| Título | A context-sensitive approach for variability analysis in complex sociotechnical systems |
|---|---|
| Tipo | Artigo em Periódico Científico |
| Abstract | Performance variability is inherent to sociotechnical systems and can lead to both effective adaptations and unwanted outcomes. This study proposes a context-sensitive framework for identifying and prioritizing interventions by analyzing how contextual factors influence variability. The key contribution of this approach lies in the integration of Ergonomic Work Analysis (EWA), the Functional Resonance Analysis Method (FRAM), and Fuzzy Set Theory to support structured, prospective decision-making in complex environments. The framework preserves the qualitative depth of traditional FRAM modeling while enabling quantitative sensitivity analysis of contextual influences. This dual capacity allows for the identification of critical activities and the contextual conditions that most affect system performance. A case study in the healthcare sector demonstrates the framework’s applicability. Results suggest that improving the coordination of information flow across departments could significantly benefit the process. The model shows strong potential to support targeted, context-aware interventions, particularly in systems marked by complexity and limited resources. |
| Ano | 2025 |
| DOI | 10.1016/j.ssci.2025.106940 |
