English Intern
  • Eingang der Universität am Sanderring
  • Eingang der Universität am Sanderring
  • Fahne der Wirtschaftswissenschaftlichen Fakultät
  • Eingang der Universität am Sanderring
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 ]
  • 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 Knowledge Discovery in Databases ECML PKDD 2023 Communications in Computer and Information Science, vol 1167. Springer, Cham. forthcoming.
2024[ to top ]
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • Experts versus Novices: Analyzing Behavioral Variability in Complex Process Environments. Elbert, Nico; Flath, Christoph Michael. In Wirtschaftsinformatik Proceedings. 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.
  • Pay-What-You-Want. Spann, Martin; Stich, Lucas. In Elgar Encyclopedia of Pricing, pp. 166–167. 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.
  • 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.
  • 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.
  • Name-Your-Own-Price. Spann, Martin; Stich, Lucas. In Elgar Encyclopedia of Pricing, A. Hinterhuber (ed.), pp. 138–139. Edward Elgar Publishing, 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • For Those About to Rely—A Taxonomy of Experimental Studies on AI Reliance. Schaschek, Myriam; Spatscheck, Niko; Winkelmann, Axel. In Wirtschaftsinformatik 2024 Proceedings. 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.
2023[ to top ]
  • Welcome to the Era of ChatGPT et al. Teubner, Timm; Flath, Christoph Michael; Weinhardt, Christof; van der Aalst, Wil; Hinz, Oliver. In Business & Information Systems Engineering, 65, pp. 95–101. 2023.
  • Towards designing an AI-based conversational agent for on-the-job training of customer support novices. Reinhard, Philipp; Wischer, Dennis; Verlande, Lisa; Neis, Nicolas; Li, Mahei Manhai. In International Conference on Design Science Research (DESRIST). Pretoria, South Africa, 2023.
  • Stop Ordering Machine Learning Algorithms by their Explainability! A User-Centered Investigation of Performance and Explainability. Herm, Lukas-Valentin; Heinrich, Kai; Wanner, Jonas; Janiesch, Christian. In International Journal of Information Management, 69, p. 102538. 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.
  • 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.
  • “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.
  • 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.
  • A Case-Individual Data-Driven Optimization Approach for Surgery Planning. Rottmann, Janine; Günder, Kai; Pibernik, Richard. In Under Review at OR Spectrum. 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • Measuring Trustworthiness of AI Systems: A Holistic Maturity Model. Schaschek, Myriam; Engel, Sarah. In International Conference on Information Systems 2023. 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.
  • ENABLING UTXO-BASED BACKWARDS AND FORWARDS TRACEABILTY. Pytel, Norman; Zeiß, Christian; Winkelmann, Axel. In European Conference on Information Systems (ECIS). AIS, 2023.
2022[ to top ]
  • Industry 4.0 Maintenance: An Examination Of The Readiness Of Germany’s Industrial Sector. Wanner, Jonas; Herm, Lukas-Valentin; Fuchs, Kevin; Janiesch, Christian; Winkelmann, Axel. In 24st IEEE Conference on Business Informatics (CBI). IEEE, Amsterdam, 2022.
  • Ziele und Gestaltung digitaler Plattformen für Produktionsnetzwerke. Freichel, Chiara; Steegmans, Timo-Christian; Winkelmann, Axel. In HMD – Praxis Der Wirtschaftsinformatik, 59, pp. 1281–1311. 2022.
  • Detecting and Understanding Textual Deepfakes in Online Reviews. Kowalczyk, Peter; Röder, Marco; Dürr, Alexander; Thiesse, Frédéric. In Proceedings of the Annual Hawaii International Conference on System Sciences, pp. 1480–1489. Hawaii International Conference on System Sciences, 2022.
  • The retention effect of training: portability, visibility, and credibility. Zwick, Thomas; Dietz, Daniel. In International Journal of Human Resource Management, 33(4), pp. 714–741. 2022.
  • Leveraging Electronic Health Records to improve Patient Appointment Scheduling: A design-oriented Approach. Rottmann, Janine; Stein, Nikolai. In International Conference on Information Systems (ICIS). 2022.
  • A Nascent Design Theory for Explainable Intelligent Systems. Herm, Lukas-Valentin; Steinbach, Theresa; Wanner, Jonas; Janiesch, Christian. In Electronic Markets, 32(4), pp. 2079–2102. 2022.
  • TRACING DOWN THE VALUE OF CO-CREATION IN FEDERATED AI ECOSYSTEMS. Röder, Marco; Kowalczyk, Peter; Thiesse, Frédéric. In European Conference on Information Systems (ECIS). 2022.
  • Beware of the Employer: Financial Incentives for Employees May Fail to Prolong Old-Age Employment. Zwick, Thomas; Lorenz, Svenja; Bruns, Mona. In Journal of the Economics of Ageing, 21. 2022.
  • A Taxonomy of User-centered Explainable AI Studies. Herm, Lukas-Valentin; Wanner, Jonas; Janiesch, Christian. In 25th Pacific Asia Conference on Information Systems (PACIS), pp. 1–17. AIS, AIS Virtual Conference Series, 2022.
  • Applications and Challenges of Task Mining: A Literature Review. Mayr, Alexander; Herm, Lukas-Valentin; Wanner, Jonas; Janiesch, Christian. In 30th European Conference on Information Systems (ECIS). AIS, Timișoara, 2022.
  • A Social Evaluation of the Perceived Goodness of Explainability in Machine Learning. Wanner, Jonas; Herm, Lukas-Valentin; Heinrich, Kai; Janiesch, Christian. In Journal of Business Analytics, 5(1), pp. 29–50. 2022.
  • The Effect of Transparency and Trust on Intelligent System Acceptance: Evidence from a User-based Study. Wanner, Jonas; Herm, Lukas-Valentin; Heinrich, Kai; Janiesch, Christian. In Electronic Markets, 32(4), pp. 2185–2205. 2022.
  • The Role of Labor Demand in the Labor Market Effects of a Pension Reform. Geyer, Johannes; Haan, Peter; Lorenz, Svenja; Zwick, Thomas; Bruns, Mona. In Industrial Relations, 6, pp. 152–192. 2022.
  • Paying for Open Access. Stich, Lucas; Spann, Martin; Schmidt, Klaus M. In Journal of Economic Behavior & Organization, 200, pp. 273–286. 2022.
  • Open ERP System Data For Occupational Fraud Detection. Tritscher, Julian; Gwinner, Fabian; Schlör, Daniel; Krause, Anna; Hotho, Andreas. In arxiv. 2022.
  • Der Einfluss von menschlichen Denkmustern auf künstliche Intelligenz: Eine strukturierte Untersuchung von kognitiven Verzerrungen. Herm, Lukas-Valentin; Janiesch, Christian; Fuchs, Patrick. In HMD - Praxis der Wirtschaftsinformatik, 59(2), pp. 556–571. 2022.
  • Predictive End-to-End Enterprise Process Network Monitoring. Oberdorf, Felix; Schaschek, Myriam; Weinzierl, Sven; Stein, Nikolai; Matzner, Martin; Flath, Christoph M. In Business & Information Systems Engineering. 2022.
  • Prescriptive Analytics for Flexible Capacity Management. Notz, Pascal M.; Pibernik, Richard. In Management Science, 68(3), pp. 1756–1775. 2022.
  • An Architecture Using Payment Channel Networks for Blockchain-based Wi-Fi Sharing. Janiesch, Christian; Fischer, Marcus; Imgrund, Florian; Hofmann, Adrian; Winkelmann, Axel. In ACM Transactions on Management Information Systems. Association for Computing Machinery (ACM), 2022.
  • Towards Understanding the Skill Gap in Cybersecurity. Goupil, Francois; Laskov, Pavel; Felderer, Michael; Dürr, Alexander; Thiesse, Frédéric. In ITiCSE ’22: Proceedings of the 27th ACM Conference on on Innovation and Technology in Computer Science Education, 1, pp. 477–483. 2022.
  • Early Retirement of Employees in Demanding Jobs: Evidence from a German Pension Reform. Zwick, Thomas; Bruns, Mona; Geyer, Johannes; Lorenz, Svenja. In Journal of the Economics of Ageing, 22. 2022.
2021[ to top ]
  • Process Selection for RPA: A Holistic Approach. Hofmann, Adrian; Prätori, Tobias; Seubert, Franz; Wanner, Jonas; Fischer, Marcus; Winkelmann, Axel. In Robotic Process Automation – Management, Technology, Applications, C. Czarnecki, P. Fettke (eds.). De Gruyter Oldenbourg, 2021.
  • A Source-Code-Based Taxonomy for Ethereum Smart Contracts. Hofmann, Adrian; Kolb, Julian; Becker, Luc; Winkelmann, Axel. In ICIS 2021 Proceedings. 2021.
  • A Decentralized Marketplace for Collaborative Manufacturing. Hofmann, Adrian; Freichel, Chiara; Winkelmann, Axel. In 29th European Conference on Information Systems (ECIS). 2021.
  • Sharing Economy in der Industrie – Unternehmensübergreifende Auslastung von Produktionskapazitäten am Beispiel der additiven Fertigung. Winkelmann, Axel; Flath, Christoph M.; Thiesse, Frédéric. Springer Gabler, Wiesbaden, 2021.
  • Catch me if You Scan: Data-Driven Prescriptive Modeling for Smart Store Environments. Hauser, Matthias; Flath, Christoph M.; Thiesse, Frederic. In European Journal of Operational Research, 294(3), pp. 860–873. 2021.
  • Developing a Taxonomy for Digital Platforms – A Conceptual Approach. Freichel, Chiara; Fieger, Julius; Winkelmann, Axel. In Proceedings of the 54th Hawaii International Conference on System Sciences, pp. 5779–5788. 2021.
  • What can the maker movement teach us about the digitization of creativity?. Friesike, Sascha; Thiesse, Frédéric; Kuk, George. In Communications of the ACM, 64(3), pp. 42–45. Association for Computing Machinery (ACM), 2021.
  • On the Composition of the Long Tail of Business Processes: Implications from a Process Mining Study. Fischer, Marcus; Hofmann, Adrian; Imgrund, Florian; Janiesch, Christian; Winkelmann, Axel. In Information Systems, Volume 97(101689). 2021.
  • Designing a Decision Support Tool to Improve the Recyclability of Plastic Products. Prätori, Tobias; Pytel, Norman; Winkelmann, Axel. In Proceedings of the 16th International Conference on Wirtschaftsinformatik. 2021.
  • Exploring Information Systems Curricula. Föll, Patrick; Thiesse, Frédéric. In Business & Information Systems Engineering, 63(6), pp. 711–732. Springer Science and Business Media LLC, 2021.
  • From Symbolic RPA to Intelligent RPA: Challenges for Developing and Operating Intelligent Software Robots. Herm, Lukas-Valentin; Janiesch, Christian; Reijers, Hajo A.; Seubert, Franz. In 19th International Conference on Business Process Management. Lecture Notes in Computer Science, Vol. 12875, pp. 289–305. Springer, Roma, 2021.