Information-logical model of express analysis of the state of the enterprise that meets the requirements of standards and regulations, based on publicly available data

Author:

Bogdanova TatianaORCID,Zhukova LiudmilaORCID

Abstract

The last 10 years have witnessed an explosive growth in the volume of information posted on the Internet and the digital economy, as well as the formation of official databases of various public authorities. The availability of a large information base open for research has facilitated the development of new methods and approaches to solving analytical problems. Building management and decision-making support systems based on the use of united disparate open data sources allows end users to make the most effective decisions. This is the approach that underpins business growth and managerial maturity at all levels – there is no alternative. Such an approach ultimately creates the conditions for further growth of the economy as a whole. This paper proposes the information and logical model of express analysis of compliance of socio-economic condition of the enterprise with the regulatory requirements of the control and supervisory authorities on the basis of open, publicly available information. The conclusions drawn on the basis of express analysis serve as a basis for deciding on the need for a more detailed, in-depth analysis of the state of individual enterprises.

Publisher

National Research University, Higher School of Economics (HSE)

Subject

Management of Technology and Innovation,Economics and Econometrics,Information Systems,Business and International Management,Management Information Systems

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3