Abstract:Abstract. Over the past century, the rate of globalization has substantially grown due to the increasing impact of transnational companies, development of digital communications systems, integration of new technologies and the increasing need for rapid response to changes by transforming life orientations of society. Establishment of strategic alliances and enlargement of international companies are becoming more relevant in the digital services and informational support sector because of the constant developm… Show more
“…The practical implementation of certain theoretical provisions developed in this research project in the processes of supporting managerial decisions, managing the information system and existing knowledge met with full understanding and support of senior management and showed positive results (new innovative clients, shortening of the production life cycle, increase in total revenues, etc.) (Ramazanov et al 2020a;Kovalenko-Marchenkova et al, 2022;Lazarova et al, 2023;Mikhno et al, 2022;Shopova et al, 2023;Iliev et al, 2023;Sribna et al, 2023).…”
This publication presents the part of the research results and practical results obtained by the authors regarding the hybrid use of economic-mathematical modelling, knowledge-oriented decision support technology of an oil and gas production company using fuzzy logical inference. The purpose of this research is the development of theoretical provisions of modelling and knowledge-oriented decision support means at the macro level of oil and gas production companies. The purpose of the work determined the solution of the following tasks: -development of science-based recommendations regarding the architecture of a knowledge-oriented DSS of an oil and gas company, the basic model of knowledge presentation, features of the logical conclusion mechanism, etc.; -development of a complex system of economic and mathematical support for decision-making at the macro level of an oil and gas production company in modern economic conditions. The object of the study is the oil and gas production industry. The subject of the research is information processes, economic-mathematical models and knowledge-oriented methods and means of supporting the adoption of management decisions at the strategic level on economic and production issues of the domestic oil and gas production project. Methods/Approach: Economic and mathematical methods, methods of artificial intelligence, methods of logical generalization, expert evaluations and situational approach are used to solve the tasks set in the work.
Results:The main scientific result of the work consists in the creation of the concept that allows creating a hybrid DSS of an oil and gas company on the basis of the developed systems of economic and mathematical decision-making support at the macro level of an oil and gas production company, focused on knowledge of technology and intelligent technologies. Conclusions: The scientific, theoretical and applied practical solutions proposed in this publication are universal for implementation by both state and private oil and gas resident and non-resident companies for emerging markets, however, in order for a specific oil and gas company to obtain special additional competitive advantages over others, additional industry-specific Big Data Analysis of collected and stored heuristics, expertise and project development are required.
“…The practical implementation of certain theoretical provisions developed in this research project in the processes of supporting managerial decisions, managing the information system and existing knowledge met with full understanding and support of senior management and showed positive results (new innovative clients, shortening of the production life cycle, increase in total revenues, etc.) (Ramazanov et al 2020a;Kovalenko-Marchenkova et al, 2022;Lazarova et al, 2023;Mikhno et al, 2022;Shopova et al, 2023;Iliev et al, 2023;Sribna et al, 2023).…”
This publication presents the part of the research results and practical results obtained by the authors regarding the hybrid use of economic-mathematical modelling, knowledge-oriented decision support technology of an oil and gas production company using fuzzy logical inference. The purpose of this research is the development of theoretical provisions of modelling and knowledge-oriented decision support means at the macro level of oil and gas production companies. The purpose of the work determined the solution of the following tasks: -development of science-based recommendations regarding the architecture of a knowledge-oriented DSS of an oil and gas company, the basic model of knowledge presentation, features of the logical conclusion mechanism, etc.; -development of a complex system of economic and mathematical support for decision-making at the macro level of an oil and gas production company in modern economic conditions. The object of the study is the oil and gas production industry. The subject of the research is information processes, economic-mathematical models and knowledge-oriented methods and means of supporting the adoption of management decisions at the strategic level on economic and production issues of the domestic oil and gas production project. Methods/Approach: Economic and mathematical methods, methods of artificial intelligence, methods of logical generalization, expert evaluations and situational approach are used to solve the tasks set in the work.
Results:The main scientific result of the work consists in the creation of the concept that allows creating a hybrid DSS of an oil and gas company on the basis of the developed systems of economic and mathematical decision-making support at the macro level of an oil and gas production company, focused on knowledge of technology and intelligent technologies. Conclusions: The scientific, theoretical and applied practical solutions proposed in this publication are universal for implementation by both state and private oil and gas resident and non-resident companies for emerging markets, however, in order for a specific oil and gas company to obtain special additional competitive advantages over others, additional industry-specific Big Data Analysis of collected and stored heuristics, expertise and project development are required.
“…Corporate social responsibility in the contemporary management practices of Kazakhstani companies is gradually taking on a stable character with clear manifestations. Large businesses now clearly understand that efforts directed towards establishing socially responsible behaviour bring benefits both in the short term and from a strategic perspective (Mikhno et al, 2022). The positive impact on society and the natural environment creates significant potential for influencing customers and improving the financial performance of business activities.…”
The study is aimed at presenting the relationship between corporate social responsibility (CSR) and the effect of the work of companies and areas of possible implementation in the largest Asian companies. Corporate social responsibility positively affects a company's business reputation and builds trust with customers who value improved financial performance.
Objectives:The purpose of the study is to find any correlation between CSR and firm performance in Kazakhstan and allows for improvement of both the enterprise sustainable development management model and its assessment.
Results: Analytical observation, monitoring, and comparison formed the basis of researching the CSR programs of selected companies. NPM, ROA, ROE, and NPM for leading Kazakh enterprises, the augmented Dickey-Fuller unit root test, and the Student's t-test indicate a correlation between CSR practices and NPM, which is an indicator of profitability. Kazakh companies show a connection between CSR practice and firm efficiency, but this only occurs through net profit margin. The analysis revealed a relatively weak quantitative relationship between the main indicators of stock market activity for companies and their net income. The results provide the basis for the hypothesis that business activity indicators in stock markets today are influenced not only by financial performance indicators. One of the key factors influencing companies' positions in stock market indices is their reputation (image) capital, which affects key indicators and ESG market ratings.Conclusions: Research data indicate the mixed impact of Corporate Social Responsibility (CSR) on corporate financial performance, with evidence of positive, negative, and insignificant relationships. Investing in CSR can enhance a company's value if certain thresholds are met. Companies are recommended to invest more in the social aspects of CSR to boost competitiveness and profitability. The results of the study are consistent with the theory and confirm the fact that CSR practices and firm performance are correlated. The association between CSR activities and financial performance was tested, and the results show that there is a positive correlation among those variables studied in Kazakhstan. The social responsibility of enterprises in Kazakhstan should be considered in two aspects: as a necessary cost item and as strategic reputational investments that contribute to the creation of a more sustainable global world and positively correlate with the financial position of the company.
“…By looking beyond traditional approaches and considering the potential benefits and challenges of new initiatives, they can implement a range of strategies that will support value creation. Some of these include adopting innovative digital business models and distribution channels, using cloud technology to enhance agility and operational excellence, leveraging data to drive decision-making, restructuring supply chains, prioritizing partnerships and collaboration, and exploring opportunities to optimize tax efficiency (Kvach et al, 2020;Mikhno et al, 2022).…”
This research is relevant because mergers and acquisitions (M&A) is one of the most complex and risky types of business operations that require significant investments. An investment audit is an important part of the M&A process, which allows investors to assess the risks and benefits of investing in a particular company, and helps ensure that the M&A does not lead to unforeseen problems or financial losses. The main purpose of conducting research is to assess the potential returns and risks associated with investments in M&A, which is becoming an increasingly popular method of conducting business operations. Therefore, the importance of an investment audit in M&A assurance management is increasing, as it helps to reduce risks and ensure the successful execution of M&A. Objectives: The purpose of the article is to discuss the further development of investment audit provisions and their impact on the results of the public interest enterprise.
Results: Conducting an investment audit is crucial in the provision management of mergers and acquisitions (M&A) to ensure effective decision-making and maximize returns. By conducting a comprehensive investment audit, acquirers can gain valuable insights into the target company's strengths, weaknesses, and growth potential, enabling them to make informed investment decisions, negotiate favorable terms, and develop integration strategies that enhance value creation and minimize risks. Ultimately, a thorough investment audit plays a pivotal role in the provision management of M&A by providing a solid foundation for successful post-merger integration and long-term business growth. Conclusions: In addition to the direct audit of M&A operations, other types of audit can be conducted: legal audit; environmental audit; organizational audit; technological audit. In the face of various challenges confronting business leaders, M&A, especially portfolio optimization, will be a crucial tool for repositioning companies, driving growth, and achieving long-term sustainable outcomes.
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