Purpose Current design decisions often rely on conceptual ideas and data-based assumptions rather than real-time operational data, leading to a persistent knowledge gap in decision-making. Experiential Design Decision-Making (EDDM) addresses this gap by integrating multidisciplinary knowledge from existing buildings into new building designs. To enable EDDM, identifying key knowledge aspects to be considered during design is essential. Since existing research has explored such knowledge aspects inconsistently and lacks cohesive integration, this study proposes a modified set of knowledge categories for effective design decision-making. Design/methodology/approach This study employs a systematic literature review to identify key studies focused on required knowledge areas for building design. A comparative analysis was conducted to evaluate the knowledge categories extracted from the selected studies by examining key similarities and differences. Findings This study consolidates fragmented knowledge classifications from prior research into a unified and refined set of 21 knowledge categories for building design decision-making. The modified set resolves overlaps and inconsistencies in earlier classifications, provides clearer definitions and aligns with lifecycle stages to enhance their applicability. Originality/value The originality of this study lies in consolidating and refining previously fragmented knowledge areas into a unified classification. It provides a conceptual foundation for capturing the most valuable knowledge from existing buildings that informs future design decisions in an evidence-based manner within the modern complexities and demands. While primarily conceptual at this stage, the findings set the stage for EDDM implementation in future building projects by strengthening the design-operation integration.
Dasandara et al. (Tue,) studied this question.