Title :
Evaluation of knowledge management performance for HTVE based on sequential fuzzy comprehensive evaluation method
Author_Institution :
Econ. & Manage. Coll., YNNU, Kunming, China
Abstract :
For property of inter-organization and knowledge-intensive of HTVE, necessity of knowledge management performance evaluation of High-Tech Virtual Enterprise (HTVE) is analyzed. According to the theory of knowledge management and comprehensive evaluation, indicator system and general procedure of knowledge management performance evaluation of HTVE are designed. AHP as a decision method is used to get the weights of indicators, and sequential fuzzy comprehensive evaluation method (FCE) is used to accomplish evaluation of knowledge management performance (KMP). There are three moments for knowledge management performance evaluation, as prophase, metaphase, and anaphase, in which five ratings can be arrived at the performance. The final performance can provide HTVE with decision support.
Keywords :
analytic hierarchy process; fuzzy set theory; knowledge management; virtual enterprises; AHP; FCE; HTVE knowledge-intensive; KMP; anaphase; decision method; decision support; high-tech virtual enterprise; indicator system; interorganization; knowledge management performance evaluation; metaphase; prophase; sequential fuzzy comprehensive evaluation method; Analytic hierarchy process; Indexes; Knowledge transfer; Organizations; Performance evaluation; Virtual enterprises; Advanced AHP; High-Tech Virtual Enterprise (HTVE); Index System; knowledge management performance; sequential fuzzy comprehensive evaluation;
Conference_Titel :
Information Management, Innovation Management and Industrial Engineering (ICIII), 2013 6th International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4799-3985-5
DOI :
10.1109/ICIII.2013.6703665
