Enterprise Planning Research Articles

Mapping aquaculture in inland continental areas of Brazil using machine learning on the Google Earth Engine

Aquaculture has played a significant and growing role in the provision of food, food security, and job creation, while simultaneously establishing itself as an important agricultural activity subject to increasingly stringent market practices. The generation of spatial information on aquaculture activity in Brazil can support more assertive planning of new enterprises as well as enable the monitoring of this activity over time, fulfilling an agenda of sustainable aquaculture growth in the country. The aim of this article was to map aquaculture areas in the state of Paraná (Brazil) by developing an automated methodology for the extraction of aquaculture ponds. The methodology was implemented on the Google Earth Engine (GEE) platform and utilized satellite images with a spatial resolution of 4.77 m from Norway’s International Climate and Forest Initiative (NICFI) Program – Planet. The process involved pixel-oriented classification of satellite images and the utilization of the Random Forest (RF) algorithm for classification, based on 1200 training samples. The accuracy of the mapping and the algorithm was evaluated using Producer Accuracy (PA), User Accuracy (UA), and Overall Accuracy (OA). The mapping achieved an OA of 0.87, with a PA of 0.89 and a UA of 0.96 for the aquaculture class, and a PA of 0.66 and a UA of 0.41 for the non-aquaculture class. 42,369 aquaculture ponds were identified in the study area, covering a total area of 11,515 ha. The ponds had sizes smaller than 0.7 ha and non-circular shapes (compactness 0.70). Around 40% of the identified aquaculture tanks were concentrated in just two out of the ten analyzed mesoregions, accounting for 40% of the water surface area used for aquaculture in Paraná. Considering that the results obtained show potential to fill the gap in geospatial information about state aquaculture, our methodology would provide a broad understanding of the state’s aquaculture framework, definition of regions with capacity for the expansion of aquaculture ponds, accuracy in estimating the state’s productive space, monitoring the improper expansion of aquaculture areas, as well as establishing locations where the pressure on water resources by aquaculture prevents the expansion of this activity. Therefore, this study could benefit public and private organizations, and other stakeholders, by systematically monitoring aquaculture production in the country’s leading fish farming state, contributing to assertive decisions in regions where aquaculture production needs to expand sustainably.

Consideration of the Application and Risk Prevention of VAT Tax Rebate Policy for Construction Enterprises at the End of the Period

The “Announcement on Deepening the Value-Added Tax Reform” clearly outlines the preferential policy regarding incremental retention tax rebates. With the advancement of value-added tax (VAT) reform and the improvement of VAT legislation in China, VAT tax planning for construction enterprises, particularly related to retained tax credits, has become routine. This paper, focusing on the characteristics of construction enterprises, analyzes VAT retained tax credits at the end of the period, the status of tax refunds, practical issues, and related processes, and offers suggestions for policy application and risk prevention.

The Role of Digitalization in Enhancing Outward Foreign Direct Investment: New Advantages for Chinese Enterprises

With the rapid development of big data, cloud computing, artificial intelligence, and other technologies, digital construction has gradually become a crucial means of enterprise development, significantly impacting the operation and management activities of enterprises. Outward Foreign Direct Investment (OFDI) is one of the key pathways for Chinese enterprises to “go global,” contributing to improved economic efficiency and promoting national economic development. Therefore, studying the advantages of digitalization in OFDI activities will aid in exploring effective methods for Chinese enterprises to engage in OFDI within the digital economy and provide an important foundation for strategic enterprise planning and national policy formulation. This paper combines the current state of OFDI among Chinese enterprises, analyzes the advantages and roles of digital construction in OFDI, and explores relevant countermeasures, aiming to provide theoretical references for enterprises’ OFDI activities in the context of digitalization.

Identification of transformer overload and new energy planning for enterprises based on load forecasting.

The new energy system constructed by energy storage and photovoltaic power generation system can effectively solve the problem of transformer overload operation in some enterprises. It can not only reduce the cost of electricity, but also realize low-carbon emission reduction. However, due to its low return on investment, the willingness of enterprises to install new energy is not high. In this paper, we first establish a load forecasting model to users whose transformers are overloaded or about to be overloaded, which are potential customers with new energy installation needs. Then, Optimal configuration models of PV and energy storage systems based on nonlinear programming are developed for these potential customers. The optimal installed capacity of the PV energy storage and the optimal charging and discharging strategy for the energy storage system can be obtained. This optimization strategy ensures that the electricity consumption of the enterprise does not exceed the rated capacity, and effectively reduces the enterprise's basic tariff and electricity price to achieve cost reduction and efficiency. Finally, taking a building materials production factory as an example, we obtain the optimal plan for the new energy capacity, as well as the economic benefits of the plan and the specific strategy of energy storage charging and discharging for this factory.

Assessment of material consumption planning methods in part of waste and losses at pipe industry enterprises

This article focuses on the subsystem of economic planning, specifically the standardization of material consumption in industrial production within the pipe industry, particularly in terms of calculating planned waste and loss indicators. Waste and losses are key components of the material consumption norm that currently require thorough analysis. The objective of the study is to evaluate the methodologies used in economic planning within pipe industry enterprises for standardizing waste and losses through comparison with the results of a control calculation. The main hypothesis posits that methodologies not fully adhering to the principles of the computational-analytical method of economic planning may not accurately calculate the amount of waste and losses as part of the material consumption norms. The study employs a method of comparative analysis, ensuring its reliability by developing a two-stage approach to comparing methodologies based on objective waste quantity indicators. Real data from pipe manufacturing companies is utilized to validate the author's approach, with calculations conducted using two methodologies and a control model, leading to an assessment and justification of the preferred methodology for standardization practice, highlighting its advantages. The research provides a scientific rationale for selecting the most objective standardization methodology based on two key criteria – the accuracy of economic calculations and their alignment with the production process. The conclusions and recommendations of the authors can be foundational in developing industry-specific guidelines for standardizing material consumption in the pipe industry. The adoption of a more effective methodology will result in the establishment of objective material consumption norms and enhance the quality of economic planning in pipe industry enterprises.

Spatial association between chronic respiratory disease mortality rates and industrial manufacturing enterprises: A case study of Chongqing, China

Industry has long been a driving force in the national economy of Chongqing, a traditional industrial hub in China. Current research provides limited understanding of the spatial associations between industrial manufacturing enterprises and CRD mortality in urban areas of Western China. This study employs location data of CRD death patients and Points of Interest (POI) representing industrial manufacturing enterprises from 2012 to 2020. It explores their spatial patterns and associations through spatial clustering identification, co-location, and association effects. Key spatial association characteristics identified include: (1) High-risk CRD mortality areas are predominantly located in Tongnan District and Kaizhou District in the western and northeastern parts of Chongqing, with an increase in CRD mortality rates correlated with age and a higher prevalence among females. (2) The optimal bandwidths for spatial association characteristics are 0.18 m and 0.475 m, respectively. (3) The construction and mining industries exert a more substantial impact on the mortality rates of younger CRD patients, with a notably stronger spatial impact on male patients compared to female patients. These insights are critical for guiding public health policy and spatial planning of industrial manufacturing enterprises in Chongqing.

Mining Enterprise Production Line Optimal Load Modelling

The article is devoted to the issues of the mining enterprise production line optimal load model. A large number of issues to related to alternative production plan implementation transition are considered in various works. A mathematical model to form an optimal plan mining enterprise raw material mixture from deposits is proposed in the study. A method of multi-criteria alternative ranking in terms of integral efficiency indicator with the following problem solution of optimal plan determination for a raw material mixture from deposits was chosen for that purpose. The article proposes an approach to determine the production line optimal loading plan of a mining enterprise based on the creation of an ore mixture with the highest utility. The value of a particular deposit is determined by a variety of factors, including the distance from the production line, the ore content in the rock, and the volume of the deposit. The paper shows that the development of a specified field management can be implemented based on solving linear programming problems. The hierarchy contains three levels: the system purpose; the factors influencing the deposit appeal (the metal content, the deposit volume, and transport accessibility); alternatives (deposits of raw materials directly). Let's assume that it is necessary to find the maximum efficiency by means of an ore mixture from the given deposits. Resource restrictions are imposed on the task: the work and machine time fund, the amount of first type reagent, and the amount of second type reagent. The composition of the constraint vector can be set depending on the value of the resources. The study found that the optimal plan is implemented under the complete resource utilization both of the first and the second types and a fifty-three percent level of the third resource utilization. Despite the low integral assessment of the raw material value of the fourth deposit, which is mainly determined by the low ore content in the rock, with respect to other deposits, its maximum utilization is also recommended, which in turn, is determined by the low resource intensity of ore extraction from this rock.

Methods to increase the efficiency of logistics processes

The purchasing process is considered one of the important functional areas in logistics, aimed at managing the movement of material flows in the enterprise. Each enterprise plans purchases, as well as their implementation, but they are not always given enough attention, which leads to both the irrational use of materials and increased costs for the purchase of raw materials. Therefore, systematic analysis of supply procedures and monitoring of this type of activity is desirable. Approaches to assessing the performance of enterprise procurement aimed at reducing costs and ensuring financial stability are relevant. To increase the efficiency of supply chain work, it is recommended to use research methodology: with a well-organized procurement process, we can talk about increasing the profitability and profitability of the company. Among the methods used to organize supply, the principles of ensuring continuity of supply are considered, which indicate the need to study this issue. The authors come to the conclusion that using the example of company “A”, methods are analyzed that make it possible to regulate the supply of goods, depending on the calculation of demand.

Operation of Chinese Enterprises Using Smart Manufacturing: Basis for Strategic Plan

Focusing on Chinese companies, this study examined their operations in smart manufacturing and provided key information for strategic planning. Investigating the position of Chinese companies in the smart manufacturing market through an online and offline questionnaire survey, the study found that companies became increasingly competitive. The adoption of smart manufacturing technologies had a profound impact on companies' market positions, driving them to better adapt to market demands. The study looked at the impact of smart manufacturing on productivity. By adopting technologies such as automation, big data analytics, and real-time monitoring, Chinese companies optimized their production processes, improved productivity, and reduced production costs. The findings suggested that smart manufacturing played a key role in stimulating innovation. By introducing advanced technologies and digital solutions, companies not only improved their products and services but also accelerated the introduction of new products. The study examined the Chinese government's policies and support measures for smart manufacturing. Government support was identified as one of the key factors driving firms' adoption of smart manufacturing, covering a wide range of aspects such as financial incentives, industry standards, and technology development. In terms of sustainable development, the adoption of smart manufacturing positively impacted resource efficiency, waste reduction, and environmental impact. Chinese companies sought to achieve economic growth while focusing on sustainability and environmental protection. Taken together, this study provided a comprehensive summary covering key areas such as market position, competitive environment, productivity, innovation, government policies and support, and sustainability of Chinese companies in smart manufacturing. This provided foundational information for companies to develop relevant strategic plans. After the research period, the conclusion about the operational strategic planning of Chinese enterprises utilizing smart manufacturing from 2024 to 2033 is drawn: Chinese smart manufacturing enterprises should strengthen competitiveness, improve productivity, innovate continuously, make full use of government policy support, and achieve sustainable development during the period of 2024-2033 in order to cope with the changing market environment and challenges and achieve long-term stable growth. Keywords: Chinese Companies, Smart Manufacturing, Operations, Strategic Planning, Market, Competition

Succession Planning and Sustainability of Small and Medium Enterprises: The Moderating and Mediating Role of Transformational Leadership and Career Development

This study explores how succession planning (SP) impacts the sustainability of manufacturing small and medium-sized enterprises (SMEs) in Ghana, with a focus on the moderating role of transformational leadership (TL) and the mediating role of career development (CD). A survey of 500 employees from 200 registered manufacturing SMEs was conducted using a cross-sectional design and quantitative approach to gather data. Structural equation modeling analyzed the data and tested the hypotheses. Findings show that SP significantly predicts CD and SME sustainability. TL directly enhances SME sustainability and moderates the SP- SME sustainability relationship. CD directly enhances SME sustainability and mediates the SP- SME sustainability relationship. These results contribute to the existing literature by demonstrating how SP, TL, and CD interact within manufacturing SMEs. The study extends existing frameworks by providing valuable insights into SME sustenance. Future research can further investigate these interactions in different contexts to validate and extend the findings.

Changes in recruitment plans of Polish enterprises caused by the outbreak of war in Ukraine

AbstractThe aim of the article is to identify the influence of the first months of Russian aggression against Ukraine on the recruitment plans of enterprises in the country receiving refugees, as exemplified by the Polish case study. Quantitative research was conducted among 500 Polish enterprises. Based on monthly measurements, before and after the outbreak of war in Ukraine, information was received from enterprises on their plans related to recruitment, including Ukrainian workers. Additionally, secondary data available from public databases was analysed. Clustering methods were used to analyse the dynamics and structure of the data gathered from the enterprises. Correspondence analysis was implemented to visualize the relationship between the structure of enterprises and recruitment decisions. The war in Ukraine influenced a deterioration of operating conditions for Polish companies. Regardless of the barriers faced by the companies, in April 2022, all enterprises willing to increase employment were thinking of hiring refugees from Ukraine. Such targeted demand from employers created the conditions for the rapid labour activation of refugees.

AUTHORITY OF LOCAL GOVERNMENT BODIES TO ENSURE THE ECONOMIC SECURITY OF THE COMMUNITY

The content of the scientific article corresponds to its title and consists in determining the powers of local self-government bodies to ensure the economic security of the community. It was emphasized that an important aspect of the effective provision of the economic security of Ukraine is an optimally constructed and functioning system of public administration bodies, whose activities, among other things, should ensure the economic security of the state, ensuring proper control of the implementation of the relevant policy. Subordination to political power, enforcement and application of laws are essential features of such a subject of public administration as local self-government bodies; activity in the public interest, the presence of the prerogative of public authority. The powers of local self-government bodies to ensure economic security include: obtaining from enterprises the necessary information about draft plans, mandatory coordination of enterprise plans; submitting proposals to projects on issues related to meeting the needs of the population; preparation of proposals for the privatization of municipal enterprises; receiving payment for land use; establishing cooperation with managers of enterprises of all forms of ownership in the direction of improving the state of development of the economic sphere of the region, analyzing and forecasting the development of the economic potential of the territory; development and implementation of models for the recovery of the local economy, entrepreneurship, diversification of production, etc. In order to improve the activities of military administrations in the field of ensuring economic security, along with the competences for ensuring national security, we suggest: streamlining the provisions of the legislation regarding their powers to make decisions on banning the trade in weapons, potent chemical and poisonous substances, alcoholic beverages and substances produced on an alcohol basis; to attribute to the competence of regional and district military administrations the authority to assist the activities of judicial and law enforcement bodies, bodies of the bar; carrying out joint analysis and holding meetings with the prosecutor’s office and other law enforcement agencies on security issues, in particular in the economic sphere in the relevant territory; participation in the preparation, approval and organization of the implementation of relevant regional and local programs. It is substantiated that the introduction of appropriate changes to the legislation will make it possible to standardize the principles and methods of activity of local self-government bodies and military administrations, to reflect the issues of responsibility and guarantees of legal status and, among other things, to formulate powers in the field of ensuring economic security.

Application of ANN in Tourism Business Development for Demand Forecasting and Management of Tourism Headcount

With the rapid development of tourism, it is imperative to forecast tourism demand to maintain the long-term stable development of the tourism industry and make good planning for future tourism enterprises. The study uses the classical model of artificial neural network-BP neural network for tourism number demand prediction, given the problems of traditional BP neural networks, such as prematurity and poor convergence speed, this paper studies the iterative optimization of the algorithm of particle swarm fusion immune mechanism and finds out the optimal network parameters, to build an IAPSO-BP tourism demand prediction model. Tourist amounts from 2007 to 2017 in certain area-related data samples, the training model of iterative speed and fitting effect, and the rolling forecasting method will be used to predict the 2018-2022 years of travel. It can be seen from the convergence curve that the convergence speed of parameter optimization of the IAPSO algorithm is the fastest; the improvedIAPSO-BP network has the best training fitting effect, with a relative average error of 2.03% and an absolute average error of 4.37%, which is better than other forecasting methods. The IAPSO-BP prediction model has higher accuracy and better performance, which can provide an effective basis for the development planning of tourism enterprises and has higher practical application value.

Analysis on tax management and risk control of enterprise management decision

In today's complex and changeable business environment, enterprises are faced with many business decision-making problems. As an important part of enterprise management, tax plays a key role in enterprise management decision-making. Tax management involves tax planning, tax compliance and tax risk management of enterprises, which directly affects the operating results and profits of enterprises. At the same time, risk control is a factor that can not be ignored in business decision-making, and enterprises must make a balance between risk and return. Therefore, it is of great significance to study the relationship between tax management and risk control for improving the effect of enterprise management decision.

Need Assessment for Coastal Tourism Area in the Face of Tsunami Risk: The Case of Pangandaran

As the fourth world's longest coastline, coastal tourism has become a significant component of Indonesia’s economy. Approximately 57% of this coastline is prone to the deadliest coastal hazard, i.e., tsunami. The progressive development of the tourism industry has created a massive increase in built infrastructure, hotels, roads, electrical and water distribution systems, and an increased number of people, including tourists and tourism workers, in rural coastal tourism areas. Due to the tsunami threat, rural coastal tourism regions' economic and social development faces enormous potential losses in lives and infrastructure and disruption of economic activity, especially for small and medium business enterprises. However, this coastal tourism industry has failed to engage in proper disaster risk reduction strategy and tourism business resilient building in most tourist destination regions in Indonesia. To address these complex problems, this study explores the adaptation of the concept of Business Continuity Plan of a single enterprise to upscale to an area or zone, i.e., the Area Business Continuity Planning, to enhance the holistic disaster-resilient tourism industry in Indonesia, with Pangandaran as the study location. As a newly formed regency, Pangadaran is an emerging super-destination tourism area designated by national and provincial governments. This region experienced a devastating tsunami in 2006, and even today, its coastal communities live under the threat of tsunamis that South Java Megathrust can generate. Based on an in-depth and holistic study, this study finds the Pangandaran coastal tourism resilience level, recognizing critical stakeholders and identifying the collaborative BCP strategies in Pangandaran.

MARKETING MANAGEMENT OF AGRICULTURAL BUSINESS: CHALLENGES OF DIGITALIZATION

The article analyzes the impact of digitalization processes on the agricultural sector and the challenges faced by enterprises in this industry. The author analyzes the impact of external and internal environmental factors on the development of agricultural businesses and the problems that delay the development of digital technologies in agriculture. It is noted that an important element of marketing management is a systematic approach that allows establishing relationships between these factors, assessing their impact and formulating marketing management strategies. Based on the results of the study, the author substantiates the need to create favorable conditions for the introduction of digital tools in the marketing management of agricultural businesses. The results of the analysis also indicate the potential of using innovative marketing methods, such as analyzing market trends and using digital communication channels, to overcome the challenges of digitalization and increase the competitiveness of the agricultural sector. The prospects for the development of digitalization processes in the marketing management of agricultural enterprises are considered. It is noted that through systematic market analysis, budget management, and the use of digital technologies and communication channels, enterprises can skillfully navigate market fluctuations while optimizing operational resources. The study provides the conclusions necessary for the further development of marketing management strategies in agriculture, taking into account the current challenges of digitalization and the needs of agricultural businesses in Ukraine. It is stated that the prospects for the development of digitalization processes in agrarian business emphasize the importance of integrating marketing management into the strategic planning of agricultural enterprises and its potential to increase the efficiency of innovation in this sector.

New marketing strategy model of E-commerce enterprises in the era of digital economy

With the continuous development of technology, traditional marketing methods no longer meet the needs of the main forces of social consumption, and people urgently need more innovative and personalized marketing strategies. E-commerce companies must develop a comprehensive customer-oriented marketing strategy based on big data and multi-channel to achieve their long-term healthy development. This paper first investigated the impact of the digital economy on e-commerce enterprises, focused on the transformation of the digital economy on the marketing model, expounded the development analysis of e-commerce in the digital economy era, and described the development trend of e-commerce marketing in the digital economy era. Then, this paper expounded the current problems faced by e-commerce enterprises, and discussed the lack of integrity, homogeneity, large-scale marketing strategies, and the lack of analysis and application of big data. After that, this paper put forward the marketing strategy of e-commerce enterprises in the digital economy era, and studied it from three aspects, namely, building a reasonable product management structure, marketing strategy based on customized marketing content, and social media marketing strategy based on information sharing. Then this paper proposed to use genetic algorithm to strengthen the marketing strategy of e-commerce enterprises. Finally, based on experiments and surveys, this paper used genetic algorithms to strengthen the construction of e-commerce enterprise marketing strategy in the digital economy, and concluded that the new e-commerce enterprise marketing strategy was 21% more satisfactory than the traditional new e-commerce enterprise marketing strategy. Through comparison, it can see that the integrity of the marketing plan of the new e-commerce enterprise's marketing strategy was 0.33 higher than that of the traditional e-commerce enterprise's marketing strategy, and the integrity of the promotion strategy was 0.34 higher than that of the traditional e-commerce enterprise's marketing strategy. After using the new e-commerce enterprise marketing strategy, the improved management structure was 0.29 higher than that of the traditional monitoring system, and the high quality of products was 0.18 higher than that of the traditional system.

State support for agriculture in Kazakhstan for the medium term

The goal is to analyze budget revenues and expenses for a three-year period based on state support for agriculture. Methods – based on comparative analysis, the estimated indicators of agricultural production and volume of financing are considered. Results – the main parameters of the draft republican budget for 2024-2026 were studied in connection with the calculated indicators of the Forecast of socio-economic development of Kazakhstan for 2024-2028, as well as the budget volume for 2024-2025 and the concept of the Ministry of Finance of the Republic of Kazakhstan until 2030. Issues related to the formation of the draft republican budget according to the basic scenario for the development of the country's economy are presented. In the context of main budget functional groups, the size, structure and main directions of financing expenditures of the republican budget are shown in comparative form. Conclusions – the main budget programs for financing agricultural sector are outlined in detail. It is noted that their budgeting has been significantly reduced for projects such as “Stabilization and improvement of the environment” and “Effective water resources management”. As for budget lending, its volumes are increasing significantly compared to previous years, which can be positively assessed as an increase in financial support from the state. However, if industry lending data is compared with a three-year forecast, the amount of industry funding is declining. A decrease in value of budget financing and loans from budget for agricultural production in the medium term will not contribute to increasing their volumes. An important document for planning (budgeting) of agricultural enterprises is a business plan, which generates information about the capacity of market segments and their market shares; characteristics of competitors and consumers are presented, forecast estimates for sales volumes are compiled for several years in advance.

SMART LOGISTICS SOLUTIONS FOR REDUCING FOOD WASTE: A CASE OF D NIPAH CATERING

The food and beverage (F&B) business is faced with a huge challenge in the form of food waste, which has a negative impact on profitability, sustainability, and environmental conservation. In recent years, smart logistical solutions have emerged as a potentially successful strategy for addressing the critical problem of food waste in the F&B industry. This article presents an overview of the application of smart logistics in the context of reducing food waste. The paper has a specific focus on the integration of technologies related to the Internet of Things (IoT) and production planning strategies. It investigated the concept of smart logistics and its benefits to improve decision-making, enhance visibility, and optimise the procedures involved in supply chain management. The study also underlined the role played by IoT in providing real-time monitoring, data collecting, and analysis, all of which can help in identifying and reducing concerns related to food waste. Qualitative methodologies involving the 5-whys analysis were used in this study to identify the root cause of the problem. Additionally, the present study highlights the significance of efficient production planning in reducing the amount of goods that are produced in excess, improving inventory management, and ensuring that production is in line with consumer demand. The findings also highlight the significance of combining the IoT technology and production planning in small and medium-sized enterprises (SMEs) to improve the efficiency and efficacy of their efforts to reduce food waste.

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.