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从知识转移角度看虚拟团队在提升企业管理能力方面的应用。

The application of virtual teams in the improvement of enterprise management capability from the perspective of knowledge transfer.

机构信息

Department of Business Administration, Shanghai University of International Business and Economics, Shanghai, China.

出版信息

PLoS One. 2022 Mar 23;17(3):e0264367. doi: 10.1371/journal.pone.0264367. eCollection 2022.

DOI:10.1371/journal.pone.0264367
PMID:35320279
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8942250/
Abstract

To clarify the problems existing in the process of knowledge transfer of virtual teams, the team cooperation optimization model is combined with the technological innovation capability under the neural network (NN) model, and it is expected to provide a reference for the knowledge management and technological innovation of enterprises. This study first explores the organization, collaboration, and management of virtual teams from the perspective of knowledge transfer. In addition, based on NN, the research and development (R&D) and innovation capabilities of enterprises are studied, and an evaluation index system is constructed. In the stage of empirical analysis, this study selects Enterprise A for research and analyzes the status quo and existing problems of this company. Then, this study proposes a set of schemes conducive to virtual team collaboration and comprehensively uses management theory to evaluate the application effect. The team collaboration model based on knowledge transfer is applied to the operation and management of the enterprise, which significantly improves the collaboration between the various departments of the enterprise and the fluidity of resources. An enterprise R&D capability evaluation system based on a NN model can comprehensively evaluate various index data, thereby prompting its further strategic management and investment. The virtual team collaboration model combined with the R&D technological innovation under the NN model can objectively evaluate the capabilities of the enterprise, thereby improving the management efficiency and benefiting the long-term development of the enterprise.

摘要

为了厘清虚拟团队知识转移过程中存在的问题,将团队合作优化模型与神经网络(NN)模型下的技术创新能力相结合,以期为企业的知识管理和技术创新提供参考。本研究首先从知识转移的角度探讨了虚拟团队的组织、协作和管理。此外,基于 NN,研究了企业的研发(R&D)和创新能力,并构建了评价指标体系。在实证分析阶段,本研究选择企业 A 进行研究,分析了该公司的现状和存在的问题。然后,本研究提出了一套有利于虚拟团队协作的方案,并综合运用管理理论来评估应用效果。基于知识转移的团队合作模型应用于企业的运营和管理,显著提高了企业各部门之间的协作和资源的流动性。基于 NN 模型的企业研发能力评价体系可以全面评价各项指标数据,从而促进其进一步的战略管理和投资。将 NN 模型下的虚拟团队协作与研发技术创新相结合,可以客观评价企业的能力,从而提高管理效率,有利于企业的长远发展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/76b4/8942250/c02c11ed8f43/pone.0264367.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/76b4/8942250/a46f37a58882/pone.0264367.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/76b4/8942250/96fff437ce3d/pone.0264367.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/76b4/8942250/26580f0d9c91/pone.0264367.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/76b4/8942250/212340b983cb/pone.0264367.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/76b4/8942250/c02c11ed8f43/pone.0264367.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/76b4/8942250/a46f37a58882/pone.0264367.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/76b4/8942250/96fff437ce3d/pone.0264367.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/76b4/8942250/26580f0d9c91/pone.0264367.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/76b4/8942250/212340b983cb/pone.0264367.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/76b4/8942250/c02c11ed8f43/pone.0264367.g005.jpg

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