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- W2148168603 abstract "This study develops a forecasting framework based on the fuzzy multi-criteria decision making (FMCDM) approach to help organizations build awareness of the critical influential factors on the success of knowledge management (KM) implementation, measure the success possibility of knowledge management projects, as well as identify the necessary actions prior to embarking on conducting knowledge management. Subjectivity, uncertainty and vagueness within the prediction process are dealt with using linguistic variables parameterized by triangular fuzzy numbers. By multiplying the importance weights of influential factors and the possible rating of success (failure), predicted success (failure) values are determined to enable organizations to decide whether to initiate knowledge management, inhibit adoption or undertake remedial improvements to increase the possibility of successful knowledge management project. The proposed approach is demonstrated using a real case involving a Taiwanese semiconductor engineering corporation." @default.
- W2148168603 created "2016-06-24" @default.
- W2148168603 creator A5032101985 @default.
- W2148168603 creator A5058842851 @default.
- W2148168603 date "2009-02-01" @default.
- W2148168603 modified "2023-10-17" @default.
- W2148168603 title "Using the fuzzy multi-criteria decision making approach for measuring the possibility of successful knowledge management" @default.
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- W2148168603 doi "https://doi.org/10.1016/j.ins.2008.10.012" @default.
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