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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

2026[ to top ]
  • When text is not enough: Data-driven personas to explore crypto education affordances through learning platform analysis and survey insights. Straub, Lisa; Zeiß, Christian; Pehl, Justus; Greiner, Maximilian; Winkelmann, Axel; Lechner, Ulrike. In Electronic Markets, 36(11). 2026.
  • Bridging Systems Theory and Information Systems: A Framework for Designing Complex Information Systems. Ibrahimli, Ulvi; Hemmrich, Simon; Winkelmann, Axel. In Communications of the Association for Information Systems, 58(1). 2026.
  • Interpretable Prosumer Load Forecasting via Physics-Informed Kolmogorov-Arnold Networks. Derzbach, Robin; Pham, Anh-Duy; Dhakal, Aabhash; Flath, Christoph M. In Proceedings of the 17th ACM International Conference on Future and Sustainable Energy Systems. ACM, 2026.
  • Beyond Elo: Improving Matchmaking Using the Team Player Effect. Elbert, Nico; Klockmann, Victor; Kosse, Fabian; von Schenk, Alicia; Stein, Nikolai; Flath, Christoph M. In IEEE Transactions on Games, pp. 1–14. 2026.
  • Risk and reward: evaluating household energy storage for optimizing demand-side flexibility under dynamic tariffs. Ameling, Justus; Derzbach, Robin Thomas; Gust, Gunther; Flath, Christoph Michael. In Energy Informatics. 2026.
2025[ to top ]
  • Belief-Aware Inventory Control with Deep Mixture Models. Beck, Moritz; Pham, Anh-Duy. In NeurIPS 2025 Workshop MLxOR: Mathematical Foundations and Operational Integration of Machine Learning for Uncertainty-Aware Decision-Making. 2025.
  • 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, 2025.
  • Beyond Play: Competitive Game Data as an Empirical Resource for IS Research. Elbert, Nico; Stein, Nikolai; Flath, Christoph M. In Proceedings of the International Conference on Information Systems. 2025.
  • Matchmaking Beyond Elo: Why Teams are More Than the Sum of Individual Skill. Elbert, Nico; Flath, Christoph M; Klockmann, Victor; Kosse, Fabian; von Schenk, Alicia; Stein, Nikolai. In 2025 IEEE Conference on Games (CoG), pp. 1–8. IEEE, 2025.
  • Failing to See the Obvious? How Financial Crypto Literacy Shapes the Future of FinTech Platforms in the Disruptive Blockchain Era. Zeiß, Christian. In 31st Americas Conference on Information Systems (AMCIS) Proceedings. 2025.
  • A Deep Demand Response Program for Local Electricity Systems. Arlt, Marie-Louise; Gust, Gunther; Neumann, Dirk. In Production and Operations Management, p. 10591478251363654. SAGE Publications Sage CA: Los Angeles, CA, 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.
  • Exploring trust in decentralized finance intermediaries: a taxonomy and archetypes for guiding blockchain-based investment decisions on the web. Zeiß, Christian; Straub, Lisa; Greiner, Maximilian; Neis, Marcel; Neis, Nicolas; Winkelmann, Axel; Lechner, Ulrike. In Internet Research, 35(7), pp. 133–152. 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.
  • Assessing Electricity Customers Using Procurement Cost Metrics: A Data-Driven Framework for Modeling Tariff-Driven Behavior. Derzbach, Robin Thomas; Flath, Christoph Michael. In Proceedings of the 16th ACM International Conference on Future and Sustainable Energy Systems. ACM, 2025.
  • Lost in Possibilities: A Literature Review Toward Archetypes of GenAI-Based Tools for Innovation Processes. Straub, Lisa; Zeiß, Christian; Nganga, Mary-Anne; Winkelmann, Axel. In WI 2025 Proceedings. 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.
  • AI-assisted phenotyping in a zebrafish hypophosphatasia model enables early and precise detection of skeletal alterations. Hark, Regina; Z"urlein, Simon; Nguyen, Viet T; Gust, Gunther; Hekel, Lukas; Liedtke, Daniel. In Scientific Reports, 15(1), p. 32578. Nature Publishing Group UK London, 2025.
  • A case-individual data-driven optimization approach for surgery planning. Rottmann, Janine; Günder, Kai; Pibernik, Richard. In OR Spectrum. 2025.
  • Predictive inference is really free with in-context learning. Mukherjee, Sohom; Antonov, Ivane; Günder, Kai; Maichle, Magnus Josef. In ICLR Workshop: Quantify Uncertainty and Hallucination in Foundation Models: The Next Frontier in Reliable AI. 2025.
  • A Case-Individual Data-Driven Optimization Approach for Surgery Planning. Rottmann, Janine; Günder, Kai; Pibernik, Richard. In OR Spectrum. Springer, 2025.
  • 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.
  • Motivating the Crowd: Theoretical and Practical Insights into Participant Dynamics in Innovation Crowdsourcing. Straub, Lisa. In 31st Americas Conference on Information Systems (AMCIS) Proceedings. 2025.
  • 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. 2025.
  • Towards a Deployment-Aware Machine Learning Lifecycle. Zall, Manuel; Thiesse, Frédéric. In European Conference on Information Systems (ECIS). 2025.
  • Risk and Reward: Portfolio-based Dynamic Electricity Tariffs for Leveraging Demand-side Flexibility. Ameling, Justus; Gust, Gunther. 2025.
2024[ to top ]
  • Squeeze-out by Shoot-out?. Knoll, Leonhard; Sekera-Terplan, Tino. In Betriebswirtschaftliche Forschung und Praxis, 76, pp. 393–413. 2024.
  • Experts versus Novices: Analyzing Behavioral Variability in Complex Process Environments. Elbert, Nico; Flath, Christoph Michael. In Wirtschaftsinformatik 2024 Proceedings. 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.
  • 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.
  • 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 Effects of Generative AI’s Human-Like Competencies on Clinical Decision-Making. Spatscheck, Niko; Schaschek, Myriam; Winkelmann, Axel. In Journal of Decision Systems. 2024.
  • Spatio-temporal Pricing and Fleet Management under Mixed Autonomy. Ubeda, Ignacio; Gust, Gunther. 2024.
  • Challenges and Outcomes Using Big Data as a Service. Srivastava, Gautam; Flath, Christoph M.; Lin, Jerry Chun-Wei; Zhang, Yudong. In Business & Information Systems Engineering, 66(1), pp. 1–2. 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.
  • 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(3), pp. 475–485. 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.
  • Design of an Explainable Input Control for Cross-Company Federated Learning. Düsing, Christoph; Röder, Marco; Thiesse, Frédéric; Cimiano, Philipp. In European Conference on Information Systems (ECIS). 2024.
  • The Effect of Delivery Time on Repurchase Behavior in Quick Commerce. Harter, Alice; Stich, Lucas; Spann, Martin. In Journal of Service Research. 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.
  • For Those About to Rely—A Taxonomy of Experimental Studies on AI Reliance. Schaschek, Myriam; Spatscheck, Niko; Winkelmann, Axel. In Wirtschaftsinformatik 2024 Proceedings. 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.
  • 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.
  • De exemplis deterrentibus. Bemerkenswerte Befunde aus der Praxis der rechtsgeprägten Unternehmensbewertung in Aufgabenform. Knoll, Leonhard. W. U. Press (ed.). 2024.
  • Framework for Extracting Real-World Object-Centric Event Logs from Game Data. Liss, Lukas; Elbert, Nico; Flath, Christoph M.; van der Aalst, Wil M. P. In ICPM Workshops, pp. 363–375. 2024.
  • Framework for Extracting Real-World Object-Centric Event Logs from Game. Liss, Lukas; Elbert, Niklas; Flath, Christoph M. In Process Mining Workshops: ICPM 2024 International Workshops. Lyngby, Denmark, 2024.
  • Process Mining for Game Analytics. Elbert, Nico; Flath, Christoph M. In 2024 IEEE Conference on Games (CoG), pp. 1–4. IEEE, 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.
  • 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.
  • 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.
  • 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.
  • 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, Frédéric. In Journal of Retailing, 100(3), pp. 475–485. Elsevier BV, 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • Process Mining for Game Analytics. Elbert, Nico; Flath, Christoph M. In IEEE Conference on Games (CoG). 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.
  • 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.
  • 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.
  • Pay-What-You-Want. Spann, Martin; Stich, Lucas. In Elgar Encyclopedia of Pricing, pp. 166–167. Edward Elgar Publishing, 2024.
  • Die ewige Rente zwischen Sollen, Wollen und Können: steuerliche Neutralität bei wertrelevantem Wachstum. Knoll, Leonhard. In Der Konzern, 22, pp. 283–292. 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.
  • Experts versus Novices: Analyzing Behavioral Variability in Complex Process Environments. Elbert, Nico; Flath, Christoph Michael. In Wirtschaftsinformatik Proceedings. 2024.
  • Name-Your-Own-Price. Spann, Martin; Stich, Lucas. In Elgar Encyclopedia of Pricing, A. Hinterhuber (ed.), pp. 138–139. Edward Elgar Publishing, 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.
  • 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.
  • Automated feeder routing for underground electricity distribution networks based on aerial images. Ameling, Justus; Gust, Gunther. In European Journal of Operational Research. Elsevier, 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.
2023[ to top ]
  • 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.
  • 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.
  • Measuring Trustworthiness of AI Systems: A Holistic Maturity Model. Schaschek, Myriam; Engel, Sarah. In International Conference on Information Systems 2023. AIS, 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.
  • 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.
  • 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.
  • Impact Of Explainable AI On Cognitive Load: Insights From An Empirical Study. Herm, Lukas-Valentin. In European Conference on Information Systems (ECIS). AIS, 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.