Operation Of Enterprises Research Articles

THE NUCLEAR WEAPONS COMPLEX IN URAL HISTORIOGRAPHY

The article deals with the results and achievements of Ural scientists in studying the nuclear industry history. Public interest in detailed, scientifically based coverage of the construction, development and operation of enterprises in the nuclear weapons complex has always existed, but the development of this initiative was hampered by the special secrecy of archival materials on the activities of all enterprises and organizations related to the development and serial production of nuclear charges and ammunition. Only the socio-ideological changes caused by perestroika led to the declassification of archival funds, making them available for research. This situation has led to an increase in the number of publications on the nuclear project topic, including publications of Ural scientists.

Development of a fixed asset management system in the context of restructuring of industrial enterprises' production activities

Subject. This article discusses the issues of formation of a fixed assets management system for an industrial enterprise in the context of restructuring its production activities. Objectives. The article aims to develop a system of management of fixed assets of an industrial enterprise, formed on the principle of grouping of operated means of labor, taking into account the functionality of their use. Results. The article proposes an author-developed system for managing fixed assets in operation in the context of restructuring production activities at an industrial enterprise, as well as a programme for restructuring production activities. Conclusions. In the context of the transformation of economic relations, one of the important ways to carry out the effective operation of an industrial enterprise is the restructuring of its activities.

Research on the effect of corporate rumor clarification based on text analysis

ABSTRACT With the development and popularization of the Internet, rumors have spread increasingly faster. To eliminate the harm of rumors to the production and operation of enterprises, enterprises usually issue rumor clarification announcements to kill or dispel rumor spreading. This study examines the effectiveness of corporate clarification announcements by analyzing the nature of rumors and the text of rumor clarification announcements. Using a sample of 440 Chinese listed companies’ announcements over the period 2019–2022, the research results show that ① the nature of the rumor has a significant impact on the effectiveness of the rumor clarification; ② The strength and text length of rumor clarification have no effect on the clarification effect; ③ Rumor clarification attitude has a significant positive impact on the clarification effect, but the data explanation in announcements have a negative influence. The results of this study should be considered a positive finding with strong theoretical and managerial implications for rumors and their governance.

Evaluation of the SCOR Model Research

With the rapid development of logistics in China, the supply chain process operation of enterprises is more and more valued by enterprises, how to improve efficiency and maximize the benefits of enterprises at the same time of cost reduction is the core concern of enterprises. In supply chain operation and management, the supply chain operation reference model, or SCOR model, is a very important tool. This paper provides a brief description of the current status and model introduction of the SCOR model, as well as the SCOR-DS model, which is proposed to be improved based on the SCOR model at the end of 2022, for the reference of model users.

Unleashing the Potential: Compliance Standards Using Cloud Computing

Cloud computing, characterized as remote computing and server infrastructure located at a distinct physical site, accessible via an internet connection and a computer, revolutionizes enterprise operations. It provides a set of servers offering high functionality, performance, compute power, and extensive storage at a cost-effective rate. In situations where organizations require computing resources and storage for customer data but face financial constraints, cloud computing acts as a flexible and scalable solution. Operating on a pay-as-you-go basis, cloud services facilitate the initiation and growth of businesses. Established cloud service providers offer trusted platforms with solutions designed to enhance transparency, service reliability, and the security of customer data. This paper presents an in-depth exploration of the foundational aspects of cloud security. It covers various types of cloud services, the shared responsibility model, and the security risks inherent in cloud computing. Additionally, the paper outlines best practices for securing cloud deployments, aiming to provide a comprehensive understanding of cloud security fundamentals. The discussion underscores the significance of cloud security in any deployment scenario. By grasping the essentials and adhering to recommended practices, organizations can effectively mitigate the risks associated with cloud computing, safeguarding their data and systems. The insights presented in this paper contribute to the ongoing development and adoption of this evolving technology, benefiting both academia and industry [1].

Assessment of the epidemiological health risk of foundry contamination of small town soils

Introduction. The paper presents the results of the assessment of the risk to public health and the level of soil contamination with heavy metals and arsenic in a small town with a foundry.
 Materials and methods. The objects of the study are the morbidity of the population of the Melenkovsky district of the Vladimir region and the soil cover of the city of Melenki. The assessment of the probable risk of morbidity is based on the determination of epidemiological risk indicators, the obtained values of which were converted into values normalized by the marginal error of the background level (Δ). Soil samples were taken in the zone of industrial enterprises, highways, residential private sector, landscape, and recreational areas. The soil cover was examined by X-ray fluorescence method for the evaluationof the content of heavy metals and arsenic.
 Results. The study conducted to assess the probable risk allowed establishing in the Melenkovsky district, relative to the background regional values, children to have a very high risk for nine classes of diseases, adults to have a very high risk for 6 classes of diseases. There has been established the contamination of the soil of the city of Melenka with heavy metals and arsenic to be probably due to the specifics and duration of operation of the oldest enterprise in the city ‒ the foundry and mechanical plant. In the central part of the city, there have been identified local areas posing high health risks, which determines the need to manage permanent environmental and hygienic monitoring here. The greatest danger to public health is arsenic, whose concentrations in almost all sampling points exceed sanitary and hygienic standards.
 The limitations of the study are related to one-time sampling and a small number of reference sites, which limits the possibilities of a broader interpretation of the data obtained.
 Conclusion. It has been established that a city enterprise operating for a long time, due to soil contamination of the adjacent territory, can bear high risks to public health even during prolonged downtime or termination of its main activity. The chemical contamination of the soil in the territory adjacent to the foundry and mechanical plant, which is extremely dangerous in terms of the total indicator, requires special environmental measures to remove and further neutralize chemical elements. To reduce soil pollution in the city, there are required modernization of industrial enterprises and the creation of expanded sanitary protection zones around them.

Transformation and development strategy of digital publishing marketing based on big data and fuzzy control algorithm

Digital publishing is the process of informatizing the content of traditional publishing. It not only involves the processing of information, but also includes the whole process of digital publishing enterprise management and operation. Compared with traditional publishing, digital publishing has a wider distribution channel with the advantages of more diverse forms and marketing aspects, the transition from traditional digital publishing to digital publishing has become an inevitable trend. But there are still many problems in digital publishing in our country. Including the transformation of digital copyright awareness and maintenance of digital copyright, the source and maintenance of digital publishing technology, and the scarcity of compound talent resources. In order to solve these problems, we must combine the digital publishing industry with modern information technology. This paper builds a digital market preference prediction model based on big data and fuzzy control algorithms. By analyzing and predicting each consumer’s usage information, the digital consumer market preference is obtained. This research uses big data and fuzzy control algorithms to build a consumer market preference estimation model for digital publishing transformation. Through the observation of the consumer market, it can promote digital companies to make effective decisions and conduct reasonable organizational analysis, which can further improve The development process of digital publishing transformation promotes the overall development of the enterprise. Through verification, this model has high accuracy and reliability, can support the operation of actual enterprises, and plays an important role in the development of enterprises. Finally, based on the content of the article research, we put forward the following suggestions for the transformation and development of digital enterprises (1) conduct market analysis through big data and fuzzy control technology, and clarify market positioning (2) promote traditional publishing and digital publishing through big data and fuzzy control technology Integrated Development of Publishing (3) Cultivate Excellent Composite Talents for Digital Publishing Transformation.

Investigation of the impact mechanism of humble leadership on employee silence

BACKGROUND: “Silence” is a common phenomenon in the operation of enterprises, where some instances of silence can uphold organizational harmony, while other forms can exacerbate organizational issues, hindering intra-organizational information transfer and decision-making and affecting organizational innovation. OBJECTIVE: This study aims to explore the relationship between humble leadership style and employee silent behavior, verifying the mediating role of psychological contracts in this relationship. METHODS: Based on the social exchange theory, hypotheses are validated using descriptive statistical analysis, correlation analysis and the SEM structural equation modeling testing. RESULTS: The findings indicate a significant negative correlation between humble leadership and employee silence. Humble leadership significantly inversely predicts permissive and defensive dimensions of employee silence, while the correlation with the prosocial dimension is insignificant. Moreover, psychological contracts partially mediate the impact of humble leadership on permissive silence and defensive silence among employees. CONCLUSION: The study helps managers comprehend how humble leadership, characterized by the traditional Chinese “humility” culture, affects employee silence. Especially within Chinese enterprises, where employees are influenced by traditional Chinese thought and exhibit historical dependency on silent behavior, probing whether the humble leadership style can effectively encourage employees to provide constructive suggestions for organizational development is particularly meaningful.

Intelligent Extraction of Multi-style and Multi-template Title Block Information Based on Fuzzy Matching

ABSTRACT Title blocks are crucial primary data on drawings necessary for the operation of modern manufacturing enterprises. However, their uniform export poses a challenge due to the heterogeneity across multiple sources and the variety of export templates. Therefore, this paper proposes an intelligent extraction method for title block information (TBI) based on fuzzy matching. This method evaluates the geometrical composition of the title block, the logical relationship between information cells, and the diversification of the title block. It establishes a weighted intersection point matrix for the title block as the topological structure model. The fuzzy matching, based on the intersection matrix points, disregards the variations in the size and position of the title block and focuses only on the style that impacts the extraction of information. The matched title blocks are categorized, and the base table of each type determines the information distribution of the title block. A hash table is then created between the description cell and the value cell of information to accumulate the TBI. The method is integrated into the AutoCAD software and presented with an interactive program interface. Finally, an example is presented to further demonstrate the stability, reliability, and efficiency of the method and the system.

Effects of environmental awareness training and environmental commitment on firm's green innovation performance: Empirical insights from medical equipment suppliers.

In recent years, the intensification of global industrialization coupled with the enterprise's production and operating activities have caused pollution, increasing the current environmental pressure. Relevant government departments in China have instituted several stringent measures (environmental protection sensitization and awareness activities, training sessions, and exchange activities targeted towards enterprise managers) to address these rising environmental problems. Though these measures have gained traction over the years, there is a dearth of research on their effectiveness on the green innovation performance of enterprises. To bridge the gap, this research explores the effect of environmental awareness training, knowledge exchange activities, and commitment on green innovation performance with survey data from 285 medical equipment manufacturing companies in China. It further expands the theoretical application of environmental awareness training, commitment, and innovation performance from the lens of the Knowledge-Based View. The findings depict a positive relationship between environmental awareness training and innovation performance. It also finds a mediating influence of environmental commitment in the relationship between environmental awareness training and green innovation performance. Furthermore, environmental knowledge exchange activities positively moderate the relationship between environmental awareness training and environmental commitment. These findings offer valuable insights for the green development of medical equipment manufacturing enterprises and the government to formulate environmental protection policies.

The Adequacy of the Jordanian Regulations in Regulating the Operation of Small and Medium-Sized Enterprises

Small and medium-sized enterprises (SMEs) play a prominent role in the national economic growth and employment, provided they do not experience legal obstacles. This research aimed to investigate the adequacy of the current Jordanian legislation in promoting the operation of small and medium enterprises in Jordan and to identify its shortcomings, which may threaten their continuity. This study used a descriptive and analytical comparative legal approach to investigate global trends in small- and medium-sized company regulation, including the UN Commission on International Trade Law directives. The study also examined Jordanian legal frameworks, particularly those pertaining to companies and trade. The research discussed this issue in two sections. The main question was whether the laws regulating SMEs were adequate. The study concludes that although these projects can be partially covered by current legislation, their particularity and uniqueness necessitate the creation of special regulations that provide extra incentives and maintain their sustainability. As a result, the study suggests amending the Trade Registry System No. (130) of 1966 and the Jordanian Companies Law No. (22) of 1997, among other existing legal frameworks, and to dedicate special provisions that cater to the requirements for the success of these enterprises.

Enhancing the Efficiency of Enterprise Shutdowns for Environmental Protection: An Agent-Based Modeling Approach with High Spatial–Temporal Resolution Data

Top-down environmental policies aim to mitigate environmental risks but inevitably lead to economic losses due to the market entry or exit of enterprises. This study developed a universal dynamic agent-based supply chain model to achieve tradeoffs between environmental risk reduction and economic sustainability. The model was used to conduct high-resolution daily simulations of the dynamic shifts in enterprise operations and their cascading effects on supply chain networks. It includes production, consumption, and transportation agents, attributing economic features to supply chain components and capturing their interactions. It also accounts for adaptive responses to daily external shocks and replicates realistic firm behaviors. By coupling high spatial–temporal resolution firm-level data from 18 916 chemical enterprises, this study investigates the economic and environmental impacts of an environmental policy resulting in the closure of 1800 chemical enterprises over three years. The results revealed a significant economic loss of 25.8 billion USD, ranging from 23.8 billion to 31.8 billion USD. Notably, over 80% of this loss was attributed to supply chain propagation. Counterfactual analyses indicated that implementing a staggered shutdown strategy prevented 18.8% of supply chain losses, highlighting the importance of a gradual policy implementation to prevent abrupt supply chain disruptions. Furthermore, the study highlights the effectiveness of a multi-objective policy design in reducing economic losses (about 29%) and environmental risks (about 40%), substantially enhancing the efficiency of the environmental policy. The high-resolution simulations provide valuable insights for policy designers to formulate strategies with staggered implementation and multiple objectives to mitigate supply chain losses and environmental risks and ensure a sustainable future.

ENERGY EFFICIENCY MANAGEMENT STRATEGIES OF CONSTRUCTION ENTERPRISES: TYPES AND FEATURES

Purpose. The aim of the article is to systematize the modern types and features of energy efficiency management strategies of construction enterprises. Methodology of research. The method of systematization was used in research, which made it possible to classify the leading strategies of the specified category. The characteristics of the evaluated strategies were established with the help of the induction method, determined by the analysis of individual provisions of scientific works. Findings. Features of modern types of energy efficiency management strategies of construction enterprises are singled out and defined, including: strategies of intelligent energy efficiency management in the construction of office buildings, intersectoral network strategies of energy efficiency management, which include the participation of construction enterprises as structural participants, the strategy of standardization, certification and specifications of energy management of construction enterprises. The systematization of strategies of this type was carried out on the basis of the analysis of the provisions of scientific approaches of foreign authors and it was proved that their selected types are innovative, as they are based on modern models of interaction of participants, mechanisms that are acceptable for the current conditions of ICT development in the field of the construction sector. It has been established that the reference to the defined strategies can make it possible to improve the level of energy efficiency of construction enterprises and construction objects in the conditions of the development of a sustainable society and economy, aimed at the energy transition from fossil fuels and renewable energy, saving energy use. It was found that the implementation of strategies of the specified type has an effect both for socially responsible construction enterprises and for those that are focused only on compliance with existing norms and requirements. It is noted that the adaptation of the specified strategies to the conditions of operation of construction enterprises of Ukraine can be carried out given the fact that there are different positions of the business sector in this field. It was determined that the adoption of the trend of society and consumers regarding the choice of construction objects that have high energy saving indicators and involve the use of renewable energy is relevant for making decisions about the transition to energy efficiency of construction enterprises. Originality. The theoretical provision of types and features of modern energy efficiency management strategies of construction enterprises has gained further development. Practical value. The strategies identified in the study can be implemented in the conditions of Ukrainian construction enterprises, focused on achieving their own energy efficiency and energy efficiency of construction objects. Key words: energy efficiency, construction enterprises, CO2, construction objects, cross-sectoral network strategies, standardization, certification and specification of energy management, ICT, energy transition.

Structural, Institutional, and Spatial Factors of Operation of Enterprises in Novosibirsk Oblast

Structural, Institutional, and Spatial Factors of Operation of Enterprises in Novosibirsk Oblast

INNOVATIVE BUSINESS MODEL FOR FOOD INDUSTRY ENTERPRISES OPERATING IN CONDITIONS OF GLOBAL DESTRUCTIVE PROCESSES IN THE ECONOMY

This research presents the development of strategic management foundations and crisis management mechanisms within the entrepreneurial structures of the food industry, including methods for overcoming crisis phenomena and ways of adapting to changing market conditions. This involves examining the impact of economic crises on entrepreneurial activity and developing effective anti-crisis management strategies that contribute to the preservation and development of economic stability under new conditions, taking into account innovative approaches in the economy. The study aims to identify key elements that should be integrated into business models to enhance their resilience to external shocks and market environment changes. Special attention is given to analyzing the role of innovation, digital transformation, and social responsibility in forming sustainable and adaptive business strategies capable of withstanding the challenges of global economic instability. An important aspect is the examination of enterprise behavior in response to potential types of threats to its economic activity, the risk of which increases during economic crisis periods. The process of implementing effective crisis management methods for food industry enterprises, facilitating early detection and neutralization of potential risks, is considered as a key factor in maintaining operational flexibility and strategic adaptability. This provides enterprises with the necessary foundation for making timely decisions, preventing losses, and seizing new market opportunities, which in turn contributes to strengthening their competitive positions in the long-term perspective. The implementation of these methods forms the basis for constructing an innovative business model for the operation of food industry enterprises in conditions of global destructive processes in the economy, taking into account the identification of key elements that should be integrated into the business model to enhance the resilience of the economic activity of the aforementioned entities under these conditions.

Financial distress prediction based on ensemble feature selection and improved stacking algorithm

PurposeWhile the Chinese securities market is booming, the phenomenon of listed companies falling into financial distress is also emerging, which affects the operation and development of enterprises and also jeopardizes the interests of investors. Therefore, it is important to understand how to accurately and reasonably predict the financial distress of enterprises.Design/methodology/approachIn the present study, ensemble feature selection (EFS) and improved stacking were used for financial distress prediction (FDP). Mutual information, analysis of variance (ANOVA), random forest (RF), genetic algorithms, and recursive feature elimination (RFE) were chosen for EFS to select features. Since there may be missing information when feeding the results of the base learner directly into the meta-learner, the features with high importance were fed into the meta-learner together. A screening layer was added to select the meta-learner with better performance. Finally, Optima hyperparameters were used for parameter tuning by the learners.FindingsAn empirical study was conducted with a sample of A-share listed companies in China. The F1-score of the model constructed using the features screened by EFS reached 84.55%, representing an improvement of 4.37% compared to the original features. To verify the effectiveness of improved stacking, benchmark model comparison experiments were conducted. Compared to the original stacking model, the accuracy of the improved stacking model was improved by 0.44%, and the F1-score was improved by 0.51%. In addition, the improved stacking model had the highest area under the curve (AUC) value (0.905) among all the compared models.Originality/valueCompared to previous models, the proposed FDP model has better performance, thus bridging the research gap of feature selection. The present study provides new ideas for stacking improvement research and a reference for subsequent research in this field.

Exploration of Human Resource Management in Enterprise Business Management

Human resource management is an integral part of enterprise operation and management, contributing to the avoidance of financial risks, alleviation of performance problems, promotion of organizational development, enhancement of operational efficiency, and fostering sustainable enterprise development. Enterprise management should prioritize attention to human resource management by establishing an independent human resource management department and strategically planning human resource management tasks. This involves building an information management platform, developing a professional human resource management model to mitigate market risks, actively recruiting human resource management talents to form a competent team, and enhancing the human resource management and supervision system. These measures are essential for comprehensively improving the level of enterprise operation and management.

##Empowerment of BTPN Syariah ## Empowerment of BTPN Syariah customers in the development of Micro, Small and Medium Enterprises in Bogor Regency during the Industry 4.0 era

This research aims to develop the business of BTPN Syariah customers in Bogor district, West Java and to take part in the operation of Small, Micro and Medium Enterprises (MSMEs) in the industrial era 4.0. through a theoretical study approach. This study elaborates several findings from previous researchers as a reference and explores the grounded theory of BTPN Syariah customer development. A qualitative research method with a literature study is carried out to obtain a research reference model in explaining the factors that influence the performance of BTPN Syariah customers in developing their business, capital and strategy. This study also provides suggestions for the development of factors in performance measurement, and variables that affect the performance of MSME entrepreneurs. The results of the study provide recommendations that work skills, digital literacy and economic literacy as a reference in developing MSMEs in the Industrial 4.0 era. MSME training by Bestee friends from BTPN Syariah is a mandatory and routine program to improve customer welfare because it is a successful work program and an indicator of economic growth. But there are very few performance evaluation programs and ongoing development.

Trip Purpose Inference and Spatio-Temporal Characterization Based on Anonymized Trip Data: Empirical Study from Dockless Shared Bicycle Dataset in Xi’an, China

The rapid and widespread deployment and applications of the Internet of Things (IoT) and big data technology has generated massive personal travel data. Although most of the data are anonymized, they still provide possibilities for analyzing individual travel behavior. It is worthwhile to explore how to more accurately infer travel purposes based on trajectory data, smart card fare data, or shared bicycle data. In this paper, an improved research framework is proposed for travel purpose inference by applying the gravity model, Bayesian criterion, and spatial clustering method. The gravity model and Bayesian rule are used to calculate the probability of users traveling to nearby POIs (points of interest), and the clustering algorithm is used to identify the locations regularly visited by users. Through the identification of maximum probability POI and regular trips, different travel purposes represented by POI can be distinguished. The results showed that the identification of regular trips could verify and complement the recognition of trip purposes by POIs. Using Xi’an city of China as an example for the study, the results show that: 1) regular trips accounted for 32% of the week’s trips; 2) there are 10% of the trips reflect different trip purposes for the same POI; 3) it is also important to note that 70% of the users have a parking error of fewer than 100 m when going to the exact location. This distance can provide a reference for the study of bicycle commuting. Finally, we analyzed the spatial and temporal distribution characteristics of different trip purposes. The analysis of the spatial and temporal distribution can provide suggestions for the operation of bike-sharing enterprises and the management of regulators.

Financing and profitability of commercial enterprises in La Libertad, 2022

Financing is very important for the operation of commercial enterprises, its proper management through loans allows resources to be invested for the expansion of business; therefore, the resources obtained from different sources of financing must be managed properly with the intention to ensure a profitability of considered levels. The purpose of this article is to determine how financing affects the profitability of commercial enterprises in the canton of La Libertad, through the analysis of each of the indicators of the variables of study, therefore a descriptive research was used through the desegregation of variables, and situational analysis of the object of study, applying the techniques of interviews and direct observation, in addition correlational research was used to determine the critical factors associated with financing and profitability, through surveys of the companies that were part of the study. The results obtained show that the accounting that the companies are doing is empirical and not very technical, which has caused them to grow slowly compared to medium-sized companies of the same type, which through adequate financial management has favored their sustainable growth and decision making.