Browsing by Subject "Case study"

Now showing 1 - 4 of 4

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.
Stakeholder perspectives on the contribution of digital technologies to improve the sustainability of fruit production – a case study on the Lake Constance region in Germany
(2024) Gaber, Kirsten; Bieling, Claudia
Fruit cultivation is facing numerous sustainability challenges including climate change, weather extremes, and societal pressures surrounding the use of agricultural inputs. The value of fruit cultivation extends beyond the production of food, as the places of production are regionally important for ecology, recreation, tourism, and socio-cultural values; thus, sustainability issues threaten not only the future production of fruit, but also the cultural landscape as such. Digitalization in agriculture is progressing at a rapid pace and is frequently heralded as a solution to the current pressures surrounding modern food production. Increased productivity, efficiency gains, and improved transparency along the food value chain, enabled through the implementation of digital technologies, may lead to environmental and socio-economic benefits. Meanwhile, a divide is growing between supporters of digitalization and skeptics who are concerned with the technologies and their short- and long-term impacts. Digital solutions are not always suitable across agricultural sectors and regions due to differences in crop management activities, land-use types (e.g. perennial crop area like orchards versus arable land area for temporary crops), and physical barriers and infrastructure. At the face of these challenges and the rapid development of digitalization, stakeholder perceptions regarding the influence of digitalization on the sustainability of fruit cultivation must be understood in order to enable a sustainable further development of digital technologies. Particular to the case study region of this dissertation, the Lake Constance region in southern Germany, research on stakeholder perspectives at the interface of sustainability in fruit production and digitalization does not exist. There is a large knowledge gap regarding the attitudes and practical understandings of the stakeholders impacted by the digital transformation of fruit cultivation, as well as what measures are required to support a more user-oriented development. Technology development without the consideration of barriers, user abilities, and user expectations may lead to an imbalanced transformation that may favour certain agricultural sectors, farm sizes, or production systems over others, which may consequently create a regional, demographic, and/or sectoral digital divide. To this end, this cumulative doctoral work sought to explore the knowledge and views of stakeholders regarding the contribution of digital technologies to improve the sustainability of fruit production by using an empirical and qualitative case-study approach within the setting of sustainability research. The case-study region was the Lake Constance region in Germany, characterized by organic and integrated production (IP) fruit production on small- to medium-sized family farms. This region is the second-largest fruit growing area in the country and plays a critical role in the regional, national, and international food supply. The research questions that have guided this doctoral thesis are as follows: (1) What is the state of the art on digital technologies in fruit production? (2) How do stakeholders perceive digitalized fruit production, adoption and barriers to adoption of the technologies, and do these perceptions differ based on production system or farm size? (3) Do farmers (and other stakeholders) believe that digital technologies can tackle the environmental and social/societal sustainability challenges of fruit production, in both conventional and organic production, and if yes, how? In order to answer these questions, the author comprehensively reviewed over 200 digital tools that can be used by farms in the context of fruit production and conducted a qualitative analysis of 34 interviews with stakeholders along the fruit value chain. The three research articles that form the basis of this cumulative dissertation synergistically answer these questions through the research findings and surrounding scientific literature-based discussions. Overall, the development of digital tools for this case study region appears to be unsuitable and knowledge on digitalization is uneven. Based on the findings, opportunities for technological development to overcome reported barriers and therefore support a user-oriented transformation include the development of tools that are cost-efficient, such as tools with multifunctionalities or that are hireable services, and that offer technical support in the local language. Marketing of technologies must be improved, as misguided marketing and inadequate information in the fruit sector may hinder implementation. Political frameworks should prioritize supporting the inclusion of small farms and equal efforts for development and implementation across production systems. The reduction of agricultural inputs and lack of societal acceptance of agriculture were the most frequently reported sustainability challenges for regional fruit production. Stakeholders believed both environmental and socio-economic challenges could be mitigated by digitalization in fruit production, particularly through increased efficiency and improved transparency. However, perceptions of digitalization’s chances and challenges varied among individuals, fruit production systems, and farm sizes. Furthermore, the majority of stakeholders believed that digitalization could change the public opinion about fruit production, either through on-farm use of the technologies or through improved transparency along the value chain. Both pathways were reported to potentially create positive or negative impacts; for instance, more transparency can lead to improved trust between farmers and consumers, but could also de-romanticize expectations or contradict the idea of naturalness in agriculture, especially in the case of organic farming. The discourse surrounding the use of digital technologies in fruit farming may be more influential on public opinion than their actual implementation. According to stakeholders in the Lake Constance region, digitalized technologies can be used as tools to mitigate urgent sustainability challenges in fruit cultivation, but are not a cure-all solution. These technologies must be considered with caution, as they also risk worsening sustainability issues, particularly related to power inequalities and the growth paradigm of greater productivity and efficiency. Therefore, a reprioritization of digitalization focusing on mitigating urgent sustainability issues is required. This should include the supported development and implementation of user-driven technological design, hybrid (human-technological) intelligence for fruit cultivation tasks, and tools that prioritize building trust towards farmers and maintaining their autonomy. Future transdisciplinary research approaches are encouraged in order to meet many of the provided recommendations from this dissertation, such as enabling collaborative technology- and research design, improving foundational knowledge of involved groups through capacity-building measures like trainings, and building trust between actor groups. The results of this work will inform policy makers, researchers, and technology developers to support the fruit production sector to overcome current and future sustainability issues and enable fair, informed participation in the digital transformation of agriculture.