TY - JOUR A1 - Kremer, Marco A1 - Pohling, Lucas A1 - Gösling, Henning A1 - Heinbach, Christoph A1 - Sachweh, Timon A1 - Gogineni, Sonika A1 - Berger, Kolja T1 - An Intelligent Arrival Time Prediction Service in a Federated Data Ecosystem: The Minimum Viable Demonstrator of the GAIA-X 4 ROMS Research Project. JF - GAIA-X 4 ROMS Research Project. N2 - Reliable arrival and departure forecasts from transport service providers are now an important basis for the successful planning of operational work processes for many commercial enterprises. A lack of interoperability, data standards and interfaces for exchange on the one hand, and a lack of a basis for cooperation on the other, hinder the flow of data along the supply chain and thus the fulfillment of the customer's demand on transport service providers for reliable forecasts. The consortium research project "GAIA-X 4 ROMS" (Remote Operation for Automated and Connected Mobility Services), funded by the German Federal Ministry of Economics and Climate Protection, is developing the prototype of a novel value network for the intelligent fleet management of automated and connected vehicles in intermodal transport chains. Data and services, such as remote operation and planning services, are exchanged securely and sovereignly on the basis of a federated, decentrally organized data space. The innovative concept of Gaia-X for the design of federated data spaces will be used, which promises data sovereignty and standardized data exchange for all network participants. This paper presents the concept of the first Minimum Viable Demonstrator (MVD) of the research project. In the MVD, the principle functionality of the data space and the data exchange between participating network nodes via data connectors is to be demonstrated using the use case of arrival time forecasting for vehicle fleet operators. In the further course of the project, the forecast service developed for this purpose will form an elementary functional module for an AI-based planning tool for the dynamic real-time planning of road-based mobility services in public passenger transport as well as in commercial road freight transport. The paper concludes with the current challenges in implementing the innovative data space technologies in the MVD and the related outlook for the further course of the project. KW - Gaia-X KW - Data Space KW - Public Transport KW - Fleet Management KW - Data Sovereignty Y1 - 2023 ER - TY - JOUR A1 - von Keitz, Isabel A1 - Liening, Michael A1 - Wulf, Inge T1 - Berichterstattung über immaterielle Ressourcen gemäß der Richtlinie (EU) 2022/2464 JF - KoR Y1 - 2023 SN - 1617-8084 VL - 2023 IS - 7-8 SP - 296 EP - 308 ER - TY - JOUR A1 - Tallau, Christian A1 - Balz, Ulrich A1 - Perusso, Andre T1 - Berücksichtigung von ESG-Risiken bei der Kreditvergabe durch Banken JF - Die Steuerberatung Y1 - 2023 SN - 0490-9658 IS - 3/2023 SP - 109 EP - 114 ER - TY - JOUR A1 - Paulat, Thomas A1 - Perusso, Andre A1 - Tallau, Christian T1 - Berücksichtigung von ESG-Risiken im Kreditprozess für Firmenkunden JF - Die Bank Y1 - 2023 SN - 0342-3182 VL - 2 IS - 2023 SP - 42 EP - 47 ER - TY - JOUR A1 - Tallau, Christian A1 - Balz, Ulrich A1 - Perusso, Andre T1 - Berücksichtigung von ESG-Risiken im Kreditprozess für Firmenkunden: Studie belegt vielfältige methodische und prozessuale Aufgaben. JF - Die Bank Y1 - 2023 SN - 0342-3182 SP - 18 EP - 23 ER - TY - GEN A1 - Damwerth, Philipp A1 - Bach, Norbert A1 - Buchholz, Wolfgang T1 - Build to last: An analysis of the impact of founding conditions on ecosystem emergence Y1 - 2023 ER - TY - CHAP A1 - Patrzek, Katrin A1 - Herzog, Rainer A1 - Buchmüller, Christoph A1 - Mehrings, Jos T1 - Bürgerliches Recht für Studium und Praxis - digital T2 - Bürgerliches Recht für Studium und Praxis - digital Y1 - 2023 SN - 978-3-8006-7081-9 U6 - https://doi.org/10.15358/9783800670826 SP - 277 EP - 415 PB - Vahlen ER - TY - BOOK A1 - Schmidt, Alexander Lennart A1 - Lahme-Hütig, Norman A1 - Trabucchi, Daniel A1 - Petzold, Neele T1 - Challenges in Studying Multi-Sided Disruptive Platforms: Combining Topic Modeling with Qualitative Content Analysis N2 - This research case study presents a novel way to study the development and growth of a multi-sided disruptive platform built on digital technologies. The corresponding business model unfolds industry-changing dynamics eventually changing competition logic in established markets. Despite the appeal of those models, developing and managing such a multi-sided disruptive platform is challenging because multiple platform sides need to be strategically aligned to develop along a disruptive path. Hence, scholars and practitioners are increasingly debating about the dynamics arising in the development and growth of such platforms. The focal case study discusses a research project which contributes to those debates: This case study discusses how we used topic modeling and qualitative content analysis to make sense of a large amount of historical data from and about multiple platform sides to understand the strategic management and alignment mechanisms that unfolded over time. We discuss how we studied an entrant that was spun off from an established catalog retailer and is steering a multi-sided disruptive platform in the German fashion retail industry. We present how we faced the challenges of collecting data from multiple platform sides and how we used topic modeling to overcome data asphyxiation (i.e. difficulties in making sense of an overwhelming amount of qualitative data). Readers of this case study are equipped with practical insights about a) studying the development of multi-sided platforms over time, and b) using topic modeling and qualitative content analysis as complementing methodological approaches. KW - business models, disruptive innovation, journals, mechanisms, teams Y1 - 2023 SN - 9781529669312 U6 - https://doi.org/10.4135/9781529669312 PB - Sage Publications, Inc. CY - London ER - TY - JOUR A1 - Gerke, Daria-Maria A1 - Uude, Katrin A1 - Kliewe, Thorsten T1 - Co-creation and societal impact: Toward a generic framework for research impact assessment JF - Co-creation and societal impact: Toward a generic framework for research impact assessment Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:836-opus-186759 UR - https://journals.sagepub.com/doi/full/10.1177/13563890231195906 ER - TY - GEN A1 - Damwerth, Philipp A1 - Bach, Norbert A1 - Buchholz, Wolfgang A1 - Rosculete, Maria-Ana T1 - Collective dynamic capabilities in innovation ecosystems - an analysis of the multi-actor process Y1 - 2023 ER -