Knowledge and Information Management (KIM) has existed as a separate field of scientific research for almost a decade. It is therefore surprising that very few studies to date have been concerned with the identification of the scope and boundaries of the field, as well as the sub-topics and research themes that constitute it. This chapter reports on the results of an empirical analysis of more than 200 research projects in Knowledge and Information Management. Using an inductive methodology of pattern matching analysis, a more accurate definition of knowledge management is attempted, and an innovative taxonomy of research sub-themes within the ‘umbrella’ area of Knowledge and Information Management is proposed. Furthermore, a trend towards a gradual maturation of the presently prevailing research paradigm is identified, indicating a need for a ‘paradigm shift’ that will provide a new direction and vision for future research in the area. We suggest that targeted future research efforts in the area of knowledge technologies will contribute to the development of the ‘next generation’ knowledge management systems that will transform the existing ‘passive’ knowledge repositories into ‘active’ learning environments.