Research on Strategy and Practice of Enterprise Knowledge Management in Network Environment
Applied Mathematics and Nonlinear Sciences, ISSN: 2444-8656, Vol: 9, Issue: 1
2024
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
The continuous progress of society and the emergence of science and technology have made knowledge management more and more the core and focus of enterprises, which provides constant power for the sustainable development and core competitiveness of enterprises. The article designs the enterprise knowledge management system model from five dimensions: knowledge resource layer, knowledge activity layer, information platform layer, protection mechanism layer and knowledge management system, and analyzes the application mode of enterprise knowledge management by combining the knowledge management execution process. Knowledge embedding and iterative alignment are introduced to build the enterprise knowledge entity alignment model, and the ConvE model and LSTM model are combined to integrate the enterprise's historical knowledge to build the dynamic knowledge reasoning model. The evaluation index system for enterprise knowledge management capability maturity is designed and combined with the entropy weight method and object element topology method for comprehensive evaluation. The MRR value of the enterprise knowledge entity alignment model was 94.05%, the maximum score of entity and relationship prediction Hits@15 of the dynamic knowledge inference model was 88.64%, and the maximum score of the knowledge management capability maturity score of the sample enterprise was 83.26 points. Relying on multiple types of technology for enterprise knowledge blending, and combined with knowledge management evaluation, to help enterprises better formulate knowledge management systems, thus enhancing their competitiveness.
Bibliographic Details
Walter de Gruyter GmbH
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