Hieronymi, AndreasAndreasHieronymi2023-04-132023-04-132019https://www.alexandria.unisg.ch/handle/20.500.14171/99304Complex problem solving is one of the most important skills required for the future. However, there is a lack of theory-based approaches to problem-solving in complex situations. This explorative study aims to develop a general problem-solving model for complex situations that is theoretically solid, practical, as well as empirically testable. This problemsolving model is designed for its application across disciplines, such as management, innovation, research and consensus-building. The result encompasses three artifacts: a process model with twelve phases, a context model to classify complex situations, and a report guide with sample cases. The approach is based on systems research, design-based research and methodological triangulation. Within the scope of this study, methods were used exploratively and were partially developed further in order to test statements of the postulated phase model with qualitative, quantitative and comparative methods. As part of the study, people were interviewed about an optimal sequence of problem-solving phases (stages); participants sorted predefined problem-solving phases (stages) according to different context conditions and numerous phase models were collected and compared in regard to their phases. The developed model has a modular structure and can be adapted to specific situations by either omitting phases or emphasizing them more strongly. The developed approach provides the foundation for further research, especially regarding comprehensibility, applicability and knowledge transfer.deProblemlösenKooperatives VerhaltenKomplexitätEDIS-4892Moderationsystems thinkinggroup facilitationKooperative EntscheidungsfindungchangeVeränderungmulti-stakeholder decision makingSystemdenkenKognitionswissenschaftKomplexes ProblemlöseninnovationInnovationComplex problem solvingdoctoral thesis