Publikationsserver der Technischen Hochschule Augsburg
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Mit Partizipation wirkungsvoll gestalten – Identifikation realer Bedarfe unter Einbindung vielfältiger Perspektiven
No full textGenerative AI as a Catalyst for Business Model Innovation in Complex Environments
No full textRecent advancements in Artificial Intelligence (AI), particularly with the publication of OpenAI's ChatGPT, have highlighted the transformative potential of generative AI (GAI) in private and business contexts. GAI tools, capable of generating new content such as text, images, and audio from training data, are increasingly used as human assistants for innovation tasks. Furthermore, the technology is increasingly applied to solve complex tasks. Within modern business environments, where these complexities are significant influences, GAI tools act as crucial drivers for business model innovation. This research systematically analyses existing literature and employs a mixed-methods approach to empirically assess the impact of GAI tools on business model innovation occurring in complex environments. Furthermore, an intensive experiment involving ten students developing an innovative service for the context of stationary retail was conducted. Here, the goal was to develop a functioning business model, along a three-month development process including theoretical input in workshop settings. Findings from qualitative observations, prompt analyses, and a quantitative survey reveal that GAI significantly fosters creativity and innovation, especially during ideation and prototype development. However, traditional creativity methods need adaptation for effective integration with GAI. These tools also enhance decision-making by allowing innovators to navigate these complex environments, although some constraints still exist. Future experiments in controlled settings like Living Labs are recommended to ensure validity, particularly in the dynamic stationary retail sector. Addressing limitations such as sample size and validating traditional creativity methods for GAI application is essential for future experiments. In conclusion, GAI tools significantly enhance business model innovation, but human collaboration remains essential for addressing external complexities and fostering creativity, ensuring cohesive decision-making
Rest-Stickstoff-EIimination aus gereinigtem Abwasser im Bypass. Ein modifiziertes Verfahren mit Wirbelschwebebett-Technologie
No full textAn Open Platform for Building Information Modeling (BIM) Education: Conceptual Framework and Potential Impact
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Exploring Predictors of AI Chatbot Usage Intensity Among Students: Within- and Between-Person Relationships Based on the Technology Acceptance Model
No full textEffect of the Fibre Volume Content on the Machinability and Surface Integrity in Grinding C/C-SiC Composites
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