Such environments are characteristic of knowledge-intensive industries like biotechnology, computers, healthcare, professional services, and national defense.
Two metrics have been defined: Average Knowledge (AK) and Knowledge Diffusion (KD), which are used to evaluate different characteristics of knowledge diffusion dynamics.
While most literature has focused on the motivations or antecedents of knowledge sharing, this study focuses on examining two characteristics of knowledge sharing behavior, frequency and originality.
The unique characteristics of construction engineering translate directly into unique characteristics of knowledge resources, which is evident in the potential sources of knowledge.
Contemporary issues of study include developing tools for knowledge transferring, understanding the unique characteristics of knowledge transfer in global projects, and discussing the social aspect of brokering knowledge.
The extant literature on knowledge diffusion, however, has not been able to explain which characteristics of knowledge increase the likelihood that knowledge will remain within its own technological field or spill over to other technologies.
This calls for a study of the characteristics of knowledge work, stress management interventions and an in-depth analysis of the organizational factors causing frustrations and work-related problems in relation to knowledge work.
This means that the specific characteristics of knowledge sharing according to the three classical supplier involvement configurations (black box: design is supplier driver, grey box: joint design and white box: design is customer driven) are still largely unknown.
In order to solve these problems, this study takes advantage of Semantic Web technology and the topological characteristics of knowledge maps to develop a system that comprises a semantic tagging mechanism and triple-pattern and visual searching mechanisms.
