ABSTRACT
Systemic methods to assess and compare project processes considering their context are missing in the Architectural Engineering Construction (AEC) sector. Project assessments are highly dependent on the factors that define their context, making comparisons challenging. Inspired by interventions from macroeconomics that use empirical factors to simplify contextual complexity, project comparison can be integrated into assessments. This paper discusses a conceptual method to combine statistical methods of project context and numerical measurements of project process in Virtual Design Construction (VDC) projects. The method proposed suggests ways to break the bottleneck of assessing projects independently using streamlined big data sources from real projects. The study raises awareness to integrating numerical (process) and statistical (context) data. By this combination, a concept for intelligent performance metrics is discussed.
