Knowledge Chain Management: New Frontiers

Knowledge is power. In this era of knowledge-based economies, constantly changing business environments, severe competition, and globalization, gaining the knowledge edge will greatly empower an organization to stay on the cutting edge. This involves leveraging explicit and tacit knowledge resources in order to ensure that businesses continue to maintain a level of sustainable competitive advantage. Knowledge-based organizations (KBO) can change data into dollars; transform information into intelligence; turn tacit knowledge into tangible assets; and convert brain power into business opportunities (Wang, 2008). There are three categories of knowledge: information (databases), explicit or codified knowledge, and tacit knowledge. Tacit knowledge is highly personal, intuitive, implicit, and context-specific, and by virtue of this, can be difficult to formalize or articulate. Since our knowledge-based economy is based on the interplay of explicit and tacit knowledge, the challenge is to address the processes of ar-and updating tacit knowledge across different domains. This is of paramount importance to ensure that an organization leverages its intellectual capital, and streamlines its knowledge-value chain. The main objective of the International Journal of Knowledge-Based Organizations (IJKBO) is to provide a global forum for practitioners and researchers in business and governmental organizations, as well as information technology professionals, software developers, and vendors, to exchange and present useful and innovative ideas and work. IJKBO emphasizes the dissemination of groundbreaking and original theories and concepts which can shape future directions of research. These, when applied, can enable business managers , policy makers, government officials, and other decision makers to better assess various advanced techniques and new applications of information technology. IJKBO encourages exploration, exploitation, and evaluation of diverse principles, processes, technologies, techniques, methods, and models (normative, descriptive, cognitive, and prescriptive) in sustainable knowledge ecosystems. There are four articles in this issue. For the last several decades, seminal theories from different disciplines have broadened our outlook on innovation, knowledge and network interaction. These theories have laid the foundation for empirical research efforts which have generated evidence on particular aspects of this triad. Platonov and Bergman propose a holistic approach, to encompass