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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 ]
  • 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.
  • 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.
2025[ to top ]
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • Risk and Reward: Portfolio-based Dynamic Electricity Tariffs for Leveraging Demand-side Flexibility. Ameling, Justus; Gust, Gunther. 2025.
  • Towards a Deployment-Aware Machine Learning Lifecycle. Zall, Manuel; Thiesse, Frédéric. In European Conference on Information Systems (ECIS). 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.
  • 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.
  • 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.
  • 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.
  • A Case-Individual Data-Driven Optimization Approach for Surgery Planning. Rottmann, Janine; Günder, Kai; Pibernik, Richard. In OR Spectrum. Springer, 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.
2024[ to top ]
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • Process Mining for Game Analytics. Elbert, Nico; Flath, Christoph M. In 2024 IEEE Conference on Games (CoG), pp. 1–4. IEEE, 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.
  • 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.
  • 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.
  • For Those About to Rely—A Taxonomy of Experimental Studies on AI Reliance. Schaschek, Myriam; Spatscheck, Niko; Winkelmann, Axel. In Wirtschaftsinformatik 2024 Proceedings. 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.
  • 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.
  • Experts versus Novices: Analyzing Behavioral Variability in Complex Process Environments. Elbert, Nico; Flath, Christoph Michael. In Wirtschaftsinformatik 2024 Proceedings. 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 Effect of Delivery Time on Repurchase Behavior in Quick Commerce. Harter, Alice; Stich, Lucas; Spann, Martin. In Journal of Service Research. 2024.
  • De exemplis deterrentibus. Bemerkenswerte Befunde aus der Praxis der rechtsgeprägten Unternehmensbewertung in Aufgabenform. Knoll, Leonhard. W. U. Press (ed.). 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.
  • 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.
  • Experts versus Novices: Analyzing Behavioral Variability in Complex Process Environments. Elbert, Nico; Flath, Christoph Michael. In Wirtschaftsinformatik Proceedings. 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.
  • Squeeze-out by Shoot-out?. Knoll, Leonhard; Sekera-Terplan, Tino. In Betriebswirtschaftliche Forschung und Praxis, 76, pp. 393–413. 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.
  • 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.
  • 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.
  • Pay-What-You-Want. Spann, Martin; Stich, Lucas. In Elgar Encyclopedia of Pricing, pp. 166–167. Edward Elgar Publishing, 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.
  • Process Mining for Game Analytics. Elbert, Nico; Flath, Christoph M. In IEEE Conference on Games (CoG). 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
2023[ to top ]
  • 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.
  • 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.
  • 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.
  • Impact Of Explainable AI On Cognitive Load: Insights From An Empirical Study. Herm, Lukas-Valentin. In European Conference on Information Systems (ECIS). AIS, 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.
  • Vertretbarkeit und Bagatellgrenze: Die Tücken der Unschärfe. Knoll, Leonhard; Kruschwitz, Lutz. In Der Betrieb, 96, pp. 1428–1432. 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.
  • 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.
  • 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.
  • Measuring Trustworthiness of AI Systems: A Holistic Maturity Model. Schaschek, Myriam; Engel, Sarah. In International Conference on Information Systems 2023. AIS, 2023.