The article substantiates the essence of the concept of "social capital" as a resource in terms of formed, permanent, established types of highly effective socio-economic interactions. In addition, the main directions of its manifestation and its structural elements are defined. It is stated that for quantitative measurement of social capital at the enterprise level, it is necessary to establish its precise framework, to determine its structure and key features. As an object of accounting, social capital should be regarded as an intangible asset. The expediency of using the Value explorer method for social capital estimation, which requires some necessary steps, has been substantiated as follows: the use of clearly established algorithm of actions in the implementation of rational selection for a new product; the use of internal and external innovations in the process of generating new ideas and production of innovations within the framework of the product realization strategy; identify areas of key competitive advantages related to social capital; determining the role of the sphere of competitive advantages in production and sales of products; gross profit distribution by key competitive advantages; calculation of the potential of the competitive advantages sphere; assessment of the durability and sustainability of the competitive advantages of the enterprise and calculation of the present value of all elements of social capital of the enterprise. Five main levels of social intangibles are identified and grounded. The study allows to form an appropriate matrix to analyze the effectiveness of their use in the enterprise.

ORGANIZATIONAL AND METHODICAL APPROACHES TO DISCLOSURE OF INCOME DISTRIBUTION IN INTEGRATED REPORTINGThe essence of the integrated reporting is described. Preconditions

analYSiS of The iMPaCT of inTanGiBle aSSeTS on The CoMPanieS' MarKeT Value Purpose. To determine the impact of intangible assets on the market value of European companies (Germany, France and the United Kingdom) using intellectual data analysis. Methodology. The correlationregression analysis, including Python programming libraries (Pandas, Numpy, Matplotlib, and Seaborn), was used to find the link between market value and intangible assets available to enterprises, which allows conducting analysis and visualization of the results obtained through various methods. To analyze the impact of an industry type on the rela tionship between market value and intangible assets, their classification according to the NACE Code Index is used. findings. The correlation between intangible assets and the market value of companies in the analyzed European countries has been identified, but the strength of this connection is different (German companies (0.6-0.7), French companies (0.3-0.7), Brit ish companies (0.5-0.7)). The size of an enterprise affects the connection between intangible assets and the market value of enter prises. The authors conclude that the correlation between the intangible assets indicators by economic sectors and the market value of enterprises exists only for some economic sectors (C, J, K, M and N), classified according to the NACE Code Index. originality. The study presents the regression dependence of market value on intangible assets of European companies (Ger many, France and the United Kingdom), which allows adjusting their investment policy depending on the industry to which the company belongs and on its size. Practical value. Determining the possibility of the impact of the value of intangible assets on the market value of companies.

Intellectual capital is the total value of all entity’s intangible resources (organizational, human, and customer). Effective management of intellectual capital in high-tech industries needs determination of its role in ensuring profitability and clarifying the direction of managerial and investment policy in intangible resources. The aim of this study is to investigate the impact of intellectual capital on the profitability of Slovak software development companies. Panel data regression analysis was used as the main research method to analyze the data of 16 Slovak software development companies for 2015–2019. The study designed and analyzed four panel data regression models with different dependent variables (Return on Assets, Net Profit Margin, Gross Profit Margin, Earnings Before Interest and Taxes Margin) and similar independent variables (Capitalized Development Costs, Software, Acquired Intangible Fixed Assets, Personnel Costs, Social Security Costs, Social Costs, and Total Costs of Economic Activity). The analysis of these models was carried out based on the fixed effects method. It was found that intellectual capital reflected in the financial statements of software development companies does not meet the information needs of stakeholders and does not have a significant direct impact on profitability. Only Acquired Intangible Fixed Assets had a direct positive impact on the profitability of software development companies in all four analyzed models, and some independent variables had a negative impact. It is proposed to expand the structure of financial reporting items that characterize the intellectual capital and improve the method of recognizing costs of various types as intangibles.

Management report is a new form of sustainability reporting (SR) in Ukraine, and its assessment for quality of environmental, social and governance (ESG) criteria disclosure and compliance among banks plays a crucial role for auditors in the verification process. The Quality and Compliance Bank Management Reports (Q&C BMR) Index methodology was developed for this purpose. The methodology includes a range of formal, content, assurance and disclosure scorings. According to the results of a continuous assessment of these management reports of 75 state, private and foreign-owned banks in Ukraine for the 2018 fiscal year, the average Q&C BMR Index is 61.2%. This indicates a fairly high level of quality and compliance with regulatory requirements for disclosure by banks of Ukraine in their SR. Differentiation of the studied population of banks in terms of Q&C BMR Index allowed distinguishing the following rating groups: А – leaders, B – pursuers, C – starters, and D – outsiders. There is a clear trend in the relationship between the ownership of a bank and its Q&C BMR index. Despite the rather high average value of the index, there is an opportunity to improve Ukrainian banks’ SR in the context of its further standardization and disclosure of the full set of ESGs – a criterion for all rating groups (especially C and D). Q&C BMR Index can be used as a benchmark by banks, regulators and auditors when comparing the level of disclosure by banks and their transparency. AcknowledgmentThe comments of an editor and anonymous referees have been gratefully acknowledged. Inna Makarenko gratefully acknowledges financial support from the Ministry of Education and Science of Ukraine – Corporate Social and Environmental Responsibility for Sustainable Development: Partnership of Stakeholders in the Real, Financial and Public Sectors of the Economy (0117U003933).