LC 00460

Expertise Management is about utilizing each other’s expertise in order to collectively address a problematic situation. Expertise is the special skill or knowledge that you get from experience, training, or study. The Expertise Management Methodology (EMM) provides a framework for applying the Expertise Management ontology (EM_ont) in order to facilitate co-creation and utilize expertise, both in physical and virtual networks of experts and expertise.

In EMM, the (problematic) situation takes central stage. A situation is comprised of roles performed by persons and organizations and has a shared purpose. Although stakeholders are not necessarily all committed to the same, specific purpose, usually they are in a more abstract sense. For instance, not many people disagree on having an “acceptable quality of life” as a shared purpose. However, we should bear in mind that stakeholders also have their own concerns that need to be addressed appropriately. A company, for example, has to make a profit in order to sustain, but this purpose is not necessarily in contradiction with the more abstract “acceptable quality of life” purpose, but if it does, questions could be raised whether the company is doing the right things or not. In addition, there are stakeholders who have no voice but nevertheless are affected. Their interests should be part of the situation as well. EMM provides the means to consider all these aspects systematically.

EMM can be applied to systematically build a Body of Knowledge and Skills (BoKS) centered around situations that characterize a particular knowledge domain. Developing a BoKS requires a structured approach to capture the skills and knowledge (experience) of experts. EMM is centered around the EM_ont for that purpose, which is discussed here extensively alongside the embedding of EM_ont in EMM.

EMM is grounded in several philosophical theories and human cognition models. It owes much to soft and critical systems thinking, especially SSM’s PQR formula. However, second-order cybernetics is not neglected. It is shown how the concepts of self-producing (autopoiesis), self-reference, autonomy, and closure can be modeled with EM_ont. By doing so, these rather abstract concepts are reframed in terms of activities, goals, beliefs, conditions, and contexts (situations and roles) and thereby brought to more familiar terms of everyday practice. Moreover, this results in a framework to assess possibilities and limits of change precisely and systematically. It is then a small step to elaborate on this framework to derive a refined human cognition model based on the Memory-Prediction Framework (MPF) and the Belief-Desire-Intention (BDI) model, which will be discussed in due time. And by another small step, a general applicable identity model is devised with which identity and cultural issues can be assessed.

Dit is een beveiligde pagina.

• Lees hiervoor:
  Social Theory of Luhmann, Soft Systems Thinking – Soft Systems Methodology, Second-Order Cybernetics, Hard Systems Thinking – System Dynamics, Laws of Form, Systems Thinking, Critical Systems Thinking
• Lees hierna:
  Roots

Referenties

• An Ontology about Expertise Management, Bruin, H. de, Rossing, G., Research Center Expertise and Valorization Management, HZ University of Applied Sciences, Vlissingen, The Netherlands, 22 januari 2017.

Hier wordt aan gewerkt of naar verwezen door: Discussion, Discussion, Foundation, Model Building - Human Activity Systems, Social Innovation Applications