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Wirtschaftswissenschaftliche Fakultät

Wissenschaftliche Publikationen

Die Mitglieder der Wirtschaftswissenschaftlichen Fakultät haben bereits in führenden internationalen Zeitschriften veröffentlicht. Dazu gehören u. a. Econometrica, Economic Journal oder die International Economic Review. Weiterhin waren oder sind verschiedene Mitglieder in nationalen und internationalen Organisationen tätig und in wirtschaftspolitischen Gremien aktiv. Dazu gehören die Deutsche Bundesbank, die Europäische Zentralbank, die Weltbank, die Kommission der EU und viele andere mehr. 

Die Forschungsergebnisse der verschiedenen Forschungsgruppen werden sowohl in international renommierten Fachzeitschriften als auch in eigenen Publikationsreihen veröffentlicht. Weitere Informationen finden Sie außerdem auf den Seiten der einzelnen Lehrstühle.
 

Wissenschaftliche Schriftenreihen der Fakultät

Publikationen

forthcoming[ to top ]
  • GenAI-powered Organizational Transformation: Rethinking Change Management to Unlock new Potentials fostering Augmentation and Automation. Straub, Lisa; Pietruschka, Jana; Zeiß, Christian; Tomitza, Christoph; Ibrahimli, Ulvi; Müller, Andrea; Winkelmann, Axel. In ECIS 2025 Proceedings. forthcoming.
  • Empowering SMEs through a Co-Opetition Platform: A Design Science Research Approach to Hyperautomation and Resilience. Straub, Lisa; Zeiß, Christian; Greiner, Maximilian; Winkelmann, Axel; Lechner, Ulrike. In 20th International Conference on Design Science Research in Information Systems and Technology. DESRIST 2025, forthcoming.
2025[ to top ]
  • From Black Box to Glass Box: Evaluating the Faithfulness of Process Predictions with GCNNs. Schaschek, Myriam; Gwinner, Fabian; Hein, Benedikt; Winkelmann, Axel. In Machine Learning and Principles and Practice of Knowledge Discovery in Databases, R. Meo, F. Silvestri (eds.), pp. 233–249. Springer Nature Switzerland, Cham, 2025.
  • Structuring Intelligent Automation: A Hyperautomation Taxonomy. Neis, Nicolas; Kathol, Elise; Winkelmann, Axel. In Proceedings of the 58th Hawaii International Conference on System Sciences, pp. 5663–5672. 2025.
  • Risk and Reward: Portfolio-based Dynamic Electricity Tariffs for Leveraging Demand-side Flexibility. Ameling, Justus; Gust, Gunther. 2025.
  • Platform Content Convergence? Investigating ChatGPT’s Impact on Airbnb Listings. Schaschek, Myriam. In Proceedings of the 58th Hawaii International Conference on System Sciences, pp. 3793–3802. 2025.
  • Designing a Governance Model for Blockchain-Based Traceability Systems in Supply Chain Consortia. Greiner, Maximilian; Zeiß, Christian; Neis, Nicolas; Seidenfad, Karl; Lechner, Ulrike; Winkelmann, Axel. In Proceedings of the 58th Hawaii International Conference on System Sciences, pp. 5581–5590. 2025.
2024[ to top ]
  • Designing For Banking Resilience: A DeFi E-Learning Solution. Zeiß, Christian; Straub, Lisa; Hahn, Viktoria; Lang, Konstanze; Schaschek, Myriam; Tomitza, Christoph; Winkelmann, Axel. In International Conference on Design Science Research (DESRIST 2024). 2024.
  • The faster, the better? The impact of short delivery times on product returns in online retailing. Masuch, Simon; Landwehr, Jan R.; Flath, Christoph M.; Thiesse, Frederic. In Journal of Retailing, 100. 2024.
  • Precocious inventors: early patenting success and lifetime inventive performance. Zwick, Thomas; Michlbauer, Theresa. In Economics of Innovation and New Technology, 33(1), pp. 92–123. 2024.
  • Squeeze-out by Shoot-out?. Knoll, Leonhard; Sekera-Terplan, Tino. In Betriebswirtschaftliche Forschung und Praxis, 76, pp. 393–413. 2024.
  • Multi-period electricity distribution network investment planning under demand coincidence in the smart grid. Rüde, Lenard; Gust, Gunther; Neumann, Dirk. In Annals of Operations Research, pp. 1–24. Springer, 2024.
  • Fantastic AI Text Generations and Where to Trust Them: It’s not Magic, it’s Science!. Straub, Lisa; Schaschek, Myriam; Tomitza, Christoph; Winkelmann, Axel. In Wirtschaftsinformatik 2024 Proceedings. 2024.
  • Beyond E-Commerce: A Design Science Study into Crafting a Model for Customer-centric M-Commerce. Tomitza, Christoph; Spies, Sebastian; Ibrahimli, Ulvi; Zeiß, Christian; Straub, Lisa; Winkelmann, Axel. In International Conference on Design Science Research (DESRIST). 2024.
  • A Taxonomy of Artificial Intelligence for Process Mining enhancement. Neis, Nicolas; Gwinner, Fabian; Haueisen, Carolin. In Pacific-Asia Conference on Information Systems (PACIS). AIS, 2024.
  • The Effect of Delivery Time on Repurchase Behavior in Quick Commerce. Harter, Alice; Stich, Lucas; Spann, Martin. In Journal of Service Research. 2024.
  • How to Achieve Hyperautomation? Towards a Maturity Model for SMEs. Tomitza, Christoph; Straub, Lisa; Ibrahimli, Ulvi; Rützel, Pascal; Zeiß, Christian; Kögler, Willi; Winkelmann, Axel. In Wirtschaftsinformatik 2024 Proceedings, p. 109. 2024.
  • Spatio-temporal Pricing and Fleet Management under Mixed Autonomy. Ubeda, Ignacio; Gust, Gunther. 2024.
  • Pay-What-You-Want. Spann, Martin; Stich, Lucas. In Elgar Encyclopedia of Pricing, pp. 166–167. Edward Elgar Publishing, 2024.
  • The obscure world of digital assets - Design Principles for User-Centered Platforms. Zeiß, Christian; Straub, Lisa; Schaschek, Myriam; Axel, Winkelmann. In 32nd European Conference on Information Systems (ECIS). AIS, 2024.
  • Augmenting Frontline Service Employee Onboarding via Hybrid Intelligence: Examining the Effects of Different Degrees of Human-GenAI Interaction. Reinhard, Philipp; Neis, Nicolas; Kolb, Lisa; Wischer, Dennis; Li, Mahei Manhai; Winkelmann, Axel; Teuteberg, Frank; Lechner, Ulrike; Leimeister, Jan Marco. In International Conference on Design Science Research in Information Systems and Technology (DESRIST 2024), M. Mandviwalla, M. Söllner, T. Tuunanen (eds.). Trollhättan, Sweden, 2024.
  • Designing electricity distribution networks: The impact of demand coincidence. Gust, Gunther; Schlüter, Alexander; Feuerriegel, Stefan; Úbeda, Ignacio; Lee, Jonathan T; Neumann, Dirk. In European Journal of Operational Research, 315(1), pp. 271–288. Elsevier, 2024.
  • Estimating electrical distribution network length and capital investment needs from real-world topologies and land cover data. Rüde, Lenard; Wussow, Moritz; Heleno, Miguel; Gust, Gunther; Neumann, Dirk. In Energy Policy, 195, p. 114368. Elsevier, 2024.
  • De exemplis deterrentibus. Bemerkenswerte Befunde aus der Praxis der rechtsgeprägten Unternehmensbewertung in Aufgabenform. Knoll, Leonhard. W. U. Press (ed.). 2024.
  • For Those About to Rely—A Taxonomy of Experimental Studies on AI Reliance. Schaschek, Myriam; Spatscheck, Niko; Winkelmann, Axel. In Wirtschaftsinformatik 2024 Proceedings. 2024.
  • Strange Case of Dr. Bidder and Mr. Entrant: Consumer Preference Inconsistencies in Costly Price Offers. Zeithammer, Robert; Stich, Lucas; Spann, Martin; Häubl, Gerald. In International Journal of Research in Marketing. 2024.
  • The Effects of Generative AI’s Human-Like Competencies on Clinical Decision-Making. Spatscheck, Niko; Schaschek, Myriam; Winkelmann, Axel. In Journal of Decision Systems. 2024.
  • Experts versus Novices: Analyzing Behavioral Variability in Complex Process Environments. Elbert, Nico; Flath, Christoph Michael. In Wirtschaftsinformatik Proceedings. 2024.
  • Process Mining for Game Analytics. Elbert, Nico; Flath, Christoph M. In IEEE Conference on Games (CoG). 2024.
  • Do outside options drive wage inequalities in retained jobs? Evidence from a natural experiment. Zwick, Thomas; Lukesch, Veronika. In British Journal of Industrial Relations, 62(1), pp. 127–153. 2024.
  • In-context Quantile Regression for Multi-product Inventory Management using Time-series Transformers. Maichle, Magnus Josef; Mukherjee, Sohom; Günder, Kai; Antonov, Ivane; Stein, Nikolai; Pibernik, Richard. In NeurIPS Workshop on Time Series in the Age of Large Models. 2024.
  • Data-driven inventory control for large product portfolios: A practical application of prescriptive analytics. Schmidt, Felix G; Pibernik, Richard. In European Journal of Operational Research. Elsevier, 2024.
  • What Can We Learn from LLMs? Building a Foundation Model for Inventory Management. Maichle, Magnus Josef; Stein, Nikolai; Pibernik, Richard. In Available at SSRN 4950340. 2024.
  • A General-Purpose Deep Reinforcement Learning Approach for Dynamic Inventory Control. Maichle, Magnus Josef; Stein, Nikolai; Pibernik, Richard; D’Eramo, Carlo. In Available at SSRN 4754937. 2024.
  • AI-based Methods of Dynamic Pricing in E-Commerce: A Systematization of Literature. Tomitza, Christoph; Ibrahimli, Ulvi; Herm, Lukas-Valentin. In European Conference on Information Systems (ECIS). AIS, 2024.
  • Re-intermediation of the crypto asset ecosystem by banks: An empirical study on acceptance drivers among the populace. Zeiß, Christian; Schaschek, Myriam; Straub, Lisa; Tomitza, Christoph; Winkelmann, Axel. In Electronic Markets, 34(37). 2024.
  • Buyer Behavior in Pay-What-You-Want Pricing. Stich, Lucas; Spann, Martin. In New Directions in Behavioral Pricing, C. Ofir (ed.), pp. 117–141. World Scientific Publishing Company, 2024.
  • Explainable subgradient tree boosting for prescriptive analytics in operations management. Notz, Pascal M; Pibernik, Richard. In European Journal of Operational Research, 312(3), pp. 1119–1133. Elsevier, 2024.
  • Governance Requirements for Decentralized Blockchain-based Supply Chain Consortia. Greiner, Maximilian; Zeiß, Christian; Neis, Nicolas; Seidenfad, Karl; Lechner, Ulrike; Winkelmann, Axel. In Wirtschaftsinformatik 2024 Proceedings, p. 58. AIS, 2024.
  • Transaction-Level Wage Transparency: How Fair Wage Disclosure Affects Consumer Preferences. Stich, Lucas; Ungemach, Christoph; Fuchs, Christoph; Spann, Martin; Ziano, Ignazio; Schumpe, Birga M. In International Journal of Research in Marketing. 2024.
  • Unbiased Beta despite Biased Data: Some Elementary Results. Knoll, Leonhard; Lorenz, Daniela; Kruschwitz, Lutz; Löffler, Andreas. In The European Business Valuation Magazine, 2(2), pp. 4–10. 2024.
  • Die ewige Rente zwischen Sollen, Wollen und Können: steuerliche Neutralität bei wertrelevantem Wachstum. Knoll, Leonhard. In Der Konzern, 22, pp. 283–292. 2024.
  • Unbiased Beta despite Biased Data: Some Elementary Results. Lorenz, Daniela; Knoll, Leonhard; Kruschwitz, Lutz; Löffler, Andreas. In The European Business Valuation Magazine, 2(2), pp. 4–10. 2024.
  • Automated feeder routing for underground electricity distribution networks based on aerial images. Ameling, Justus; Gust, Gunther. In European Journal of Operational Research. Elsevier, 2024.
  • Name-Your-Own-Price. Spann, Martin; Stich, Lucas. In Elgar Encyclopedia of Pricing, A. Hinterhuber (ed.), pp. 138–139. Edward Elgar Publishing, 2024.
  • The Idea Marketplace: Diversity, Social Capital, and Innovation. Heusler, Andreas H.; Zhang Foutz, Natasha; Spann, Martin; Stich, Lucas. In Journal of the Academy of Marketing Science, pp. 1–22. 2024.
  • Deciphering Crypto Risks: Crypto asset risk management requirements for financial service providers. Zeiß, Christian; Lang, Konstanze; Winkelmann, Axel. In Wirtschaftsinformatik 2024 Proceedings, p. 28. 2024.
  • De exemplis deterrentibus. Bemerkenswerte Befunde aus der Praxis der rechtsgeprägten Unternehmensbewertung in Aufgabenform. Knoll, Leonhard. 4th ed., W. University Press (ed.). University Press, Würzburg, 2024.
2023[ to top ]
  • Reliable route planning and time savings in real-world urban intermodal transportation networks: Evidence from Hamburg, Germany. Ruß, Matthias; Gust, Gunther. In Expert Systems with Applications, 227, p. 120196. Elsevier, 2023.
  • A Case-Individual Data-Driven Optimization Approach for Surgery Planning. Rottmann, Janine; Günder, Kai; Pibernik, Richard. In Under Review at OR Spectrum. 2023.
  • The Layers of Change: Multilevel Adaptations to Exogenous Game Patches in CS: GO. Elbert, Nico; Paskovski, Emil; Stein, Nikolai; Flath, Christoph M. In IEEE Conference on Games (CoG). 2023.
  • Essays on Risk Premiums derived from Credit Default Swap Spreads. Jopp, Thomas. 2023.
  • “Ghosting” im Handwerk – Warum Lehrlinge nicht zum Ausbildungsbeginn erscheinen. Greilinger, Andrea; Zwick, Thomas. In ZfkE – Zeitschrift für KMU und Entrepreneurship, 70(3-4), pp. 123–149. 2023.
  • Vertretbarkeit und Bagatellgrenze: Die Tücken der Unschärfe. Knoll, Leonhard. In Der Betrieb, 96, pp. 1428–1432. 2023.
  • Besser genau falsch als ungefähr richtig?. Knoll, Leonhard. In Der Konzern, 21, pp. 400–403. 2023.
  • 3D Analytics: Opportunities and Guidelines for Information Systems Research. Gust, Gunther; Brandt, Tobias; Koppius, Otto; Rosenfelder, Markus; Neumann, Dirk. In arXiv preprint arXiv:2308.08560. 2023.
  • Process and Strategy Mining in Real-Time Strategy Games. Elbert, Nico; Stein, Nikolai; Flath, Christoph M. In Wirtschaftsinformatik Proceedings. 2023.
  • What is the Minimum to Trust AI?—A Requirement Analysis for (Generative) AI-based Texts. Tomitza, Christoph; Schaschek, Myriam; Straub, Lisa; Winkelmann, Axel. In Wirtschaftsinformatik 2023 Proceedings, p. 35. 2023.
  • Squeeze Out und Eigentumsschutz: Wann beginnt das Problem?. Knoll, Leonhard. S. Behringer; F. Follert (eds.), pp. 207–218. Springer Gabler, Wiesbaden, 2023.
  • Unsicherheit und Risiko – Teil 2: Finanzökonomisches Basiswissen für Risikomanager und Geschäftsführer zur Krisennavigation. Knoll, Leonhard; Lorenz, Daniela; Eppler, Felix. In Zeitschrift für Risikomanagement, 4, pp. 88–95. 2023.
  • Towards Explainable Occupational Fraud Detection. Tritscher, Julian; Schlör, Daniel; Gwinner, Fabian; Krause, Anna; Hotho, Andreas. In Machine Learning and Principles and Practice of Knowledge Discovery in Databases. ECML PKDD 2022. Communications in Computer and Information Science, Vol. 1753, pp. 79–96. Springer Nature Switzerland, Cham, 2023.
  • Risiken von B2B Marktplätzen – Analyse am Fallbeispiel gemeinsamer Nutzung additiver Fertigungskapazitäten. Freichel, Chiara; Hofmann, Adrian; Marsch, Laura; Lorenz, Daniela; Winkelmann, Axel. In Betriebswirtschaftliche Forschung und Praxis (BFuP), 1, pp. 118–145. 2023.
  • Impact Of Explainable AI On Cognitive Load: Insights From An Empirical Study. Herm, Lukas-Valentin. In European Conference on Information Systems (ECIS). AIS, 2023.
  • Deep learning-enabled segmentation of ambiguous bioimages with deepflash2. Griebel, Matthias; Segebarth, Dennis; Stein, Nikolai; Schukraft, Nina; Tovote, Philip; Blum, Robert; Flath, Christoph M. In Nature Communications. 2023.
  • ENABLING UTXO-BASED BACKWARDS AND FORWARDS TRACEABILTY. Pytel, Norman; Zeiß, Christian; Winkelmann, Axel. In European Conference on Information Systems (ECIS). AIS, 2023.
  • Risiken von B2B Marktplätzen - Analyse am Fallbeispiel gemeinsamer Nutzung additiver Fertigungskapazitäten. Lorenz, Daniela; Freichel, Chiara; Hofmann, Adrian; Marsch, Laura; Winkelmann, Axel. In Betriebswirtschaftliche Forschung und Praxis (BFuP), 1, pp. 118–145. 2023.
  • Internationale Peer Group-Betas, Investorenperspektive und die Wahl des Marktportfolios in der objektivierten Unternehmensbewertung. Knoll, Leonhard. In Corporate Finance, 10(9), pp. 248–252. 2023.
  • Vertretbarkeit und Bagatellgrenze: Die Tücken der Unschärfe. Knoll, Leonhard; Kruschwitz, Lutz. In Der Betrieb, 96, pp. 1428–1432. 2023.
  • Unsicherheit und Risiko – Teil 2: Finanzökonomisches Basiswissen für Risikomanager und Geschäftsführer zur Krisennavigation. Lorenz, Daniela; Eppler, Felix; Knoll, Leonhard. In Zeitschrift für Risikomanagement, 4, pp. 88–95. 2023.
  • Unsicherheit und Risiko – Was Geschäftsleiter und Controller wissen sollten. Lorenz, Daniela; Eppler, Felix; Knoll, Leonhard; Gleißner, Werner. In Zeitschrift für Risikomanagement, 4, pp. 4–13. 2023.
  • Unsicherheit und Risiko – Was Geschäftsleiter und Controller wissen sollten. Knoll, Leonhard; Eppler, Felix; Lorenz, Daniela; Gleißner, Werner. In Zeitschrift für Risikomanagement, 4, pp. 4–13. 2023.
  • Information Value Analysis for Real-time Silo Fill-level Monitoring. Greif, Toni; Stein, Nikolai; Flath, Christoph M. In INFORMS Journal on Applied Analytics, 53(4), pp. 283–294. 2023.
  • Towards a Governance Model Design for blockchain-based Traceability Systems. Greiner, Maximilian; Zeiß, Christian; Lechner, UIrike; Winkelmann, Axel. In 18th International Conference on Design Science Research (DESRIST 2023). 2023.
  • Measuring Trustworthiness of AI Systems: A Holistic Maturity Model. Schaschek, Myriam; Engel, Sarah. In International Conference on Information Systems 2023. AIS, 2023.
  • Designing a Method to Nudge Analytics with Artificially Generated Data. Kowalczyk, Peter; Röder, Marco; Rottmann, Janine; Thiesse, Frédéric. In International Conference on Information Systems (ICIS). 2023.
  • Nudging Creativity in Digital Marketing with Generative Artificial Intelligence: Opportunities and Limitations. Kowalczyk, Peter; Röder, Marco; Thiesse, Frédéric. In European Conference on Information Systems (ECIS). 2023.
  • Prescriptive Analytics for a Multi-Shift Staffing Problem. Notz, Pascal M.; Wolf, Peter K.; Pibernik, Richard. In European Journal of Operational Research, 305(2), pp. 887–901. Elsevier, 2023.
  • A framework for implementing robotic process automation projects. Herm, Lukas-Valentin; Janiesch, Christian; Helm, Alexander; Imgrund, Florian; Hofmann, Adrian; Winkelmann, Axel. In Information Systems and e-Business Management, 21, pp. 1–35. Springer Science and Business Media LLC, 2023.
  • Berufsbiografien von Beschäftigten in Werkstätten für Menschen mit Behinderungen – eine Analyse auf Basis von Rentenversicherungsdaten. Zwick, Thomas; Hober, Marie; Kranert, Hans-Walter; Stein, Roland. In Zeitschrift für Heilpädagogik, 74(8), pp. 355–367. 2023.