The Implementation of DSS in Knowledge-Based Organizations – The New Role of Knowledge Components in DSS Meta-Design Methodology

The aim of the paper is to show the importance of knowledge components in knowledge-based organizations in the context of DSS system implementation. The paper is based on a literature review and describes the primary attributes of the DSS, KM, and DDMKCC model paradigm, with a special focus on knowledge-based process management. The paper delivers a case study of BI system implementation for knowledge component improvement within the DDMKCC model. The case study is based on a Polish IT company. The study supports the thesis that BI systems can siginficantly help improve and develop the knowledge component in knowledge-based organization.The results highlights the background for a new methodology for implementing the knowledge component in hybryd DSS in DDMKCC models. Owing to the literature review and the ongoing research, the paper concludes that the use of BI systems can largely enhance the development of the knowledge component in DSS environments. Future efforts should concentrate on the use of AI and Big Data software to improve human-computer interaction in creativity support, modeling and simulation contexts, further exploring different approaches and applicable technologies: Big Data, mobile technologies, etc. Advanced computer algorithms have already proven to be capable of delivering better decisions than human decision makers, hence more and more of them are finding multiple applications in effective business solutions.