Browsing by Subject "Case study"

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Generative KI in der Finanzbranche: strategische, technologische und organisationale Implementierung am Beispiel der DZ BANK AG
(2025) Breiter, Katharina; Lohmann, Tobias; Stahl, Bastian; Zilmans, Carolin; Reischl-Lenz, Birgit; Gimpel, Henner
Generative Künstliche Intelligenz (KI) ist ein entscheidender Wertschöpfungsfaktor in der Finanzbranche, da sie bestehende Prozesse optimiert und neue Geschäftsmodelle ermöglicht. Während zahlreiche Forschungsbeiträge technische, soziale und ethische Aspekte generativer KI untersuchen, adressiert dieser Beitrag insbesondere die strategischen, technologischen und organisationalen Herausforderungen bei der Implementierung generativer KI. Anhand einer Fallstudie bei der DZ BANK AG wird untersucht, wie ein hybrider Plattformansatz eine strategisch fundierte Einführung generativer KI ermöglicht. Technologisch stellt die zentrale IT standardisierte und wiederverwendbare Komponenten bereit, während die Fachbereiche eigenständig KI-basierte Lösungen entwickeln und anpassen. Organisational erfordert dies eine enge Abstimmung zwischen zentraler Steuerung und dezentraler Nutzung, um sowohl Skalierbarkeit als auch Flexibilität zu gewährleisten. Ein iterativer Rollout in „Wellen“ kombiniert technologische Absicherung mit einer stufenweisen Integration in bestehende Geschäftsprozesse. Die Plattform bietet nicht nur eine kontrollierte und sichere Infrastruktur, sondern adressiert auch Herausforderungen wie regulatorische Anforderungen, Datenqualität und die notwendige Qualifikation der MitarbeiterInnen. Die Ergebnisse zeigen, dass der Plattformansatz technologische Komplexität reduziert und gleichzeitig organisationale Agilität fördert. Finanzunternehmen profitieren von kürzeren Entwicklungszyklen, einer effizienteren Prozessgestaltung und einer breiteren Einbindung der MitarbeiterInnen. Abschließend werden praxisorientierte Handlungsempfehlungen für eine erfolgreiche Implementierung generativer KI in der Finanzbranche abgeleitet.
Investigating potential transferability of place-based research in land system science
(2016) Václavík, Tomáš; Langerwisch, Fanny; Cotter, Marc; Fick, Johanna; Häuser, Inga; Hotes, Stefan; Kamp, Johannes; Settele, Josef; Spangenberg, Joachim H; Seppelt, Ralf
Much of our knowledge about land use and ecosystem services in interrelated social-ecological systems is derived from place-based research. While local and regional case studies provide valuable insights, it is often unclear how relevant this research is beyond the study areas. Drawing generalized conclusions about practical solutions to land management from local observations and formulating hypotheses applicable to other places in the world requires that we identify patterns of land systems that are similar to those represented by the case study. Here, we utilize the previously developed concept of land system archetypes to investigate potential transferability of research from twelve regional projects implemented in a large joint research framework that focus on issues of sustainable land management across four continents. For each project, we characterize its project archetype, i.e. the unique land system based on a synthesis of more than 30 datasets of land-use intensity, environmental conditions and socioeconomic indicators. We estimate the transferability potential of project research by calculating the statistical similarity of locations across the world to the project archetype, assuming higher transferability potentials in locations with similar land system characteristics. Results show that areas with high transferability potentials are typically clustered around project sites but for some case studies can be found in regions that are geographically distant, especially when values of considered variables are close to the global mean or where the project archetype is driven by large-scale environmental or socioeconomic conditions. Using specific examples from the local case studies, we highlight the merit of our approach and discuss the differences between local realities and information captured in global datasets. The proposed method provides a blueprint for large research programs to assess potential transferability of place-based studies to other geographical areas and to indicate possible gaps in research efforts.
Socio-economic evaluation of sunflower agri-food chains in Brazil in view of the potential implementation of innovative plant protein ingredients for human consumption
(2018) Sousa, Lucas Oliveira de; Berger, Thomas
This study aimed at performing a socio-economic analysis of an agri-food chain focused on a non-established crop in view of the potential implementation of food innovations, using sunflower agri-food chains in Brazil and upcoming sunflower high-quality food protein ingredients as a case study. Thus, fieldwork was carried out in the main sunflower-producing areas between April and August 2016 for data collection among sunflower chain agents from the input, farming, and processing segments, besides representatives from the research sector. Section 1 applied a multiple case study embedded design to describe and analyze the dynamics of operation of sunflower agri-food chains in Brazil. The analysis followed a theory-driven approach based on concepts from transaction costs economics and the social network approach. The findings indicated an environment of high transaction costs, in which the economic transactions are ruled by formal and relational governance structures, and made possible through knowledge diffusion, under the coordination of a processing company. Nevertheless, the sustainable long-term operation of the sunflower chains is constrained by typical limitations of non-established crops, such as restricted market structure, land use competition with well-established crops, and technological limitations regarding plant breeding, and control of pests and diseases. Moreover, Section 1 revealed that a farmer-led sunflower chain in the state of Mato Grosso (MT) stood out regarding the operational stability, suggesting a closer analysis of this farmers’ collective endeavor, which was performed in the subsequent section. Thus, Section 2 adopted a single case study embedded design to describe and analyze the establishment process of the leading Brazilian sunflower agri-food chain located in MT under the regime of farmers. The analysis followed a framework that regarded the agri-food chain establishment as an entrepreneurial process. The findings indicated that the process of establishment of this sunflower chain has been a complex social-economic endeavor stemming from a set of interconnected driving forces composed of entrepreneurial skills, social network, resource availability, and crop suitability. Furthermore, Section 2 suggested the existence of a supportive institutional environment for the establishment of new sunflower agri-food chains in MT among soybean farmers, besides indicating the need of examining the potential for sunflower production expansion in MT, which was the focus of the next section. Thus, Section 3 applied an integrated assessment approach that combines an agent-based model (ABM) with a crop growth model to investigate the potential for sunflower land use expansion in double-cropping systems prevailing in MT. The ABM was implemented using the software package Mathematical Programming-based Multi-Agent Systems (MPMAS), and the crop yields simulations were implemented using the process-based model for nitrogen and carbon in agro-ecosystems (MONICA). The findings indicated the existence of a potential for the expansion of the sunflower production in MT. Nevertheless, this potential is constrained by the distance between the producing areas and the processing facilities. Moreover, the simulations confirmed the land use competition between sunflower and maize, showing that sunflower land use is strongly associated with agents’ expectations regarding prices and yields of sunflower and maize. However, the results also revealed a complementary effect between these two crops due to the different water deficit tolerance of these crops. Section 3 also highlighted that the simulated potential production of sunflower would require further increases in the current processing capacity installed in MT. To conclude, the analyses performed in Sections 1, 2, and 3 indicated relevant aspects to be considered by innovators interested in implementing food innovations related to non-established crops. The scarcity of feedstock suppliers requires the adoption of contractual and relational governance structures coupled with the provision of technical assistance at the farming level. Moreover, farmers with a recognized professional and social reputation as well as leadership abilities play an important role in influencing other farmers to adopt a non-established crop. Finally, the suitability of the crop for the agricultural system prevailing in the region is essential for ensuring a minimum level of farmers’ willingness to adopt a non-established crop. In this regard, particular attention should be given to the land use competition with well-established crops.