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1
Khyzhniakova, Nadiia. "Statistical and analytical support of ecologically oriented decisions making in the territorial context." Economics: time realities 6, no. 58 (2021): 80–85. http://dx.doi.org/10.15276/etr.06.2021.10.
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The meaning of eco-oriented decisions and their importance for the ecological security level increase and for the territorial sustainable development support are discovered. Spatial aspects of eco-oriented decisions making and their influence on the territorial development are reflected. The essence of statistical and analytical support of eco-oriented decisions making and its role on the territorial level are determined. The conceptual model for ecooriented decisions making statistical and analytical support use in spatial context is constructed. The statistical index system offer to use for the territorial development analysis is formed. The quality requirements for statistical index system and for eco-oriented decisions making statistical and analytical support at whole are formulated.
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Nadiia, O. Khyzhniakova. "Statistical and analytical support of ecologically oriented decisions making in the territorial context." Economics: time realities 6, no. 58 (2021): 80–85. https://doi.org/10.5281/zenodo.6703578.
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The meaning of eco-oriented decisions and their importance for the ecological security level increase and for the territorial sustainable development support are discovered. Spatial aspects of eco-oriented decisions making and their influence on the territorial development are reflected. The essence of statistical and analytical support of eco-oriented decisions making and its role on the territorial level are determined. The conceptual model for eco-oriented decisions making statistical and analytical support use in spatial context is constructed. The statistical index system offer to use for the territorial development analysis is formed. The quality requirements for statistical index system and for eco-oriented decisions making statistical and analytical support at whole are formulated.
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TSISHCHYK, Roman. "STATISTICAL AND ANALYTICAL SUPPORT OF THE PERSONNEL MANAGEMENT SYSTEM OF ENTERPRISES AND ORGANIZATIONS." Regional’ni aspekti rozvitku produktivnih sil Ukraїni, no. 29 (2024): 112–20. https://doi.org/10.35774/rarrpsu2024.29.112.
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ABSTRACT Introduction. Effective personnel management is a key factor in the competitiveness of enterprises and organizations, as it affects their productivity, innovative development and adaptability to market changes. The use of statistical and analytical support in the personnel management system allows for making informed management decisions, increasing the efficiency of personnel work and optimizing personnel policy. However, many enterprises and organizations face difficulties in implementing such methods due to insufficient automation of data collection processes, limited analytical tools and the lack of a single methodological base. Research purpose and methods. The purpose of the article is to determine the essence and place of statistics and analytics in the management system of enterprises and organizations, to substantiate the theoretical and methodological principles of using statistical and analytical tools and systems to optimize personnel processes and to develop practical recommendations for improving the statistical and analytical support of personnel management. The study uses general scientific and special methods, in particular analysis and synthesis, scientific abstraction, system analysis, comparative analysis, generalization, as well as methods of synthesis, induction and deduction for a comprehensive assessment of the statistical and analytical support of personnel management and the formulation of recommendations for its improvement. Results. The article considers the concept of personnel management and its role in the general management system of enterprises and organizations. The focus is on the growing role of statistical and analytical support of personnel management, its feasibility is substantiated and the importance of using HR statistics and analytics to increase the efficiency of enterprises and organizations. The role and main directions of application of statistical and analytical tools in personnel management are defined and detailed. The main problems that arise when integrating statistics and analytics into the personnel management system are identified and characterized. The directions for improving the personnel management process based on modern statistical and analytical methods are substantiated. Conclusions. The implementation of statistical and analytical support allows to significantly improve the efficiency of personnel management due to objective monitoring of personnel processes, increasing the accuracy of forecasting changes in the personnel structure and optimizing the decision-making process. For the successful integration of analytical methods into the personnel policy of enterprises and organizations, it is necessary to automate the collection and analysis of statistical data, train specialists with appropriate competencies and develop methodological foundations for the effective use of HR analytics. Keywords: personnel management, HR manager, statistics, analytics, statistical analysis, statistical data, HR analytics, personnel statistics.
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SOLOMCHUK, L.M. "Statistical support of enterprise management." Market Relations Development in Ukraine №7-8(254-255)2022 152 (November 15, 2022): 113–19. https://doi.org/10.5281/zenodo.7323395.
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Relevance of the research topic. As a distinctive feature of the modern period of economic development, we can note a significant increase in the number of business entities that are forced to make management decisions on a statistical basis. The influence of external factors is increasing, and the consequences of erroneous management decisions are increasing. The new operating conditions of enterprises and industries make the use of statistical technologies in enterprise management relevant. The need for statistical information at all levels from the government to homemakers is growing like an avalanche, thus the need for statistical research is also growing. Statistics is one of the tools of effective management of the enterprise, which uses statistical materials of the State Statistics Service of Ukraine, the results of special surveys, and various analytical developments. At the same time, the attitude towards statistics in society is ambiguous. оптиIn different historical periods, the attitude towards statistics changed. The study showed that domestic statistics is developing in conditions of low statistical literacy of management personnel, a certain mistrust to official statistics, misunderstanding of the importance of state statistical operations, etc. On the other hand, in the conditions of making urgent decisions in crisis situations, statistical data are often ignored. This allows some managers to conclude that statistics is unnecessary. Meanwhile, the results of statistical studies and forecasts, which are based on modern methodological approaches and meet the requirements of international statistical standards, allow to predict the emergence of crisis situations and make effective management decisions in advance. Statistical support of management is a guarantee of high quality and professional management of any enterprise, an indicator that the manager possesses relevant information. Any new initiative is primarily based on an assessment of existing facts and the state of affairs in various sectors of the economy. The purpose of the study is to determine the role of statistical support in modern enterprise management. Research methods. The research used the method of statistical observation, generalization, grouping, comparison, the method of analogy, the method of induction and deduction. Research results. The article reveals the essence and importance of statistical management support for making effective management decisions. Field of application of results. In the practical activities of enterprises of any form of ownership and in the field of economic sciences. Conclusions according to the article. The essence and importance of statistical information as a tool in management for making optimal and rational management decisions is studied.
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Cuentas, Sandra, Rita Peñabaena-Niebles, and Ethel Garcia. "Support vector machine in statistical process monitoring: a methodological and analytical review." International Journal of Advanced Manufacturing Technology 91, no. 1-4 (2016): 485–500. http://dx.doi.org/10.1007/s00170-016-9693-y.
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Belova, Iryna, and Iryna Mushenyk. "INFORMATION AND ANALYTICAL SUPPORT OF LOGISTICS MARKET RESEARCH." Institute of accounting, control and analysis in the globalization circumstances, no. 1-2 (June 4, 2021): 7–23. http://dx.doi.org/10.35774/ibo2021.01-02.007.
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Introduction. Logistics as a type of economic activity plays one of the main roles in the formation and development of market relations, so its study is especially relevant in a market economy. Information resources are one of the most important subsystems of the resource potential of the firm, and information is a key element of logistics operations. The information specifies the needs of the objects of logistics systems and supply chain links. The article investigates that logistics is one of the important components of the state economy and now this component is at the stage of its formation and requires a scientific approach to study; the place of the information and analytical center as an infrastructural component of logistics systems is determined; the information and analytical support of the market research of logistics services is substantiated and the system of statistical indicators of the research of this market is formed. It is determined that the prospects for the development of the logistics services market in Ukraine directly depend on the state of the country's economy. Methods. The following scientific methods were used in the research process: inductions and deductions - in the process of studying the general tendencies of logistics development in Ukraine; analysis and synthesis - during the theoretical generalizations, the formation of appropriate conclusions; bibliographic - research of literary sources to obtain the necessary information on the research topic; method of associations and analogies - for the proposed new ideas and suggestions that arise from comparison with other more or less similar objects. Results. Logistics in Ukraine is developing in accordance with world trends, has a significant impact on the economic potential of the country, stimulates the development of related, interconnected and complementary industries, is a reflection of the competitiveness of our country in the world. Logistics efficiency is now at the forefront of the agenda for professionals, private firms, and international organizations. Thus, the logistics of information flow is relevant in the field of logistics. Information resources are one of the most important subsystems of the resource potential of the firm, and information is a key element of logistics operations. The current level of logistics development requires constant improvement and introduction of new information systems. Discussion. The main task set during the writing of the article is to substantiate the feasibility of using logistics services in Ukraine, taking into account the peculiarities of business globalization. Keywords: logistics, segment, logistics market, data sources, information and analytical support, logistics services market, statistical indicator.
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Iershova, Natalia. "ACCOUNTING AND ANALYTICAL SUPPORT OF THE MARKETING ACTIVITY OF THE ENTERPRISE." Energy saving. Power engineering. Energy audit., no. 7-8(173-174) (February 21, 2023): 3–11. http://dx.doi.org/10.20998/2313-8890.2022.07.01.
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In the article, the theoretical and practical aspects of accounting and analytical support for the marketing activities of an enterprise are considered. The significance of marketing activities for business entities is proved on the basis of statistical analysis. The author's opinion on the place and role of accounting and analytical support in the system of managing the marketing activities of an enterprise is presented. The functions of accounting and analytical support for the marketing activities of the enterprise are summarized. The author's idea of the system of accounting and analytical support for the marketing activities of the enterprise is formulated. The main tasks of an accountant for the proper organization of analytical work are formulated.
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YATSYNA, Yulia Oleksandrivna. "INNOVATIVE ANALYTICAL AND STATISTICAL TECHNOLOGIES AS A TOOL FOR MONITORING AND COUNTERACTING CORRUPTION." Epistemological Studies in Philosophy Social and Political Sciences 6, no. 1 (2023): 145–56. http://dx.doi.org/10.15421/342319.
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The article focuses on exploring the directions for implementing innovative analytical-statistical technologies as a tool for monitoring and detecting corruption in the state. To achieve this goal, the author clarifies the content of key concepts, defines the essence of innovative analytical-statistical technologies, and analyzes the applications of these technologies as elements of the state’s anti-corruption policy. It is determined that modern analytical-statistical technologies are integral to information technologies, which have emerged as a separate branch of production known as the information industry. Information technologies, including analytical-statistical ones, are realized through information systems, which combine technical tools (computers, communication devices and channels, peripherals, input/output devices, etc.) with software applications that facilitate the functioning of the technical components and analytical aspects, including the mathematical component (statistics). The use of analytical-statistical technologies as a tool to counter corruption at the state level is driven by the specificity of the corruption identification process. The application of relevant technologies is possible when perceiving corruption as a form of fraud. Therefore, the search for corruption in modern society requires a comprehensive approach, utilizing mathematical, analytical, and psychophysical research methods. This approach enables not only the identification but also the prediction of probable instances of abuse. Five directions for implementing innovative analytical-statistical technologies in anti-corruption activities are identified: 1) automation of data collection and processing; 2) automation of communication and office processes; 3) automation of direct management processes; 4) automation of decision-making processes and development; 5) development of expert systems. It is noted that analytical-statistical technologies find the most implementation in four of the identified directions: data collection/processing, direct management, decision support, and expert support.
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HRYNCHAK, N. "Studies of the Logistics Services Market: Information and Analytical Support and a System of Statistical Indicators." Scientific Bulletin of the National Academy of Statistics, Accounting and Audit, no. 3 (December 22, 2020): 5–11. http://dx.doi.org/10.31767/nasoa.3-2020.01.
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Information and analytical database for the market support is required to prevent communications of contradictory information to higher levels of management, with adverse effects for the process of taking rational management decisions. The article’s objective is to substantiate the information and analytical support for studies of the logistics services market, with constructing a system of statistical indicators for this market assessment, to be laid as the solid basis for elaborating medium-term and long-term strategies and policies of the logistics services market in Ukraine. 
 A definition of information and analytical support for studies of the logistics services market is given; a review of secondary sources of data for this market studies is made. A conceptual model for information and analytical studies of the logistics services market is proposed. The key statistical indicators for studies of this market are identified, with substantiating the feasibility of their use in computing multivariate indicators for the assessment of performance and capacities of the logistics services market in Ukraine. The core criteria to be met by the abovementioned system of statistical indicators are highlighted. A system of statistical indicators for the assessment of the logistics services market is proposed, containing four modules. It allows for diagnosis of this market performance and tendencies, with accounting for the impact of other related markets and activities, and for forecasting. This system, constructed with consideration to the global practice, is designed for comprehensive studies of the logistics services market.
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Матросова, Lidiya Matrosova, Семенов, and Evgeniy Semenov. "Prediction of road safety indicators based on statistical analysis." Central Russian Journal of Social Sciences 11, no. 3 (2016): 55–60. http://dx.doi.org/10.12737/20384.
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The article examines the problems of organization of the comprehensive statistical analysis using automated information systems for processing information of traffic accidents. To solve the problems the Multiparameter information-analytical system (MIAS) of monitoring, analysis and prediction of the situation in the field of road safety was developed. The system allows to estimate thresholds of situation indicators in the field of road safety as a subject of operational and annual information by using methods of statistical analysis. It is used as an information-analytical support of making decisions in the traffic police departments.
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Mitsel, Artur, Aleksandr Shilnikov, Pavel Senchenko, and Anatoly Sidorov. "Enterprise Compensation System Statistical Modeling for Decision Support System Development." Mathematics 9, no. 23 (2021): 3126. http://dx.doi.org/10.3390/math9233126.
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This article raises the issue of decision support system (DSS) development in enterprises concerning the compensation system (CS). The topic is relevant as the CS is one of the main components in human resource management in business. A key element of such DSSs is CS models that provide predictive analytics. Such models are able to give information about how a particular CS affects output, product quality, employee satisfaction, and wage fund. Thus, the main goal of this article is to obtain a CS statistical model and its formulas for determining the probability densities of resultant indicators. To achieve this goal, the authors conducted several blocks of research. Firstly, mathematical formalization of CS functionality was described. Secondly, a statistical model of CS was built. Thirdly, calculations of CS result indicators were made. Reliable scientific methods were used: black box modeling and statistical modeling. This article proposes a statistical and analytical model. As an example, a piecework-bonus system statistical model is demonstrated. The discussion derives formulas of integral estimations showing the probability density of the resulting CS indicators and the related statistical characteristics. These results can be used to predict the behavior of the workforce. This constitutes the scientific novelty of the study, which will establish significant advances in the development of DSSs in the field of labor economics and HR management.
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Rahman, Md Sazedur, Jannatun Ferdous, Tanjim Taharat Aurpa, Md Mahfuzul Haque, Md Abul Kalam Azad, and Md Ahsan Habib. "Statistical Trends in Wind Speed for Khulna, Bangladesh: An Analytical Approach." Journal of Scientific Reports 7, no. 1 (2024): 213–25. http://dx.doi.org/10.58970/jsr.1052.
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This study aims to examine the characteristics of the speed of wind and evaluate the prospective of wind power in Khulna, Bangladesh, from 2019 to 2023 using numerical methods. The research involves modeling wind speed data with probability density functions, specifically Weibull and the Rayleigh distributions, every month. By determining the parameters of these distributions, the study seeks to assess how wind power varies over time and its potential for energy generation. The insights gained from comparing these distributions are intended to support decision-making in renewable energy planning, infrastructure investment, and resource allocation. The study's relevance lies in its potential to provide valuable information for effectively harnessing wind energy and making informed decisions about renewable energy utilization.
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Spirin, O., T. Novytska, and A. Іatsyshyn. "DIGITAL LIBRARY AS A SOURCE OF STATISTICAL DATA FOR INFORMATION-ANALYTICAL SUPPORT FOR PEDAGOGICAL STUDIES." Information Technologies in Education 2, no. 35 (2018): 7–26. http://dx.doi.org/10.14308/ite000664.
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Safonova, M. F., and A. Yu Alekseenko. "Statistical Techniques for Planning Internal Audit Engagements and Analytical Procedures Selection." Accounting. Analysis. Auditing 8, no. 4 (2021): 51–68. http://dx.doi.org/10.26794/2408-9303-2021-8-4-51-68.
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The planning an audit engagement is the most important component that determines the effectiveness of internal audit services, both from the standpoint of improving the efficiency of the company and users of the results of the internal audit work. The use of statistical tools during the planning phase of the audit engagement can be considered as a component of a risk-based approach to internal audit. This research applies such statistical instruments as the normal distribution, the Kolmogorov–Smirnov test and regression analysis. The methodological support improvement of the internal audit process is one of the ways to perfect a guarantees quality and advice provided by the internal audit unit, as well as to minimize labor costs at the stage of planning an audit and determining the scope of the audit. There had being used such general methods of scientific knowledge as observation and comparison of data, analysis and synthesis, scientific abstraction during the research course. The proposed risk-based methodology for defining the scope and objectives of internal audit engagements using statistical tools was developed in conformity with the International Framework for the Professional Practice of Internal Auditing (Supplementary Guide “Planning an Audit Engagement: Defining Objectives and Scope”). The scope of analytical procedures formed in the process of planning the audit engagement allowed to cover the areas of the process that are most at risk of deviations. The practical significance of the study is considered by the possibility of applying the proposed methodology to define the audit assignment scope and its purpose, select the most effective analytical procedures, and minimize the labor costs of the working group. The developed methodology can be used for the work process organization in internal audit departments of business entities; some of its provisions can be applied in order to conduct a self-assessment of the effectiveness of the internal audit function. The use of statistical data analysis tools and publicly available information processing tools can improve the effectiveness of the internal audit function by the way of focusing on the most risky areas of the audited process. The developed methodological support is based on a risk-oriented approach.
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Budko, Oksana. "INFORMATION SUPPORT FOR THE MANAGEMENT SYSTEM OF HEALTHCARE INSTITUTIONS IN THE CONTEXT OF SUSTAINABLE DEVELOPMENT." ECONOMIC BULLETIN OF THE DNIPROVSK STATE TECHNICAL UNIVERSITY, no. 1(10) (June 16, 2025): 158–65. https://doi.org/10.31319/2709-2879.2025iss1(10).332742pp158-165.
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The article defines the concept of information support within the management system of a healthcare institutions (HCIs) and identifies its key components: accounting, analytical, control, statistical, regulatory, legal, personnel, and technical support. Particular attention is given to the features of accounting support, which plays an increasingly significant role in the context of implementing a sustainable development strategy. The article outlines the specifics of analytical support in healthcare management and elucidates the essence of control mechanisms aimed at identifying risks that may potentially hinder the sustainable development of healthcare institutions. The paper also explores the characteristics of statistical support within the HCI management system. The importance of regulatory and legal frameworks as integral elements of the institutional environment for information systems in healthcare management is emphasized. Additionally, the study highlights the roles of personnel and technical support as vital functional components of information provision. Finally, the article identifies key challenges in the development of information support components and proposes practical solutions to address them.
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HRYTSUN, Viktoriia. "STATISTICAL SECURITY OF ECONOMIC MANAGEMENT." Herald of Khmelnytskyi National University. Economic sciences 318, no. 3 (2023): 180–85. http://dx.doi.org/10.31891/2307-5740-2023-318-3-28.
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Modern integrated economic statistics is a set of economic and statistical data that reflect a consistent and holistic picture of economic activity for political, commercial and other analytical purposes. In analyzing the historical aspect of the emergence and development of statistical practice, we have shown that its origin occurred around the time when the state emerged. There is information about the elementary recount (census) of population and land, which was conducted several millennia ago. With the formation of a centralized state and especially with its development, the scope of statistics has expanded significantly. It is established that the statistical support of effective development of enterprises of Ukraine in the scale of a particular industry can be realized according to official statistics, namely: statistical observations of the volume of sold industrial products and operating costs of sold products. It is emphasized that today the volume and structure of data presented on the official website of statistics of Ukraine, is considered insufficient for full information support of management processes of industrial enterprises. The approaches of scholars to the interpretation of the role of statistical methods of analysis for successful economic management are considered. The basic mathematical and statistical methods are listed and their short characteristic is given. It is established that the profitability indicator is chosen as a general indicator of efficiency and technological level of enterprises of the studied industries. Construction of the economic and mathematical model of profitability of products of separate industries made it possible to reveal production reserves to increase the efficiency of the enterprises. For mechanical engineering it means reducing the capital intensity of products used funds (depreciation). For metallurgy it means a reduction in material and labor intensity of products. For the production of chemical products it is reducing material consumption. When choosing statistical methods for studying socio-economic phenomena, it is necessary to take into account their interconnectedness and interdependence. Based on the results, the priority for the development of management decisions for the effective development of processing enterprises should be to increase the degree of processing of raw materials (to increase the technological level of production), increase productivity of fixed assets and increase final consumption.
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BONDARUK, Oleg. "IMPROVEMENT OF STATISTICAL OBSERVATION IN THE FINANCIAL AND ECONOMIC SECURITY MANAGEMENT SYSTEM OF THE BUSINESS SECTOR." Herald of Khmelnytskyi National University. Economic sciences 322, no. 5 (2023): 9–15. http://dx.doi.org/10.31891/2307-5740-2023-322-5-1.
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The study updates the issues of the state approach to the formation of information and analytical support for the state of financial and economic security of the entrepreneurial sector of the national economy based on the construction of a system of appropriate statistical observation. The purpose of the study is to improve statistical monitoring in the financial and economic security management system of the entrepreneurial sector of the national economy of Ukraine. The advantages and disadvantages of the existing in Ukraine statistical monitoring of parameters of financial and economic security of entrepreneurship are determined. The existing system of monitoring and diagnosis of the functioning and development of the small business sector in Ukraine and its aspects in the context of economic security are summarized. The sequence of strategic diagnosis of the state of business entities according to J. Thibault is highlighted. The system of objects of statistical observation of financial and economic security of the entrepreneurial sector of the national economy is defined. It was concluded that in Ukraine it is necessary to introduce statistical monitoring of the state of parameters of financial and economic security of entrepreneurship. The information collected in this way will serve as a sufficient analytical basis for identifying the shortcomings of the regulatory and legal environment of domestic business and developing, on this basis, high-quality, effective management decisions to overcome the most significant obstacles to strengthening the financial and economic security of entrepreneurship in Ukraine. The scientific novelty of the research results lies in the improvement of the methodological and applied principles of the state policy of forming statistical monitoring of the financial and economic security of the business sector. The applied value of the research results lies in the improvement of the system of information and analytical support for the management of financial and economic security of the entrepreneurial sector of the national economy of Ukraine.
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Chernetska, Olga, and Dmytro Chernetskyi. "Enterprise management system analytical tools." Economics Entrepreneurship Management 10, no. 2 (2023): 8–16. http://dx.doi.org/10.56318/eem2023.02.008.
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High-quality information and analytical content can be used as a basis for making optimal and informed management decisions by analysing the impact of factors on business efficiency, which will allow us to explore the weaknesses of an enterprise and plan the directions of its strategic development. The study aims to provide a scientific synthesis of theoretical aspects and outline practice-oriented approaches to organising analytical support for the management system at an enterprise. The following methods were used: theoretical aspects were analysed using the generalisation, systematisation and grouping methods; the use of statistical analysis and business process modelling methods for the needs of enterprise management was analysed; the components of Data Science analysis were considered; the main material was presented using the descriptive method. Analytical tools of the enterprise management system were analysed. The emphasis is placed on the procedures of statistical analysis and modelling of business processes, application of Data Science tools and visualisation methods. The external and internal sources of information for the needs of enterprise management are allocated. Varieties of analytical tools that contribute to understanding the essence of problematic issues and determine the search for optimal and reasonable management decisions are presented. The SWOT-analysis matrix as an instrument for optimal combination of information modelling methods, analytical procedures and visualisation of the analysis results is presented. The need to use IT tools to improve the quality of the results of analytical procedures is emphasised. The expediency of developing analytical tools for the needs of optimising the enterprise management system using Data Science technology is substantiated. The advantages of using Big Data for making management decisions are determined. The components of Data Science analysis in the enterprise management system are allocated. The possibility of solving business problems or determining the enterprise development strategy by structuring and visualising a large array of data to identify patterns of enterprise development is emphasised. The tools of analytical support for the needs of organising the system of economic security of enterprise are generalised. The practical value of the work lies in the fact that an algorithm of actions for organising analytical support of the management system at an enterprise is proposed
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Gapon, Valentyna, and Olena Barabash. "INFORMATION AND ANALYTICAL SUPPORT FOR THE FORMATION AND ANALYSIS OF STATISTICAL INDICATORS OF GENERAL SECONDARY EDUCATION." Educational Analytics of Ukraine, no. 3 (2019): 18–31. http://dx.doi.org/10.32987/2617-8532-2019-3-18-31.
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Avdeenko, Alexey Mikhailovich, Alexey Petrovich Satin, Vuong Anh Nguyen, and Georgy Nikolaevich Lokhvitsky. "Information and analytical support for managers in organizing fire prevention based on statistical analysis of databases." Technology of technosphere safety 102 (2023): 79–97. https://doi.org/10.25257/tts.2023.4.102.79-97.
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Introduction. Currently, due to the suspension of control and supervisory activities, state fire supervision units are carrying out a lot of work on fire prevention in order to reduce the number of fires through preventive measures. Existing regional information databases for recording fires make it possible to obtain the necessary information about these fires: from the time of reporting to the quantitative characteristics and damage caused. This information allows you to solve a number of problems and use statistical data on fires and their consequences with further development towards the use of artificial intelligence methods to predict the effectiveness of ongoing preventive measures. The result of such work may be testing the hypothesis about the impact of preventive measures on the cleanliness of fires in a particular municipality. Goal and task. The purpose of the study is to provide information support for management by managers of the organizational system of state fire supervision, compliance with preventive measures in an operational situation with fires, depending on the size of the settlement. To achieve the goal, it is necessary to perform cluster analysis of the data, create a prototype of a classifying neural network and construct a histogram for testing the null hypothesis of the Shapiro-Wilk test. Methods. Cluster analysis and intelligent analysis of data on fires in the selected territory were adopted as a scientific basis. Results and discussion. The expected result is information support for the heads of state fire supervision, which will improve the process of planning the work of the engineering and inspection staff of departments and improve the quality of preventive work. Conclusions. Based on the results of computational experiments, it was possible to come to the conclusion that the effectiveness of preventive measures depends on the size of the municipality and the size of the living population. It is proposed that heads of local fire supervision units, when planning the activities of employees, take into account the current operational situation with fires and pay attention to the content and quality of preventive measures, especially in mixed and rural municipalities (type 2 and type 3). The use of modern methods of data mining makes it possible to provide information support to the heads of state fire supervision when organizing preventive measures for the selected municipality. Keywords: fire; prevention; integral fire risk; municipality; cluster analysis; neural network.
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Medvid, Mykhailo, Peter Ivashchenko, Igor Britchenko, Iryna Trubavina, and Volodymyr Liutyi. "Decision support information and analytical technology in discharge military personnel employment." SHS Web of Conferences 107 (2021): 05001. http://dx.doi.org/10.1051/shsconf/202110705001.
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The research material proposes the use of decision support information-analytical technology in discharge military personnel employment, which, in contrast to the usual processing of survey results, makes it possible to obtain more information for decision-making. Adherence to such an approach in the development of public administration mechanisms increases the likelihood that in the case of their implementation in the country there will be positive changes, as they will indirectly take into account the availability of necessary resources. Information and analytical technology to support decisions in the field of labor economics substantiates the development of the example of discharged military personnel social welfare. According to the content, the developed decision support information-analytical technology in the field of labor economics provides for the following components: formation of social protection mechanisms; development of a questionnaire on the use of the appropriate mechanism; statistical analysis of survey results (generation of empirical distributions of answers to questions relative frequencies; comparison of answers medians; correspondences analysis; factor analysis; analysis of hierarchies); meaningful interpretation; decision making.
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Shvetsova, Angela A., and Anna V. Zviagintseva. "INFORMATION ANALYSIS DECISION SUPPORT SYSTEM FOR STRATEGIC PLANNING OF REGIONAL AND URBAN DEVELOPMENT." SOFT MEASUREMENTS AND COMPUTING 1, no. 11 (2020): 55–66. http://dx.doi.org/10.36871/2618-9976.2020.11.005.
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In practical applications, the tasks of strategic planning are complex and require many variant calculations when studying various scenarios, which are characterized by significant uncertainty in the forecast estimates. In this regard, the use of a complex of various means of information and analytical support for the activities of analysts and experts is relevant. Within the framework of this question, an information and analytical decision support system is proposed, focused on automating computational procedures in strategic planning. The system is organized on the basis of the Statistica computing platform and includes the platform's software tools, developed macros for describing and presenting statistical and analytical models, as well as decision support modules. The capabilities of the system are shown by specific examples of establishing patterns of development of Russian regions and cities in the real sector of the economy. The corresponding generalized models characterizing the state and development of regions by seven specific indicators in the period from 2012 to 2018 and by four specific indicators characterizing the development of cities in the period from 2003 to 2017 are obtained. It is established that the obtained models of collective behavior, presented in the form of equations of state, do not depend on time, but are determined only by the values of the achieved indicators. The proposed system allows you to increase the efficiency of the decisionmaking process, reduce the time and cost of developing strategic planning documents
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Rolenec, Ota, Martin Sedláček, and Martin Vlkovský. "Constructive Simulation in Tactical Level Planning: Options for Optimizing Engineer Support." Vojenské rozhledy 33, no. 4 (2024): 051–69. https://doi.org/10.3849/2336-2995.33.2024.04.051-069.
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This article deals with the use of constructive simulation software in the planning process of military engineer staff personnel. The possibilities regarding the implementation of MASA SWORD simulation software are demonstrated on specific data from the Engineer Support Management Course, with overlapping applications to other specialized military troops. Three scenarios were used for the simulations, which were practiced and verified during the course’s exercise. Each scenario was evaluated in silico within the simulation environment, incorporating analytical and graphical outputs. Utilizing the MASA SWORD analytical module, each scenario underwent comparative analysis using statistical tests to assess the fulfilment or failure of the assigned task. The findings emphasize the promising role of constructive simulation in enhancing military personnel training and planning process on tactical level.
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Aliyev, Elchin, Elmar Aliyev, and Adilya Ali. "ANALYTICAL SUPPORT OF THE MICROCREDITING PROCESS USING A FUZZY INFERENCE SYSTEM." Journal of Automation and Information sciences 4 (July 1, 2021): 48–60. http://dx.doi.org/10.34229/1028-0979-2021-4-5.
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A comprehensive analysis of the applicantʼs solvency for obtaining a microcredit precedes the conclusion of a loan agreement with him. This allows to determine the risk factors associated with the possibility of non-repayment of a bank loan in due time, and, on the contrary, to assess the likelihood of timely repayment of the loan. Therefore, the assessment of the clientʼs creditworthiness is an integral part of the work of commercial banks and microfinance organizations to determine the possibility of issuing microloans to one or another applicant. The paper proposes a balanced approach to the multi-criteria assessment of the solvency of individuals, based, among other things, on a fuzzy analysis of their solvency indicators. The developed fuzzy inference system in combination with statistical methods for assessing solvency, can serve as an analytical core for a credit decision support system. Based on the example of ten hypothetical alternative borrowers, characterized by their current indicators, the corresponding assessments of their solvency were made, including scoring, Pareto method, Bord method and using a fuzzy inference system. Such a combined approach is distinguished by the ability to identify reliably a group of individuals with high credit discipline and the characteristics of those in relation to whom credit decisions are classified as high-risk.
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PRAVDIUK, Nataliia. "ACCOUNTING AND ANALYTICAL SUPPORT STRATEGY SUSTAINABLE DEVELOPMENT OF ENTERPRISE." "EСONOMY. FINANСES. MANAGEMENT: Topical issues of science and practical activity", no. 4 (44) (April 2019): 130–43. http://dx.doi.org/10.37128/2411-4413-2019-4-15.
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The purpose of the article - the detection range of issues of accounting and analytical support sustainable development and scientific substantiation of theoretical and methodological guidelines for their decision management in the agricultural business. Research methodology. The methodological basis of the study is the historical-logical method used in the study of the essence of the strategy of sustainable development. The dialectical method has been used in the study of the information management of the strategy of sustainable development of the enterprise. When analyzing the performance of the financial condition of agricultural enterprises for the 2013-2017 biennium. Methods used functional and statistical analysis. The method of comparison is used to study and compare the domestic and foreign experience of carrying out the accounting estimation of sustainable development. To clarify the content of accounting and analytical support sustainable development strategy used methods of abstraction, synthesis, induction and deduction, specification and other methods of scientific knowledge. The results of the research. Based on the substantiation of the importance of developing and implementing the strategy of sustainable development of the enterprise in the conditions of the modern business environment, the structure of the information management of the strategy of sustainable development management, which includes information resources generated by the external and internal environment of the enterprise, was investigated. It was established that the basis of internal information management of the strategy of sustainable development of the enterprise is the accounting and analytical system of the enterprise. To form a qualitative accounting and analytical support for management of the sustainable development strategy, a clarified understanding of the accounting and analytical support of the strategy of sustainable development, taking into account the specifics of the activities of agrarian enterprises, is substantiated, and the necessity of improving normative support in collecting information about the state of social and ecological capital according to typical reporting forms is substantiated. Elements of scientific novelty. A clarified understanding of the accounting and analytical support of the sustainable development strategy is proposed, taking into account the specifics of the activities of agrarian enterprises, the need to improve regulatory support in collecting information on the state of social and ecological capital by typical reporting forms. Practical significance. The proposals outlined in the article will help solve the problems of accounting and analytical support for the formation of a strategy for sustainable development of the industry and agribusiness. Tabl .: 6. Fig. 2. Bibliographer: 17.
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Mykhailenko, Olha, Liudmyla Solomchuk, and Svitlana Skomorohova. "ANALYTICAL AND STATISTICAL RESEARCH OF THE INVESTMENT MARKET OF UKRAINE: STATE, CHALLENGES AND DEVELOPMENT PROSPECTS." Economic scope, no. 200 (May 9, 2025): 307–12. https://doi.org/10.30838/ep.200.307-312.
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The article considers the main issues regarding the essence of investments and the investment market, taking into account geopolitical and economic instability, the importance of attracting investments for the reconstruction of the country, changes in legislation and international support, the search for new investment formats and the formation of the state's investment policy. The need to study the investment market is determined by geopolitical and economic instability, the importance of attracting investments for the reconstruction of the country, changes in legislation and international support, the search for new investment formats and the formation of the state's investment policy. The purpose of the article is to study the state and prospects for the development of the investment market of Ukraine, taking into account the current state of the economy and internal and external risks. Investment market research requires a comprehensive approach using both general scientific (analysis and synthesis, induction and deduction, comparison, abstraction and modeling) and specialized methods (time series analysis, correlation and regression analysis, SWOT analysis and PEST analysis). Also, special methodological techniques are used in the research process, such as expert survey, scenario forecasting, SWOT matrices and comparative analysis of investment attractiveness of regions/industries. These methods allow for a deeper understanding of the structure, trends and prospects for the development of the investment market. The study of the investment market allowed us to identify growth points for directing resources to the most promising sectors. It was found that despite the challenges associated with the war and economic difficulties, Ukraine has significant potential for attracting investment. Support from international partners, post-war reconstruction, and the development of strategic sectors can make the country attractive to foreign and domestic capital. Thus, research into the Ukrainian investment market has not only scientific but also applied value for government agencies, businesses, international partners, and development institutions.
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Chaikovskaya , L. A., та S. B. Baurina. "Сharacteristics of the Accounting and Analytical Space for Innovation in the Gas Industry". Accounting. Analysis. Auditing 6, № 6 (2020): 34–41. http://dx.doi.org/10.26794/2408-9303-2019-6-6-34-41.
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The article is devoted to the study of the accounting and analytical space of innovation in the gas industry. The methodological framework of the study includes system-functional and economic-statistical analysis, comparison, as well as the elements of the accounting method. The concept of “accounting and analytical support for the activity” is specified, the main elements of the system of accounting and analytical support are considered in the article. Based on the analysis of world experience in organizing cost accounting at gas industry enterprises, the specificity of innovative development of the gas industry is indicated. The features of the accounting and analytical support system for innovative activities in the gas industry are determined. The directions of improving the accounting and analytical support for innovation are proposed. Theoretically substantiated and systematized are the results of a study of a set of issues related to the formation of the accounting and analytical space for innovation in the gas industry. The results of the study may be of interest to the specialists and the managers of gas industry enterprises when defining the development strategies; as well as the experts of analytical groups in the preparation of the information-analytical studies on the development directions of the domestic hydrocarbon market.
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Oksana, Mulesa, Snytyuk Vitaliy, Trombola Mykhailo, and Ivazkevych Viktoriia. "DESIGN OF INFORMATION TECHNOLOGY CLASSIFICATION BASED ON MEDICAL DATA." TECHNOLOGY AUDIT AND PRODUCTION RESERVES 4, no. 2 (54) (2020): 10–14. https://doi.org/10.15587/2706-5448.2020.210671.
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<em>Decision-making processes associated with assigning a person to a risk group for diseases are accompanied by the need to analyze large volumes of medical and social data. At the same time, a qualified doctor must operate both the patient's personal data and the relevant treatment protocols and instructions. Early prediction of the risks of disease occurrence allows medical workers to plan, develop a system of preventive measures, and the like. Therefore, the object of research is to support and provide information and analytical support for decision-making processes for early predicting the risks of diseases in individuals based on medical data. Such support is necessary to analyze the experience of a medical worker, which is recorded in the form of statistical data. One of the most problematic areas at the design and implementation stage of relevant information technology is the collection and analysis of statistical data on the problem under study.</em> <em>The study was carried out in accordance with the systematic approach methodology. All stages of the design of information technology for forecasting based on medical data correspond to the stages of a systematic approach: systematization, formalization, goal orientation. The developed technology is based on the classification method based on Wald's sequential analysis.</em> <em>The research resulted in:</em> <em>- built a mathematical model of the problem of predicting the risks of disease occurrence as a classification problem;</em> <em>- a functional diagram of an information and analytical system has been developed to solve the classification problem based on medical data. The analytical core of the information and analytical system is formed by algorithms for statistical data processing, as well as a classification method based on Wald's sequential analysis;</em> <em>- experimental verification of the developed technology for the task of predicting the occurrence of dentoalveolar anomalies in children has been performed. Based on the available statistical data, a differential prognostic table was constructed. All calculations are performed. The examples demonstrate the effectiveness of the developed technology.</em> <em>The developed information technology can be used by medical workers in the process of early forecasting of the risks of disease.</em>
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Zheng, Jiayin, Peijin Wang, Yixin Wang, and Shein-Chung Chow. "Statistical tests for detecting reference product change in biosimilar studies." Generics and Biosimilars Initiative Journal 12, no. 2 (2023): 50–60. http://dx.doi.org/10.5639/gabij.2023.1202.009.
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For the biosimilarity assessment between a test product and a reference product, the US Food and Drug Administration (FDA) recommends a stepwise approach for obtaining totality-of-the-evidence in support of regulatory approval of the submission. The stepwise approach starts with conducting an analytical similarity assessment of certain critical quality attributes that are relevant to clinical outcome; however, potential drift in mean response and/or variability associated with the reference product over time may be observed. When there is a drift, it is of interest to determine which lots should be used for analytical similarity assessments. In this article, statistical tests for detecting possible drifts in mean and/or variability are derived. In summary, a statistical method is proposed that performs well to detect drift in the mean/variability of biological products while controlling false positive rates and maintain desired true positive rates even when the number of lots is large.
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Zamula, Iryna, and Dmytro Liudvenko. "INFORMATION SUPPORT AND DEVELOPMENT OF ORGANIC PRODUCTION." Green, Blue and Digital Economy Journal 1, no. 2 (2020): 1–7. http://dx.doi.org/10.30525/2661-5169/2020-2-1.
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The purpose of the paper is to justify the organizational and methodological provisions and to develop practical proposals for improving the information support of organic production delineating ways to advance the accounting system. To achieve this goal, we were focused on the next tasks: determination of the essence of the state and directions of development of organic production, research of legislative requirements for accounting of organic production and improvement of its accounting information support. Methodology. During the research, the following general and specific scientific methods were used: theoretical generalization, analogy, statistical observation, analysis, synthesis, scientific abstraction, critical analysis of accounting issues. Results. In the paper, the following issues were investigated: the place of Ukraine in the organic products market, the main advantages and disadvantages of organic products, ways to improve the information support for the development of organic products. It is proved that the establishment of organic agricultural production in Ukraine requires the development of its accounting support. According to the emergence of such support, it is possible to expect the development of this segment of the agricultural sector. Practical implications. In this paper, the accounting of organic production is improved considering the necessity of coordination of economic, social, and ecological activities of agricultural enterprises by making documentation of business operations related to organic production, confirming the need for internal control of organic production costs to improve their management efficiency, establishing a work plan of accounts regarding the formation of separate analytical accounts for the process of receipt of biological assets, producing organic products and selling them, as well as creating separate analytical accounts to determine the financial result (based on the proposed analytical calculations, the process of creating production costs and determining revenues can be simplified; if cross-production is carried out at an enterprise, then this technique will help to determine the benefits of organic production over conventional production easily), developing a system of financial and statistical reporting indicators for organic enterprises. Value / originality. The improvement of accounting and internal control system can provide the information with the required level of detail to meet the needs of interested users and to make such management decisions that will help to preserve natural resources and reduce the negative impact of enterprise activity on the environmental situation in Ukraine.
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Wu, Junfeng, Xiaofeng Wang, and Xuanqin Mou. "Statistical Interior Tomography via L1 Norm Dictionary Learning without Assuming an Object Support." Tomography 8, no. 5 (2022): 2218–31. http://dx.doi.org/10.3390/tomography8050186.
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Interior tomography of X-ray computed tomography (CT) has many advantages, such as a lower radiation dose and lower detector hardware cost compared to traditional CT. However, this imaging technique only uses the projection data passing through the region of interest (ROI) for imaging; accordingly, the projection data are truncated at both ends of the detector, so the traditional analytical reconstruction algorithm cannot satisfy the demand of clinical diagnosis. To solve the above limitations, in this paper we propose a high-quality statistical iterative reconstruction algorithm that uses the zeroth-order image moment as novel prior knowledge; the zeroth-order image moment can be estimated in the projection domain using the Helgason–Ludwig consistency condition. Then, the L1norm of sparse representation, in terms of dictionary learning, and the zeroth-order image moment constraints are incorporated into the statistical iterative reconstruction framework to construct an objective function. Finally, the objective function is minimized using an alternating minimization iterative algorithm. The chest CT image simulated and CT real data experimental results demonstrate that the proposed approach can remove shift artifacts effectively and has superior performance in removing noise and persevering fine structures than the total variation (TV)-based approach.
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CYMBAL, Oleksandr, Yaroslav OSTAFIYCHUK, and Oksana PANKOVA. "DIGITAL METHODS AND TECHNOLOGIES OF FORMING AN INNOVATIVE LABOUR MARKET INFORMATION SUPPORT SYSTEM IN UKRAINE." JOURNAL OF EUROPEAN ECONOMY, Vol 22, No 3 (2023) (September 1, 2023): 471–96. http://dx.doi.org/10.35774/jee2023.03.471.
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Digitalization processes bring about radical transformations in the content and nature of work, leading to shifts in the demand for certain skills and abilities and the emergence of new occupations. Traditional survey-based sources of information about the labour market prove insufficient to track these changes for employment policy purposes. In this article, the authors reveal alternative data sources on the labour market, made possible due to the development of new digital technologies, and delineate their respective advantages and drawbacks. Additionally, the authors systematize international experiences in leveraging digital technologies and Big Data for statistical and information-analytical research on the labour market. Having analysed the leading research-analytical projects in the USA, Great Britain, and EU countries, the authors found them to be focused on constructing functional intellectual and analytical systems for the labour market. These projects aim to develop methodologies and promote widespread adoption of digital tools for working with Big Data, significantly expanding the capabilities of labour market information and analytical systems. The authors examined specific projects that used Big Data from online job vacancies to assess the demand and supply of jobs, as well as to analyse and forecast the requirements for skills and competences that would be feasible for adoption in Ukraine. Big Data from specialized online portals, servers and services were found to serve as powerful resources to supplement and enrich the existing conventional system of labour market statistics and analytics. Finally, the authors substantiate the need and expediency of creating a fundamentally new Labour Market Information and Analytical System (LMIAS) in Ukraine and coordinating it with labour market platforms in EU countries. They also identify a range of problematic issues that require in-depth research and resolution in Ukraine, such as ensuring the representativeness of online job vacancy data, improving the classifiers of occupations, abilities and skills, and introducing methods for integrating statistical, administrative, and Big Data on the labour market.
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Hrynkevych, Olha, Petro Ostroverkh, Svitlana Kvak, and Vasyl Hrynkevych. "STATISTICS OF INNOVATION IN INFORMATION AND ANALYTICAL SUPPORT OF CIRCULAR ECONOMY DEVELOPMENT." Visnyk of the Lviv University. Series Economics, no. 61 (December 29, 2021): 122–36. http://dx.doi.org/10.30970/ves.2021.61.0.6110.
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Abstract. The article aims to substantiate the areas for improvement in the innovation statistics in Ukraine for information and analytical support of circular economy development. The lack of a measurement framework for the study of this model of economic development in Ukraine, as well as the understanding of the circular economy as a basis for the SDG implementation determine the relevance of the subject study. The authors focus on the following research questions: 1. To what extent are the indicators of SDG implementation in Ukraine related to the principles of the circular economy? 2. To what extent do Ukrainian innovation statistics assess the contribution of innovation activity to the development of a circular economy? 3. What statistical tools does the European Union use to measure the circular economy development and the impact of innovation on development progress? 4. What should be the system of indicators for the circular economy development in Ukraine and the contribution of innovation to this process? This study used systemic and comparative analysis to substantiate a set of indicators used to monitor the implementation of principles of a circular economy and the introduction of environmental innovations in Ukraine. According to our study of 183 indicators of implementing SDG in Ukraine, 28 of them are related to the principles of the circular economy, and most focus on such goals as «Responsible Production and Consumption», Affordable and Clean Energy, Decent Work and Economic growth. The selected indicators can be used as a database for monitoring the circular economy in Ukraine. However, the “blind spot” is the lack of indicators that measure progress of implementing the principle of reuse of resources, including secondary raw materials. In addition, there are no indicators in Ukrainian innovation statistics that measure the impact of innovation on the implementation of the principles of the closed-loop economy. A study of the EU’s experience shows that European statistics use three main tools to measure the circular economy development and innovation activity in this area: 1) Circular economy monitoring progress 2) European Innovation Scoreboard and Innovation Index 3) The Eco-Innovation Scoreboard and Eco- Innovation Index. Taking into account the European intent to integrate with Ukraine and the current state of Ukrainian statistical practice, the authors identify the following areas for its improvement: 1) the introduction of monitoring of the circular economy based on the selected indicators of the SDG and 2) expand the list of selected monitoring indicators by including indicators such as the use of circular materials and the level of recycling of various types of waste. The practical significance of the study lies in the development of a measurement framework that can be used as information and analytical support in governing the circular economy development in Ukraine. Keywords: Sustainable Development Goals, circular economy principles, innovation statistics, environmental innovation, Innovation Index, Eco-Innovation Index, monitoring, Ukraine, European Union.
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Zakhozhai, V. B., and А. V. Savytskyi. "Theoretical and Methodological Approaches to the Statistical Support of the Structural Transformations in the Economy." Statistics of Ukraine 108, no. 1 (2025): 4–12. https://doi.org/10.31767/su.1(108)2025.01.01.
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challenges of today caused by the aggravating economic crisis in Ukraine, numerous threats to the national security, in particular the ones resulting from invasion and occupation of the Ukrainian territory by the Russian army, massive destruction of the national economy are the evidence of the need in revision, elaboration and development of efficient structural transformation processes in the Ukrainian economy. This involves the need in devising and implementing an adequate information and analytical support that would allow to set up tactical and strategic dimensions of this reconstruction. This determines the relevance of the research topic. The research objective is to highlight the meaning of the notions “structure”, “structural shifts”, “structural crisis”, “transformation”, “transformation process”, “structural transformation’, to reveal their common and distinct features, to outline the criteria of the efficiency of structural shifts and ways of enhancing the structural transformation processes in Ukraine, and to describe their assessment techniques. The objective was achieved using empirical, theoretical and complex methods of statistical research: observation, comparison, abstraction, analysis and synthesis, formal logic, analogy and deduction. The importance of information and analytical support at each hierarchical level of economic management, from business enterprise to macro-economy, is demonstrated. A series of meaningful approaches are given, with proposing to use them, depending on the need and circumstances, either separately or in various combination or as an integrated set. Characterizations of existing types of assessment from the qualitative and quantitative perspective allowed to give descriptions of their statistical algorithms, and to substantiate the feasibility of the universal approach based on a universal metric. It enables to assess qualitative and quantitative parameters of transformations, determine their efficiency, and (in case of need) to rank the objects under study. The practical value of this article is that the proposed techniques can be used in the decision-making process pertaining to structural transformations in Ukraine at all the hierarchical levels of economic management, from business entities to the macro-economy.
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VORONOVA, Ekaterina Yu, and Yuliya A. LUKINA. "Accounting and analytical support for investment attractiveness evaluation of high-growth companies." Economic Analysis: Theory and Practice 22, no. 4 (2023): 672–91. http://dx.doi.org/10.24891/ea.22.4.672.
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Subject. The article addresses analytical support for assessing the investment attractiveness of fast-growing companies as a driver of economic growth of the national economy. Objectives. The purpose is to identify optimal investment objects among fast-growing companies through the tools of economic analysis. Methods. The study employs general scientific methods of research, like analysis, comparison, interpretation, and economic and statistical methods. Results. The paper defines the concept of a "fast-growing company", considers the evolution of this economic phenomenon and key works of domestic and foreign scientists that popularized the term, underpins the importance of fast-growing companies for increasing the economic growth rates of an individual State. We reviewed the key challenges faced by fast-growing companies in conditions of global economic uncertainty caused by political instability, described the tools used by advanced companies to mitigate economic risks within their adaptive development strategy. In the context of the analysis of investment attractiveness, we focused on the dynamics of three groups of indicators: profitability, financial stability and efficiency. Conclusions. Based on analyzed coefficients, we conclude that there are certain internal difficulties in some fast-growing companies, which reduce their investment appeal. The assigned rating of a fast-growing company does not always imply the most profitable and efficient business model. To determine the investment attractiveness of companies, additional research would be needed.
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Tkachenko, L. H. "Information Support for the Statistical Assessment of Labor Market Demand in Ukraine." Statistics of Ukraine 92, no. 2 (2021): 101–8. http://dx.doi.org/10.31767/su.2(93)2021.02.10.
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The statistical assessment of labor market demand has to focus on qualitative rather than quantitative characteristics of jobs from the perspective of opportunities for choice and development of employed. Such assessment of jobs requires information and technical support. A review of the available information sources on the number and structure of jobs lays the ground for constructing a comprehensive assessment methodology on the basis of official statistical observations supplemented by administrative data on vacancies. It is shown that each source has its strong and weak sides. The strong sides of official sources are systemic professional approach and standardized techniques for data collection and processing, regularity, data quality control and accountability. But these sources still remain hardly accessible for research purposes, their data are compiled by the formal and sectoral approach and published in highly aggregated form. Alternative sources, including independent analytical and marketing studies, online databases of vacancies, are displayed in open access and contain detailed vacancy descriptions. But these data are unstructured, fragmented and need careful treatment due to a high probability of the system bias caused by broad applications of marketing strategies.
 The comprehensive assessment of labor market demand should be based on the results of Labor Force Survey, which enable for simultaneous structuring of indicators by social-demographic characteristics of respondents and organizational-economic characteristics of production units. Data from this survey have to be supplemented by data from enterprise surveys on labor statistics, labor conditions and business tendencies, anonymous data from the registers of the Pension Fund of Ukraine, and by data on vacancies available in the databases of the State Employment Service and private recruitment companies.
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Thway, Theingi M., Mark Ma, Jean Lee, et al. "Experimental and statistical approaches in method cross-validation to support pharmacokinetic decisions." Journal of Pharmaceutical and Biomedical Analysis 49, no. 3 (2009): 613–18. http://dx.doi.org/10.1016/j.jpba.2008.12.008.
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Саадуев, Ш. А. "Information and analytical support of the economic and statistical study of the financial stability of food industry enterprises." Экономика и предпринимательство, no. 3(140) (June 17, 2022): 1431–35. http://dx.doi.org/10.34925/eip.2022.140.03.279.
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Пищевая промышленность России -крупнейшая жизнеобеспечивающая сфера народнохозяйственного комплекса, оказывающая значительное влияние на состояние всей экономики страны, от эффективного функционирования которой зависит уровень продовольственной безопасности и благосостояние народа. Сегодня пищевые корпорации сталкиваются с необходимостью сбора и обработки значительных объемов и массивов данных, имеющих отношение к их деятельности. Поэтому управлять таким производством без надежной учетно-аналитической системы становится практически невозможно, поэтому важность ее создания увеличивается. The food industry in Russia is the largest life-supporting sphere of the national economic complex, which has a significant impact on the state of the entire economy of the country, on the effective functioning of which the level of food security and the well-being of the people depend. Today, food corporations are faced with the need to collect and process significant volumes and arrays of data related to their activities. Therefore, it becomes practically impossible to manage such production without a reliable accounting and analytical system, therefore the importance of its creation increases.
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Sansuwito, Tukimin Bin, Faridah Mohd Said, and Sandeep Poddar. "Analysis of Readiness to Become a Parent, Social Support and Marital Support with Parenting Self-Efficacy (PSE) among Mothers in Cibadung Village Gunung Sindur District Bogor Indonesia." Malaysian Journal of Nursing 14, no. 03 (2023): 155–68. http://dx.doi.org/10.31674/mjn.2023.v14i03.019.
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Background: Based on the KPAI survey, 66.4% of fathers and 71% of mothers adopted parental care, and 47.1% of fathers and 40.6% of mothers communicated with their children for only one hour. This study aimed to determine the relationship between readiness to become a parent, social support, and marital support with parenting self-efficacy for mothers in RW 06 Cibadung Village, Gunung Sindur District. Methods: This quantitative method uses an analytical design with a cross-sectional approach. The purposive sampling technique was used in this study, with a total of 145 samples; data were analysed using the Spearman Rank correlation test. Results: The study showed that the statistical test of readiness to become parents with parenting self-efficacy had a p-value = 0.015. The statistical test of social support with parenting self-efficacy got a p-value = 0.043, and the statistical test results of spousal support with parenting self-efficacy got a p-value = 0.911. Conclusion: The study showed that there is a relationship between parenting readiness and parenting self-efficacy, no relationship between social support and parenting self-efficacy, and no relationship between marital support and parenting self-efficacy. This study suggests increasing readiness to become parents by changing the perception of parenting so as not to depend on social and marital support.
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Aydinova, Angelika, and Valentina Ivashova. "Substantiation and Development of Information and Analytical Support for Farming Using Digital Technologies." Research of Economic and Financial Problems, no. 3 (September 30, 2023): 1–9. http://dx.doi.org/10.31279/2782-6414-2023-3-2.
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Introduction. Due to the increasing restrictions in the socio-economic sphere, ensuring the country's import independence is becoming increasingly important. Scientists and government agencies argue that small-scale farming can play an important role in ensuring food security. They have a significant potential to increase the production of agricultural products, provide themselves with food and contribute to the sustainable development of rural areas. Therefore, conducting research in information and analytical support, as well as popularization of regional farming in rural areas is of great importance. Methods. In this study, empirical research methods were used, including statistical data analysis, a sociological survey and a sample study. The IBM SPSS program was used to process the results. Results. As part of the study, digital tools designed to support farms were developed. They include an interactive database and information and analytical resource “Farms of the Stavropol Territory”. Conclusions. On the basis of the proposed digital technologies, interaction with the farming community will be improved on a single information platform. The resource may provide quick answers to questions and advices that farmers need, as well as information-based decisions to support their activities.
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Tytenko, Larysa, Serhii Pechnikov, and Viktoriia Kyziun. "Accounting and analytical system in the formation and implementation of the financial strategy of the enterprise." Galic'kij ekonomičnij visnik 80, no. 1 (2023): 29–38. http://dx.doi.org/10.33108/galicianvisnyk_tntu2023.01.029.
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The scientific and methodological principles of the creation, functioning and decomposition of the accounting and analytical system in the formation and implementation of the financial strategy of the enterprise are considered and summarized. The relationship between financial strategy and accounting is determined, and the nature of the relationship is definited. It is substantiated that the function of accounting and analytical support should be implemented as a single unit consisting of accounting, financial analysis and management analysis. It is noted that within the framework of accounting and analytical support, the data of the information system of accounting and statistical accounting are interpreted, certain analytical data are substantiated, which form the basis of management decision-making. The object-category composition of the accounting and analytical support for the selection and justification of the financial strategy is systematized, which includes other «internal» data about the organization (enterprise, institution), in particular, additional data necessary for the calculation of target and indicator rates of the financial strategy and information about targets, means and indicators of the general strategy of the organization and its non-financial components. It has been proven that the purpose of accounting and analytical support for the selection and implementation of the company's financial strategy is to create such an information system, within which it is possible to collect, systematize and use information material, analyze it using a special analytical apparatus, develop effective managerial financial decisions and monitor their implementation, implement efficiency diagnostics. As part of the study of the organizational environment of accounting and analytical support for the management of the company's financial strategy, the division of functions between the sectors of centralized accounting (as a structural unit) is distinguished for the purposes of accounting and analytical support for the selection and implementation of the financial strategy. The functional structure of the financing and investment department was built within the framework of managing the company's financial strategy. Organizational support for accounting and analytical support of the financial strategy is structured.
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VORONOVA, Ekaterina Yu, and Аnna А. VEKSHINA. "A model of accounting and analytical support of cost optimization in the context of new institutionalism." International Accounting 25, no. 12 (2022): 1360–81. http://dx.doi.org/10.24891/ia.25.12.1360.
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Subject. This article deals with the theoretical and methodological features of the formation of accounting and analytical support for transformation and transaction cost optimization. Objectives. The article aims to indicate the need to classify costs according to their belonging to transactions and disclose the theoretical and methodological features in the context of accounting and analytical cost optimization support. Methods. For the study, we used general scientific methods (analysis, comparison and interpretation) and statistical methods in economics. The results of the study are shown in tabular and graphical forms. Results. The article defines the notion of Transaction Cost and the need to decompose cost into transformation and transaction parts to take measures to optimize the level of costs. It systematizes the theoretical and methodological features of accounting and analytical models for transformation and transaction cost optimization. The article also proposes to integrate digital technologies into the management cost accounting system. Conclusions and Relevance. The article justifies the necessity to break costs into transformation and transaction parts for these types of cost have different approaches to the accounting and analytical support formation for optimization. The organization of accounting and analysis of costs by their belonging to transactions can improve the quality of accounting and analytical support and, consequently, the information base for management decisions. At present, the digital technologies that can be used in financial and operational activities contribute to cost reduction.
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SAFONOVA, Margarita F., and Evgeniya A. PENZINA. "Accounting and analytical support of internal control of receivables at construction organizations." International Accounting 27, no. 11 (2024): 1275–99. http://dx.doi.org/10.24891/ia.27.11.1275.
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Subject. This article deals with the issues of improving the internal control of accounts receivable of economic entities of the construction industry. Objectives. The article aims to develop a detailed methodology for internal control of accounts receivable, including systematized procedures structured by control stage, based on the automation of accounting processes. Methods. For the study, we used the case, statistical, and analytical research methods, as well as special methodological techniques used in control and audit practice. Results. The article finds that with the ineffective activities of the internal control service, there is a delay in the receipt of funds from buyers, as a result of which the pace of construction and installation work slows down, and the probability of the risk of untimely commissioning of the facility increases. The article identifies the main reasons hindering the development of the construction industry, and offers the author-developed methodology for controlling settlements with counterparties, which provides for the step-by-step implementation of the formulated procedures based on the automation of accounting functions. Conclusions and Relevance. The introduction of escrow accounts and the transformation of accounting for settlements with participants in shared-equity construction are the main steps towards improving transparency and reliability in the field of shared-equity construction and necessitate the formation of an effective internal control system, taking into account the industry aspect, which makes it possible to minimize the risk of late repayment of receivables. The results of the study can be used by economic entities of the construction industry as a method of internal control of accounts receivable.
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Zlobin, Kyrylo. "INFORMATION AND ANALYTICAL SUPPORT AND TOOLS FOR ASSESSING EMPLOYEE LOYALTY IN ENTERPRISES." Economics, Finance and Management Review, no. 2(18) (June 30, 2024): 60–72. http://dx.doi.org/10.36690/2674-5208-2024-2-60-72.
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In the context of increasing competition and dynamic changes in the global economy, employee loyalty emerges as a key factor for the stability and success of enterprises. A high level of employee loyalty correlates with increased productivity, optimized costs for recruiting and adapting new employees, and the strengthening of the company’s positive image. Therefore, the development and implementation of effective methods for assessing loyalty is an urgent need for businesses. This study aims to systematize and analyze modern tools and methodologies for evaluating employee loyalty, identifying their effectiveness and features of application in various conditions and cultural contexts. The research is based on a survey of 525 employees of Ukrainian enterprises using Google Forms in two stages. Methods of questionnaires, interviews, statistical and content analysis were used. The research results confirmed the significance of integrating different assessment methods: from traditional surveys to modern analytical tools. It was shown that the automation of data collection and analysis significantly increases the accuracy of assessments and allows for the identification of deep patterns in employee behavior. The positive impact of corporate social responsibility on employee loyalty was also noted. For further development in this field, it is important to explore the impact of digitalization on loyalty assessment processes, particularly through the integration of artificial intelligence and machine learning. Additionally, it is necessary to study the intercultural aspects of assessment methods and adapt them to the needs of the globalized labor market. The importance of researching hybrid and remote work forms, as well as studying the social and psychological factors that influence employee loyalty, deserves special attention.
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Shilnikov, Alexandr Sergeevich, and Artur Aleksandrovich Mitsel. "MANAGEMENT OF LABOR SYSTEM BASED ON STATISTICAL MODELS AND SIMULATION." Vestnik of Astrakhan State Technical University. Series: Management, computer science and informatics 2021, no. 3 (2021): 82–93. http://dx.doi.org/10.24143/2072-9502-2021-3-82-93.
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The article considers the problem of the development of decision-making systems 
 in relation to the system of remuneration of labor (LRS) at enterprises. For the introduction of new, more modern and effective types of LRS, decision-makers currently do not have adequate tools. Thus, there is a problem of developing decision support systems (DSS). The key element of the DSS is the LRS models, which provide predictive analytics. However, the compilation of a LRS model is a difficult task due to the factor of randomness and multivariance of LRS. To solve the problem, two approaches to the creation of LRS models are proposed: developing the statistical analytical models and creating the simulation models. In the study, the first approach is considered, namely, an analytical statistical model of one of the piece-rate system is proposed. Formulas are obtained for the probability densities of the resulting indicators of the piece-rate LRS, the statistical characteristics of the indicators and the assessment of the risk of ineffective LRS use are calculated. This will allow significant progress in the development of DSS in the field of labor economics and personnel management
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Namoz ugli, Ashrapov Nodirbek. "Psychological Characteristics of the Development of Analytical Thinking in Adolescents." Jurnal Psikologi 2, no. 4 (2025): 10. https://doi.org/10.47134/pjp.v2i4.4460.
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This study aims to investigate the psychological characteristics that influence the development of analytical thinking during adolescence. Specifically, it examines how emotional stability, self-awareness, intellectual engagement, and educational environments contribute to the growth of adolescents’ analytical thinking. The research employs a mixed-methods approach: quantitative methods include surveys, intelligence tests, and psychological scales, while qualitative data are collected through observations, interviews, and focus group discussions. Statistical analysis was conducted on factors such as emotional resilience, critical thinking skills, and the use of interactive methods in classrooms. The results reveal that emotional stability and self-awareness have significant impacts on adolescents’ analytical abilities. Moreover, intellectual activity, social support, and the regular use of interactive teaching methods were found to strongly enhance cognitive and analytical development. The findings suggest that a comprehensive and individualized pedagogical strategy—one that integrates psychological support, digital tools, and collaborative learning—is essential for fostering analytical thinking in adolescents.
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Kostyukova, Elena, and Alexander Frolov. "Analytical support of the main trends in the development of the livestock industry." Buhuchet v sel'skom hozjajstve (Accounting in Agriculture), no. 8 (August 1, 2020): 10–21. http://dx.doi.org/10.33920/sel-11-08-2020-1.
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Agriculture is the most important area of economic activity for the production of products and services in order to provide the population with quality food, industry with raw materials and promote sustainable development of rural areas. In recent years, there has been a downward trend in the rate of agricultural development, which is lagging behind the growth rate of the Russian economy as a whole. Structural changes in the agro-industrial complex have not produced significant positive results, which is caused by a number of reasons. One of the directions of agricultural policy in Russia is the accelerated development of animal husbandry and increasing the competitiveness of domestic livestock products in the domestic market. The state program for the development of agriculture and regulation of markets for agricultural products, raw materials and food provides for a set of measures for the priority development of animal husbandry. Implementation of these measures requires improved management in order to increase the efficiency of livestock production. The article considers aspects of the formation of accounting and analytical support for management of the livestock industry, economic and statistical analysis of trends and structural changes in the livestock industry. The best practices of Russian scientists in the field of accounting and agricultural Economics are summarized
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Kostyukova, Elena Ivanovna, and Alexander Vitalyevich Frolov. "Analytical support of the main trends in the development of the livestock industry." Buhuchet v sel'skom hozjajstve (Accounting in Agriculture), no. 8 (August 28, 2020): 10–21. http://dx.doi.org/10.33920/sel-11-2008-01.
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Agriculture is the most important area of economic activity for the production of products and services in order to provide the population with quality food, industry with raw materials and promote sustainable development of rural areas. In recent years, there has been a downward trend in the rate of agricultural development, which is lagging behind the growth rate of the Russian economy as a whole. Structural changes in the agro-industrial complex have not produced significant positive results, which is caused by a number of reasons. One of the directions of agricultural policy in Russia is the accelerated development of animal husbandry and increasing the competitiveness of domestic livestock products in the domestic market. The state program for the development of agriculture and regulation of markets for agricultural products, raw materials and food provides for a set of measures for the priority development of animal husbandry. Implementation of these measures requires improved management in order to increase the efficiency of livestock production. The article considers aspects of the formation of accounting and analytical support for management of the livestock industry, economic and statistical analysis of trends and structural changes in the livestock industry. The best practices of Russian scientists in the field of accounting and agricultural Economics are summarized.
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Krekhivskyi, O. V. "State Aid for Development of Manufacture of Agricultural Machinery: Economic and Statistical Aspect." Statistics of Ukraine 96, no. 1 (2022): 67–81. http://dx.doi.org/10.31767/su.1(96)2022.01.07.
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The world practice of state support of agricultural machinery is studied. Features of dualistic agro-industrial policy of China are identified. It is substantiated that the subsidy policy for the purchase of agricultural machinery, which has been implemented by the Chinese government since 2004, has also had an extensive impact on the promotion and development of agricultural mechanization, development of agricultural machinery and improvement of economic results, scaling up of services for agricultural sector; activation of related industries: the development of companies that specialize in construction and road equipment, the production of engineering products for agricultural sector. The evolution of state support is shown: changes in the priorities of industry development and the number of subsidies for the purchase of equipment, the development of which is encouraged. It is established that the support of decision-making on the implementation of state support is provided by scientific institutions, relevant associations, information and analytical agencies. It is shown that the generated statistical databases allow to analyze the scale and structure of sales of machinery to farmers with state subsidies (by categories, manufacturers, regions), calculate China's agricultural machinery market sentiment index (AMI), among the components of which - Agricultural Machinery Subsidy Index.
 It is stated that on the initiative of the National Committee for Industrial Development a mechanism of partial compensation of the cost of machinery and equipment for agro-industrial complex, which has a certain level of localization of production in Ukraine, was launched in Ukraine in 2017. Summing up the results of the implementation of this mechanism for the national economy are presented. The necessity of expanding state support is substantiated: introduction of incentives for technological innovations of enterprises and partial compensation of interest on loans for the purchase of Ukrainian made agricultural machinery. Following the example of China, it is proposed to improve the mechanism of partial compensation by adjusting the upper limit of aid intensity in accordance with the cost of machinery and equipment for farmers and its innovation. It is substantiated that the lack of multifaceted monitoring of the implementation of the partial compensation mechanism makes it impossible to assess its consequences for machine builders, farmers and the economy as a whole (primarily in terms of the effects obtained). The introduction of statistical and information-analytical support for the implementation of the state aid mechanism in Ukraine will facilitate both timely control and management decisions-making on future support by the state, and the strategic business planning of farmers and machine builders.
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Shaleny, Volodymyr. "INFORMATION AND ANALYTICAL SUPPORT FOR ANTI-CRISIS MANAGEMENT OF FOOD INDUSTRY ENTERPRISES." Economic scope, no. 199 (April 14, 2025): 288–92. https://doi.org/10.30838/ep.199.288-292.
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The study examines the role of information and analytical support in anti-crisis management for food industry enterprises, emphasizing its growing importance in conditions of economic instability, rising competition, and supply chain disruptions. Effective crisis management requires enterprises to implement an integrated system that enables continuous monitoring, data collection, processing, and analysis to facilitate timely and well-founded managerial decisions. The study employs a systematic approach, incorporating comparative, statistical, and predictive analysis, along with risk modeling and scenario planning, to identify early warning signals of crises and develop effective response strategies. The findings reveal that modern digital tools, artificial intelligence, and business analytics significantly enhance an enterprise’s ability to detect potential crises, mitigate financial risks, and optimize decision-making. The research highlights the benefits of enterprise resource planning (ERP) systems, predictive analytics, and machine learning technologies in improving crisis response strategies. A structured monitoring framework, combined with an advanced decision-support system, enables enterprises to strengthen resilience, adapt to market fluctuations, and ensure sustainable development. Special attention is given to the role of digital transformation in integrating intelligent information systems, enhancing operational efficiency, and facilitating proactive crisis management. The practical significance of this study lies in its contribution to the development of an innovative framework for integrating information technologies into crisis management processes. The proposed approach helps food industry enterprises improve risk assessment, enhance strategic decision-making, optimize resource allocation, and maintain a competitive edge in a rapidly evolving economic environment. These findings provide a foundation for further research and practical implementation in the food sector, ensuring long-term stability and adaptability to dynamic external challenges.