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.
The importance of intellectualizing modern society means a more complete study of the role intellectual capital has in the development of industrial relations is required. This is due to the fact that increasing the intellectual component is integral to building an innovation economy. A fair assessment of intellectual capital should be given. This will allow its level in a specific organization to be identified and the amount of intellectual capital to be compared with other business entities. This paper gives a comparative analysis of the use of methods for assessing the intellectual capital of a business, namely: the cost approach method, the market capitalization method, and the intellectual value added method. When examining the intellectual capital, its various components, i.e., its relational, human, and organizational capital, were used. The synergy of these components helps maximize the positive effect. The methods listed above have a practical application and were tested on a business. Using these methods made it possible to determine the quantitative and qualitative value of the intellectual capital. Thus, it was possible to not only judge the availability of intellectual resources at the current time period, but also to study the dynamics of intellectual changes, as well as build a comparative characteristic both at a microlevel with other businesses and comparing it at the meso level with the whole industry. Such practice will make it possible to come up with recommendations on how to use intellectual capital, determine its sufficiency, taking into account the industry average parameters of intellectualization. Despite the growing significance of intellectual capital and the grand scale of this problem, there are big gaps in terms of its evaluation. These are due to the insufficient number of market criteria and the inability to display them in financial statements in full. The guidelines looked at in this paper allow the amount of a company’s intellectual capital to be assessed, thus giving the opportunity to come to objective conclusions about the level of intellectualization while taking into consideration the specifics of the business activities. It also reveals the main factors influencing intellectualization and allows suggestions to be made on how to use the intangible resources available in the most rational way.
The global COVID-19 pandemic has led to the self-isolation of people and the transformation of many economic and social processes into an electronic version thus contributing to the digitalization of all spheres. Being part of this environment, enterprises generate information resources to develop their desired image, which may vary according to the factors characterizing the information environment. Information capital is a comprehensive characteristic of an enterprise and determines its effectiveness and sustainability. The purpose of this study is to develop a toolkit that allows one to assess the information capital of an enterprise, reflecting its perception within the digital information environment. It is necessary to develop the methodology for the formation of such tools. As a result, a fuzzy-plural approach has been developed to evaluate the index of external information capital. This model allows us to assess the external information capital and to simulate its changes caused by various kinds of information events. The study of key elements, for example, the stability and tonality indices, index of target perception made it possible to systematize chaotic changes in the external environment and describe them using the Chen–Lee attractor model. The results of this study can be useful for researchers in the field of digital information analysis, in particular for the comparative analysis of enterprises and the assessment of their information capital.
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