Abstract

Promoting the co-constructing and sharing of organizational knowledge and improving organizational performance have always been the core research subject of knowledge management. Existing research focuses on the construction of knowledge management systems and knowledge sharing and transfer mechanisms. With the rapid development and application of cloud computing and big data technology, knowledge management is faced with many problems, such as how to combine with the new generation of information technology, how to achieve integration with organizational business processes, and so on. To solve such problems, this paper proposes a reciprocal collaborative knowledge management model (RCKM model) based on cloud computing technology, reciprocity theory, and collaboration technology. RCKM model includes project group management and cloud computing technology, which can realize management, finance, communication, and quality assurance of multiple projects and solve the problem of business integration with knowledge management. This paper designs evaluation methods of tacit knowledge and reciprocity preference based on the Bayesian formula and analyzes their effect with simulation data. The methods can provide quantitative support for the integration of knowledge management and business management to realize reciprocity and collaboration in the RCKM model. The research found that RCKM model can fully use cloud computing technology to promote the integration of knowledge management and organizational business, and the evaluation method based on the Bayesian formula can provide relatively accurate data support for the evaluation and selection of project team members.

Details

Title
Construction and Application of Cloud Computing Model for Reciprocal and Collaborative Knowledge Management
Author
Li, Jingqi; Bian, Yijie; Guan, Jun; Lu, Yang
Pages
1119-1137
Section
ARTICLE
Publication year
2023
Publication date
2023
Publisher
Tech Science Press
ISSN
1546-2218
e-ISSN
1546-2226
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3199834337
Copyright
© 2023. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.