Abstract
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.
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© 2011 Springer-Verlag Berlin Heidelberg
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Wen-Yong, Z., Jing, W., Jing-Jing, H. (2011). Empirical Study for Explicit Knowledge Evaluation in the Enterprise R&D Process. In: Shen, G., Huang, X. (eds) Advanced Research on Computer Science and Information Engineering. CSIE 2011. Communications in Computer and Information Science, vol 152. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21402-8_15
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DOI: https://doi.org/10.1007/978-3-642-21402-8_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21401-1
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