Effective Management Decisions Research Articles

Theoretical and methodological aspects of the analysis of the introduction of digital technologies into the practice of regional manufacturers

In the context of innovative transformations, information is a particularly valuable resource. And it is the need associated with obtaining reliable sources for the research base and making effective management decisions in production that has become the basis for the development of digital spheres of the economy. The purpose of this article is to consider issues related to evaluating the effectiveness of the introduction of digital technologies into modern production. The importance of considering the topic is due to the fact that many technological solutions are developed and implemented annually in all spheres of life. These innovations make it possible to radically change the conduct of business by automating some business processes, which, as a rule, helps to increase profits and reduce costs in the company.

Effecting the adoption of blockchain technology enablers in supply chain sustainability with green hydrogen acceptance role as a mediator: Evidence from complex decarbonization industries in the United Arab Emirates

The industrial sector is undergoing a pervasive digital transformation in the current landscape, particularly in steel, cement, chemicals, and refineries. These are collectively termed "complex decarbonization industries (CDI)," where reducing emissions poses a significant challenge. Green hydrogen (GH) production, conducted sustainability, represents an innovative solution that facilitates energy storage and reduces reliance on fossil fuels. However, producing green hydrogen requires effective management and flexible strategic decisions to ensure transparency and environmental friendliness. This paper utilizes blockchain technology enablers (BCTE) to track carbon emissions and ensure the origin of green gas in these sectors while independently exploring its relationship to a sustainable supply chain (SSC). GH is presented as a mediating variable in this relationship. Utilizing a cross-sectional methodology, the research gathered data via interviews and an online survey from 462 employees in companies participating in the 2022 Shams Dubai program under the aegis of the Dubai Electricity and Water Authority in the UAE. The Structural Equation Modeling - Analysis of Moment Structures (SEM-AMOS) technique was used to perform the statistical analyses. Based on interviews and survey results in the UAE's CDI, the findings show that BCTE directly impacts SSC's social and environmental dimensions, while its effect on the economic dimension is negative. However, when GH mediated this relationship, the results were indirectly positive in enhancing the SSC in complex decarbonization industries without any negative environmental effects. Adopting GH is a way to reward sustainable behavior. The findings of this study could inform the UAE's policymaking, particularly in designing incentives for GH adoption in industrial sectors and creating regulatory frameworks that encourage BCTE integration for energy tracking and emissions reduction. This approach could serve as a model for similar economies striving for sustainable industrial practices.

Metaheuristic-Driven Optimization for Complex Multidimensional Decision-Making:

Effective management accounting procedures necessitate a thorough evaluation of discrepancies and variability in decision-making processes. However, conventional statistical measures often generate misleading results. In this research, we present the Mean Squares of Criteria and Alternatives (MESCA) metaheuristic approach to multifaceted decision-making. MESCA is specially designed to tackle intricate, multidimensional dilemmas, making it exceptionally suitable for scenarios involving conflicting or competing constraints. This, in turn bolsters the confidence levels of decision-makers, ultimately fostering more informed and enhanced decision-making processes. In this case study, we employ a metaheuristic approach to determine the optimal airport location, contrasting it with the established Simultaneous Evaluation of Criteria and Alternatives (SECA) model. Our research follows a deductive, survey-based methodology, with a focus on prioritizing cities within East Azerbaijan province for airport placement. We consider ten indicators, including economic factors and safety standards, to evaluate the suitability of alternative locations. The comparative analysis between the MESCA method and the SECA model accentuates the advantages of metaheuristic approach over the SECA model, offering valuable insights for effective management decisions. Our findings confirm that both approaches concur in identifying the same city as the most favorable alternative based on the established criteria. Moreover, our research demonstrates that the MESCA method surpasses the SECA model in terms of simplicity, flexibility, and cost-effectiveness, crucial considerations in the realm of management accounting. These revelations provide essential guidance to airport specialists and decision-makers when navigating constraints and selecting optimal airport locations.

Effectiveness of ultrasonography in the diagnosis of temporomandibular joint disorders: A systematic review and meta-analysis.

Temporomandibular disorders (TMDs) pose diagnostic challenges, and selecting appropriate imaging modalities is crucial for accurate assessment. This study aimed to compare the diagnostic accuracy and efficacy of ultrasonography (US) and magnetic resonance imaging (MRI) in identifying TMDs. A comprehensive meta-analysis was conducted, including studies that compared US and MRI for TMJ disorder assessments. Fixed-effects models were utilized to calculate pooled odds ratios (ORs) and relative risks (RRs) with 95% confidence intervals (CIs). Heterogeneity was assessed using the chi-squared test and I2 statistic. Newcastle-Ottawa scale was used to assess the methodological quality of the studies included. Six studies were included, involving a total of 281 participants. The meta-analysis demonstrated that MRI was statistically somewhat better than US in identifying TMJ disorders. The summary OR was 0.64 (95% CI: 0.46-0.90), and the summary RR was 0.80 (95% CI: 0.68-0.95). Heterogeneity among the studies was low (χ2 = 2.73, df = 5, p = .74; I2 = 0%). Demographic variables revealed variations in sample size, gender ratio and mean age across the studies. This meta-analysis provides evidence that MRI may be more effective than US in diagnosing TMDs. However, the study is limited by the small number of included studies and variations in demographic variables and study designs. Future research with larger samples and standardised protocols is essential to confirm and strengthen these findings. Understanding the diagnostic accuracy of MRI and US for TMJ disorders will aid clinicians in making informed decisions for effective TMJ disorder assessments and patient management.

Management decisions in emergency situations

The article considers management decisions made by officials in conditions preceding emergency situations, as well as when they have already occurred and to eliminate the consequences of which require the creation of temporary forms of management and the use of special forces and means. On the basis of the analysis of examples it is concluded that the effectiveness of management decisions taken in emergency situation conditions depends on the quality of their preparation. Such management decisions should be prepared in advance and formalized as much as possible, which will avoid negative consequences. It has been proved that in extreme cases in conditions of time and resource shortage, lack of necessary legal norms, in order to save people it is possible to go out of the legal field and make management decisions that violate the law. Immediately after the liquidation of the consequences of an emergency situation, it is necessary to analyze the causes and conditions of such decisions and to adopt appropriate legal acts as soon as possible.

Typology and Classification of Management Decisions

Management process is dynamic. Changes in the external and internal environment give rise to the need to make various management decisions. A managerial decision is a choice that a manager must make in order to fulfill the responsibilities of his position. Research objectives: ensuring progress towards the tasks assigned to it. Therefore, the most effective management decision will be the choice that will actually be implemented and will make the greatest contribution to achieving the final goal. Typology and classification of management decisions is necessary to clearly define the characteristics of decisions made at various levels of the organization, and on this basis to formulate requirements for decision-makers, as well as for the information that they should receive. In the process of managing organizations, a huge number of very diverse decisions are made that have different characteristics. There are general characteristics that allow management decisions to be classified and typologized in a certain way.

Information features of management decisions in the system of public authority

The article considers the formation of two management systems after the adoption of the Constitution of the Russian Federation — the system of public administration and the system of local government. The conceptual peculiarities of managerial decision-making in both systems are investigated, and the conclusion is made about the differences in the configurations of the channels of their information links. The advantages and disadvantages of the public administration system as a centralized system based on cybernetic principles, as well as the positive and negative aspects of the synergetic nature of the local government system are analyzed. As public administration systems need a certain decentralization of management, so local government systems cannot do without orientation on a number of issues on centralized commands. It is concluded that in Russia for a long period of time there was no proper information interaction between the system of public administration and the system of local government. It is noted that the appearance in the Constitution of the Russian Federation of part 3 of Article 122 of the Constitution of the Russian Federation determined not only the existence of a unified system of public power, but also the existence of an integral system of governance, the capacity of which to make effective management decisions is higher than the total capacity of the previously existing self-sufficient systems.

THE EXPERT EVALUATION METHOD IN FORECASTING THE PROMOTION OF A GASTRONOMIC TOUR AS AN EFFECTIVE TOOL FOR MAKING MANAGEMENT DECISIONS IN THE PUBLIC SECTOR

The article is dedicated to studying the opinions of potential consumers of tourist services regarding the possibilities of forming and promoting a gastronomic tour in Ukraine. Based on the results of an expert survey, the authors present a realistic picture of the formation and promotion of a gastronomic tour in Ukraine, which allows identifying problems and outlining necessary ways to solve them. The obtained data provide a clear view of the state and development of gastronomic tourism in Ukraine, allowing for the study of consumer opinions, understanding their perspectives on this issue, and identifying the major challenges overlooked by public sector representatives. These representatives are capable of making effective management decisions regarding the prospects and opportunities for the development of gastronomic tourism and the promotion of gastronomic tours in Ukraine.

Gastro-esophageal reflux disease among the urban population of Saudi Arabia

IntroductionGastro-esophageal Reflux Disease (GERD) is a significant global health issue affecting millions and placing a substantial burden on healthcare systems. This study investigates the prevalence and influencing factors of GERD among the urban population in Saudi Arabia, amidst rapid urbanization and lifestyle changes. The goal is to provide insights for targeted interventions and improved public health strategies. MethodologyA cross-sectional study was conducted using a comprehensive methodology. A validated, bilingual questionnaire was used to collect data on demographics, awareness, psychosocial aspects, symptoms, and medical history. The study included 493 participants, and data were collected through an online survey. Statistical analysis was performed using SPSS and Excel, maintaining a statistical power of 80 ​%. ResultsThe survey included 493 participants, revealing the following key findings: Gender distribution: 41.37 ​% male, 58.62 ​% female (p ​= ​0.053). Age categories: 18–25 (25.35 ​%), 26–40 (18.05 ​%), 41–55 (26.97 ​%), 56 and above (29.61 ​%) (p ​= ​0.055). Nationality: 51.92 ​% Saudi, 48.07 ​% non-Saudi (p ​= ​0.058). Other notable demographics: marital status, education levels, smoking habits, nutritional habits, BMI categories, and prevalence of bariatric surgery. GERD symptoms and psychological factors showed significant associations. Treatment preferences and lifestyle modifications varied widely. The data provide essential insights for tailored interventions and healthcare strategies. ConclusionThis study highlights the complex demographic patterns and lifestyle factors associated with GERD in Saudi Arabia's urban population. The findings emphasize the importance of tailored interventions and inform healthcare, research, and policy decisions for effective GERD management in urban settings.

POSTER AS A TOOL FOR DIGITALIZATION OF THE MANAGEMENT SYSTEM OF HOTEL AND RESTAURANT BUSINESS ENTERPRISES

In the basis of the development of modern business, digital transformations have acquired primary importance. The stability of the business, and in general its ability to function, is determined by the level of digitalization. The integration of basic business development tools is considered through the prism of automation, robotics and digitization. In the field of hotel and restaurant business, digital technologies have become the most effective tool for implementing business tasks and solving problems of the control system, constant monitoring and management. The main trajectory of the automation of hospitality enterprises through the prism of the introduction of cloud technologies into business has become the use of software products. Cloud automation systems, in particular the Poster program, serve as a modern tool for accounting, control and business management. The Poster program (system) was the first cloud-based automation system developed in Ukraine to serve hotel and restaurant businesses. This software product has become a successful modern initiative, which is used with pleasure by twenty thousand hospitality establishments. When the enterprise implements this cloud technology, the approach to the organization and conduct of business has completely changed, the management system has acquired a completely new dimension. Important functions of the module have become such as: cash register for waiters with integrated hall cards; the Kitchen Kit application from Poster with a screen in the kitchen/bar, or with a system of runners; automation of the restaurant delivery service to work with orders from aggregators or personal delivery service; Poster mobile cash register; Poster QR for automatic menu creation in Poster-POS, quick payment, the possibility of tipping the waiter, leaving guest reviews, etc.; the Poster Boss app with the ability to work on a smartphone and more. The convenience of working with the Poster software is manifested in its simplicity and easy accessibility for staff training, since even intuitively, in an hour of work with this cloud technology, you can already work freely. The ability to work with cash register modules for sales and a control panel for owners makes the Poster software product both unique due to its multifunctionality and system, and easy to use. The statistics module automatically summarizes revenue data when the check is closed at the cash register. In the process of selling a finished product or service, ingredients (inventories) are written off from the warehouse according to technological maps developed by the institution. The multifunctionality of the Poster program makes running a hotel and restaurant business more efficient, as convenient as possible in management and acts as a high-quality database for making effective management decisions. The complexity and systematicity of this cloud technology brings the innovative orientation of hospitality enterprises to a new level.

Показатели деятельности отделений лучевой диагностики Департамента здравоохранения города Москвы в 2016–2022 гг.

Due to the dynamic development of the Moscow health care system, the analysis of the operation results of radiology departments becomes a necessary tool for making effective management decisions aimed at improving the quality of medical care. Purpose of this study is to analyze the dynamics of the operation results of radiology departments and to analyze changes in their staff structure in medical organizations of the Moscow Health Care Department in the period 2016–2022. Materials and methods. By analyzing the Federal Statistical Monitoring forms No. 30 «Information on Medical Organization» for 2016–2022 and the reporting data from the EMIAS ERIS, the calculation of the operation results of radiology departments was carried out. The following types of radiologic studies were included in the study: computed tomography (CT), magnetic resonance tomography (MRT), radiography (RG), mammography (MMG), fluorography (FLG), densitometry (RD). Results. A change in the structure of radiologic studies was determined, due to a 51% decrease in the number of radiographic studies and a 1.7-fold increase in the number of CT studies. The number of radiologists increased by 7.2% and the number of technicians by 3.8%. The workload of radiologists increased by 24.2%. The average staff complement of radiology departments with radiologists amounted to 70.8%. Findings. Advanced digital infrastructure of the radiology departments promotes high adaptability to emerging challenges. Staff shortage can be adjusted through the implementation of new digital technologies aimed at optimizing professional activity of radiologists.

USE OF ARTIFICIAL INTELLIGENCE IN ACCOUNTING AND ANALYTICAL PROCESSES

The beginning of a new era has led to the emergence of new factors that impede the effective operation of enterprises. One of these factors is the exponential growth of the amount of data that needs to be processed and analyzed in order to make effective management decisions. This leads to the need to develop or search for a software product aimed at collecting, analyzing and systematizing a large amount of data, as well as performing relevant tasks based on them that artificial intelligence is capable of. The article is aimed at researching and revealing the potential of using artificial intelligence (AI) in the field of accounting. The main focus is on improving the efficiency of the enterprise, which is achieved by automating and optimizing various aspects of accounting work. On the basis of a thorough analysis of the works of foreign and domestic specialists, the theoretical aspects of the concept of artificial intelligence are distinguished on the basis of systemic, functional and information approaches. The directions of compliance of the accountant, which can be artificial intelligence, are identified, namely: processing of invoices, cost management, analysis of financial statements, management of payables and receivables, compliance with tax legislation and detection of fraud and risk management. Ways of using AI in processes of automation and optimization of processes, such as invoice processing, cost management, financial reporting analysis, control of accounts payable and receivable, ensuring compliance with tax legislation and fraud detection and risk management, have been identified. The artificial intelligence technologies for their purpose, which are the most used in the world, are presented. The sequence of actions in the identified needs in artificial intelligence and its outstanding volume is structured. The results of the study confirm the potential of AI to automate operations, increase productivity and accuracy in accounting, as well as reduce risks and improve audit efficiency. Key words: Artificial intelligence, accounting, analysis, accounting automation, accounting information systems, information systematization, management efficiency.

ORGANISATIONAL CULTURE AS AN EFFECTIVE TOOL FOR MANAGING A TELECOMMUNICATIONS ENTERPRISE

The purpose of the article is to study and clarify the substantive characteristics of organisational culture, to substantiate its relationship with the organisational design of enterprise. To determine the key factors of mutual influence on the formation of organisational culture and building of organisational design of a telecommunications enterprise. To assess the state of organisational culture of telecommunication enterprises and provide recommendations for its support, taking into account the functional features of its management. An analysis of the dynamics of the volume of products (services) sold by economic entities of Ukraine by type of economic activity for the period (2015, 2020, 2021, 2022) is carried out. Methodology. Economic and abstract and logical research methods were used in combination with methods of collecting sociological information: surveys and questionnaires. They made it possible to study the dynamics of development of enterprises by types of economic activity and assess the state of corporate culture of telecommunications enterprises. Results. According to the results of the analysis of statistical data, the decrease in the volume of products (services) sold by Ukrainian enterprises in the analysed period was revealed, regardless of the type of economic activity. The reasons for the deterioration of their activity have been clarified and the factors of mutual influence on the formation of the organisational culture and the construction of the organisational design of the telecommunications enterprise have been described. The state of the organisational culture of the telecommunications enterprises was assessed according to the relevant criteria within the framework of the questions. It was proved that organisational culture is an effective management tool. Practical implications. The study of the state of organisational culture of telecommunications enterprises in Ukraine proves the need to model the strategy of formation and development of organisational culture, taking into account internal opportunities and external threats that can accelerate or inhibit this development. The results of the assessment will help to make effective management decisions to improve the working environment and employee satisfaction. Value / Оriginality. It is recommended to take into account the functions of internal integration and external adaptation in the process of managing the organisational culture of a telecommunications enterprise. This is necessary to improve the working conditions of the company's employees and to establish effective interaction between the levels of management and employees.

Financial Analysis as An Effective Tool for Business Management: Identifying Trends and Optimizing Decisions

The issue of actualizing the phenomenon of financial analytics as an effective tool for managing and controlling business processes is becoming of paramount importance amid the active development of the transformation of the Ukrainian economic space. This situation is exacerbated by the digitalization of financial and economic processes, as well as the trend of global integration of the economic space. The study aims to analyze current trends in the development of the financial and analytical sphere as an effective management tool. The research was carried out using the following general scientific methods: multidisciplinary analysis, synthesis, specification, abstraction, induction and deduction, and formalization. The authors assessed the risks involved in the implementation of financial analysis, as well as the vectors of predictive development of its algorithm in the future. It has been found that the digital transformation of financial analysis processes is currently seen as an inevitable optimization stage in the development of the business environment. The authors have identified several dangers related to the use of artificial intelligence in financial analysis within the general trend of digitalizing accounting and economic procedures. The article substantiates that modern digitalization tools create an opportunity to simplify the processes of collecting and accumulating financial information. It has been proven that the implementation of effective financial analysis allows making effective management decisions in business processes. The results of the study may have practical value for optimizing economic activities.

СТАН МОСТОВОГО ГОСПОДАРСТВА УКРАЇНИ НА ДОРОГАХ ЗАГАЛЬНОГО КОРИСТУВАННЯ ДЕРЖАВНОГО ЗНАЧЕННЯ НА ПІДКОНТРОЛЬНИХ ТЕРИТОРІЯХ ЗА 2023 РІК

Introduction. Bridges are important critical infrastructure facilities; they play a key role in economic development and ensure the security of regions and the state as a whole. During the period of martial law, bridges became an important element of the country's defense capability, as well as routes for humanitarian evacuation and export logistics. To make effective management decisions at the level of the State Agency for the Restoration and Development of Infrastructure of Ukraine in the field of bridge management, the Analytical Expert Bridge Management System (AESUM) software package is being implemented. Problem statement. In connection with the introduction of martial law in Ukraine, ensuring the proper functioning of the bridge sector has become of great social importance, since the availability of sustainable transport links allows to ensure the vital activity of the population and the functioning of the state under martial law. It is also important to improve the strategy of operation of transport facilities, taking into account the scientific and analytical apparatus of the AESUM software package. Objective. Implementation of an effective strategy for the operation of bridges on highways in order to plan financial resources for their repair and maintenance. Providing the general public with up-to-date statistical information on bridges from AESUM will be useful for scientific and practical purposes, and identifying certain analytical trends will allow to improve AESUM in terms of forming a strategy for the operation of transport facilities. Materials and methods. Analytical, statistical, system analysis. Results. The paper presents analytical and statistical information on transport facilities on public roads of national importance in the controlled territories of Ukraine as of the end of 2023. Certain trends have been identified and the technical condition of transport facilities has been focused on.

An exploratory study of drawings as a tool to evaluate student understanding of the Food-Energy-Water (FEW) Nexus

AbstractAs future decision-makers, students must develop interdisciplinary, systems thinking skills to make effective management decisions; however, systems thinking remains challenging for many students. Here, we use the Food-Energy-Water (FEW) Nexus as a framework to examine how drawings can help students cultivate systems thinking skills. Drawings can be tools to make implicit mental models of systems connections explicit for instructors to better comprehend student learning. Our goal was to understand how drawing can help students make connections across systems compared to using only verbal explanations. In 2021, we interviewed undergraduates, asking them to draw and verbally explain the FEW Nexus. Analysis revealed that student drawings showed an increase in the number of connections that half of students could describe when compared to verbal-only explanations. Instructors may benefit from this study by recognizing areas where students might struggle to understand FEW Nexus connections, where additional course emphasis is needed, and how drawings can help assess student learning.

MRI assessment of seminal vesicle involvement by prostate cancer using T2 signal intensity and volume.

Seminal vesicle involvement (SVI) in patients with newly diagnosed prostate cancer is associated with high rates of treatment failure and tumor recurrence; correct identification of SVI allows for effective management decisions and surgical planning. This single-center retrospective study analyzed MR images of the seminal vesicles from patients undergoing radical prostatectomy with confirmed T3b disease, comparing them to a control group without SVI matched for age and Gleason grade with a final stage of T2 or T3a. Seminal vesicles were segmented by an experienced uroradiologist, "raw" and bladder-normalized T2 signal intensity, as well as SV volume, were obtained. Among the 82 patients with SVI, 34 (41.6%) had unilateral invasion, and 48 (58.4%) had bilateral disease. There was no statistically significant difference in the degree of distension between normal and involved seminal vesicles (P = 0.08). Similarly, no statistically significant difference was identified in the raw SV T2 signal intensity (P = 0.09) between the groups. In the 159 patients analyzed, SVI was prospectively suspected in 10 of 82 patients (specificity, 100%; sensitivity, 12.2%). In all these cases, lesions macroscopically invaded the seminal vesicle, and the raw T2 signal intensity was significantly lower than that in the SVI and control groups (P = 0.02 and 0.01). While signal intensity measurements in T2-weighted images may provide insight into T3b disease, our findings suggest that this data alone is insufficient to reliably predict SVI, indicating the need for further investigation and complementary diagnostic approaches.

Dynamic pricing strategies for efficient inventory management with auto-correlative stochastic demand forecasting using exponential smoothing method

The research presents a novel approach to inventory modelling, emphasizing stochastic demand and dynamic pricing strategies for a seasonal sales framework. The methodology divides the sales season into intervals, each associated with distinct pricing strategies influenced by stochastic factors. The study employ exponential smoothing for demand forecasting, optimizing inventory replenishment and dynamic pricing strategies through developed algorithms. Notably, the study determine the optimal smoothing parameter for demand forecasting, balancing responsiveness to recent demand patterns with long-term stability. Proposed research achieves a comprehensive framework empowering businesses to enhance competitiveness and profitability by addressing challenges of stochastic demand and dynamic pricing. Dynamic pricing strategies outperformed classical strategies, allowing businesses to respond promptly to demand fluctuations and optimize profit margins during sales seasons. Incorporating stochastic demand models enabled organizations to implement safety stock and buffer inventory levels effectively, mitigating risks associated with uncertain demand patterns. Real-time data analysis was crucial for adjusting price dynamics and making effective management decisions, leading to improved financial performance. The iterative nature of dynamic pricing strategies emphasized the importance of continuous refinement to adapt to evolving market dynamics. This approach enables data-driven decisions, adaptation to market fluctuations, and improved inventory management despite unpredictable demand. Ultimately, this study provides valuable insights and methodologies applicable across industries for efficient and profitable inventory management.

Individual perceptions of complex projects: A window into project team and stakeholder mental models

Understanding the current state of a complex project is challenging but essential for project teams to make effective management decisions. This research explores whether the indirect elicitation and comparison of mental models measured through individual level perceptions can encourage project team double loop learning about a complex project to inform management decisions. The best-worst scaling object case method was applied at the individual level to measure system-wide perceptions of two case study projects, demonstrating its efficacy in capturing team and stakeholder perceptions, and measuring how these change over time. Analysis of the case studies showed that highlighting the differences in mental models uncovered using the best-worst scaling object case method at the individual level can facilitate double loop learning and prompt management decisions about complex projects.

Criteria for ensuring the reliability of data in analytical activities

The article analyses the criteria for ensuring data reliability in analytical activities, particularly in economic research, based on a large amount of data that requires careful analysis and processing. The study uses an integrated approach to identify the degree of interrelationships between variables and their dependencies and identify hidden influence factors. The article describes the need to use methods of correlation, regression factor analysis, verification, unification, and analysis of possible deviations of calculations to ensure the objectivity and reliability of economic indicators. The main criteria for ensuring data reliability are defined. It is established that applying an integrated methodological approach allows for obtaining reliable and accurate economic research results, contributing to adopting effective management decisions. It is noted that research requires the development of a systematic approach to ensuring data reliability. It includes three areas: statistical methods of quantitative analysis of cause-and-effect relationships, the objectivity of economic indicators, and criteria for the reliability of indicators of the information field of research. The proposed methods aim to obtain reasonable and balanced results, which is critical for making effective decisions in the digitalization of the economy. Modern methods for detecting, evaluating, and correcting errors in data can significantly improve the reliability of economic conclusions and recommendations. In the digital economy, the development and implementation of cutting-edge technologies, such as machine learning and artificial intelligence, play a pivotal role in ensuring higher data quality. This underscores the relevance of the research. Further studies could be directed toward developing and enhancing methodological approaches to data analysis, including exploring new statistical methods and algorithms for processing big data. Additionally, research on integrating different analysis methods to study complex economic processes and forecast future trends holds promise. Keywords: data reliability, analytical activity, economic research, objectivity of economic indicators, evaluation criteria, information field.