• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

深度学习评估下内部控制质量与会计信息质量的相关性中互相信任的影响

Mutual Trust Influence on the Correlation between the Quality of Corporate Internal Control and the Accounting Information Quality Using Deep Learning Assessment.

机构信息

School of Accounting, Sias University, Xinzheng, Henan 451100, China.

出版信息

Comput Intell Neurosci. 2022 Aug 29;2022:8257880. doi: 10.1155/2022/8257880. eCollection 2022.

DOI:10.1155/2022/8257880
PMID:36072712
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9444377/
Abstract

There is a close correlation between internal control and accounting information quality in the process of enterprise management, and this correlation drives the effect of internal control on accounting information quality, thus forming the effect that internal control optimization promotes accounting information quality optimization. This paper firstly gives a brief description of internal control and accounting information quality and then evaluates the correlation between internal control and accounting information quality based on deep learning and proposes a specific modeling method. Through the correlation and promotion of internal control and enterprise accounting information quality, the optimization of enterprise accounting information quality is achieved. And in combination with the actual case analysis, it is found that the method of this paper can achieve 92% accuracy of correlation analysis, and the analysis is more efficient.

摘要

内部控制与会计信息质量在企业管理过程中存在密切的相关性,这种相关性驱动了内部控制对会计信息质量的影响,从而形成了内部控制优化促进会计信息质量优化的效果。本文首先对内部控制和会计信息质量进行简要描述,然后基于深度学习对内部控制与会计信息质量的相关性进行评估,并提出具体的建模方法。通过内部控制与企业会计信息质量的相互关联和促进,实现企业会计信息质量的优化。并结合实际案例分析,发现本文方法的相关性分析准确率可达 92%,分析效率更高。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3921/9444377/57871564072c/CIN2022-8257880.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3921/9444377/32127e222003/CIN2022-8257880.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3921/9444377/93f03ec05a34/CIN2022-8257880.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3921/9444377/c952d1707fa7/CIN2022-8257880.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3921/9444377/33f95e46efd9/CIN2022-8257880.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3921/9444377/3abe31a19659/CIN2022-8257880.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3921/9444377/ca3dfa8c9658/CIN2022-8257880.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3921/9444377/57871564072c/CIN2022-8257880.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3921/9444377/32127e222003/CIN2022-8257880.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3921/9444377/93f03ec05a34/CIN2022-8257880.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3921/9444377/c952d1707fa7/CIN2022-8257880.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3921/9444377/33f95e46efd9/CIN2022-8257880.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3921/9444377/3abe31a19659/CIN2022-8257880.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3921/9444377/ca3dfa8c9658/CIN2022-8257880.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3921/9444377/57871564072c/CIN2022-8257880.007.jpg

相似文献

1
Mutual Trust Influence on the Correlation between the Quality of Corporate Internal Control and the Accounting Information Quality Using Deep Learning Assessment.深度学习评估下内部控制质量与会计信息质量的相关性中互相信任的影响
Comput Intell Neurosci. 2022 Aug 29;2022:8257880. doi: 10.1155/2022/8257880. eCollection 2022.
2
Retracted: Mutual Trust Influence on the Correlation between the Quality of Corporate Internal Control and the Accounting Information Quality Using Deep Learning Assessment.撤回:基于深度学习评估的相互信任对企业内部控制质量与会计信息质量相关性的影响
Comput Intell Neurosci. 2023 Aug 2;2023:9814052. doi: 10.1155/2023/9814052. eCollection 2023.
3
Optimization and Analysis of Intelligent Accounting Information System Based on Deep Learning Model.基于深度学习模型的智能会计信息系统优化与分析。
Comput Intell Neurosci. 2022 Jul 31;2022:1284289. doi: 10.1155/2022/1284289. eCollection 2022.
4
A qualitative systematic review of internal and external influences on shared decision-making in all health care settings.对所有医疗环境中共同决策的内部和外部影响进行的定性系统评价。
JBI Libr Syst Rev. 2012;10(58):4633-4646. doi: 10.11124/jbisrir-2012-432.
5
Cloud Statistics of Accounting Informatization Based on Statistics Mining.基于统计挖掘的会计信息化云统计。
Comput Intell Neurosci. 2022 Aug 27;2022:3493678. doi: 10.1155/2022/3493678. eCollection 2022.
6
The Power of Unrequited Love: The Parasocial Relationship, Trust, and Organizational Identification Between Middle-Level Managers and CEOs.单恋的力量:中层管理者与首席执行官之间的准社会关系、信任与组织认同
Front Psychol. 2021 Sep 10;12:689511. doi: 10.3389/fpsyg.2021.689511. eCollection 2021.
7
Deep Learning-Based Optimization Algorithm for Enterprise Personnel Identity Authentication.基于深度学习的企业人员身份认证优化算法。
Comput Intell Neurosci. 2022 Jun 28;2022:9662817. doi: 10.1155/2022/9662817. eCollection 2022.
8
Internal-Control Willingness and Managerial Overconfidence.内部控制意愿与管理者过度自信
Front Psychol. 2021 Nov 30;12:724575. doi: 10.3389/fpsyg.2021.724575. eCollection 2021.
9
Internal Control Quality, Enterprise Environmental Protection Investment and Finance Performance: An Empirical Study of China's A-Share Heavy Pollution Industry.内部控制质量、企业环保投资与财务绩效——基于中国 A 股重污染行业的实证研究。
Int J Environ Res Public Health. 2020 Aug 21;17(17):6082. doi: 10.3390/ijerph17176082.
10
Text Analysis and Policy Guidance of Emotional Intonation of Enterprise Management Based on Deep Learning.基于深度学习的企业管理情感语调的文本分析与政策指导。
Comput Intell Neurosci. 2022 Aug 30;2022:3428078. doi: 10.1155/2022/3428078. eCollection 2022.

引用本文的文献

1
Retracted: Mutual Trust Influence on the Correlation between the Quality of Corporate Internal Control and the Accounting Information Quality Using Deep Learning Assessment.撤回:基于深度学习评估的相互信任对企业内部控制质量与会计信息质量相关性的影响
Comput Intell Neurosci. 2023 Aug 2;2023:9814052. doi: 10.1155/2023/9814052. eCollection 2023.