Building a Model for Financial Management of Digital Technologies in the Areas of Combinatorial Effects

Author:

Zaytsev Andrey A.ORCID,Blizkyi Roman S.,Rakhmeeva Irina I.,Dmitriev Nikolay D.ORCID

Abstract

The race of states for digital leadership faces the challenges of digital transformation foresight, providing combinatorial effects and acceleration of digitalization processes, contributing to a more efficient allocation of limited financial resources. This situation determines the relevance of the authors’ study, which aims to develop an appropriate model for the allocation of funds for digital technologies. The methodology of the study is based on the concepts of technological modes and cyclical development of the economy. The paper presents the authors’ definition of the concept “digital space,” which is new to Russian scientific literature. The key research method is mathematical modeling. The scientific novelty of the paper is chronological architectonics of digital transformations, built by the authors, and the model of distribution of financing under the investment constraints due to the trust limit of the society institutions, the time of fluctuations of the system of technological adaptation, and the response of the institutional environment to the digital limits of the transformations. The practical significance of the proposed models is the identified tandem interconnected digital technologies of the areas of combinatorial effects that accelerate the dynamics of Industry 4.0, as well as the resulting tools for the effective management of digital technology financing. The obtained theoretical and empirical results are desirable for the heads of government agencies, foundations, corporations, and development agencies, as well as enterprises interested in accelerating digital transformation and increasing strategic competitiveness in the digital space.

Publisher

MDPI AG

Subject

Economics, Econometrics and Finance (miscellaneous),Development

Reference66 articles.

Cited by 10 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

1. Exploring Innovative Paths for Financial Management Optimization in the Big Data Era;Proceedings of the 5th International Conference on Computer Information and Big Data Applications;2024-04-26

2. Digital transformation at Maersk: the never-ending pace of change;Journal of Information Technology Case and Application Research;2024-01-10

3. Refined intelligent manufacturing enterprise human management based on IoT and machine learning technology;The International Journal of Advanced Manufacturing Technology;2024-01-06

4. Problems of Import Substitution of Processors and Ways to Solve Them in the Russian Federation;Lecture Notes in Networks and Systems;2024

5. Assessment of the Digital Production Management Potential Based on Costs Statistical Analysis in Machine Industry;Digital Transformation on Manufacturing, Infrastructure & Service;2023

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