Inaccuracy, ambiguity and irrelevance: An analysis of the nature of quality in knowledge management using the noetic prism

Quality, as it applies to knowledge systems, is not singular in nature but emergent from aspects of the system which themselves are subject to variation in quality. We suggest that there are three quality determinants, which we can characterise as inaccuracy, ambiguity, and irrelevance. We use the framework of the noetic prism to describe inaccuracy, ambiguity, and irrelevance formally as a result of variance in the dimensions of granularity, shape and scope in noetic material, and suggest that any unreliable system will always contain an amalgam of the three. We suggest some practical implications based on this analysis