A Scenarios Mediated Approach for Tacit Knowledge Acquisition and Crystallisation: Towards Higher Return-On-Knowledge and Experience

The ‘Knowledge Age’ has fuelled the need to capitalise on organisation-wide Intellectual Capital with the aim of gaining competitive advantage vis-a-vis a higher return-on-knowledge and experience. In this paper, we propose a novel tacit knowledge acquisition and representation strategy using Scenarios based on the assumption that tacit knowledge can best be explicated through controlled challenge situations. We also describe in detail, a knowledge crystallisation algorithm that is used to refine the acquired tacit knowledge by modelling the natural mechanics of crystallisation and annealing. We conclude by asserting that our approach would further enhance organisation-wide performance through its superior quality and value-added delivery of organisational services.