Oleksii Oleksiuk

The paper analyzes the modern requirements for the professional activity of logisticians in Ukraine. Changes in the personnel needs of enterprises are characterized. Competence, functional, personnel and technological approaches to the formation of a professional profile are considered. The peculiarities of the training of employees under conditions of digitalization and economic uncertainty are determined. The impact of technological changes on the content of labor functions was studied. Particular attention is paid to professional adaptation and development of personnel. Employer vacancies and candidate resumes were analyzed. The structure of labor supply and demand was evaluated. The professional activity of a logistician's assistant, logistician and logistics manager is characterized. Differences between job duties and qualification requirements are determined. It was established that the position of logistician forms the largest segment of the studied sample. Peculiarities of the distribution of vacancies and resumes by professional roles have been revealed. The main labor functions of logistics workers are characterized. The requirements for the organization of transportation, warehouse operations and document flow are analyzed. The importance of communicative, digital and analytical skills is considered. Differences between operational and management competencies have been established. The expediency of forming individual professional profiles is substantiated. Their content should correspond to official functions. The salary characteristics of the studied professional roles were evaluated. The differences in median salary offers are analyzed. The relationship between individual competences and the proposed pay was revealed. Professional characteristics of candidates and desired positions are considered. Possible directions of professional development of employees have been determined. The limitations of using open data to assess the actual level of competence are characterized. The content of educational programs in logistics is analyzed. Training outcomes are compared with employers' requirements. Directions for strengthening the practical training of specialists have been identified. The need for the development of digital and analytical competencies is substantiated. It is proposed to expand the practical tasks of logistics document management. It is recommended to strengthen training in the use of information systems. The expediency of differentiating training by professional roles has been determined. A comprehensive approach to the formation of a professional profile of a logistician is proposed. It combines labour market analysis and educational training. The possibilities of using the results in personnel management are substantiated. Directions for improving personnel selection and development are proposed. The possibilities of updating the content of educational programs have been determined. The expediency of coordinating professional training with job functions based on the analysis is proven. Directions for further research of personnel needs of enterprises are outlined.

Зростання інформаційної насиченості середовища господарювання при-зводить до підвищення значення швидкої та ефективної обробки інформаційних по-токів для прийняття управлінських рішень. Омніканальність та інформаційне наси-чення соціального середовища діяльності людини, прийняття рішень компаніями спонукає постійний розвиток комунікаційних та аналітичних технологій на їх основі. Робота побудована на міждисциплінарних підходах до аналізу інформації з відкритих джерел в соціально-економічних дослідженнях, а на меті має розвиток прикладних підходів ідентифікації й аналізу інформаційних конструктів у потоках інформації. У сучасному світі інформаційні конструкти здобувають різні форми, а саме: популяр-ність бренду, вірусний користувацький контент, пропаганда, фейки та інше. Робота з інформаційним оточенням стає дедалі більш важливою складовою державних, галу-зевих, корпоративних та персональних стратегій розвитку. Представлено опис автор-ської методики дослідження інформаційних конструктів, яка включає підходи до збору даних з різних каналів відкритого доступу, структурування та каталогізацію інформаційних джерел, первинну обробку та статистичний аналіз текстових повідом-лень, розробка семантики аналізу, підготовка моделей машинного навчання,тестування ефективності використання різних моделей, прогнозне оцінювання існу-ючих і нових інформаційних конструктів у каналах комунікації. Проведено апробацію розробленої методики на на прикладі Telegram каналів новин двох регіональних сег-ментів. Дослідження проведено на базі збору інформації за 15 днів в грудні 2023 з 84 українських та 93 російських Telegram каналів, проведено кластеризацію та аналіз особливостей поширення інформаційних повідомлень в них. У якості експеримен- тального прикладу було використано повідомлення про кібератаку на сервіси компа-нії «Київстар», яка мала місце у грудні 2023 року. Масштаби та наслідки цієї атаки мали широке висвітлення, інтенсивно обговорювалися громадкістю у засобах масо-вої інформації, а також у Telegram каналах. Розробка дозволяє виявити вектори ін-формаційного впливу та цільові установки коригування поведінки цільової аудиторій. На цій основі можливо формувати обґрунтовані стратегічні рішення та розробляти механізми забезпечення стійкого розвитку у динамічному середовищі господарю-вання. The growing saturation of the business environment by information leads to increasing the importance of fast and efficient processing with information flows for making management decisions. Omni-channel and information saturation of the social environment of human activity, and the increasing complexity of decision-making by companies due to this, prompts the constant development of communicative and analytical technologies based on them. The study is based on interdisciplinary approaches to the analysis of information from open sources in socio-economic research and aims to develop applied approaches to the identification and analysis of information constructs in information flows. Nowadays, information constructs take on various forms, namely: brand popularity, viral user-generated content, propaganda, fakes, etc. Working with the information environment is becoming a significantly important component of state, sectoral, corporate and personal development strategies. The paper describes the author’s methodology for studying information constructs, which includes approaches to collecting data from various open channels, structuring and cataloguing information sources, pre-processing and statistical analysis of text messages, developing semantics of analysis, preparing machine learning models, testing of the effectiveness of using various models, and forecasting the existing and new information constructs in communication channels. The developed method was tested on a sample of Telegram news channels of two regional segments. The study was conducted based on collecting information for 15 days in December 2023 from 84 Ukrainian and 93 Russian Telegram channels, clustering and analysing the...

The study is devoted to applying neural networks and statistical analytical tools for the estimation of efficiency of pharmaceutical retail. The empirical basis was data derived from the Ukrainian regional online marketplace. The article proposes and tests approach to analytical decision-making in online retail, which involves combining several clustering and forecasting models and methods, complementing each other accordingly. Analysis of the results of clustering and statistical processing of empirical datasets characterizing customer orders for goods in pharmacies, as well as the order-placement procedure, made it possible to identify patterns in the behaviour of customers and pharmacy staff in the process of fulfilling orders. We also created a perceptron-type neural network to predict the value of sold products as the final result of each commercial operation in a pharma store. The modelling results form the necessary conditions for determining management indicators and assessing the effectiveness of interactions with customers, which have practical value and potentially allow increasing sales and customer service levels.

The purpose of this scientific article is to form a set of indicators of national food security in order to diagnose the processes of food supply and self-sufficiency in the direction of a comprehensive and clear assessment of the actual level of national food security and independence and to identify compliance with the regulatory level, as well as to find effective ways to improve the national socio-economic development for the long term.To achieve this purpose, a wide range of research methods has been used, the main of which were the methods of generalization and synthesis, scientific abstraction, analytical diagnostics, and regulatory and index criteria. The dialectical method of cognition of socio-economic processes, the formal-logical method and the method of system analysis have been applied in order to better understand the processes of providing the country with food, the formation of food independence from imports, the identification of the regularities of the processes of self-sufficiency in food stocks, as well as to take into account the impact of macroeconomic factors on improving the level of national food supply and food security.The author formulates his own definition of "food security indicator" as an actual statistical value of the indicator (in dynamics), which reflects the level of provision with the resource potential for the full production of the optimal amount of food per capita (in accordance with the established standards). The "food security criterion" is identified as a threshold, an acceptable level of the indicator, the value of which indicates the state of food independence of a certain region in particular and the country as a whole.The indicators characterizing the level of national food security have been improved in the context of the research of such aspects as quantitative, aimed at providing the country with sufficient food; qualitative, focused on providing the population with quality and safe food; and socio-economic, which involves establishing a level of income sufficient to ensure access to food.The main composition of indicators and factors (conditions) of national food security and a set of indicators of national food security has been formed in order to address important issues of food supply in accordance with the potential capabilities of the country in the production, storage, processing of agricultural products to provide food for all categories of the population with appropriate levels of consumption, as well as food of proper quality and safety.It is proved that at the present stage of economic development, all groups of indicators of food security and independence of the country (criteria of accessibility and sufficiency of food security, food self-sufficiency and food independence from imports) should be used. The proposed criteria and developed indicators are of both theoretical and practical importance for the economic and socio-demographic development of the country in the future.

The article presents the results of research into the interdisciplinary issues of the formation and development of intra-economic elites as a key innovative-intellectual mechanism and a corporate resource for ensuring the competitiveness of companies under modern conditions. The need for the selection and continuous development of intra-economic elites, the dissemination of the best corporate practices with the help of focused, highly effective educational technologies has been defined and substantiated. In order to build a consistent process of forming and increasing the intellectual and innovative potential of companies, the feasibility of using micro-qualifications or micro-credit approaches to the educational training of the most effective groups of employees of companies that form or have been included in the intra-economic elite is substantiated.

The article examines the features of the use of data from open sources of information, special approaches and techniques in the system of marketing research of enterprises. Improving approaches to integration into modern marketing information systems of modern content analysis tools have been developed and tested, which organically provides constructive synergy of applied methods and means of neuro-fuzzy modeling and clustering of information arrays, statistical analysis of information units including potential and actual consumers. The modern methodological tools of machine learning were tested on the basis of the author’s approaches to detecting "fakes" (unreliable information) in the formation of situational awareness of company management, identifying trends in target markets, analytical processing of changes associated with high risks and uncertainties for business. It is shown that the great variability of the modern information environment (data, content) creates significant prerequisites and significant combinatorial opportunities for generating distorted information in different ways, as well as the dissemination of the latter. Possibilities for detecting inaccurate information (fakes) in the information field of a particular product market have been worked out. Comparison of the results of different models based on the confusion matrix showed that two of the four learning models, namely the neural network and the "random forest" model, did well enough to assess the reliability ("fake") messages. The recommendations on the organization of the formation of source data from open sources of information, improving the quality and reliability of their processing and successful integration of marketing and commercial analytics systems have been constructively developed.