Teachers’ Knowledge Management Based on Knowledge Innovation
Xinyu Wang 1
Qingsong Zhang 1  
Mu Zhang 2
Xiuying Li 3
More details
Hide details
Library, Jilin Agricultural University, CHINA
Mathematics School, Jilin University, CHINA
Faculty of Agronomy, Jilin Agricultural University, CHINA
Online publish date: 2018-01-18
Publish date: 2018-01-18
EURASIA J. Math., Sci Tech. Ed 2018;14(4):1317–1324
Studying teachers’ knowledge management is also an entry point to studying knowledge management in the field of education. To guarantee the healthy and continuous development of teachers’ knowledge management ability, it is crucial to evaluate their management level in a scientific, objective and comprehensive way. Using the expert consultation and analytic hierarchy process (AHP), we put forward and set up an evaluation index system for college teachers’ knowledge management, we evaluated the knowledge management levels of college teachers. The results showed that rankings of knowledge management levels of college teachers were knowledge acquisition, knowledge organization, knowledge development and knowledge innovation from high to low. Their knowledge management was above the average as a whole. From all levels, the scores of knowledge acquisition and knowledge organization were relatively high.
Cai, L. (2015). Research on knowledge management capability and innovation performance of Virtual Enterprise Based on Cooperative Innovation. Scientific Management Research, 33(4), 69-71.
Edvinsson, L. (1996). Sullivan P developing a model for managing intellectual capital. European Management Journal, 14(4), 356-364.
Gan, Y., & Zhu, Z. (2002). Evaluation of achievements and benefit of knowledge management. Science of Science and Management, 2002(9), 24-28.
Ibisch, R. B., Bogardi, J. J., & Borchardt, D. (2016) Integrated water resources management: concept, research and implementation. In D. Borchardt, J. Bogardi, & R. Ibisch (eds.), Integrated Water Resources Management: Concept, Research and Implementation. Magdeburg, Germany: Springer, Cham.
Li, H., Guan, X., & Shao, C. (2006). Research on the interaction mechanism of knowledge management process elements. Coal Technology, 22(12), 132-134.
Liu, J., & Li, H. (2012). A theoretical and empirical study on the knowledge service capacity of digital libraries. Information Studies: Theory & Application, 35(9), 74-78.
OECD. (2007). Knowledge management in the learning society [EB/OL]. Retrieved from
Stewart, T. (1997). Intellectual capital: the new wealth of organizations. Nicholas Brealey Publishing Limited, 30(6), 953.
Tang, Z., Wang, L., & Wang, X. (2016). Research on obstacles and strategies of Micro-knowledge management. Documentation, Information & Knowledge, 2016(4), 102-109.
Tian, J. (2017). Research on the personal knowledge management strategy of college students in the information age. Shanxi Agricultural Economy, 2017(19), 101-102.
Wang, H., Gu, J., & Su, X. (2013). Research on the model and its application of ontology driven knowledge management system. Journal of Library Science in China, 39(2), 98-110.
Wang, J., & Fan, Z. (2004). A comprehensive evaluation method of organizational knowledge management performance. Journal of Industrial Engineering and Engineering Management, 2004(6), 44-48.
Wen, D., Yang, L., & Zhang, J. (2015). Research on trust evaluation mechanism based behavior of participant on environment and behavior of participant. Information Science, 33(3), 85-89.
Yan, G., & Li, J. (2001). Performance appraisal model for knowledge management. Nankai Business Review, 2001(6), 26-29.
Zhang, R. (2008). Research on knowledge management performance evaluation based on 4P model. Science and Technology Management Research, 32(2), 25-27.
Zhang, Y., & Han, D. (2017). Competitiveness Analysis and Innovation on Personal Knowledge Management Tools Based on Researchers’ Demands. Documentation, Information & Knowledge, 2017(4), 113-121+11.
Zhao, H., Bian, Y., et al. (2008). Performance evaluation of organization knowledge management based on knowledge chain, Journal of Information, 27(2): 25-27.
Zhao, R., & Wei, X. (2017). Aggregating Knowledge into Wisdom: the Model of Knowledge Management Framework in Big Data Environment. Information Studies: Theory & Application, 40(9), 20-23.
Zhu, Y., & Chen, T. (2017). Research on administration strategy for teacher’s practical knowledge. Jiangsu Education Research, 2017(10), 45-50.