SimKnowledge - Multi agent-based simulation of knowledge sharing

Even though there is abundant literature on successful cases of organizations applying knowledge management (KM) instruments, many KM initiatives have failed to achieve their knowledge and business goals. In order to foster decisions about the design of such initiatives, information is required on success factors and barriers when selecting KM instruments. Multi-agent based simulation (MABS) is suggested as an instrument to investigate potential effects of KM instruments on dependent variables such as knowledge goals, e.g., sharing of knowledge in organizations, or business goals, e.g., business performance. For such a simulation, the concept of knowledge sharing, influencing factors and their impact on business and knowledge goals have to be operationalized. This paper presents such a model which is based on an extensive multidisciplinary literature survey. The model is implemented in a MABS tool used for a series of experiments contrasting results with/without KM instruments. Finally, the paper discusses results, limitations, further enhancements and practical implications of the simulation

Manifesto for a Standard on Meaningful Representations of Knowledge in Social Knowledge Management Environments

Knowledge Management (KM) is a social activity. More and more organizations use social software as a tool to bridge the gap between technology- and human-oriented KM. In order to create interoperable, transferable solutions, it is necessary to utilize standards. In this paper, we analyze which standards can be applied and which gaps currently exist. We present the concept of knowledge bundles, capturing information on knowledge objects, activities and people as a prerequisite for social-focused KM. Based on our concept and examples, we derive the strong need for standardization in this domain. As a manifesto this paper tries to stimulate discussion and to enable a broad initiative working towards a common standard for the next generation of knowledge management systems. Our manifesto provides with eight recommendations how the KM community should act to address future challenges