Design of Knowledge Service Model and Approaches for Professional Virtual Community in Knowledge-Intensive Industries

2016 ◽  
pp. 351-380 ◽  
Author(s):  
Kathrin Kirchner ◽  
Mladen Cudanov

Knowledge-intensive companies are quickly changing, involving many people working in different activities. Knowledge in such companies is diverse and its proportions immense and steadily growing. The distribution of knowledge across project teams, communities of practice, and individuals is therefore an important factor. With collaborative Web, tools like wikis, blogs, or social networks are used for collaboration and knowledge sharing. In this chapter, we question what influence these tools have on knowledge management, organizational structure, and culture of knowledge-intensive companies. As a result of our interviews and surveys done in Serbia, we found that with collaborative Web, organizational structure, culture, and knowledge management change is perceived among employees and that employee’s loyalty changes from company orientation toward virtual community orientation.


2014 ◽  
Vol 13 (2) ◽  
pp. 353-358
Author(s):  
Huimin Lu ◽  
Xiaoyu Bai ◽  
Gang Liu

2011 ◽  
Vol 135-136 ◽  
pp. 553-559 ◽  
Author(s):  
Wen Kui Xi ◽  
Xiao Yang Yuan ◽  
Qian Jia

Knowledge-intensive is a significant feature of the modern service-oriented industrial structure, and knowledge service is a main part of knowledge science. With research practices and accumulations in the field of tribological knowledge acquisition of turbine, automobile engines and other complex mechanical systems, construction of knowledge base and cooperation with enterprises in chain of “University-Industry-Research”, based on the understanding and experience of conceptual contents and features of tribology, knowledge service and resource unit and other concepts in the process of utilization, this paper studied the expression of modeling knowledge in the process of basic tribological knowledge service, construction of knowledge unit based on knowledge base and the driving force of knowledge acquisition and knowledge flow.


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