.Operations Research (OR) deals with a multiplicity of approaches embedding algorithmic, mathematical, and automated computational reasoning as core concept in knowledge-based application frameworks suited for supporting decision making processes (‘A’-side). But, quite often there is a principal disproportion between the ‘hard-core’ A-side on the one hand with all their complexity in functional approach, mathematics, algorithmic precision, or granularity of its supporting data set, and the ‘process enabling and decision enacting’ part on the other hand bringing the computed results to life in the real world of an organizational framework (‘P’-side). The challenges in bridging this principal incongruity between computerized results at the end of an automated algorithmic chain on the A-side and their practical enacting by people and their management capabilities essentially defining the quality on the P-side of the organization seem all the more growing.
.This paper is precisely to make a contribution to the bridging domain (‘I’-domain) between the A-side and the P-side in an organization by presenting our ‘k-Pool’ model. K-Pool is a fully featured system environment which is to be regarded as a specific incarnation of a complex and versatile object delivering core services in the I-domain. Core features of k-Pool are to connect the A-side and P-side in an organizational environment using essential concepts in the area spanned by “Web Technologies, Knowledge Management, Decision Support Systems”.
.In brief, this paper will focus on k-Pool’s interface positioning between A-side and P-side, the k-object container and meta-data model, the open taxonomy and view-access model, the k-Glossary and k-Taxonomy subsystems as dynamic taxonomy maintenance environment, the decision support and knowledge management functionalities, the access continuum spanning intranet, extranet and internet functions etc.