The case study described took place over a period of more than 2 years. The design of the competency model entailed three main steps: construction, de-construction, and reconstruction. In the construction phase, 153 competencies were identified, arranged into 17 functional clusters, and rated. Using the quantitative data, the model was deconstructed and its various parts examined. It was later reconstructed based on the results of the analysis. Since a large number of competencies were identified, the data were analyzed and broken down into a series of perspectives with more manageable "chunks" of data.
- Perspective A, the "Emergent Systems Model" [ESM], was pragmatic and depicted the results of the analysis from the lens of a practitioner.
- Perspective B, the "Emergent Model" [EM], offered a view of the model from the lens of a quantitative researcher. It was based on the ratings that were collected during the last two Delphic iterations. This view depicted the model from a more rigid aspect, constructed strictly from the quantitative data.
- Perspective C, the "Emergent Functional Model" [EFM], looked at the data from the lens of an educator. This last view of the model aimed to segregate knowledge domains within business marketing and start a discussion on some of the epistemological implications of the results of the study.
The EFM and the ESM blur the line between individual and organizational competencies. Future-oriented competency/capability models can be a potent enabler in the planning of business transformation efforts, whether the change stems from external forces (such as the markets or industry) or is being catalyzed from within the organization. Competency ecosystems can provide the linchpin that connects the human capital components of a business transformation effort to the strategic, operational, and technological components of the change.
This report takes you deep into the intricacies of the process, it describes in detail the methodology and the tools that were used to synthesize the competency model and distill its components. The report is technical and requires a basic understanding of statistics to fully comprehend the analysis. The 2003 case study that is described took place over a period of over 2 years.