This conceptual model (Figure 1) clarifies how BIM Field types (technology, process and policy) interact with BIM Capability Stages (modelling, collaboration and integration) to generate nine areas for targeted BIM diffusion analysis and BIM diffusion planning:

Figure 1. Diffusion Areas model v1.0 (full size, current version)

The nine diffusion areas, explored in the below table, can be assessed independently or collectively. For example, the diffusion of BIM software tools within a population (modelling technologies [1TE]) can be assessed separately, and using different assessment methods, than establishing the proliferation of integrated project delivery contracts (integration policies [3PO]). Also, the diffusion of multidisciplinary BIM educational curricula (collaboration policies [2PO]) can be assessed separately, or in combination with, the proliferation of collaborative BIM roles and responsibilities (collaboration processes [2PR]).

Table 1. Diffusion Areas matrix (with sample granular metrics within each diffusion area)

The nine diffusion areas, their structured subdivisions and combinations, provide an opportunity for granular assessments of BIM diffusion within a population of adopters. Rather than being treated uniformly as a single set of data, or separated into disparate topics without an underlying conceptual structure, the Diffusion Areas’ model (Figure 1) allows the generation of targeted ratings for comparative market analysis - as exemplified in Figure 2:

Figure 2. Diffusion Areas Comparison sample chart v1.1 - updated April 24, 2016  (full size, current version)

Below is a short video explaining the above, as available on the Framework's YouTube channel:

Please note that the above model, table and chart are part of five macro adoption models collated within "Succar, B., & Kassem, M. (2015). Macro-BIM adoption: Conceptual structures. Automation in Construction, 57, 64-79". Download full paper from here: http://bit.ly/BIMPaperA8

Lenses and Filters are investigative tools of enquiry and domain analysis allowing the discovery of concepts and relations. The difference between (BIM) Lenses and Filters can be summarised as such: Lenses are additive and are deployed from the ‘investigator’s side’ of BIM Field observation while Filters are subtractive and are deployed from the ‘data side’. Lenses highlight observables that meet research criteria and identify their relations; example, an infrared lens highlights heat sources in a scene. Filters remove observables that do not meet the research criteria; example, data filters hides non-conforming data within a spreadsheet.