Competitiveness Of Enterprises Research Articles

УПРАВЛІННЯ РИЗИКАМИ НА МАШИНОБУДІВНИХ ПІДПРИЄМСТВАХ: ДЕЯКІ ПРОБЛЕМИ, ШЛЯХИ ВИРІШЕННЯ

The article presents the results of an in-depth analysis of risk management in the engineering industry, taking into account the importance of effective strategies of such management for business success and sustainable development. The main focus is on identifying problems faced by machine-building enterprises in risk management; some approaches to solving these problems are proposed. The fundamental nature of risks in business processes is outlined, their critical impact on the operational and financial aspects of machine-building enterprises is emphasized. Common industry risk factors such as market volatility, technological advancements, regulatory changes and operational inefficiencies are identified. Attention is paid to the outline of the current state of risk management practice in the engineering industry. The main difficulties faced by enterprises are highlighted, including insufficient risk control mechanisms, lack of integrated risk assessment systems at the planning and design stages, as well as insufficient use of modern technologies in risk management. The proposed recommendations include the development and implementation of a reliable risk control system that covers all stages of the business process, the implementation of modern technologies such as data analytics to improve the efficiency and accuracy of risk management methods. Certain risk management algorithms recommended taking into account the experience of the leading machine-building enterprises in the Vinnytsia region as components of strategic planning can contribute to competitive advantages, long-term development and long-term success in the activities of machine-building enterprises. It is emphasized that ignoring risk management or their insufficient control can cause serious consequences, including financial losses, deterioration of reputation and loss of competitiveness of enterprises.

COMPETITIVENESS OF ENTERPRISES OF THE TRANSPORT AND LOGISTICS SYSTEM IN THE DIGITAL ENVIRONMENT

Despite the number of scientific developments related to the theory of competition and factors that affect the competitiveness of enterprises, the problem of their determination for enterprises of the transport and logistics system in the conditions of digitalization and rapid varia­bility, uncertainty of the environment, remains relevant. Based on the theoretical studies of scien­tists in various fields, including transport and logistics, which relate to the impact of digitalization on the competitiveness of enterprises, it is determined that factors that comprehensively cover the possibilities of digitalization and the influence of VUCA and BANI of the world on enterprises and consumer behavior in the digital environment require further consideration. In the article, the theoretical definition of factors affecting the competitiveness of enterprises of the transport and logistics system was further developed, which, unlike the existing ones, comprehensively take into account such components as changes in technologies, equipment, enterprise management, consu­mer behavior, and marketing activities. Among the identified factors, considerable attention is paid to innovation, both in engineering and technology, and in enterprise management and marketing activities. An important place among the factors of competitiveness of enterprises is the stakeholder approach to management and marketing, which provides an opportunity to comprehensively take into account the interests of stakeholders, among whom the main ones are consumers of transport and logistics services. Changes in their behavior in the modern world are considered. Factors related to the internal management system that affect the competitiveness of enterprises are also determined. Thanks to a comprehensive approach to determining competitiveness factors and changes occurring in the digital environment, enterprises of the transport and logistics system will be able to form their strategy and tactics in certain aspects, which will increase the level of their competitiveness. The results of the study provide an opportunity to further systematize and detail the factors that affect the competitiveness of enterprises of the transport and logistics system and affect the sustainability of the enterprise in conditions of rapid changes.

The internationalization of capital market and corporate innovation capabilities: A quasi-natural experiment on the inclusion of China's A-shares in the MSCI index

The capital market serves to link capital with the real economy. This study examines the long-term effects of capital market internationalization from the perspective of real economy corporate innovation capabilities. To do so, a quasi-natural experiment is conducted in which China's A-shares are included in the MSCI index to construct a time-varying PSM-DID model and study the impact of capital market internationalization on corporate innovation inputs and outputs. The results show that bringing China's A-shares in the MSCI index significantly improves corporate innovation capability through signaling and supervisory effects. Specifically, the internationalization of the capital market reduces corporate financing costs, increases corporate risk-taking, improves long-term institutional investors' shareholding, and alleviates managerial myopia. Furthermore, these effects were found to be more significant for both high-management shareholding enterprises and low-industry competition enterprises. The research conclusions support the proposition to further unleash corporate innovation, and as such, they have important implications for promoting the internationalization of the capital market.

Формирование системы оценки эффективности бизнес-процессов на базе SMART-подхода

Aggressive and volatile business environment determines the need to study and use innovative and progressive management paradigms that are able to ensure the competitiveness of enterprises in target markets. The subject of the study is a set of theoretical and applied principles for evaluating the effectiveness of economic entity’s business processes based on a system of certain indicators. The purpose of the study is to develop a methodology for evaluating the effectiveness of enterprise’s business processes based on the SMART approach. The authors present their vision of the groups of indicators that can be used to determine the effectiveness of business processes. The study uses a SMART approach to setting goals, which helps to correctly formulate the desired result and provides an understanding of the direction. The authors propose an approach to evaluating the business processes’ effectiveness based on six criteria: process efficiency, efficiency of providing the necessary resources, product cost, resource productivity, length of one technological cycle, adaptability of the process. Based on the synthesis of concepts such as the balanced scorecard, functional and cost analysis, and key success factors the authors create an original model for evaluating the effectiveness of business processes.

Efficiency of investment activity in the dairy subcomplex

The article presents the results related to the evaluation of the effectiveness of investment activities in the dairy subcomplex. It is established that investments are an important component of the economic development of the dairy subcomplex, the effectiveness of which depends on a set of factors of the macro- and microeconomic environment, its organizational and economic characteristics, the investment strategy of enterprises, objects and sources of investment, the period for which capital is invested, the certainty of its future effect and the associated risk level. It was found out that in the conditions of low competitiveness of dairy subcomplex enterprises, there is a need to use effective investment projects, which significantly strengthened the role of investment efficiency analysis as a tool within which it is possible to justify, evaluate and select priority investment projects. It is determined that the task of analyzing the effectiveness of investments is the calculation of profits and cash flows, the assessment of their effectiveness, the identification of the influence of uncertainty factors on their profitability, the selection of optimal investment projects. It is advisable to organize the analysis of the effectiveness of investments in the following areas: the definition of subjects and objects of analysis; the choice of organizational forms of analysis, depending on the organizational structure and the distribution of responsibilities between individual performers; the preparation of the analysis program and its information support; analytical data processing, design and generalization of the analysis results. The proposed methodological approach to the analysis of investment efficiency takes into account the conditions of an unstable market environment (variable macroeconomic conditions, insufficient supply of dairy raw materials, uncertainty about wholesale purchase and sale prices), makes it possible to determine the effectiveness of investments, conduct risk analysis by simulation and predict data for risk analysis using regression methods.

Research of the Ukrainian market and quality of home and sleepwear

The study of demand, supply, and assortment of clothing indicates the need to improve production control, select high-quality raw materials to increase competitiveness and meet consumer needs in this market segment. The purpose of the study was to analyse supply and demand in the Ukrainian market of home and sleepwear and its range. The study assessed the supply and demand market with the help of information resources and search services on the Internet. In the conditions of the enterprise ELLEN GROUP LLC, organoleptic, instrumental methods of assessing the quality of consumer properties of raw materials and finished products were used during production control using regulatory documentation. The factors influencing the formation of high quality of finished products, namely the manufacturing process, stages of production quality control, regulatory documents and consumer properties, were investigated. The analysis of fashion trends and market offers allowed to determine the demand and create a modern classification system for home and sleepwear that meets modern consumer requirements. The main factors that shape the quality level of finished products are highlighted. It is determined that the high quality of garments is achieved by observing a clear technological process of their manufacture. The quality is governed by the rules and regulations of the state standards and normative documents and the use of high-quality raw materials. Recommendations are provided to guide the choice of high-quality clothing for home and sleep with ensuring comfort and safety of the consumer during use. A classification system has been developed, taking into account current market offers, different needs and requirements of consumers. The factors influencing the formation of high-quality clothing for home and sleep are identified. They are the technological process of manufacturing, during which aesthetic, ergonomic properties are formed and the choice of raw materials with high-quality indicators, which ensures an appropriate level of consumer properties such as hygiene and safety of finished products. To achieve optimal everyday comfort and quality sleep, the main aspects and effective solutions that should be followed when choosing clothes for home and sleep are outlined. The results of the study should increase the competitiveness of enterprises, improve the quality of life of consumers, in particular in the field of home and sleepwear

Analysis of Energy International E-commerce Innovation Strategy Based on Global Value Chain

INTRODUCTION: With the drive of globalization and digitalization, the global energy industry is undergoing a brand new transformation. Energy international e-commerce is an emerging paradigm that continues to grow within the global value chain framework, bringing significant changes and opportunities to the energy sector.OBJECTIVES: This research examines the role of international e-commerce in advancing the energy industry's growth, maximizing the distribution of resources worldwide, and boosting market competitiveness. It does this by analyzing the innovation strategy of the sector based on the global value chain.METHODS: The basic concepts and characteristics of global value chain theory and energy international e-commerce are analyzed, and then the innovation strategies in technological innovation, international cooperation, supply chain optimization, and data-driven are explored in depth, and empirical analyses of these strategies are conducted through case studies.RESULTS: It is found that technological innovation not only promotes the development of international energy e-commerce but also gives rise to new business models; international cooperation and supply chain optimization effectively optimize the global resource allocation and market layout; and data-driven market expansion strategy improves the market competitiveness of enterprises. The case study results further validate the effectiveness and practicality of these strategies. CONCLUSION: Energy international e-commerce innovation strategies based on GVCs play an essential role in promoting the transformation and upgrading of the energy industry, optimizing resource allocation efficiency, and enhancing enterprises' market competitiveness.

Research on an Optimal Maintenance and Inventory Model Based on Carbon Tax Policy

The equipment in a factory will gradually deteriorate during production, leading to the production of defective products. Without appropriate maintenance, the defect rate will increase over time. Consequently, the production cost will rise, the inventory quality will be affected, the profit will decrease, and the risk of carbon emissions will increase, leading to more customer complaints and damaging the corporate image. In addition to focusing on preventive maintenance to ensure the quality of products, companies should also take carbon emissions into consideration. Furthermore, the frequency of maintenance must be carefully considered, as both carbon emissions and maintenance costs will increase if the frequency is too high; conversely, if the maintenance frequency is too low or non-existent, the defect rate may increase cumulatively, or production may be suspended due to equipment failure. Therefore, this research explores preventive maintenance and inventory management issues within an imperfect production system and develops an extended economic production quantity model that incorporates defective products as well as taking carbon tax and preventive maintenance into consideration. The main purpose is to determine the optimal maintenance frequency, production, and replenishment cycle length, so as to maximize the total profit under the carbon tax policy. This study demonstrates a computing process with relatively impractical product data based on the actual business situation of a disposable diaper manufacturer. Furthermore, a sensitivity analysis is implemented to the model parameters in the proposed model. The managemental insights are illustrated based on the results of theoretical analysis to provide a reference to policy makers during decision making, hence, to secure the sustainability and green transitions of corporates. The results of this study not only help to reduce environmental impact but can also improve the competitiveness and sustainable development of enterprises.

Research of the mechanism of innovation implementation in the activities of Russian enterprises

In the conditions of globalization and development of information technologies, the competition of enterprises on national and international scales is significantly aggravated, which determines the importance of ensuring competitive advantages for any enterprise through innovation. In modern conditions, the effectiveness of innovation activity of the enterprise and, accordingly, its competitiveness depends primarily on the completeness and reliability of business information about the activities of counterparties and the conditions of the external environment. The value of informing about possible changes in the business environment has a manifestation through the prevention of tactical and strategic errors of enterprise management. Innovative development is the basis of competitiveness of modern economies, which provides the possibility of accelerated growth at macro- and micro-levels on the basis of creation and strengthening of intellectual potential in the global business environment. Despite the presence of significant conditions for qualitative changes on an innovative basis, the Russian Federation continues to be in a complex highly turbulent period of unstable growth. Therefore, the task of domestic economic science is to find mechanisms for the implementation of modern management of innovative development in the practice of enterprises in the Russian Federation, systematizing and developing its methodology. This requires an in-depth scientific study in the direction of searching for conceptual foundations for the activation of innovative development of enterprises to make a technological leap in the Russian Federation, in particular, on the basis of attracting breakthrough innovations, modern concepts of knowledge management, formation of relevant business models, management of high added value processes and the use of information and communication technologies in the digital space.

A group decision framework for core competitiveness evaluation of small and medium-sized foreign trade enterprises under probabilistic linguistic term sets

Since the reform and opening up, China’s foreign trade has developed rapidly. The import and export trade volume has doubled, and the team of foreign trade enterprises is constantly expanding. After China’s accession to the WTO and the liberalization of foreign trade management rights, a group of small and medium-sized foreign trade enterprises have grown up in recent years and are becoming a new force in the development of China’s foreign trade industry. So, how to make these enterprises grow and grow in the international market competition, and focus on cultivating the core competitiveness of small and medium-sized foreign trade enterprises, has become a strategic issue related to the overall development of foreign trade. Recently, COmbinative Distance-based ASsessment (CODAS) method computes the Euclidean distances as the primary measure and Hamming distances as the secondary measure to assess alternatives based on predetermined attribute. Moreover, the probabilistic linguistic term sets (PLTSs) are effective tool for depicting uncertainty of the multiple attribute group decision making (MAGDM) problems. The core competitiveness evaluation of small and medium-sized foreign trade enterprises is a classical MAGDM. In this paper, the CODAS method is extended to the MAGDM with PLTSs. Firstly, the definition of PLSs is introduced. Then, on the basis of the classical CODAS method, the PL-CODAS method is proposed to cope with MAGDM under PLTSs and its significant characteristic is that it can fully consider PLED and PLHD. Finally, a practical example for core competitiveness evaluation of small and medium-sized foreign trade enterprises is given to verify the developed approach and some comparative analysis was also given to verify the PL-CODAS approach.

Agricultural Distilling During the Period of the Excise System in Russia (1863–1894)

Relevance. Despite the wide coverage in the press of the process of economic evolution of distillery in excise Russia, the grounds for dividing factories into agricultural and industrial, the reasons for state guardianship of distilleries in rural areas have not received systematic scientific analysis. However, this topic is very important for understanding the essence of the excise tax. In this regard, the presented article has absolute relevance and significance.The purpose is to assess the state of agricultural distillery during the period of the excise tax system on alcohol in Russia.The objectives of the article follow from the set goal and are to: identify trends in the development of distillery production under excise duty; justify the division of factories into agricultural and industrial; explain government steps to support agricultural distilleries.Methodology. The principles of historicism and objectivity were used as methodological tools, supplemented by historical-genetic, historical-comparative, historical-descriptive research methods.Results. The wine reform of 1863 established excise rules for distilling. They were getting tougher every year. Distilleries located in landlords' estates, which smoked wine from the products of their farms, used production waste for livestock feed and for fertilizing fields, could not cope with the norms and were closed. Factories that produced alcohol for commercial purposes intensified the production process and grew quantitatively. The Ministry of Finance received requests to support agricultural-type plants. Act of June 4, 1890 He determined the legal status of agricultural distilleries and provided them with preferential taxation.Conclusion. Distillery production was improved under the influence of strict excise regulations. Distilleries of rural owners could not withstand the competition of industrial enterprises. The government showed paternalistic concern for agricultural distillery, which went against the financial interests of the state.

ASSESSING THE IMPACT OF ARCHITECTURE EFFICIENCY ON THE BUSINESS MODEL COMPETITIVENESS

The purpose of this research is to develop a methodological approach to assessing the impact of the architecture effectiveness of the enterprise business model on the level of its competitiveness. The study methodology suggests the author’s approach to assessing the architecture effectiveness and the level of enterprise competitiveness. The scenario approach was used in order to the evaluate the connection between competitiveness, business model potential and enterprise architecture based on the economic-mathematical method of solving the nonlinear optimization problem through the use of hierarchical synthesis. The study was conducted according to the materials from 15 private clinics in Ukraine. The analysis of the obtained indices of architecture efficiency, competitiveness and potential level of the business model of the private clinics under study was carried out. It is determined that the level and growth rates of the enterprise architecture efficiency of private clinics have significant distinctions, which affect the level of their competitiveness. A group of leading companies in terms of the level of business model potential is singled out based on the definition of the correlation between the level of business model potential and the enterprise architecture efficiency. It is established that the level of business model potential of private clinics is substantially dependent on the level of enterprise architecture efficiency. It is proved that the efficiency of enterprise architecture has a significant influence on the potential and competitiveness of the business model. The novelty of the study consists in the methodological approach to assessing the impact of business model architecture on the level of its competitiveness, taking into consideration the identification of functional rather than strictly parametric correlation between variables. This research can be useful for professionals, scientists and researchers involved in developing and implementing effective business models and designing the enterprise architecture in order to achieve the company’s strategic intentions and to create and maintain competitive market positions.

An Exploration of the Computer Big Data Mining Service Model Under Resource Sharing

In order to meet the diverse needs of users for data mining services and improve resource utilization and enterprise competitiveness, this article aims to construct a Big Data Analytics (BDA) data mining service model based on resource sharing mechanisms. This article designs a customized data mining service model for BDA based on its characteristics. In this model, the authors apply the improved Apriori algorithm to determine the optimization plan and improve the ant colony optimization algorithm to improve the efficiency and accuracy of data mining. By analyzing the experimental results, the scientificity and rationality of the proposed data mining service model for BDA were demonstrated, and the implementation strategy of the data mining model was improved. These research findings provide important references for BDA's data mining service model based on response surface modeling and also provide guidance for enterprises on how to better utilize resources and improve competitiveness when facing big data.

Research on the Decision Making of Value Chain Reconstruction of Chinese Port Enterprises under the Background of Free Trade Zone Policy

This paper aims to solve the decision-making problem of value chain reconstruction of Chinese port enterprises under the background of the Free Trade Zone policy. Based on value chain theory and system dynamics method, this paper constructs a simulation model that can simulate the value-added change process of port enterprises under different combination input conditions. Furthermore, it conducts simulation case studies. The research indicates that the Free Trade Zone policy has a significant promoting effect on the restructuring of port enterprise value chains and the transformation and upgrading of enterprises. Moreover, considering the impact of the Free Trade Zone policy and limited resources, the overall benefits to port enterprises from combined investments are superior to those from single-factor investments. According to the value chain theory, the business segments of a port are decomposed into ancillary value activities, basic value activities, and external value activities. The investments in these three types of value activities play roles, respectively, in enhancing the operational efficiency of port enterprises, expanding the business scope of port enterprises, and strengthening the core competitiveness of port enterprises. From the overall perspective of the system, Shanghai Port can obtain the maximum operating profit when the endogenous factor input rate is 13%, the basic factor input rate is 4%, and the exogenous factor input rate is 13%. The findings of this research provide a decision-making reference for Chinese port enterprises to realize value reconstruction, transformation, and upgrading in the context of the Free Trade Zone policy.

АНАЛИЗ ВЛИЯНИЯ ИЗМЕНЕНИЙ В МИРОВОЙ ЭКОНОМИКЕ НА КОНКУРЕНТОСПОСОБНОСТЬ РОССИЙСКИХ СУБЪЕКТОВ МСП

In the context of globalization and accelerated development of the world economy, Russian small and medium-sized businesses face the need to adapt to constantly changing conditions. The article provides an overview of the main factors affecting the competitiveness of Russian small and medium-sized enterprises, as well as explores possible ways to improve their positions in the global economy.
 The analysis of the impact of these changes on the competitiveness of Russian small and medium-sized enterprises is an urgent task. Understanding the factors that determine the success or failure of enterprises in the market allows you to develop development strategies and make effective management decisions.

Transition to industry 5.0 with ai and digilitalization of production systems

This paper presents a comprehensive framework for integrating advanced artificial intelligence (AI) and digitalization into manufacturing processes, and contributing to the transition towards Industry 5.0. By focusing on a human-centric approach, advanced AI integration, sustainability, and flexibility, the study outlines strategies for enhancing production systems and competitiveness in enterprises. The main goal was to develop a model that outlines the transition process towards Industry 5.0. Additionally, suggestions and guidelines for improving enterprise production systems and competitiveness are discussed. The findings suggest that embracing digital transformation, collaborative robotics, and continuous innovation are vital for achieving operational efficiency, environmental sustainability, and personalized customer experiences. The paper highlights the importance of ethical practices and continuous learning in fostering a resilient and innovative industrial ecosystem.

Regional competition, spatial spillover effects, and entrepreneurship subsidy policies—evidence from incubators in Guangdong, China

ABSTRACT Using data from 2016 to 2018 for all incubators in Guangdong, China, we find that for start-up incubators, the average subsidy level of the city where the incubator is located is significantly positively correlated with the number of patents obtained per unit area of the incubator, regardless of the subsidy amount obtained by the incubator itself. However, this phenomenon is not significant for incubators that have been established for more than 1 year. The subsidy policy of the local government has a significant positive direct effect on the number of patents obtained per unit area of local incubators, but a significant negative indirect effect on incubators in neighbouring regions. Both effects are similar in magnitude, with the overall effect of the subsidy policy being almost completely offset. Therefore, owing to the spatial spillover effect, a considerable part of the effect of the local government subsidy policy only manifests as competition for high-quality enterprises between regions, and the actual improvement of the operational performance of the enterprises themselves is not obvious. Therefore, ignoring the spatial spillover effect of subsidy policies greatly reduces their actual effect.

Application and Analysis of an Interspecific Competition Model in a Digital Economy Ecosystem

Expanding industrial digitization is vital for a thriving digital economy. This article delves into the application of interspecies competition models within the digital economy ecosystem. Such models aid in analyzing competitive dynamics among enterprises and understanding innovation trends. Interspecies competition models offer insights into enterprise competition within the digital economy ecosystem. They illuminate competitive landscapes, enabling strategic planning for enterprises facing peer and cross-industry competition. Moreover, these models facilitate the study of innovation and evolution, predicting market trends and aiding decision-making for enterprises and policymakers. Empirical studies across e-commerce, fintech, and sharing economy sectors validate the effectiveness of interspecies competition models. Analysis using these models elucidates competitive dynamics and provides actionable insights for enterprises and policymakers. Furthermore, addressing data migration bandwidth issues in cloud processes fortifies digital ecosystem construction.

Project Investment Decision Under Uncertain Information

With the change of environment and market, the current investment project decision is facing a more complex environment, the competition of enterprises intensifies, the decision complexity increases, and the demand for scientific decision is increasing. The advantage of multi-attribute decision making in investment project decision is increasingly prominent. This paper studies the application of multi-attribute decision making under triangular fuzzy uncertainty information in investment decision making. Considering the decision makers' risk aversion and preference attitude in multi-stage decision making process, a dynamic reference point setting method based on stage development characteristics is proposed. Considering that the attribute value and attribute value will produce compensation in the decision-making process, the attribute value difference formula is constructed to reduce the decision-making bias, and on this basis, an improved TODIM method is proposed. The triangular fuzzy number uncertainty information is introduced to evaluate the attributes of each scheme in each decision stage, and the information is aggregated by the aggregation operator. Combining the dynamic multi-attribute decision model, the practical problem is solved. The practicability and feasibility of this method are demonstrated by the example analysis and method comparison.

Analysis of the Marketing Strategy of Freshippo Based on the 4Ps Theory

With the emergence of the epidemic and the rapid changes and development of the fresh new retail industry, Freshippo, as a leading enterprise, has also attached great importance to its marketing strategy research. More and more competitive enterprises are emerging, analyzing Freshippo’s marketing strategy to identify strengths and weaknesses and propose improvement suggestions is crucial for Freshippo to maintain competitiveness. Therefore, this article uses a research method that combines literature analysis and case analysis, using 4ps marketing theory, to deeply analyze the current marketing strategy status of Freshippo in four aspects of product, price, place, and promotion. Research has found that Freshippo has problems such as high prices,poor offline store experience, single payment methods, incomplete app functions, and insufficient promotion methods. Based on those problems mentioned above, this article also provides some reference improvement suggestions，such as strictly control product quality, increase product variety, conduct differentiated pricing, optimize the experience of offline stores, enrich on line payment methods, enrich member rights, and increase online marketing. From the research, it can be found that although Freshippo is in a leading position, there is still a lot of room for improvement in marketing strategies. As an emerging industry, the fresh new retail industry still has great development space.