SPARK – Structured Project Analysis for Research on AI Knowledge. Design Thinking, AI Agency and Organizational Learning
Project Description
This research project aims to systematically analyze AI integration in Design Thinking processes through a comprehensive literature review and the construction of a structured dataset from 40 currently unstructured Design Thinking project cases. The focus lies on understanding how different AI technologies are employed within Design Thinking methodologies and how AI agency manifests in organizational Design Thinking environments. AI agency refers to the degree of autonomy and collaborative capability that AI systems demonstrate when integrated into creative problem-solving processes. Building on rigorous empirical analysis and transparent methodological approaches, the project will transform dispersed, unstructured project data into a coherent, usable dataset that serves as a foundation for understanding AI integration in Design Thinking contexts. The literature review will provide theoretical grounding by synthesizing current knowledge on AI applications in innovation and creative problem-solving processes, while the dataset construction will offer empirical insights into real-world implementations. The resulting database will serve as a template for analyzing AI usage patterns in projects, examining AI agency development, and supporting organizational learning initiatives. Through systematic documentation and validation, this study contributes to both theoretical understanding of AIenhanced innovation methodologies and practical frameworks for implementing AI in educational and organizational contexts.
Relevance to Liechtenstein
The project makes an important contribution to strengthening Liechtenstein’s position in the digital innovation landscape by creating systematic knowledge about AI integration in design thinking processes. For Liechtenstein’s knowledge-intensive sectors—including fintech, education, and consulting—the ability to systematically leverage AI in design thinking processes represents a competitive advantage. Moreover, synergies emerge with existing initiatives such as the Erasmus+ project “Design Thinking for AI”, positioning the University of Liechtenstein as a research leader in AI-supported innovation methods.
Scientific, Economic and Societal Impact
The structured data foundation and methodological framework developed through this research provide a scientifically grounded basis for educational institutions, businesses, and public organizations to understand and optimize their use of AI in creative and problem-solving contexts. The project generates direct benefits by offering templates and frameworks that can be immediately applied in university programs, professional training initiatives, and organizational innovation processes.
