Title
Organizational forms for knowledge management in photovoltaic solar energy industry
Abstract
In recent years, China has put great efforts into the combat against global warming and the mission of zero carbon emission. However, compared with leading countries such as Japan and Germany, China is still under high pressure to prosper its photovoltaic (PV) solar energy industry since its technologies are still far behind those countries. In knowledge intensive industry, a firm needs to develop new products as a participant within a certain industry because knowledge has become a critical factor that affects industry dynamics. In light of this situation, it is essential to propose a strategic policy to facilitate a firm in knowledge distribution, knowledge absorption, knowledge creation, and then to obtain competitive advantages. Until now, there has not been such strategic policy in China. In order to fulfill this vacancy, a conceptual model is proposed. First, the proposed model examines critical characteristics of successful PV solar energy industry in China. Second, a fuzzy analytic network process is developed to analyze suitable forms of organization for knowledge management in order to distribute existing knowledge as well as to create new knowledge.
Year
DOI
Venue
2010
10.1016/j.knosys.2010.06.008
Knowl.-Based Syst.
Keywords
Field
DocType
fuzzy analytic network process (fanp),existing knowledge,knowledge management,certain industry,new knowledge,knowledge creation,industry dynamic,knowledge management (km),knowledge distribution,knowledge intensive industry,organizational form,photovoltaic (pv) solar energy industry,organizational forms,competitive advantages,knowledge absorption,photovoltaic solar energy industry,strategic policy,global warming,analytic network process,solar energy,carbon emissions,high pressure,conceptual model,competitive advantage
Global warming,Conceptual model,Computer science,High pressure,China,Competitive advantage,Solar energy,Knowledge management,Knowledge creation,Photovoltaic system
Journal
Volume
Issue
ISSN
23
8
Knowledge-Based Systems
Citations 
PageRank 
References 
8
0.51
8
Authors
2
Name
Order
Citations
PageRank
Hsing Hung Chen1462.77
Chuan Pang2233.41