Processing Enterprises Research Articles

Экологические особенности конвективной сушки пиломатериалов

Lumber drying is a mandatory technological operation that gives wood the properties necessary for the production of items, during which the wood is given shape and size stability during operation and/or increases biostability during transportation. Chamber drying is carried out at elevated temperatures, which predetermines the transfer of wood to a chemically active state. As a result, the first stage of extraction is realized – the release of a complex of substances in a solid, liquid and gaseous states onto the surface of the board. With all the variety of substances that accumulate during the growth process in each tree species, phenol and formaldehyde, which are common to all, are released during drying. They belong to class II hazard to humans. In the specialized literature, this issue is given unjustifiably little attention. The problem is complicated by the fact that a significant part of the wood drying production capacity is currently located within the urban area. Therefore, the entire spectrum of substances that are released from the dried wood is concentrated in the residential area, having a negative impact on humans. The aim of the research is to determine the degree of environmental impact of substances released from wood during drying. The list of substances that are released during convective drying from larch and pine wood, as well as data on the amount of these substances, which are given in the article, indicate the presence of an environmental pollution problem. In Russia, the entire volume of lumber for the production of products is dried in drying plants that do not have devices that neutralize pollutants. Consequently, harmful substances released from dried wood accumulate both on the territory of wood processing enterprises and in residential areas. From the above, it follows that drying lumber using low-temperature conditions cannot be considered an environmentally friendly type of production. This problem requires a more detailed study, which will allow us to develop a set of measures to reduce the negative impact of convective lumber drying on the environment.

ПОЛУЧЕНИЕ ФИБРОЦЕМЕНТНЫХ ИЗДЕЛИЙ С ИСПОЛЬЗОВАНИЕМ ХРИЗОТИЛА – ХРИЗОТИЛЦЕМЕНТНАЯ ПРОМЫШЛЕННОСТЬ

The article discusses the technology of production, the problems of the development of chrysotile and chrysotile cement industries in the countries of independent states. The article provides information on the composition and properties of natural chrysotile fibers, data on the quality of raw materials of cement and chrysotile fibers supplied to chrysotile cement enterprises, characteristics of suspension with them, semi-finished product and properties of solidified chrysotile cement products. The emerging requests of the manufacturers of chrysotile cement products (slate, chrysotile cement pipes) to the mining and processing enterprises of the countries of independent states on the quality of the supplied chrysotile fibers in connection with the apparent violations of the physical and mechanical properties of the slate products are considered.

Forecasting Corn Futures Prices Using the LSTM Model

The central government's No. 1 document introduced new requirements for “maintaining the stability of agricultural product prices.” However, recent years have seen significant fluctuations in corn prices in China, highlighting the importance of exploring the trends of corn futures prices for stabilizing spot corn prices. Given the increasingly complex financial market environment, traditional linear econometric methods and machine learning approaches face inherent limitations in price forecasting. This study utilizes extensive data and applies the Long-Short Term Memory (LSTM) deep learning model to forecast corn futures prices. During the model training process, historical corn futures data were used as hidden input feature variables, along with additional indicators such as spot corn prices, real-time quotes from corn deep processing enterprises, downstream product prices in the corn industry chain, prices of similar substitutes, and the Baidu Search Index for “corn prices.” The model was trained and fine-tuned with hyperparameters to assess its predictive accuracy under different time windows, learning rates, and iteration counts. Experimental results indicate that incorporating external influencing factors significantly enhances the model's predictive accuracy compared to using only historical price data. The model with a learning rate of 0.01, 50 iterations, a time window of 5, and 4 hidden layers achieved the highest accuracy. The findings demonstrate that integrating external factors and optimizing hyperparameters substantially improve the LSTM model's predictive precision, outperforming models that rely solely on historical data. The study provides policy recommendations on promoting advanced technology, enhancing data collection and information sharing, and improving market transparency and fairness. Additionally, the conclusion discusses the extensive application potential and promising development prospects of the LSTM model in corn futures price forecasting. This model enables market participants to obtain more accurate market trend forecasts, facilitating more informed investment decisions. The research also offers new insights and methodological references for scholars in financial forecasting, contributing to the further advancement of this field.Funding: This study was supported by the 2024 Key Research Project of Higher Education Institutions of the Henan Provincial Department of Education [Project Number 24B790006], the Henan Provincial Department of Education [Project Number 2021GGJS120], and the Henan Provincial Department of Education [Project Number 2021SJGLX478]. Additionally, this study received support from the Xinxiang City Federation of Social Sciences [Project Number SKL-2024-157].

FRAMEWORK FOR THE DEVELOPMENT OF DIGITAL STRATEGIES FOR INDUSTRIAL COMPANIES: PRINCIPLES, METHODS AND TOOLS

Strategic management and strategy as a tool for managing business development have become responses to the increasing instability of the external environment. With the advent and development of digital technologies, there has been another quantitative and qualitative leap in the growth of uncertainty in the operating conditions of industrial enterprises. In order to remain competitive, they have embarked on a digital transformation process, the success of which also largely depends on having a clear strategy for implementing the transformation. The requirements for such a strategy, and the methods and tools used to develop it, are in some respects very different from those used in traditional strategic management. This determines the research relevance in the field of determining the nature of the digital strategy of the industrial enterprise, methods and tools for its development. It is shown that a digital strategy is a strategy for business development in a digital environment and that the key problem in its development is the need to significantly increase flexibility while maintaining a certain stability. Analysis of trends in the area of adaptation and development of methods for strategy development in the digital environment was carried out. Four broad sets of methods for increasing strategic flexibility have been identified: based on scenario development, experimentation, the use of organisational and management mechanisms, and on the use of ecosystem capabilities. Taking into account the stages of digital transformation process of the industrial enterprise and the basic practices of adaptive management, a landscape of methods and tools for the formation of a digital strategy of a company has been built up, allowing to broaden the understanding and to make a reasonable choice of an instrumental and methodological base. The concept of a minimum viable strategy is highlighted as a promising direction for developing a flexible digital strategy for an enterprise. A tool for its development is proposed in the form of a one-page presentation (canvas) that logically combines the key components of a digital strategy, ensuring its flexibility and sustainability.

Unveiling the synergy: entrepreneurial effectuation and alliance-driven SME diversification

PurposeInternationalisation is a complex and uncertain process for small and medium-sized enterprises (SMEs), characterised by challenges such as limited resources, lack of international experience and uncertainty in foreign markets. This study aims to explore the impact of entrepreneurial effectuation on the diversification of products and market expansion. Additionally, it examines the mediating role of alliance capabilities in this relationship.Design/methodology/approachThis study developed five hypotheses based on an extensive and relevant literature review. Data were collected using nonprobability judgemental and snowball sampling techniques from 202 software exporting firms in Bangladesh to measure the relationship. Data collected from the survey were then analysed using partial least squares-structural equation modelling.FindingsThe results of this study show that all five hypotheses developed in this study are supported. This study found a positive impact of entrepreneurial effectuation on product and market diversification. Study results also show that alliance capabilities mediate the relationship between entrepreneurial effectuation and product and market diversification.Research limitations/implicationsIn the face of internationalisation uncertainties, SMEs use effectual decision-making logic and form strategic alliances to enhance their competitive positions. This research contributes to understanding how SMEs use effectuation in navigating international markets and expanding their product portfolios and market reach.Originality/valueThis study pioneers a mediation approach to explore the relationship between entrepreneurial effectuation, alliance capabilities and diversification in SME internationalisation. Examining the interplay of decision-making logic and collaborative ventures, this study offers insights into the complexities of SME internationalisation in uncertain environments.

PRODUCT IN CHEESE PROCESSING PLANTS ANALYSIS OF PRODUCTION AND SALES SITUATION

In this article, the volume of product production in cheese processing enterprises, the analysis of the sales situation, international experiences, new reforms being carried out in our country, new opportunities being created, the types and composition of cheese products, scientific research work, the activities of cheese processing enterprises, economic co A number of issues related to indicators and statistical analysis are scientifically explained.

Analysis of income and value addition from coffee beans to coffee powder in Lintong Nihuta sub-district, Humbang Hasundutan regency

Abstract This study aims to analyze the extent of value addition and income within the Arabica coffee powder processing enterprise. The selection of the research area was purposive, guided by the fact that the Lintong Nihuta Sub-district serves as a prominent hub for Arabica coffee production. The sample for this research consisted of the Arabica coffee powder processing business BR JR Coffee, selected through the Purposive Sampling technique. The employed data analysis methods encompass the Hayami value-added calculation approach and descriptive analysis. The Hayami value-added calculation technique is employed to determine the value addition stemming from the conversion of coffee beans into Arabica coffee powder. Meanwhile, the descriptive analysis method is utilized to compute the revenue generated by the coffee powder processing endeavor. The research findings divulge that the value addition resulting from the conversion of coffee beans into Arabica coffee powder at BR Jr Coffee totals Rp52,649.087 per kilogram, with a value-added ratio of 50.57%. Additionally, the accrued income stands at Rp1,199,473 per production cycle.

PROSPECTS OF SMALL-SCALE RICE PROCESSING ENTERPRISE AMONG BENEFICIARY OF MICROFINANCE LOAN IN NIGERIA’S JIGAWA STATE

The present study empirically determined the prospects of rice value chain of paddy processors in Jigawa State of Nigeria. In spite of the role of small-scale paddy rice processors as the main engine of growth of upstream rice value chain; growth and development of rural economy in the study area, literature is undaunted with paucity of empirical information on the prospects of rice processing value chain in the study area. The study utilized cross-sectional data elicited through a well-structured questionnaire from a total of 200 processors (133 par-boilers and 67 millers) selected through a multi-stage sampling technique. An easy cost-route approach was used for data collection during the 2022 processing period and the collected data were analyzed using both descriptive and inferential statistics. Based on the empirical evidence, it is established that rice processing potential has not been fully exploited in the study area. In addition, it is evident that rice processing enterprise not only being viable and profitable; it holds a good prospect in the supply value chain of rice in the study area. However, for the prospects in the supply value chain to hold well, the target actors must adopt a defensive mechanism as inferred by the space matrix.

Sustainable Development of Platform Enterprises: A Synthesis Framework

Enterprises are the most important core organizations of the country and modern society, and their growth has always been a focal point in the theoretical field. This paper aims to focus on the sustainable development of platform enterprises by exploring the mechanism of platform growth. Thus, this paper reviews the literature and analyzes the challenges faced by platform enterprises during the four stages of birth, expansion, leadership, and self-renewal, as well as the strategies they have adopted. The main aims of this paper are to help understand the growth process of platform enterprises and identify three key points that need to be addressed for sustainable growth, including the disadvantages of resource externalities, the importance of the restructuration of business models, and the urgency of fulfilling social responsibility. To address the exogenous nature of resources, platform enterprises should pay attention to the initiative of complementors, the distribution of benefits, and ecological orchestration. The impact of technology, especially artificial intelligence, on business models and the application of technology to restructure business models should be given attention. It is also necessary to pay attention to how platform enterprises undertake their social responsibilities. A synthesis framework with seven propositions for future research has been proposed.

Suitability of potato tubers of different varieties for processing

Drying is one of the most common ways to process potato tubers. To produce high-quality dried products, the quality of raw materials is crucial, and it depends on the varietal characteristics. The purpose of this study was to investigate the suitability of potato tubers of five varieties for convective drying without blanching. The study employed the experimental method according to the developed research scheme, the laboratory method was used to determine the organoleptic, morphological, and biochemical quality indicators of fresh tubers and dry products, and the statistical method was used to process the research results mathematically. It was found that tubers of the Povin variety contained the greatest amount of dry matter and starch (24.6% and 18.4%, respectively), while vitamin C was found in Sante and Povin (over 11 mg%). The lowest amount of sugars was accumulated in the tubers of the Koroleva Anna variety – 0.32%. It was found that with an increase in the dry matter content of tubers, the starch content increases substantially (r=0.98), and the sugar content significantly affects the degree of darkening of dry products (r=0.74). The nitrate content of tubers of all varieties did not exceed the maximum permissible concentration. It was found that when potato tubers are used for convective drying, 17.1-24.5% of dry products can be obtained and 4.1-5.8 kg of prepared raw materials can be consumed. The dry matter content of the tubers and the amount of waste substantially affect the yield of the finished product. The most suitable for convective drying without blanching are the Koroleva Anna tubers, which provide a 24.5% yield of finished products with a tasting score of 5 on a 5-point scale. When using other varieties of tubers for convection drying, blanching or other methods should first be used to stabilise the colour. The materials of this study are of practical value for vegetable growers, breeders, and specialists of processing enterprises when choosing a potato variety for drying

Совершенствование моделей инновационного процесса в нефтегазодобывающей отрасли

The evolution of innovation models in the oil and gas industry is crucial for ensuring competitiveness and sustainability in the rapidly changing global market. The article presents research results on advancing models of the innovation process as applied to enterprises in the Russian oil and gas industry. The research is based on the analysis and further development of ideas from various Russian and foreign authors regarding the use of the integrated network model of the fifth generation of the innovation process – 5G. The proposals formulated in the article are grounded in the potential opportunities of digitizing oil and gas enterprises and utilizing new digital tools. In this regard, taking into account the specifics of the innovation process in the oil and gas industry, the author’s version of the innovation process model is proposed, on the basis of which it is possible to reasonably plan, organize and digitalize the management of innovative processes of enterprises. The research results contribute to expanding the range of methodologically sound models of the innovation process and are aimed at enhancing the management of innovation processes in strategically important sectors of the Russian economy. By aligning with the principles of the fifth generation of innovation models and leveraging digital technologies, this model aims to enhance the competitiveness and resilience of the Russian oil and gas industry in the global market landscape.

The role of social media in product innovation: a survey of small and medium-sized manufacturing firms

PurposePrevious studies investigating the effects of using social media in the innovation processes of small and medium-sized enterprises (SMEs) yield mixed results, and the conditions for achieving innovation benefits from social media are unclear. The present study seeks to contribute to the understanding of this topic.Design/methodology/approachWith a basis in the literature on open innovation and SMEs, this study develops a model that explains the role of social media in product innovation processes where technological focus and abilities are converted into product innovations. The model is tested through a survey of 305 Danish manufacturing SMEs.FindingsFindings show that SMEs with higher technological orientation (TO) are more inclined to use social media in their product innovation processes and that social media use explains 22.4 percent of the relationship between TO and product innovation performance. On the other hand, the data did not support the assumption that SMEs with high TO achieve higher product innovation benefits than low TO SMEs for similar levels of social media use.Practical implicationsThe results suggest that SMEs with lower levels of TO could increase their product innovation performance through increased use of social media in their innovation processes.Originality/valueThe study provides new knowledge on the role of social media in SMEs’ product innovation processes. As the level of TO increases, the use of social media in the innovation process becomes an increasingly important mechanism for deriving the full innovation potential from technological focus and abilities.

A Mechanistic Study of Enterprise Digital Intelligence Transformation, Innovation Resilience, and Firm Performance

Enterprise Digital Intelligence Transformation is based on the Digital Conversion of information and process service upgrading, further touching the enterprise’s core business, with the goal of building a new business model of Digital Intelligence Transformation at a higher level. Based on dynamic capability theory, this paper conducts an in-depth study on the mechanism of enterprise Digital Intelligence Transformation and firm performance. This paper selects manufacturing companies listed in China’s Shanghai and Shenzhen A-shares from 2013 to 2022 as the research sample, and analyzes and tests the sample data using empirical research methods in order to explore the actual impact of Digital Intelligence Transformation on firm performance, including the specific pathways of action and moderating effects. This study helps enterprises to positively face the megatrend of Digital Intelligence Transformation and upgrading and the challenges it brings, and to grasp the new opportunities in the digital era. This study finds that enterprises carry out digital empowerment transformation and development strategies, and implement information Digital Conversion, service upgrading, and Digital Intelligence Transformation to promote firm performance to different degrees. Enterprise innovation resilience has a mechanism effect between information digitalization conversion enterprise performance and process service upgrading enterprise performance. The higher the environmental uncertainty, the greater the positive contribution of information digitalization to firm performance. Digital Conversion is the base and service upgrading is the process. The current sample enterprises have limited years of data collection, and most of them have only carried out the strategic implementation of Digital Conversion or servitization, and have not reached the high-level stage of digital and intellectual transformation. Therefore, it is found that enterprise innovation resilience has not yet shown a significant role mechanism effect between digital–intelligent transformation and enterprise performance at present. And environmental uncertainty has not yet shown a significant moderating effect in the stage of Servitization Upgrading and digital–intelligent transformation. The marginal contributions of this paper are mainly reflected in the following: (1) This study introduces the dynamic capability theory to explore the role of Digital Intelligence Transformation (Digital Conversion + service upgrading) on enterprise performance. (2) This paper investigates the role of Digital Intelligence Transformation in influencing the performance of enterprises from the Digital Conversion and service upgrading phases, and enriches the relevant role and regulatory mechanisms. (3) This study provides new ideas and strategic suggestions on Digital Intelligence Transformation for enterprises with different factor intensities, at different stages of development, and in different regions.

The study of capa-casein gene polymorphism in cattle populations created on the maternal basis of the Lebedyn breed

Scientifc studies were conducted in breeding herds of the Ukrainian Brown dairy breed and the Sumy inbred type of the Ukrainian Black-and-White dairy breed to investigate the peculiarities of capa-casein gene polymorphism. What these breeds have in common is their descent from the same autochthonous breed, the Lebedyn breed. The process of creating these breeds was distinguished by the use of sires of different breeds, namely Swiss and Holstein. Genotyping of 60 cows (30 of each breed) was carried out. The polymorphism of the capa-casein gene was determined in the genetic laboratory of the Bogomolets Institute of Physiology of the National Academy of Sciences of Ukraine using molecular biological analysis of allele recognition by real-time polymerase chain reaction (PCR). It was found that Ukrainian brown dairy cows were distinguished by a higher frequency of the desired homozygous BB genotype, it was 40%. A higher frequency of homozygous genotype AA was characterised by cows of Sumy inbred type of Ukrainian Black-andWhite dairy breed (68 %). The proportion of heterozygous genotype AB was higher in cows of the Ukrainian Brown dairy breed (48 %). The frequency of the B allele in animals of the Ukrainian Brown dairy breed was 0.64, while in cows of the Sumy inbred type of the Ukrainian Black-and-White dairy breed it was only 0.20. Correspondingly, a higher frequency of allele A was observed in animals of the Sumy inbred type of the Ukrainian Black-and-White dairy breed (0.80). The ratio of allele frequencies in the animals of the studied breeds was, respectively, 1.8 times and 4 times. The actual proportion of heterozygotes was lower than expected in animals of the Sumy inbred type of the Ukrainian Black-and-White dairy breed. On the contrary, the actual heterozygosity was higher than expected in cows of the Ukrainian Brown dairy breed. The results of the analysis of the breeding data of the sires from which the animals in the experimental farms originated indicate that a small proportion of them were evaluated for the capa-casein genotype. Of the sires evaluated, only 44% of Holstein sires had the BB genotype, while 67% of Swiss sires had the BB genotype. Considering the results of the research, we believe that the formation of herds with the BB genotype is possible in the populations of both studied breeds. In the future, it will be possible to create quickly enough breeding herds with specifed genetic parameters at the request of processing enterprises. For this purpose, it is necessary to use sires that have the BB genotype for the capa-casein gene. Key words: breed, milk yield, fat content, protein content, capa-casein, genotype, allele.

Finding the right one: understanding the supplier selection process of social enterprises

PurposeThis study aims to develop an in-depth understanding of how supplier selection helps social enterprises achieve their social missions while maintaining commercial viability.Design/methodology/approachThe paper applies a multiple-case design to study the supplier selection processes of 15 Dutch social enterprises.FindingsSocial enterprises tend to build supply relationships through existing networks and evaluate suppliers based on value alignment, relationship commitment, resource complementarity, and cost. Depending on the possibility of social value creation in supplier selection, the importance of these criteria varies across different social enterprise models and between key and non-key suppliers. Moreover, suppliers’ long-term relationship commitment can help reconcile tensions between the social and commercial logic of a social enterprise and facilitate impact creation.Research limitations/implicationsData collection is limited to the perspectives of buyers – the social enterprises. Future research could collect supplier-side data to explore how they engage with social enterprises during the selection process.Practical implicationsManagers of social enterprises can use our research findings as guidance for selecting the most suitable suppliers, while organizations that want to collaborate with social enterprises should actively build network ties to be identified.Originality/valueWe contribute to the cross-sector collaboration literature by showing the underlying reasons for the preference for network reinforcing and indirect networking in supplier identification. We contribute to the social impact supply chain literature by revealing the critical role of supplier selection in shaping collaboration outcomes.

ҚОНАҚ ҮЙ ҚЫЗМЕТІНІҢ БИЗНЕС - ПРОЦЕСТЕРІН МОДЕЛЬДЕУ

The article is devoted to the management and modeling of business processes of a hotel enterprise. One of the current trends in the development of the hotel business is a significant increase in competition. Therefore, in order to create a competitive advantage, hotel companies use various approaches and tools aimed at attracting customers, providing quality services and improving the image of the hotel. One of these approaches for hotel companies is the implementation and management of innovative and efficient business processes. A necessary step in the effective application of the process approach in the management of an enterprise is the modeling of business processes. During the research, diagrams of business processes of hotel services were developed using the standardized BPMN methodology. Using these BPMN diagrams, you can determine the end result of the entire process, and analyze the activities of the enterprise. The proposed model can be used in the development of hotel service standards, identification of weaknesses and vulnerabilities in the hotel service, training of hotel staff, as well as in the educational process in the training of highly qualified specialists.

A study of the impact of regional O2O teaching quality on the digital transformation of listed companies

With the acceleration of global digital transformation, listed companies urgently need to adapt to this trend in order to enhance competitiveness and achieve sustainable development. Focusing on the data of listed companies in China over the period from 2010 to 2022, this study examines the role of regional O2O teaching quality in the process of corporate digital transformation and its influence mechanism. It is found that regional O2O teaching quality has a significant facilitating effect on the digital transformation of listed companies, and this effect is more pronounced in companies with larger financing constraints, larger firm sizes and less institutional attention. In addition, regional O2O teaching quality further accelerates the digitalization process of enterprises by enhancing the management’s foresight and innovation awareness. High-quality O2O teaching not only enhances employee skills and innovation, but also facilitates management to make longer-term planning and decisions in the face of a rapidly changing market environment, laying a solid foundation of talent and technology for an enterprise’s digital transformation. These findings provide new perspectives on how listed companies can utilize regional educational resources to promote digital transformation, and provide practical guidance for the development of related digital strategies.

Application of Artificial Intelligence in the Restaurant Business

Actuality. Nowadays, the development of artificial intelligence affects the activities of all human life spheres, and the restaurant business as well. It can be explained by the fact that restaurant business enterprises are very sensitive to changes in the environment, and they need to constantly improve their activities for competitive functioning. It is artificial intelligence that will allow to work effectively in the market of restaurant services, influencing the demand and increasing the income. Therefore, the topic of application and implementation of artificial intelligence in restaurant business enterprises is relevant. The aim of the article is to substantiate the essence of the “artificial intelligence” concept, identify its advantages and disadvantages, as well as the possibility of its application in restaurant business establishments. Research methods: abstract-logical (when systematising information sources on application and implementation of artificial intelligence), argumentative (when setting a study problem and formulating scientific novelty), descriptive (when interpreting terms), analysis and logical generalisation (when considering advantages and disadvantages of AI application), conclusion (when describing AI application in different processes of enterprise activity), generalisation (when making research conclusions). Results. A few basic concepts of “artificial intelligence” are described in this article, as well as their interpretation is presented by the author. The article describes. The testimonial of different types of artificial intelligence is given. The advantages and disadvantages of using AI in the restaurant business are highlighted. The importance of using artificial intelligence technologies for restaurant business enterprises is proven. Conclusions and discussion. It is offered to apply AI in the following processes of restaurant business enterprises: order formation, customer service, personnel selection, maintenance and equipment of the establishment, purchase of raw materials and products, planning the activities of the enterprise structural partitions, marketing and advertising. The main advantages of using artificial intelligence in the restaurant business are such: reducing production waste, optimising the production process, improving the quality of customer service, increasing the income. The scientific novelty of the study consists in the analysis of using the artificial intelligence system in different activity processes of service sector enterprises, which will contribute to the efficiency of restaurant business enterprises.

Peculiarities of investment and innovation potential in the assessment of the development of agribusiness enterprises

Three main criteria of investment-innovation potential of agricultural sector enterprises are identified: investment-innovation potential is a set of resources necessary for investment-innovation activities; investment and innovation potential is primarily related to the possibility and conditions (both internal and external) of using resources; investment and innovation potential should be aimed at the optimal use of investment and innovation resources to ensure the effective operation of this development subject. This allows for the identification of resource, organizational, economic and performance components that are key components of investment and innovation opportunities. A step-by-subject characterization of the investment-innovation potential of agro-industrial complex enterprises and a methodology for assessing the investment-innovation potential have been developed, which allows to qualitatively assess the investment-innovation potential of agricultural and processing enterprises (including special groups of indicators that take into account the specifics of their activities) and evaluate and compare them among themselves. It is proved that the inactivity of agricultural commodity producers in mastering the achievements of science and technology is due to the lack of a developed intermediate connection between science and production, which provides the most complete information about the modern achievements of science and technology to producers of raw materials. According to the results of the conducted research, it was established that at the current stage of development in domestic agriculture, the main subjects of innovative infrastructure can become agricultural technology parks and information and consulting centers, which are part of a single information and consulting service. Considering the peculiarities of the domestic agro-industrial complex, it is considered most expedient to create an agro-technological park in the form of a non-commercial partnership, which will contribute to the integration of multifaceted resources. organizations, mainly highly efficient agricultural commodity producers and educational establishments of higher education institutions, capable of carrying out innovative activities to achieve a common goal - innovative development of the agrarian sector of the economy. Agrotechnoparks should be created based on the product base, that is, their activities should be aimed at innovative development of agricultural production and the development of certain types of products. Agrotechnopark can be considered as a set of administrative, production, educational, research and marketing divisions.

The Impact of Trade Policy Uncertainty on Export Enterprises' Innovation

In the context of the complex and variable global trade environment, the importance of cultivating new competitive advantages for foreign trade is gradually highlighted. This directly concerns the development quality of our country's trade and is the necessary path for enterprises to achieve innovative development. Clarifying the main position of enterprises in technological innovation is key to constructing a high-quality development pattern. However, due to objective factors, such as adjustments in the international environment and the presence of emergencies, the uncertainty of our country's trade policy has significantly increased, bringing new challenges to the innovation activities of export enterprises. It is essential to analyze from different angles and explore the impact of trade policy uncertainty on the innovation of export enterprises. During the development process of enterprises, the uncertainty of trade policy represents facing higher market impacts and cost pressures. It can also inspire the innovation motivation of enterprises, prompting them to seek new competitive advantages. For the government, how to create favorable conditions for enterprise innovation while ensuring the stability of trade policy is also an important topic. Therefore, this paper's research helps enterprises better understand the impact of trade policy uncertainty on their innovation activities, thus formulating more reasonable and effective innovation strategies; it also provides useful references for the government in policy-making, helping to create more favorable conditions for the innovative development of our country's export enterprises in a complex and variable international environment.