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Published in:
2011 | OriginalPaper | Chapter
Empirical Study for Explicit Knowledge Evaluation in the Enterprise R&D Process
Authors : Zhou Wen-Yong, Wang Jing, Hu Jing-Jing
Published in: Advanced Research on Computer Science and Information Engineering
Publisher: Springer Berlin Heidelberg
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Explicit knowledge affects the efficiency and effectiveness of the management in the Enterprise R & D Process (ERDP) directly, yet the classification, evaluation and application of explicit knowledge in this process remain to be studied further. Based on the relevant literature study, the explicit knowledge is classified and the Evaluation System of Explicit Knowledge (ESEK) is constructed in this paper. The empirical study is built on the information from 50 valid questionnaires filled out by the R&D personnel. Empirical analyses have taught us that 6 dimensions (knowledge operation, R&D investment, R&D innovation, R&D accomplishment, R&D potential) of the ESEK are proposed by using Exploratory Factor Analysis (EFA) method. The study suggest that enterprises can evaluate and improve the efficiency and effectiveness of explicit knowledge management through the above 6 dimensions and comes to some new ideas about the classification, evaluation and improvements of explicit knowledge in ERDP.