Tacit Knowledge Elicitation and Measurement in Research Organisations: a Methodological Approach pp373-386
Contextual complexities as a result of the nature of knowledge based resources of organisations are increasingly the bases of competitive advantage. n the third generation of KM theories and techniques, intra‑ organisational flows of knowledge resources have become as important as the resources themselves. Management of such flows is an imperative rather than an alternative for most organisations. When attempting to implement effective KM strategies, most organisations assume complete awareness of what knowledge‑based resources they own and which elements of these, need to be shared. However, such an assumption may not always be valid. While many scholars have conducted research into measurement and management of explicit knowledge, limited progress has been made in applying similar processes to tacit knowledge resources. The KM research and practice communities agree on the importance of identifying and measuring tacit knowledge‑based resources, while absence of suitable instruments designed to apply to it continues to be a problem. This paper outlines a method to identify and measure organisational tacit knowledge‑based resources based on the concepts of tacit knowledge stocks, their intra‑organisational flows, and enablers and inhibitors of such flows. The research paper describes the method, and the process of its validation, performed within a research and development organisation.
Keywords: organisational tacit knowledge, knowledge discovery, tacit knowledge stocks, tacit knowledge flows, knowledge enablers, knowledge inhibitors
This paper offers a view of communication networks in which professionals are connected via knowledge flows and communication processes. The discussion focuses on a case study of software business processes in two small‑ size Finnish software companies. The paper has two objectives. First, it assesses the knowledge flow model as a tool that can be used for developing knowledge‑intensive services. Second, it offers a new way of seeing a software project from a communication and knowledge flow perspective.
Volume 4 Issue 1 / Jan 2006 pp1‑90
Keywords: Active learning, Africa, Business intelligence, Case study, Cognitive diversity, CommonKADS], Communication, Complexity, Complexity representation , Complexity theory, Complexity thinking, Cross-functional teams, e-Commerce, Enterprise semantic web, First order reflection, Group dynamics, Human capital, Intellectual capital, Knowledge acquisition, Knowledge acquisition, Knowledge capital, Knowledge cooperation, Knowledge co-production, Knowledge creation, Knowledge flows, Knowledge learning, Knowledge sharing, Knowledge transfer, Knowledge transfer cycle, Lightweight ontologies, Organisational practices, Performance measurement, Predictive maintenance, Relational capital, Second order reflection, Semantic information retrieval, Semantic interoperability, Social networks, Social Software, Software development, Structural capital, Tourism, Value creation, Weblog, Wiki