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The influence of machine learning-based knowledge management model on enterprise organizational capability innovation and industrial development

The aims are to explore the construction of the knowledge management model for engineering cost consulting enterprises, and to expand the application of data mining techniques and machine learning methods in constructing knowledge management model. Through a questionnaire survey, the construction of...

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Detalles Bibliográficos
Autores principales: Zhou, Zhigang, Liu, Yanyan, Yu, Hao, Ren, Lihua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7707476/
https://www.ncbi.nlm.nih.gov/pubmed/33259475
http://dx.doi.org/10.1371/journal.pone.0242253
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author Zhou, Zhigang
Liu, Yanyan
Yu, Hao
Ren, Lihua
author_facet Zhou, Zhigang
Liu, Yanyan
Yu, Hao
Ren, Lihua
author_sort Zhou, Zhigang
collection PubMed
description The aims are to explore the construction of the knowledge management model for engineering cost consulting enterprises, and to expand the application of data mining techniques and machine learning methods in constructing knowledge management model. Through a questionnaire survey, the construction of the knowledge management model of construction-related enterprises and engineering cost consulting enterprises is discussed. First, through the analysis and discussion of ontology-based data mining (OBDM) algorithm and association analysis (Apriori) algorithm, a data mining algorithm (ML-AR algorithm) on account of ontology-based multilayer association and machine learning is proposed. The performance of the various algorithms is compared and analyzed. Second, based on the knowledge management level, analysis and statistics are conducted on the levels of knowledge acquisition, sharing, storage, and innovation. Finally, according to the foregoing, the knowledge management model based on engineering cost consulting enterprises is built and analyzed. The results show that the reliability coefficient of this questionnaire is above 0.8, and the average extracted value is above 0.7, verifying excellent reliability and validity. The efficiency of the ML-AR algorithm at both the number of transactions and the support level is better than the other two algorithms, which is expected to be applied to the enterprise knowledge management model. There is a positive correlation between each level of knowledge management; among them, the positive correlation between knowledge acquisition and knowledge sharing is the strongest. The enterprise knowledge management model has a positive impact on promoting organizational innovation capability and industrial development. The research work provides a direction for the development of enterprise knowledge management and the improvement of innovation ability.
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spelling pubmed-77074762020-12-08 The influence of machine learning-based knowledge management model on enterprise organizational capability innovation and industrial development Zhou, Zhigang Liu, Yanyan Yu, Hao Ren, Lihua PLoS One Research Article The aims are to explore the construction of the knowledge management model for engineering cost consulting enterprises, and to expand the application of data mining techniques and machine learning methods in constructing knowledge management model. Through a questionnaire survey, the construction of the knowledge management model of construction-related enterprises and engineering cost consulting enterprises is discussed. First, through the analysis and discussion of ontology-based data mining (OBDM) algorithm and association analysis (Apriori) algorithm, a data mining algorithm (ML-AR algorithm) on account of ontology-based multilayer association and machine learning is proposed. The performance of the various algorithms is compared and analyzed. Second, based on the knowledge management level, analysis and statistics are conducted on the levels of knowledge acquisition, sharing, storage, and innovation. Finally, according to the foregoing, the knowledge management model based on engineering cost consulting enterprises is built and analyzed. The results show that the reliability coefficient of this questionnaire is above 0.8, and the average extracted value is above 0.7, verifying excellent reliability and validity. The efficiency of the ML-AR algorithm at both the number of transactions and the support level is better than the other two algorithms, which is expected to be applied to the enterprise knowledge management model. There is a positive correlation between each level of knowledge management; among them, the positive correlation between knowledge acquisition and knowledge sharing is the strongest. The enterprise knowledge management model has a positive impact on promoting organizational innovation capability and industrial development. The research work provides a direction for the development of enterprise knowledge management and the improvement of innovation ability. Public Library of Science 2020-12-01 /pmc/articles/PMC7707476/ /pubmed/33259475 http://dx.doi.org/10.1371/journal.pone.0242253 Text en © 2020 Zhou et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Zhou, Zhigang
Liu, Yanyan
Yu, Hao
Ren, Lihua
The influence of machine learning-based knowledge management model on enterprise organizational capability innovation and industrial development
title The influence of machine learning-based knowledge management model on enterprise organizational capability innovation and industrial development
title_full The influence of machine learning-based knowledge management model on enterprise organizational capability innovation and industrial development
title_fullStr The influence of machine learning-based knowledge management model on enterprise organizational capability innovation and industrial development
title_full_unstemmed The influence of machine learning-based knowledge management model on enterprise organizational capability innovation and industrial development
title_short The influence of machine learning-based knowledge management model on enterprise organizational capability innovation and industrial development
title_sort influence of machine learning-based knowledge management model on enterprise organizational capability innovation and industrial development
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7707476/
https://www.ncbi.nlm.nih.gov/pubmed/33259475
http://dx.doi.org/10.1371/journal.pone.0242253
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