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基于人工智能与数字经济的协同与联动推进路径

The Propulsion Path of Synergy and Linkage Based on Artificial Intelligence and Digital Economy.

作者信息

Wu Yan, Zhu Yuqin, Zhao Jingfeng

机构信息

School of Economics and Management, Northwest University, Xi'an, China.

School of Economics and Management, Hezhou University, Hezhou, China.

出版信息

Front Psychol. 2022 May 17;13:854542. doi: 10.3389/fpsyg.2022.854542. eCollection 2022.

DOI:10.3389/fpsyg.2022.854542
PMID:35664178
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9157247/
Abstract

From conception to birth, artificial intelligence inherited the power of human reproduction, such as creativity, self-improvement and language use, etc. These abilities cannot be exercised in other places. The purpose of this paper is to explore the path of collaborative promotion based on artificial intelligence and digital economy. First, it outlines the scattered use of data by individuals at the two application levels of the digital economy and the systematic use of data by enterprises on large organizations. In this study, artificial intelligence and digital economy are introduced into the ability of project information sharing in the field of the enterprise project, and then their important role in improving the performance of enterprise project management is analyzed. Secondly, try to use interviews, scale analysis and logical subtraction to formulate the measurement standards of the digital environment and project information publishing ability, and provide basic data for follow-up research. The experimental results show that 54% of middle-level personnel said that the synergy between enterprise artificial intelligence and digital economy is very good, and they have a positive attitude toward exploring new ways to promote digital economy integration in the field of artificial intelligence.

摘要

从概念诞生到实际应用,人工智能继承了人类繁衍的能力,如创造力、自我提升和语言运用等。这些能力在其他领域无法施展。本文旨在探索基于人工智能和数字经济的协同促进路径。首先,概述了个体在数字经济两个应用层面上对数据的分散使用以及企业在大型组织中对数据的系统使用。在本研究中,将人工智能和数字经济引入企业项目领域的项目信息共享能力,进而分析它们在提升企业项目管理绩效方面的重要作用。其次,尝试运用访谈、量表分析和逻辑减法来制定数字环境和项目信息发布能力的衡量标准,为后续研究提供基础数据。实验结果表明,54%的中层人员表示企业人工智能与数字经济之间的协同效果非常好,他们对探索人工智能领域促进数字经济融合的新方法持积极态度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5646/9157247/eb157e15f887/fpsyg-13-854542-g010.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5646/9157247/bcfe769919a8/fpsyg-13-854542-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5646/9157247/6d337bef0a9e/fpsyg-13-854542-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5646/9157247/eb157e15f887/fpsyg-13-854542-g010.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5646/9157247/33873d6cf19e/fpsyg-13-854542-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5646/9157247/30b25d0b99e5/fpsyg-13-854542-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5646/9157247/bcfe769919a8/fpsyg-13-854542-g008.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5646/9157247/eb157e15f887/fpsyg-13-854542-g010.jpg

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本文引用的文献

1
The Role of the Digital Economy in Rebuilding and Maintaining Social Governance Mechanisms.数字经济在重建和维护社会治理机制中的作用。
Front Public Health. 2022 Jan 14;9:819727. doi: 10.3389/fpubh.2021.819727. eCollection 2021.
2
Artificial Intelligence and Machine Learning in Radiology: Opportunities, Challenges, Pitfalls, and Criteria for Success.人工智能和机器学习在放射学中的应用:机遇、挑战、陷阱和成功标准。
J Am Coll Radiol. 2018 Mar;15(3 Pt B):504-508. doi: 10.1016/j.jacr.2017.12.026. Epub 2018 Feb 4.
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Neuroscience-Inspired Artificial Intelligence.
神经科学启发的人工智能。
Neuron. 2017 Jul 19;95(2):245-258. doi: 10.1016/j.neuron.2017.06.011.