Specifying cognitive solutions in complex informally structured domains: empirical approaches

The complexity of dealing with work-related stress as a Complex Informal Structured Domain (CISD) involves various social, technical, cultural, and scientific factors, which highlights the challenges posed by organizational decision-making and the need for cognitive solutions to improve understanding of such complex scenarios. The article discusses three empirical-theoretical approaches to conceptualizing and specifying cognitive solutions to real-world problems in CISD: A literature review examines the use of specific machine learning artificial algorithms to develop models for work stress prevention; the use of cognitive solutions as ontologies for explicit knowledge representation; and a systemic methodological framework that establishes a structured approach to conceptualization and specification. The exploration emphasizes the need for a methodological model that effectively supports these cognitive solutions, to improve organizational decision-making by leveraging systems thinking and knowledge management.