitere
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Apruzzese, G., Anderson, H. S., Dambra, S., Freeman, D., Pierazzi, F., & Roundy, K. A. (2023). "Real Attackers Don't Compute Gradients": Bridging the Gap Between Adversarial ML Research and Practice. Paper presented at the IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), Raleigh, North Carolina, USA.Weitere
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Lorenz, J., Chandra-Kruse, L., & Recker, J. (2023). Value creation and value capture with digitalized experiential offerings. Paper presented at the European Conference on Information Systems 2023, Kristiansand, Norway.Weitere
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Tricomi, P. P., Facciolo, L., Apruzzese, G., & Conti, M. (2023). Attribute Inference Attacks in Online Multiplayer Video Games: a Case Study on Dota2. Paper presented at the ACM Conference on Data and Application Security and Privacy (CODASPY), Charlotte, NC, United States.Weitere
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Schoormann, T., Möller, F., & Chandra Kruse, L. (2023). The Beauty of Messiness: A Flexible Tool for Design Principle Projects. Paper presented at the 56th Hawaii International Conference on System Sciences.Weitere
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Staub L., van Giffen, B., Hehn, J., & Sturm, S. (2023). Design Thinking for Artificial Intelligence: How Design Thinking Can Help Organizations to Address Common AI Project Challenges. Paper presented at the International Conference on Human-Computer Interaction (HCI International).Weitere
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Groner, R., Witte, T., Raschke, A., Hirn, S., Pekaric, I., Frick, M., Tichy, M., & Felderer, M. (2023). Model-Based Generation of Attack-Fault Trees. Paper presented at the International Conference on Computer Safety, Reliability, and Security.Weitere
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Schneider, J., Eisenhardt, D., Utama, C., & Meske, C. (2023). Impact of data collection on ML models: Analyzing differences of biases between low- vs. high-skilled annotators. Paper presented at the 18th International Conference on Wirtschaftsinformatik, Paderborn, Germany.Weitere
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Schneider, J., Meske, C., & Bikic, A. (2023). How individuals can shape AI through data - An AI literacy and morality perspective. Paper presented at the European Conference on Information Systems, Kristiansand, Norway.Weitere
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Sagodi, A., Dremel, C., & van Giffen, B. (2023). Sensemaking in AI-based Digital Innovations: Insights from a Manufacturing Case Study. Paper presented at the European Conference of Information Systems (ECIS), Kristiansand, Norway.Weitere
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Scheuffele, M., Bayrle-Kelso, N., & Brecht, L. (2023). Foresight for a product lifetime: developing a lifecycle-encompassing foresight process. Paper presented at the XXXIV ISPIM Innovation Conference, Ljubljana, Slovenia.Weitere
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Draganovic, A., Dambra, S., Aldana louit, J., Roundy, K., & Apruzzese, G. (2023). "Do Users fall for Real Adversarial Phishing?" Investigating the Human response to Evasive Webpages. Paper presented at the APWG Symposium on Electronic Crime Research (eCrime), Barcelona, Spain.Weitere
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Hartl, S., Franzoi, S., Grisold, T., & vom Brocke, J. (2023). Explaining Change with Digital Trace Data: A Framework for Temporal Bracketing. Paper presented at the 56th Hawaii International Conference on System Sciences, Maui, Hawaii.Weitere
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Fahrenkrog-Petersen, S. A., Senderovich, A., Tichauer, A., Tutak, A. K., Beck, J. C., & Weidlich, M. (2023). Privacy Attacks on Schedule-Driven Data. Paper presented at the Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI-23), Washington, DC, USA.Weitere
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Weber, M., & vom Brocke, J. (2023). Managing BPM Projects and their Implications on Organizations - Experiences from Research and Teaching. Paper presented at the 21st International Conference on Business Process Management: Blockchain, Robotic Process Automation and Educators Forum, Utrecht, Netherlands.Weitere
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Gau, M., Maedche, A., & vom Brocke, J. (2023). Accessing the Design Science Knowledge Base - A Search Engine for the Accumulation of Knowledge Across Decentrally Organized Publication. Paper presented at the 18th International Conference on Design Science Research in Information Systems and Technology, South Africa.Weitere
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Hildebrant, R., Fahrenkrog-Petersen, S. A., Weidlich, M., & Ren, S. (2023). PMDG: Privacy for Multi-perspective Process Mining Through Data Generalization. Paper presented at the 35th International Conference on Advanced Information Systems Engineering (CAiSE 2023), Zaragoza, Spain.Weitere
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Weber, M., Hacker, J., Karintaus, L., Pekkola, S., vom Brocke, J., & Ylinen, M. (2023). Preparing for Cyberattacks: A Resilience Case Study in the Healthcare Sector. Paper presented at the 31st European Conference on Information Systems (ECIS 2023), Kristiansand, Norway.Weitere
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Lee, J., Xin, Z., See, M. N., Sabharwal, K., Apruzzese, G., & Divakaran, D. (2023). Attacking Logo-based Phishing Website Detectors with Adversarial Perturbations. Paper presented at the European Symposium on Research in Computer Security (ESORICS).Weitere
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Grisold, T., & Schneider, J. (2023). Dynamics of Human-AI Delegation in Organizational Routines. Paper presented at the Rising like a Phoenix: Emerging from the Pandemic and Reshaping Human Endeavors with Digital Technologies (ICIS 2023), Hyderabad, India.Weitere
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Franzoi, S., Grisold, T., & vom Brocke, J. (2023). Studying Dynamics and Change with Digital Trace Data: A Systematic Literature Review. Paper presented at the 31st European Conference on Information Systems (ECIS), Kristiansand, Norway.Weitere
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Apruzzese, G., Laskov, P., & Schneider, J. (2023). SoK: Pragmatic Assessment of Machine Learning for Network Intrusion Detection. Paper presented at the IEEE European Symposium on Security and Privacy (IEEE EuroS&P), Delft, Netherlands.Weitere
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Kirchmann, H., Fahrenkrog-Petersen, S. A., Kabierski, M., van der Aa, H., & Weidlich, M. (2022). Privacy-Preserving Process Mining with PM4Py. Paper presented at the Doctoral Consortium and the Tool Demonstration Track of the 4th International Conference on Process Mining, ICPM-D 2022, Bozen, Italien.Weitere
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Kabierski, M., Fahrenkrog-Petersen, S. A., Dittmann, G., & Weidlich, M. (2022). PaPPI: Privacy-aware Process Performance Indicators. Paper presented at the Doctoral Consortium and the Tool Demonstration Track of the 4th International Conference on Process Mining, ICPM-D 2022, Bozen, Italien.Weitere
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Rösel, F., Fahrenkrog-Petersen, S. A., van der Aa, H., & Weidlich, M. (2022). A Distance Measure for Privacy-Preserving Process Mining Based on Feature Learning. Paper presented at the BPM 2021 International Workshops, Rome, Italy.Weitere
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van Giffen, B., Barth, N., & Sagodi, A. (2022). Characteristics of Contemporary Artificial Intelligence Technologies and Implications for IS Research. Paper presented at the International Conference of Information Systems (ICIS), Copenhagen, Denmark.Weitere
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Fahse, T., Blohm, I., & van Giffen, B. (2022). Effectiveness of Example-Based Explanations to Improve Human Decision Quality in Machine Learning Forecasting Systems. Paper presented at the International Conference of Information Systems (ICIS), Copenhagen, Denmark.Weitere
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Fahse, T., Blohm I., Hruby, R., & van Giffen, B. (2022). Explanation Interfaces for Sales Forecasting. Paper presented at the European Conference of Information Systems (ECIS), Timisoara, Romania.Weitere
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Sagodi, A., Engel, C., Schniertshauer, J., & van Giffen, B. (2022). Becoming Certain about the Uncertain: How AI Changes Proof-of-Concept Activities in Manufacturing - Insights from a Global Automotive Leader. Paper presented at the Proceedings of the Annual Hawaii International Conference on System Sciences (HICCS).Weitere
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Holler, M., Dremel, C., van Giffen, B., & Vogt, H. (2022). From Smart Connected Products to Systems of Systems: Case Study and Archetypes. Paper presented at the Product Lifecycle Management. Green and Blue Technologies to Support Smart and Sustainable Organizations, International Conference, Curitiba, Brazil.Weitere
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Scheuffele, M., Bayrle-Kelso, N., & Brecht, L. (2022). Data-Driven Foresight in Life Cycle Management: An interview study. Paper presented at the ISPIM Connects Athens, Athens, Greece.Weitere
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Peled, A., Leinonen, T., & Hasler, B. S. (2022). The potential of telepresence robots for intergroup contact. Paper presented at the 4th International Conference on Computer-Human Interaction Research and Applications (CHIRA 2020), Online.Weitere
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Gau, M., Greif-Winzrieth, A., & Mädche, A. (2022). Leveraging Digital Citizen Science for Research Problem Discovery: Insights from a Home Office Challenge Participatory Action. Paper presented at the Mensch und Computer 2022 - Workshopband, Darmstadt.Weitere
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Kirchmann, H., Fahrenkrog-Petersen, S. A., Mannhardt, . F., & Weidlich, M. (2026). Control-flow Reconstruction Attacks on Business Process Models. Presented at the Modellierung 2026, Bayreuth, Germany.Weitere
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Hillmann, P.-J., Fahrenkrog-Petersen, S. A., & Mendling, J. (2026). Cross-Organizational Analysis of Parliamentary Processes: A Case Study. Presented at the 16th International Workshop on Enterprise Modeling and Information Systems Architecture (EMISA 2026), Bayreuth, Germany.Weitere
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Salcher, L., Stöckl, S., & Hanke, M. (2025). Lost in Translation: How Predictability Turns Into Performance. Presented at the 29th International Conference on Macroeconomic Analysis and International Finance, Crete, Greece.Weitere
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Bartel, M., Stöckl, S., & Traut, J. (2025). Are there fences in the global factor zoo?. Presented at the 29th International Conference on Macroeconomic Analysis and International Finance, Crete, Greece.Weitere
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Barroso, P., Bartel, M., & Stöckl, S. (2025). Factor Chasing. Presented at the 29th International Conference on Macroeconomic Analysis and International Finance, Crete, Greece.Weitere
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Gau, M., Reiners, S., Kipping, G., Müller, L., Tuunanen, T., Leimeister, J. M., & vom Brocke, J. (2025). Design Science Research Academy: A Prototype for Open and Innovative DSR Teaching Material. Presented at the DESRIST 2025.Weitere
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Dubiel-Teleszynski, T., Kalogeropoulos, K., & Karouzakis, N. (2025). On unspanned latent risks in dynamic term structure models. Presented at the 19th International Joint Conference CFE-CMStatistics on Computational and Financial Econometrics (CFE) and Computational and Methodological Statistics (CMStatistics), London, UK.Weitere
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Brecht, L., & Beales, T. (2025). Firm resilience and stock returns. Presented at the Asia-Pacific Conference on Economics and Finance (APEF 2025), Singapore.Weitere
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Beutner, B., Zivkovic, D., & Zimmermann, A. (2025). A Dynamic Multi-Level Perspective on the Implementation of Ambidexterity. Presented at the Strategic Management Society, San Francisco, USA.Weitere
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Krause, F., Sturm, S. G., & van Giffen, B. (2025). Bridging Ethical Gaps: A Case for Virtue Ethics in AI Governance at OTTO. Presented at the Annual Meeting of the Society for Business Ethics, Copenhagen.Weitere
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Muskan, M., Fahrenkrog-Petersen, S. A., Mannhardt, F., & Van Dongen, B. (2025). Fairness-Aware Process Mining through Sequential Pattern Analysis. Presented at the 7th International Conference on Process Mining (ICPM 2025), Montevideo, Uruguay.Weitere
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van Giffen, B., Kipping, G., Roeckel, F. A., & Elshan, E. (2025). Empower Human-GenAI delegation through Design Thinking for AI. Presented at the ICIS 2025, Nashville, USA.Weitere
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Käser, P., Hack, A., & Riar, F. J. (2025). Shaping Legacy Through Sustainability Transition: How Family Firm Owners Mark Their Era. Presented at the 85. Academy of Management Annual Meeting (AOM), Kopenhagen, Dänemark.Weitere
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Bartel, M., Hanke, M., & Petric, S. (2025). FX Factor Momentum Pre- and Post-GFC. Presented at the Quantitative Methods in Finance Conference, Sydney, Australia.Weitere
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Storch, F., Bican, P. M., & Riar, F. J. (2025). From Social Impact to Sustainability: Motivational Shifts Among Women Entrepreneurs. Presented at the 85. Academy of Management Annual Meeting (AOM), Kopenhagen, Dänemark.Weitere
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Langenbacher, M. R. (2025). Activation Model of Cultural Mechanisms That Shape Both Individual and Collective Paradoxical Frames. Presented at the Academy of Management Annual Meeting (AOM), Coenhagen, Denmark.Weitere
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Storch, F., Bican, P. M., & Riar, F. J. (2025). From Social Impact to Sustainability: Motivational Shifts Among Women Entrepreneurs. Presented at the 25th European Academy of Management Meeting, Florence, Italy.Weitere
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Angerer, M., Gramlich, M., Hanke, M., & Penev, S. (2025). How to identify the unit of account? An analysis of crypto markets. Presented at the Australasian Finance and Banking Conference, Sydney, Australia.Weitere
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Langenbacher, M. R. (2025). Activation Model of Cultural Mechanisms That Shape Both Individual and Collective Paradoxical Frames. Presented at the European Group for Organizational Studies (EGOS), Athens, Greece.Weitere
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Kaeser, P., Hack, A., & Riar, F. J. (2025). Renewing Legacy in Family Firms: Exploring the Role of Sustainability as Opportunity for Owner Managers to Mark Their Era. Presented at the FIFU conference (German-speaking research centres and institutes for family business), Salzburg, Austria.Weitere
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Langenbacher, M., & Nigg-Stock, A. (2025). Unlocking the Black Box of Navigating Through Exploitation and Exploration for Innovation Efficiency. Presented at the 45th Annual Conference of the Strategic Management Society, San Francisco, California.Weitere
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Schadner, W. (2025). Isolating Event Risk Densities. Presented at the Quantitative Finance and Risk Analysis Symposium (QFRA 2025), Corfu, Greece.Weitere
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Kipping, G., Gau, M., & vom Brocke, J. (2024). How Micro-Credentials Enable Skills Recognition in Education and Training: Challenges and Opportunities for Information Systems Scholars. Presented at the 32nd European Conference on Information Systems, Paphos, Cyprus.Weitere
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Zivkovic, D., Langenbacher, M., & Zimmermann, A. (2024). Paradoxical Leadership: An Integrative Review and Future Research Agenda. Presented at the 7th International Conference on Management and Organization: MANAGING PARADOXES IN AND ACROSS ORGANIZATIONS, Belgrade, Serbia.Weitere
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Bartel, M., & Stöckl, S. (2024). How Global is Factor Predictability? Evidence from Nested Factor Momentum. Presented at the Financial Management Association's Annual Meeting.Weitere
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Furtner, M., Liegl, S., & Kloesel, K. (2024). Self-leadership: The essential drive for entrepreneurs. Presented at the Geneve/Fribourg Entrepreneurship Forum, Fribourg.Weitere
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Zivkovic, D., Langenbacher, M., & Zimmermann, A. (2024). Paradoxical Leadership: An Integrative Review and Future Research Agenda. Presented at the European Group for Organizational Studies (EGOS) Colloquium, Milan, Italy.Weitere
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Langenbacher, M. (2024). Mechanisms Embedded in Culture that Shape Paradoxical Frames: A Situated Dynamics Approach. Presented at the Academy of Management Annual Meeting (AOM), Chicago, Illinois.Weitere
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Salcher, L., & Stöckl, S. (2024). Lost in Translation: How Predictability Turns Into Performance. Presented at the Internationales Doktorandenseminar 2024, Vaduz, Liechtenstein.Weitere
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Dubiel-Teleszynski, T., Kalogeropoulos, K., & Karouzakis, N. (2024). Dynamic term structure models with nonlinearities using Gaussian Processes. Presented at the Royal Statistical Society International Conference, Brighton, UK.Weitere
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Lauber, M., Wilhelm, S., & Güldenberg, S. (2024). Entrepreneurial Marketing 2.0 within the Swiss Wine Industry. Presented at the American Association of Wine Economists, Lausanne, Switzerland.Weitere
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Gramlich, M., Angerer, M., & Xu, Y. (2024). Investors' Behavior and Market Efficiency in Experimental Asset Markets. Presented at the 12th Thurgau Experimental Economics Meeting (theem), Kreuzlingen, Switzerland.Weitere
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Gau, M., Reiners, S., Kipping, G., Tingelhoff, F., Leimeister, J. M., Tuunanen, T., & vom Brocke, J. (2024). Design Science Research Academy: Teaching Students to Solve Problems That Have Not Been Identified Yet, Using Technologies That Have Not Been Invented Yet. Presented at the 45th International Conference on Information Systems, Bangkok, Thailand.Weitere
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Salcher, L., & Stöckl, S. (2024). Lost in Translation: How Predictability Turns Into Performance. Presented at the 37th Australasian Finance and Banking Conference, Sydney, Australia.Weitere
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Petric, S. (2024). Equity Drawdown Mitigation. Presented at the CQF Fitch Learning Machine Learning Conference.Weitere
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Salcher, L., & Stöckl, S. (2024). Lost in Translation: How Predictability Turns Into Performance. Presented at the 2024 New Zealand Finance Meeting, Auckland, New Zealand.Weitere
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Hanke, M., Schadner, W., & Stöckl, S. (2024). Event Risk Premia and Non-convex Volatility Smiles. Presented at the Quantitative Methods in Finance Conference, Sydney, Australia.Weitere
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Bayrle, N., Hörler, R., Angerer, M., Kordsachia, O., & Stein, F. (2024). A Bibliometric Review of the EU Sustainable Finance Initiative. Presented at the 2nd Conference on Sustainable Banking & Finance CSBF 2024, Neapel, Italy.Weitere
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Bartel, M., & Stöckl, S. (2024). How Global is Factor Predictability? Evidence from Nested Factor Momentum. Presented at the Austrian Working Group on Banking and Finance.Weitere
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Hanke, M., Bartel, M., & Petric, S. (2024). Crisis Identification and Prediction using Machine Learning: The Case of U.S. Regional Banks. Presented at the Australasian Finance and Banking Conference, Sydney, Australia.Weitere
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Bartel, M., Hanke, M., & Petric, S. (2024). Identifikation und Prognose von Bankenkrisen mit KI-Methoden. Presented at the Finance Forum Zurich, Switzerland.Weitere
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Salcher, L., & Stöckl, S. (2024). Less is More: Ranking Information, Estimation Errors and Optimal Portfolios. Presented at the 37th Australasian Finance and Banking Conference, Sydney, Australia.Weitere
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Riar, F. J., Jiang, D., Hack, A., & Kellermanns, F. W. (2024). A Journey's End: Examining Entrepreneurs' Decisions to Exit their Ventures. Presented at the Academy of Management Annual Meeting (AOM), Chicago, Illinois.Weitere
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Gramlich, M., & Schadner, W. (2024). What Drives Liquidity in Crypto Markets? Evidence from Intraday Data. Presented at the World Finance Conference, Nicosia, Cyprus.Weitere
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Zivkovic, D., Langenbacher, M., & Zimmermann, A. (2024). Paradoxical Leadership: An Integrative Review and Future Research Agenda. Presented at the Academy of Management Annual Meeting (AOM), Chicago, Illinois.Weitere
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Riar, F. J., Jiang, D., Hack, A., & Kellermanns, F. W. (2024). Crossroads of Entrepreneurship: Exploring Life Stages and the Decision to Exit. Presented at the 24th European Academy of Management Meeting, Bath, United Kingdom.Weitere
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Bartel, M., & Stöckl, S. (2023). Factor Chasing and the Cross-Country Factor Momentum Anomaly. Presented at the Australasian Finance & Banking Conference, Sydney, Australia.Weitere
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Liegl, S., Furtner, M., & Auckenthaler, S. (2023). Effects of Quasi-Nonverbal Leader Communication on Impression Formation. Presented at the 21st EAWOP Conference, Katowice, Poland.Weitere
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Riar, F. J., Jiang, D., Hack, A., & Kellermanns, F. W. (2023). When's a Good Time to Leave? Examining Founders' Decisions to Stay or Quit their Ventures. Presented at the Annual Meeting of the Southern Management Association, St. Pete Beach, USA.Weitere
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Bartel, M., & Stöckl, S. (2023). Factor Chasing and the Cross-Country Factor Momentum Anomaly. Presented at the 13th Financial Markets and Corporate Governance Conference, Virtual.Weitere
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Riar, F. J., Qian, S., Miao, C., & Debicki, B. J. (2023). Entrepreneurial Passion: A Quantitative and Qualitative Review and Future Research Directions. Presented at the Annual Meeting of the Southern Management Association, St. Pete Beach, USA.Weitere
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Langenbacher, M. R., & Zivkovic, D. (2023). Situational Dynamics That Navigate Individual and Collective Responses to Paradox Within Organizations. Presented at the 2nd Paradox Research, Education, and Practice Conference, Virtual.Weitere
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Riar, F. J., Jiang, D., Hack, A., & Kellermanns, F. W. (2023). Age ain't Nothing but a Number? Unraveling Founder Departure Across a Lifespan. Presented at the 26th Forum on Entrepreneurship Research (G-Forum) - Annual Interdisciplinary Entrepreneurship Conference, Darmstadt, Germany.Weitere
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Salcher, L., & Stöckl, S. (2023). Breaking Bad: Parameter Uncertainty Caused by Structural Breaks in Stocks. Presented at the Financial Management Association - 2023 European Conference, Aalborg, Denmark.Weitere
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Yang, X., Riar, F. J., Kellermanns, F. W., & Leitterstorf, M. (2023). Blood, Sweat, and Tears: Unpacking the Effects of Family Ties in New Venture Teams. Presented at the FIFU conference (German-speaking research centres and institutes for family business), Hamburg, Germany.Weitere
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Riar, F. J., Qian, S., Miao, C., & Debicki, B. J. (2023). Antecedents and Outcomes of Entrepreneurial Passion: A Meta-Analysis.. Presented at the Jahreskonferenz der Academy of Management (AOM), Boston, Massachusetts, USA.Weitere
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Salcher, L., & Stöckl, S. (2023). Breaking Bad: Parameter Uncertainty Caused by Structural Breaks in Stocks. Presented at the 27th International Conference on Macroeconomic Analysis and International Finance, Crete, Greece.Weitere
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Riar, F. J., Qian, S., Miao, C., Debicki, B. J., & Leitterstorf, M. (2023). Meta-Analytic Review, Synthesis, and Directions for the Future of Entrepreneurial Passion Research. Presented at the Western Academy of Management Conference, Reno, USA.Weitere
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Salcher, L., & Stöckl, S. (2023). Breaking Bad: Parameter Uncertainty Caused by Structural Breaks in Stocks. Presented at the Poster Session of the Financial Econometrics Conference To Mark Stephen Taylor's Retirement, Lancaster, England.Weitere
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Bartel, M., & Stöckl, S. (2023). Factor Chasing and the Cross-Country Factor Momentum Anomaly. Presented at the FMA European Conference, Aalborg, Denmark.Weitere
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Bartel, M., & Stöckl, S. (2023). Factor Chasing and the Cross-Country Factor Momentum Anomaly. Presented at the Southern Finance Association Annual Meeting, Fajardo, Puerto Rico.Weitere
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Bartel, M., & Stöckl, S. (2023). Factor Chasing and the Cross-Country Factor Momentum Anomaly. Presented at the Financial Management Association Annual Meeting, Chicago, United States of America.Weitere
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Hora, W. (2023). Swimming with Sharks: Collaborating with Corporates from a Start-up’s Perspective. Presented at the Academy of Management Annual Meeting.Weitere
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Knapp, D. (2023). Shifting from a Problem-Driven Approach to a Solution-Driven Approach: Broadening the Perspective. Presented at the 8th International Conference on Design Science Research in Information Systems and Technology (DESRIST 2023), Pretoria, ZA.Weitere
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Knapp, D., Seckler, C., & vom Brocke, J. (2023). Creativity in Design Science Research: how to use divergent and convergent methods effectively. Presented at the 18th International Conference on Design Science Research in Information Systems and Technology (DESRIST 2023), Pretoria, ZA.Weitere
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Zivkovic, D., & Langenbacher, M. (2023). What Do We (Not) Know About Paradoxical Leadership. Presented at the Academy of Management Annual Meeting (AOM), Boston, Massachusetts.Weitere
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Grisold, T., Berente, N., & Seidel, S. (2023). Technology Affordances as Generative Processes. Presented at the Academy of Management Conference, Boston, US.Weitere
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Grisold, T., Gau, M., & Yoo, Y. (2023). A Mimetic Theory of User Behaviors in Online Communities: A Computational Study of GitHub. Presented at the 83nd Annual Meeting of the Academy of Management, Boston, Massachusetts, USA.Weitere
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Langenbacher, M. (2022). Mechanisms and Situated Dynamics Embedded in Culture That Shape Individual Responses to Paradox. Presented at the 42nd Annual International Conference of the Strategic Management Society, London, UK.Weitere
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Bartel, M., & Stöckl, S. (2022). Diversifying Estimation Errors with Unsupervised Machine Learning. Presented at the European Conference on Stochastic Optimization & Computational Management Science, Venice, Italy.Weitere
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Kirn, T. (2022). Exploring redistributive elements of the Swiss Pension system: An unconditional quantile treatment analysis. Presented at the 2022 Annual Congress of the Swiss Society of Economics and Statistics (SSES/SGVS), Universität Fribourg.Weitere
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Zivkovic, D., Zimmermann, A., & Hill, S. A. (2022). CEO and TMT Incentives and Organizational Ambidexterity. Presented at the Academy of Management Annual Meeting, Seattle.Weitere
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Bartel, M., & Stöckl, S. (2022). Diversifying Estimation Errors with Unsupervised Machine Learning. Presented at the World Finance Conference, Turin, Italy.Weitere
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Kirn, T., & Dekkers, G. (2022). Exploring redistributive elements of the Swiss Pension system: An unconditional quantile treatment analysis. Presented at the 3rd Workshop of the Swiss Network on Public Economics (SNoPE), KOF/ETH Zürich.Weitere
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Bartel, M., & Stöckl, S. (2022). Diversifying Estimation Errors with Unsupervised Machine Learning. Presented at the International Conference on Operations Research - OR 2022, Karlsruhe, Germany.Weitere
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Kirn, T., & Dekkers, G. (2022). Exploring redistributive elements of the Swiss Pension system: An unconditional quantile treatment analysis. Presented at the European Meeting of the International Microsimulation Association 2022, Institut für Abreitsmarkt- und Berufsforschung (IAB), Nürnberg.Weitere
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Bartel, M., & Stöckl, S. (2022). Diversifying Estimation Errors with Unsupervised Machine Learning. Presented at the Finance Forum 2022 - Annual Meeting of the Spanish Finance Association, Santiago de Compostela, Spain.Weitere
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Wilhelm, B., Simarasl, N., & Riar, F. J. (2022). Barking up the Wrong Tree: Effects of Governance Systems on Psychological and Behavioral Outcomes. Presented at the 82. Jahrestagung der Academy of Management (AOM), Seattle Washington.Weitere
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Yang, X., Riar, F. J., Kellermanns, F. W., & Leitterstorf, M. (2022). Clear as Mud? The Impact of Family Involvement in New Ventures on Entrepreneurial Performance. Presented at the 22nd European Academy of Management Meeting, Winterthur, Switzerland.Weitere
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Bratfisch, C., Riar, F. J., & Bican, P. M. (2022). Venture Capitalists' Strategies in Monitoring and Controlling their Startups. Presented at the Conference of the German Academic Association of Business Research, Duesseldorf, Germany.Weitere
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Salcher, L., & Stöckl, S. (2022). Less is More: Ranking Information, Estimation Errors and Optimal Portfolios. Presented at the European Conference on Stochastic Optimization and Computational Management Science, Venice, Italy.Weitere
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Bican, P. M., Sturm, T., Riar, F. J., & Guderian, C. C. (2022). Deal or No Deal: Investment Partner Choices in Startups. Presented at the (Hybrid) Journal of Product Innovation Management Research Forum, Baltimore, Maryland, USA.Weitere
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Gramlich, M., Angerer, M., & Hanke, M. (2022). Order Book Liquidity on Crypto Exchanges. Presented at the World Finance Conference, Torino, Italy.Weitere
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Herrmann-Romero, M., Liegl, S., Angerer M., & Stöckl, T. (2022). Golden Eye - How Traders Screen Information. Presented at the World Finance, Turin, Italy.Weitere
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Bartel, M., & Stöckl, S. (2022). Factor Chasing and the Cross-Country Factor Momentum Anomaly. Presented at the Frontiers of Factor Investing, Lancaster, UK.Weitere
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Herrmann-Romero, M., Liegl, S., Angerer M., & Stöckl, T. (2022). Golden Eye - How Traders Screen Information. Presented at the 37. AWG, Klagenfurt, Austria.Weitere
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Bartel, M., & Stöckl, S. (2022). Factor Chasing and the Cross-Country Factor Momentum Anomaly. Presented at the 3rd Financial Economics Meeting, Paris, France.Weitere
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Herrmann-Romero, M., Angerer, M., & Szymczak, W. (2022). Ally or Rival - Information Sharing in Trading Networks. Presented at the World Finance, University of Turin.Weitere
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Herrmann-Romero, M., Angerer, M., & Szymczak, W. (2022). Ally or Rival - Information Sharing in Trading Networks. Presented at the Experimental Finance Conference, University of Bonn.Weitere
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Benigni, N. (2025). The Value of Government Debt with Domestic Arrears (Available at SSRN: https://ssrn.com/abstract=5861382).Weitere
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Benigni, N. (2025). Fiscal Response to Monetary Shocks in the Euro Area (Available at SSRN: https://ssrn.com/abstract=5861503).Weitere
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Sydow, M., Fukker, G., Dubiel-Teleszynski, T., Franch, F., Gallet, S., Gründl, H., Kotronis, S., Miccio, D., Pellegrino, M., Schlütter, S., & Sottocornola, M. (2024). Banks and non-banks stressed: liquidity shocks and the mitigating role of insurance companies (ECB Working Paper Series, 3000).Weitere
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Dubiel-Teleszynski, T., Kalogeropoulos, K., & Karouzakis, N. (2023). Dynamic term structure models with nonlinearities using Gaussian Processes.Weitere
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Traut, J., & Schadner, W. (2023). Which is Worse: Heavy Tails or Volatility Clusters? (Swiss Finance Institute Research Paper 23-61).Weitere
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Bartel, M., & Stöckl, S. (2022). Diversifying Estimation Errors with Unsupervised Machine Learning. University of Liechtenstein.Weitere
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Kirn, T., & Dekkers, G. (2022). Exploring redistributive elements of the Swiss Pension system: An unconditional quantile treatment analysis. University of Liechtenstein.Weitere
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Dubiel-Teleszynski, T., Kalogeropoulos, K., & Karouzakis, N. (2022). On unspanned latent risks in dynamic term structure models.Weitere
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Salcher, L., & Stöckl, S. (2022). Breaking Bad: Parameter Uncertainty Caused by Structural Breaks in Stocks. University of Liechtenstein.Weitere
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Dubiel-Teleszynski, T., Kalogeropoulos, K., & Karouzakis, N. (2022). Sequential learning and economic benefits from dynamic term structure models.Weitere
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Salcher, L., & Stöckl, S. (2022). Less is More: Ranking Information, Estimation Errors and Optimal Portfolios. University of Liechtenstein.Weitere
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Bartel, M., & Stöckl, S. (2022). Factor Chasing and the Cross-Country Factor Momentum Anomaly. University of Liechtenstein.Weitere
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Kirn, T., Anderl, R., Oschwald, P., & Brinkmann, M. (2025, June 24 - 25). Anreize zur Arbeit: Der Übergang von der Haushaltsbesteuerung zur Individualbesteuerung in der Schweiz. Europäisches Treffen der International Microsimulation Association, NUI Galway, Ireland.Weitere
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Oschwald, P., Anderl, R., & Kirn, T. (2025, June 24 - 25). Bewertung der Auswirkungen eines Grundeinkommens in der Schweiz: Ein mikrosimulationsbasierter Ansatz auf Bundes- und Kantonsebene. Europäisches Treffen der International Microsimulation Association, NUI Galway, Ireland.Weitere
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Pekaric, I. (2025). Exploring the Dark Web and Beyond: Sources for Cyber Threat Intelligence. Universität für Elektrotechnik Sarajevo - ETF Sarajevo, Sarajevo, Bosnia and Herzegovina.Weitere
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Kirn, T., & Dekkers, G. (2025, June 24 - 25). Bewertung der vertikalen Gerechtigkeit in leistungsorientierten Rentenplänen: Eine Anwendung auf die Schweiz. Europäisches Treffen der International Microsimulation Association, NUI Galway, Ireland.Weitere
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Kirn, T., Anderl, R., Oschwald, P., & Brinkmann, M. (2025, June 24 - 25). Ansätze des maschinellen Lernens zur Vorhersage von Konsumausgaben: Eine vergleichende Analyse. Europäisches Treffen der International Microsimulation Association, NUI Galway, Ireland.Weitere
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Scheuffele, M., & Martini, M. (2025, Nov 26). Skills der Zukunft: Was Job Postings über KI-Kompetenzen verraten. Institutsseminar des Fraunhofer INT.Weitere
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Schneider, J. (2024, June 11). Governance of Generative AI for Companies.Weitere
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Furtner, M. (2024, July 10). Self-Leadership. Leadership Circle 2024, Würth, Rorschach, Switzerland.Weitere
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Petric, S. (2024, Nov). Crisis Identification and Prediction using Machine Learning. Österreichische Nationalbank.Weitere
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Bartel, M. (2024, Nov). Crisis Identification and Prediction using Machine Learning. WU Wien, Austria.Weitere
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Bartel, M., & Petric, S. (2024, May). Crisis Identification and Prediction using Machine Learning. Bank of England.Weitere
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Scheuffele, M. (2024, March 20). Datengetriebene Früherkennung von Technologiekonvergenz und wie wir sie uns zunutze machen können. Institutsseminar des Fraunhofer INT.Weitere
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Barroso, P., Bartel, M., & Stöckl, S. (2024, Oct. 8). Factor Chasing: How fast is International Capital?. Vienna Graduate School of Finance (VGSF) Brownbag Presentation.Weitere
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Hasler, B. S. (2023, March 14-16). Empathy with the Enemy - The Potential of VR for Conflict Resolution. Research Workshop on Empathies, Brains, and the Moving Image, Tel Aviv, Israel.Weitere
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Salcher, L., & Stöckl, S. (2022, May 13). Less is more: Ranking Information, Estimation Errors and Optimal Portfolios. Finance Seminar, University of Neuchatel, Switzerland.Weitere
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Stöckl, S. (2022, April 12). Parameter Uncertainty, Financial Turbulence and Aggregate Stock Returns. Finance Research Seminar, University of Konstanz, Konstanz, Germany.Weitere
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Hasler, B. S. (2022, Feb 17-19). Virtual Reality-based Conflict Resolution. 2022 SPSP Conflict Preconference, organized by Society for Personality and Social Psychology (SPSP), San Francisco, USA.Weitere
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Hasler, B. S. (2022, Dec 5). Changing Society by Transforming the Self through Virtual Reality?. Colloquium of the Department of Computer Science, Hebrew University, Israel.Weitere