Open Access

ARTICLE

Construction and Application of Cloud Computing Model for Reciprocal and Collaborative Knowledge Management

Jingqi Li^1,*, Yijie Bian¹, Jun Guan², Lu Yang²

1 Business School, Hohai University, Nanjing, 211100, China
2 Network and Information Technology Center, Hohai University, Nanjing, 210098, China

* Corresponding Author: Jingqi Li. Email:

Computers, Materials & Continua 2023, 75(1), 1119-1137. https://doi.org/10.32604/cmc.2023.035369

Received 18 August 2022; Accepted 08 December 2022; Issue published 06 February 2023

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.

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Keywords

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