Genetic Algorithm Based on Multiple Population in a Business Process Optimization Issue

Cite as: Miroshnychenko I., and Bradul, O. (2023). The influence of corporate management on the optimization of business processes. Economic analysis, 33 (4), 253-260. DOI: https://doi.org/10.35774/econa2023.04.253 The relevance of the study is due to the fact that today the economic situation in Ukraine in connection with the military aggression of a neighboring country has acquired a rather critical state, as a result of which many domestic corporations are losing production ties, key suppliers and sales markets, reducing business performance indicators processes. Therefore, the main task of corporate management is to find ways to optimize business processes in the existing conditions and direct all the potential of the corporation to maintain and preserve the business. The purpose of the study is to determine the specifics of the impact of corporate governance on the optimization of the enterprise's business processes. The object of the research is cooperative management and its influence on the optimization of the corporation's business processes. The theoretical analysis within the scope of this study was carried out on the basis of the methods of analysis, systematization, generalization and comparison of the theoretical provisions of various researchers regarding the definition of the essence and content of corporate management, as well as its influence on the optimization of the enterprise's business processes. Based on the results of a critical review of scientific works on the essence of corporate governance, the following scientific approaches to its interpretation were distinguished: classical, managerial, regulatory, controlling, strategic, effective, shareholder stakeholder. The author's vision of a complex system of interaction of such approaches based on their systematization into three groups (interest, management, effect) is proposed. At the same time, interest-group approaches are distinguished by a greater attention of scientists to the issues of satisfying the interests of participants in corporate relations, management - an emphasis on management functions and tasks of corporate management, and the effect - on obtaining the desired results from such management in a strategic perspective. The definition of corporate governance is proposed as a system of managing corporate relations in an organization that functions in order to realize its strategic goals by ensuring the effectiveness of the mechanism for making effective decisions based on the regulation and control of corporate rights and monitoring the results of activities to ensure the balance of interests of participants in corporate relations. The content of the concept of "optimization of business processes" in the environment of corporate management is proposed, which is based on the key role of corporate management, which develops a strategy aimed at the result.

This work considers the optimization and development of business processes in investment. The conditions for the digitalization of the economy actualize the issue of introducing information technologies at all its levels and links. It is proved that information technology is an effective tool for reducing the time for the implementation of individual business processes and in investment. Its use expands the possibilities of exchanging information and its dissemination to the general public, improves the quality of investment tasks and the objectivity of investment decision-making results. Experimental studies have confirmed that the result of its application is the efficiency of obtaining, processing, and analyzing information when making management decisions. The visual content of the results of investment analysis, obtained using automation technologies, facilitates the perception of information, improves the quality of its transmission, and the value of ideas. The continuous development of information technologies in the field of investment is the basis for further scientific and practical research in this area. Based on such considerations, the feasibility of modifying the methodical toolkit of financial calculations in the process of analyzing the effectiveness of investment implementation is justified. Models of the modified internal rate of return on investment and the rate of return on financial management are proposed. Based on their definition, the objectivity of evaluating investments increases, the effectiveness of cash flow management during their implementation is proved. Strengthening the manifestation of crisis phenomena actualize the study of the nature of the occurrence of risks and the degree of their controllability. The approach to assessing investment risks using the β coefficient, the calculation technology, which is a universal tool for assessing the impact of systemic risks at the macro and micro levels, is substantiated.

This article discusses the problems of introducing an effective business, as well as optimizing business processes. Various approaches to managing and optimizing business processes are analyzed. The reasons for which it is necessary to improve the process and each component of this process are identified and described. Two main approaches to improving business processes are considered: functional and approach, the main differences between them, as well as the advantages and disadvantages of each of them are demonstrated. Any process has a life cycle, thanks to which it follows the article considers the life cycle of six sigma. Based on the material studied, methods for improving business processes are proposed, and the role of the leader is examined, and concepts such as creative management and a creative manager are examined and what their role is in modern business. Any life cycle needs modeling, timely improvement, so that the company can get good results, so managers and chief managers must follow the simple rules discussed in the article in order to simulate the business process as is and as it should be , you can use the Business Process Management Notation and special software designed for this. The general conclusion of the article is that each company should choose its own approach and method of optimizing business processes based on general principles. Key words: business processes, processes, process management, optimization.

The article is devoted to the topical issues of artificial intelligence (AI) technology for managing the optimization of business processes under the influence of changing SEO trends in 2025, which is important and requires the identification of the main vectors of their further development for implementation in the work of the business. In the modern world, where information has a dynamic development and becomes a digital asset, the use of AI plays a significant role for managers and clients, which determines the development of the functional intelligence of the future management network. The research consists of analyzing the main approaches in the context of business process management regarding their optimization in the field of security, taking into account the changing trends of SEO in 2025 using AI, which will contribute to increasing the efficiency of business decisions. The main trends of AI influence on the development of SEO optimization in website promotion in 2025, which has a positive impact on business development and the effectiveness of indicators, are summarized. The vectors of management efficiency through the impact of AI technology on the optimization of business processes in the field of security services, which will contribute to timely response to the challenges and risks of the modern competitive environment, are determined. In conclusion, it is emphasized that for improving the management of business processes regarding their optimization, it is necessary to use AI, in particular in the field of security, taking into account SEO trends in 2025, through the analysis of current processes, identifying priority goals of business process optimization, improving existing processes and developing new ones taking into account the use of modern technologies and monitoring business results by implementing changes in order to adjust them. These vectors contribute to the optimization of business processes in the field of security, but there is a need to take into account the cost of AI implementation and training of security guards who have to work with AI technology and understand how to interpret the data obtained. An important challenge is the solution of an ethical issue that concerns the confidentiality and protection of personal data of clients. It has been found that AI has significant potential for optimizing business processes in the field of security regarding increasing management efficiency, improving the quality of service, which will lead to business performance. The vector of further research lies in the wide application of AI in management, which will bring the business to a qualitatively new level of management, defining the development of the functional intelligence of the future management network.

This paper describes a method for the implementation and optimization of business processes in a service oriented architecture (SOA). A process specification is created by business people, and expressed in Business Process Modeling Notation (BPMN). The specification is then translated into Business Process Execution Language (BPEL), and used by technical people as a reference process, which is subject to a series of transformations that change the internal process structure in order to improve the quality of the process execution. The behavior of each transformed process is verified automatically against the behavior of the reference process. The verification mechanism is based on a mapping from BPEL to Language of Temporal Ordering Specification (LOTOS), followed by a comparison of the trace set that is generated using a program dependence graph of the reference process and the trace set of the transformed one. When the design goals have been reached, the transformed BPEL process can be executed on a target SOA environment using a BPEL engine.

Business process's performance determine the whole enterprise's economic profit, researching work on business process's optimization is very useful and meaningful. This thesis point out that manager must take the dynamic environment and multiple objectives into account while optimizing the enterprise's business process. Based on the theory of multiple objective optimizations, AHP, and simulation technology, the thesis builds a dynamic simulation model for business process optimization. Firstly the basic concept of business process is introduced. Secondly the framework of simulation model is put forward, the framework include logic of the simulation process and parameters' selection. Thirdly, the thesis researched the business process' s performance evaluation method, and proposed a review model based on AHP, point out that there is a balanced point among time, cost and quality, and the point can help us to find the optimal design of business process. Finally, the thesis provide a experiment to verify the validity of the model put forward by the thesis, and the result prove that the model is effective in optimization of business process.

Generally, the environment and enterprises' condition are not stable, in order to promote the enterprises' competitive power, mangers must continuously improve the business processes' performance. Based on the simulation method and multi-objective optimization theory, the thesis builds a dynamic multi-objective optimization model for business process optimization. Firstly the framework of optimization model is introduced, the framework include logic of the simulation process and parameters' selection. Secondly, a business process's performance review model is given for evaluation, and also point out that there is a balanced point among time, cost and quality, and the point can help us to find the optimal design of business process. Finally, the thesis provide a experiment to verify the validity of the model put forward by the thesis, and the result prove that the model is effective in optimization of business process.

Significant opportunities for improvement exist in the optimisation of business processes. The use of statistically-based methods to characterise business process performance is one way to realise those improvements. Business processes can be difficult to characterise due to variables that are difficult to define, measure and analyse. Outputs in the business process may be qualitative or binary in nature. The cause and effect relationships among inputs, actions and outputs may be difficult to observe and monitor. Sources of variation exist throughout the process, but may be difficult to identify and control. Consequently, statistically-based characterisation methods that have been proven successful for manufacturing processes may not be directly applicable to business processes. Because many of the variables in these business processes are subjective or qualitative in nature, categorical data analysis techniques may be useful. This paper illustrates the use of logistic regression to establish statistically significant relationships between the input and output variables of one complex business process.

The paper describes a simple, straightforward method to measure progress of business process optimization (BPO). The aim is to derive measures of the degree of BPO attainment in order to identify future priority focus for ensuing exercises. These measures can help to identify components of business that should be improved towards full optimization of processes in business. In an ideal case of the business containing all the components, a large business scenario is assumed. However, flexibility is permissible when changes are experienced with either some business aspects missing or new ones added. A measure of BPO progress was eventually developed based on these circumstances. A BPO measurement is described for presentation as a percentage or proportion. Keywords: BPE, BPO, change management, measure, risk management, success factor. JEL Classification: C1, C3, C5, C6, O3

The article explores the vital subject of optimizing business process management, which is essential for enhancing the efficiency and competitiveness of enterprises. The study evaluates various perspectives, including economic, engineering, and managerial aspects, and underscores the importance of mathematical models over descriptive models in achieving precise and effective optimization. Descriptive models, despite their widespread use, do not guarantee optimal outcomes. The article emphasizes the need for mathematical models to accurately optimize business processes, considering various criteria and constraints. This approach aims to address the limitations of current descriptive models and advocates for the development of specific mathematical models to manage business process optimization under uncertainty. Key findings reveal that optimization in business process management has a significant impact on enterprise efficiency, productivity, and competitiveness. The process approach, which concentrates on enhancing individual business processes, is highlighted as a crucial paradigm in modern management. The research calls for further investigations to develop mathematical models that can deliver more reliable and precise optimization results, especially in uncertain conditions. In conclusion, the article supports the transition from descriptive to mathematical models in optimizing business process management to achieve maximum efficiency and competitiveness in enterprises. Future research will focus on developing mathematical optimization models for business processes, particularly those related to new product development under uncertain conditions. This shift is anticipated to offer more accurate and effective solutions for optimizing business processes in a dynamic and unpredictable business environment. Furthermore, the article highlights the need for continuous development and application of mathematical approaches to ensure that business processes are optimized effectively. It stresses the importance of incorporating various optimization criteria and constraints to achieve the best possible outcomes. By transitioning to mathematical models, businesses can better navigate the complexities and uncertainties inherent in today's competitive landscape, leading to improved performance and sustainable growth.

The article is devoted to the study of approaches to managing the digital transformation of business entities. It presents differences in the interpretation of the essence of the concepts of digitalization, digitization, and digital transformation. Three main areas of the enterprise affected by digital transformation have been identified: work with clients, operational business processes, and business models of the enterprise. Digitalization of enterprise business processes will influence changes in value formation and structural changes, and will also depend on them. It is substantiated that the level of use of digital technologies will be greatly influenced by the financial capabilities of the enterprise. An algorithm for the digital transformation of an enterprise has been developed, which makes it possible to choose priority areas for optimizing business processes through varying degrees of digitalization. This algorithm provides a preparatory stage at which it is recommended to carry out a detailed diagnosis of the external environment and assess the degree of penetration of digital technologies into the industry in which the activity is carried out. It provides for diagnostics of the enterprise taking into account available resources and identification of business processes that require innovative changes and solutions. The developed algorithm provides for partial optimization of individual business processes (installation of ERP-, CRM-, HRM- and other resource management systems, document management, logistics, etc.) and significant changes in several business processes using AI, BigData, IoT, cloud technologies, etc. The algorithm ends with the implementation stage, at which the necessary software and technological solutions are implemented. Transformation of operational processes through automation will provide economies of scale and increase productivity. The elements of digitalization of business processes of the enterprise are characterized. Three variable blocks in the transformation of business models are considered: digital modifications of individual processes, the introduction of new digital business models, and digital globalization. Conclusions about the main advantages of enterprises that have carried out digital transformation are drawn.

One of the key issues in corporate management is business process management. That is why the greatest interest for company analysts is the issue of effective forecasting of business processes. In today's digitalization of the economy, integration and automation of business processes have become the main priorities for achieving efficiency and effectiveness of companies, and especially for effective management decisions. This problem can be solved with the help of integrated systems, which are tools for effective management decisions, modeling and optimization of business processes. The article provides an analytical review of known forecasting methods and identifies the features of their application, analyzes the advantages and disadvantages that will take them into account in modeling the company and promote economic development, competitiveness and optimize business processes.

The purpose of this study is to develop a new model of business processes for the provision of public services on the example of the registration service of the applicant as a person looking for a job at the Center for Employment of Almaty. The subject of the study was selected business processes for the provision of public services  registration of the applicant as a "job seeker". To solve the set tasks, methods of a systematic approach to the study of organizational and economic phenomena, modeling, cost analysis, expert assessments, comparisons, etc. were used. The article builds models of business processes “As-Is” and “To-Be”, identifies duplicate operations, processes were reengineered and the two models were compared using functional cost analysis. Reengineering was carried out not only with the aim of optimizing the business processes of the state authority in question, but also with the goal of developing an “open government”. The article proposes restructuring procedures based on determining priority business processes for reengineering, which, unlike traditional approaches, are ranked based on selected criteria: performance, cost, time, quality, and decomposition by pairwise comparisons; A new model of business processes for the provision of public services has been proposed, a distinctive feature of which is the use of the state portal. As a result of the optimization of business processes, it was possible to reduce the number of operations from twenty-three to five operations, with a decrease in the total duration of the service and its cost. In this state institution, in addition to the considered service for the registration of a citizen as a job seeker, several state services are provided. Thus, it seems appropriate to work on optimizing business processes for other types of services. The results obtained during the study can be used in public institutions of any legal form.

The aim of the article is to analyze the impact of information technology on the efficiency of business processes in modern marketing. A business process optimization helps an enterprise increase its competitiveness by reducing the time from product development to market launch and reducing production and promotion costs. This helps to enhance the efficiency of marketing strategies and increase the profitability of the enterprise. Optimization of business processes in marketing, in particular through the use of process management, is an important element of the company’s strategy for achieving success and ensuring competitiveness in the market. Information technology plays a key role in today’s progress. Under modern business conditions, information technology becomes a powerful tool for increasing the competitiveness of an enterprise, becomes a necessary component of its management system, an important element of its international activity. The rapid progress of information technologies requires increased attention to the processes of their implementation and use. Ignoring current digital trends can lead to business degradation. By analyzing different types of information technology, such as customer relationship management systems, marketing process automation, analytics systems, internet marketing and mobile technologies, social media instruments, data analytics and machine learning platforms, the article explores how these tools contribute to improving productivity and achieving the strategic goals of enterprise marketing departments. The given examples of specific programs and platforms, their advantages and disadvantages, plus a detailed analysis illustrate the importance of using information technology for the successful implementation of marketing strategies and ensuring the competitiveness of enterprises in the modern business environment. Information technology plays a crucial role in the progress of modern marketing, assisting businesses in improving the efficiency of their business processes and ensuring a high level of competitiveness.

Objective: to identify the key benefits and potential risks associated with the use of artificial intelligence in ERP systems to improve decision-making processes, management efficiency and operational performance of various sectors, including commercial and non-profit organizations. Methods: systematic literature review, empirical data analysis, analytical and experimental research methods. Results: the key directions of artificial intelligence implementation in ERP-systems are reflected, providing improvement of operational efficiency, customer relations, as well as optimization of business processes, data management, supply chain and personnel management, automation of operations related to finance, optimization of customer relations; implementation of artificial intelligence in ERP-systems reduces inventory management costs, improves the accuracy of forecasting andinventory optimization, accelerates financial analysis and increases the accuracy of budgeting, resulting in reduced budget planning time; it also increases productivity by optimizing necessary production processes and reducing equipment downtime. However, there are also risks of confidential data leakage, unauthorized access to data; job losses due to automation of tasks; and vulnerability to cyberattacks. Scientific novelty: the little-studied directions of artificial intelligence integration in ERP-systems are analyzed; an integrative approach to the application of artificial intelligence in ERP-systems is proposed, which combines methods of machine learning, natural language processing and predictive analytics and provides a comprehensive assessment of the complex impact on the business processes’ efficiency. Practical significance: the formulated directions for solving the identified problems of artificial intelligence integration in ERP-systems can be implemented in practice, as they will enable to better take into account local requirements and laws.