Serhii Lehenchuk

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.

The purpose of the study is to examine the impact of corporate governance mechanisms on the financial performance of listed industrial companies in Oman. As the main research method, panel data regression analysis was used to analyze data from 36 Omani industrial companies, listed on the Muscat Stock Exchange for the period 2017–2021. Three regression models were developed using three dependent variables (Return on Assets, Return on Equity, Return on Sales), seven independent variables (Board Size, Independent and Non-executive Board Members, Board Meeting, Chief Executive Officer, Dummy variable for Board Change, Dummy variable for the Secretary on the Board, Dummy variable for Internal Auditor), and two control variables (Leverage, Size of the company). According to the research results, a negative influence of the Board Size and Dummy variable for the presence of the Secretary on the Board on the Return on Assets indicator at 10% and 5% significance level was found; moreover, there is a positive influence of Leverage and Size of the company at the 1% and 5% significance level on Return of Assets. Although, none of the independent variables used has a significant impact on the Return on Equity indicator. Return on Sales is significantly affected only by two control variables, i.e., a negative impact of Leverage at the 10% significance level and a positive impact of the Size of the company at the 10% significance level. The results obtained in the study indicate the imperfection of the corporate governance mechanisms implemented by Omani industrial companies in the field of ensuring financial efficiency.

The purpose of the study is to conduct a comparative analysis of the determinants affecting the financial performance of agricultural enterprises in Poland, Slovakia and Ukraine. As the main research method, panel data regression analysis was used to analyze data from 34 Polish, 123 Slovak, and 305 Ukrainian agricultural companies for the period 2017–2020. To analyze the links between financial performance measures and its determinants, nine models were developed based on three selected dependent variables (Return on Assets, Return on Equity, Return on Sales) in each of the countries studied. Seven independent variables were used, such as Leverage, Long-Term Debt to Assets, Short-Term Debt to Assets, Debt to Equity, Current Ratio, Asset Tangibility, Capital Intensity, and two control variables such as Size and Dummy variable for legal form. The most significant impact on the financial performance of agricultural enterprises has: for Polish enterprises – Return on Assets – Leverage and Asset Tangibility, Return on Equity – Debt to Equity and Dummy variable for legal form, Return on Sales – Current Ratio, Capital Intensity, and Size; for Slovak enterprises – Return on Assets – Current Ratio, Return on Equity – Debt to Equity, Return on Sales – Current Ratio, and Capital Intensity; for Ukrainian enterprises – Return on Assets – Leverage and Size, Return on Equity – Debt to Equity, and Current Ratio, Return on Sales – Capital Intensity.

This article highlights the transformation of views on the understanding of accounting as a science in the new conditions for the functioning of enterprises operating in globalized markets in a dynamic competitive environment. The necessity of considering external factors (corporate scandals, financial crisis, etc.) in the development of accounting as a science is emphasized. The reasons for the need to confirm the scientific status of accounting are considered, the hypotheses concerning the gradual crowding out and replacement of accounting by information systems with artificial intelligence are refuted. Accordingly, the study aims to confirm the scientific significance of accounting and justify the need for its further development as a social science aimed at solving social issues and having a deeper social context. Various accounting models and identification of factors affecting their construction, as a result of which the goals of accounting are transformed, make the theoretical basis of this study. It is concluded that accounting is a social science that studies the features of the functioning of the accounting system as a social and institutional practice. Such an understanding of accounting science is considered one of the ways out of the existing crisis. The reasons for the lack of understanding among Ukrainian researchers of accounting as a social science are highlighted, and the ways to overcome them are suggested. It is proved that accounting, on the one hand, is a product of the social environment, an instrument for reflecting the economic reality of an enterprise. On the other hand, it influences the formation of social reality, being an instrument for shaping social processes and relations arising from the functioning of accounting as a separate socio-economic institute.

The article aims to investigate, using the VAIC and MVAIC models, the impact of intellectual capital on the financial performance of Omani companies listed on the Muscat Stock Exchange from 2017 to 2021. Regression analysis revealed a significant positive influence of VAIC and MVAIC only on the Asset Turnover Ratio at a 10% significance level. This suggests that an increase in VAIC or MVAIC by one unit could lead to a respective increase in earnings for Omani listed industrial companies by 0.0017 and 0.0016. However, the overall impact of VAIC and MVAIC on financial performance appears limited, necessitating measures for enhanced efficacy. Moreover, company size and leverage were found to significantly influence EBITDA and Return on Assets, suggesting the positive effect of increased activity and resource utilization. Conversely, Return on Customer Equity negatively affected only Asset Turnover Ratio, implying that investments in marketing and advertising may not significantly enhance financial performance. Human Capital Efficiency showed no significant impact on financial performance measures, highlighting the necessity for Omani industrial enterprises to focus on enhancing employee skills and experience for improved value-creation processes. These findings underscore the intricate relationship between intellectual, physical, and financial capital in shaping financial performance, necessitating targeted strategies for enhancement. Further analysis of suggested models indicated the significance of company size on EBITDA, highlighting the importance of scaling activities for performance improvement. VAIC and MVAIC structural elements showed mixed results, while Capital Employed Efficiency negatively affected Return on Equity, Structural Capital Efficiency positively impacted EBITDA and Asset Turnover Ratio.