Operation Of Enterprises Research Articles

Power dynamics and social enterprises: A case study of an international NGO

AbstractHuman Resource Development (HRD) scholarship and practice include attention to social justice and human rights, which are critical in international workspaces, including social enterprises. HRD principles could help such organizations better foster intercultural collaboration and respect, while promoting both economic prosperity and social good. The purpose of this qualitative case study is to explore, through a critical national HRD lens, how HRD principles could enhance the operations of an international social enterprise, focused on skills development, capacity building, and empowerment for women entrepreneurs in Ghana. This study highlights the role HRD principles could play in addressing challenges the entrepreneurs faced and in enhancing economic and social development. We apply an integrated critical national HRD framework consisting of three components: (1) global awareness, (2) holistic, socially conscious economic development, and (3) the negotiated power and performance. We find that HRD practices, such as cross‐cultural training and development programs, could mitigate challenges entrepreneurs experienced due to cultural conflict based on language, mismatched expectations regarding production quality, and a lack of predictability or control over workload and compensation. Yet, the work of the nongovernmental organization (NGO) did support their financial independence and stability and work to consider the role of gender in the support women received. Attention to socially conscious economic development as viewed through the critical national HRD can support such organizations as they seek to address women's holistic needs. We offer recommendations for research, policy, and practice to help NGOs minimize sociocultural confusion, develop meaningful programming, and bridge the economic and social missions of the organization.

Supply Chain Management and Marketing Integration for Competitive Advantage

Purpose: To explore the effect of the integration of supply chain management and marketing on the competitive advantage of enterprises. Approach/Methodology/Design: The relationship between supply chain management and marketing, the importance of integration and strategy were expounded through theoretical analysis, and the actual cases of Apple and Amazon were analyzed. Findings: It is found that supply chain management and marketing are closely related and interact with each other, and integration can improve customer satisfaction, reduce costs, improve enterprise efficiency and enhance innovation ability. Cases such as Brazil Company show the positive effects of integration, but there are also cases where relevant advantages are not fully utilized. Practical Implications: TIt helps enterprises, government, academia and other parties to understand the importance and application of the integration of supply chain management and marketing in enhancing competitiveness and achieving sustainable development.. Originality/value: Put forward relevant theories and strategies for the integration of supply chain management and marketing, provide new ideas and methods for enterprise operation, and verify its effectiveness and practical significance through actual case analysis.

Evaluation of the Development Effectiveness of Intellectual Property Operation for Science and Technology-based Small and Medium-sized Enterprises: Based on the Research Data of Qinchuangyuan Innovation Driving Platform

Science and technology-based enterprises promote national economic growth and facilitate scientific and technological innovation. This study takes the development of Intellectual Property (IP) operation of science and technology-based enterprises as the research object and constructs a relevant evaluation index system. It also takes the data of 112 small and medium-sized science and technology-based enterprises within the Qinchuangyuan Innovation Driving Platform as an example, conducts statistical analysis and case analysis, and concludes development strategies. The results of the study provide policy suggestions for further strengthening and promoting the development of intellectual property operation by enhancing the efficiency of the IP operation system and policy services for small and medium-sized enterprises (SMEs) in science and technology, promoting the construction of supporting facilities and improving employee satisfaction; as well as simplifying the IP filing procedures, optimizing the financing environment, and establishing a platform for regular evaluation and information sharing to accelerate the transformation of IP; and at the same time, implementing a mechanism for efficient policy fulfillment and departmental linkages to enhance the implementation of the policies and form a high-quality business environment that will help SMEs in their development and technological innovation of SMEs.

An operational risk assessment method for petrochemical plants based on deep learning

The petrochemical industry is an important guarantee for the development of people’s lives, and the operational risk assessment method of personnel in the operation of petrochemical enterprises is the most important. Based on a deep learning algorithm, a new method based on the micro-Doppler effect and fuzzy analytic hierarchy process is proposed to evaluate the operational risk of personnel in petrochemical enterprises. The original monitoring image of petrochemical equipment is invoked, and micro-Doppler analysis is performed based on the original image to identify the activity target of the personnel on the job site and generate the activity map of the petrochemical plant operators. Based on the analysis data of the micro-Doppler effect, the fuzzy function and hierarchical analysis method are combined. The fuzzy theory is introduced into the analytic hierarchy process, and the inherent expert evaluation scores are transformed into fuzzy numbers. It makes the expert evaluation of petrochemical plants more accurate in the subsequent coupling and improves the objectivity of the traditional analytic hierarchy process. The scheme proposed in this paper can monitor real-time operation safety and provide a guarantee for the personal safety of field operators. This method plays an important role in improving the safety of petrochemical plants.

Analysis of Risk Management and Prevention Strategies in the International Operations of Enterprises

With the deepening of globalization, more and more enterprises are looking towards the international market in search of broader development space. However, international operations not only bring unprecedented opportunities but also accompany various risks. This article delves into the risks enterprises may encounter in international operations, including market, political, economic, exchange rate, legal, and cultural risks, and systematically analyzes the causes, manifestations, and impacts of these risks. Through specific case analyses, this article proposes a series of practical risk management and prevention strategies aimed at helping enterprises build a more robust international operation defense line, ensuring their steady progress in the complex and volatile international market.

Research on Collaborative Strategy of Supply Chain Management under the Background of NIKE Mass Customization

Abstract: With the continuous advancement of technology and the popularization of the Internet, consumers' demand for personalized products is increasingly high. Traditional production modes have been unable to meet consumers' demands for product uniqueness and personalized experiences, which requires manufacturing enterprises to shift towards mass customization modes with unique advantages in production efficiency and cost control. Taking Nike as an example, this paper analyzes its supply chain problems based on its financial report. It then explores Nike's mass customization process using C2M and 3D printing, as well as information collaboration methods in the supply chain. Additionally, the paper analyzes AR-based virtual fitting technology and evaluates Nike's internal matrix organizational structure for customization and collaboration. From the perspectives of Nike's technology level and internal organizational structure, this paper analyzes the supply chain management and information collaboration process in its mass customization process, aiming to provide references for related manufacturing industries in enterprise operation and technology application during the mass customization process.

Research on the Impact and Solution Strategies of Blockchain Technology on Data Security and Transparency in Enterprise Digital Transformation

Abstract: This research delves into the profound impact of blockchain technology on enhancing data security and transparency during enterprises digital transformation. By dissecting blockchains core attributesdecentralization, immutability, and advanced securitythis study elucidates how it offers pragmatic solutions to prevalent challenges such as data breaches and opaque information processing. Leveraging an extensive literature review, meticulous case analysis, and expert insights, the article comprehensively illustrates blockchains diverse applications in ensuring data integrity and enhancing transparency across critical sectors, including financial services, supply chain management, and healthcare. Furthermore, the study identifies and deliberates on existing research gaps in blockchain technologys application within digital transformation, proposing a systematic framework to deepen comprehension of its role in this process. Moreover, it conducts an in-depth analysis of the technical, operational, and environmental hurdles hindering blockchain adoption, offering a series of action strategies to enable enterprises to harness their potential effectively amidst the swiftly evolving digital landscape. Through this comprehensive inquiry, the article underscores the strategic significance of blockchain technology in augmenting corporate operational transparency and data security. Additionally, it elucidates how blockchain can bolster corporate governance, compliance, and stakeholder trust. Overall, this synthesis provides a thorough review and profound insights into research findings, underscoring blockchains pivotal role in addressing contemporary digital challenges while furnishing invaluable strategic guidance for industry innovation and advancement. The research outcomes hold substantial implications for practitioners and researchers, signaling the transformative potential of blockchain technology in reshaping enterprise operations and charting a course for future exploration in this pivotal domain.

CDO-TCN-BiGRU: An Optimized Hybrid Deep Learning Model for Shared Bicycles Demand Forecasting

<div>Accurate prediction of the demand for shared bicycles is not only conducive to the operation of relevant enterprises, but also conducive to improving the image of the city, facilitating people’s travel, and solving the balance between supply and demand of bicycles in the region. To precisely predict the demand of shared bicycles, a model combining temporal convolution network (TCN) and bidirectional gating recurrent unit (BiGRU) model is proposed, and the Chernobyl disaster optimizer (CDO) is used to optimize its hyperparameters. It has the ability of TCN to extract sequence features and gated recurrent unit (GRU) to mine time series data and combine the characteristics of CDO with fast convergence and high global search ability, so as to reduce the influence of model hyperparameters. This article selects the shared bicycles travel data in Washington, analyzes its multi-characteristics, and trains it as the input characteristics of the model. In the experiments, we performed comparison study and ablation study. The results show that the prediction error of the proposed model is less than other comparative models. Therefore, CDO-TCN-BiGRU model has the characteristics of high prediction precision and good stability.</div>

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.

The accountability system for operation and investment and audit quality of state-owned enterprises

Based on the accountability system for illegal operation and investment of state-owned enterprises (SOEs), this paper uses A-share listed companies in China from 2013 to 2021 as a research sample to empirically test the impact of operation and investment accountability on the audit quality of firms. The results show that after the implementation of the accountability system, the audit quality of SOEs is significantly improved, and the results hold after a series of robustness checks. Mechanism tests suggest that reducing misconducts of managers, inhibiting earnings management and improving the quality of internal control can explain the effects of operation and investment accountability. Heterogeneity analyses suggest that the positive effect of operation and investment accountability on the audit quality of SOEs is more pronounced for firms in poor business environment, with low level of digital transformation and low degree of mixed-ownership reform. Further tests on economic consequence suggest that operation and investment accountability increase economic value added of state-owned assets by improving the effectiveness of auditing supervision. This paper extends the stream of literature on SOEs' auditing from the perspective of accountability, and provides practical implications on improving the quality of government monitoring measures and promoting the update of governance capacity and governance system.

The Impact of Mergers and Acquisitions on Technological Innovation of Enterprises: Taking Apple as an Example

As market competition becomes increasingly fierce, in order to maintain a leading position in the industry, companies must enhance their core competitiveness to gain priority discourse power in the market. Corporate mergers and acquisitions are the act of acquiring property rights of other legal entities through certain economic means on the basis of equality, voluntariness, and equal compensation. They are a major form of capital operation and management for enterprises. This article aims to study the impact of mergers and acquisitions on technological innovation in enterprises, by analyzing the financial statements of enterprises and exploring the impact of mergers and acquisitions on their main business. Research has found that mergers and acquisitions are a business tool that can effectively enhance a company's technological level without increasing profits, while using less time cost. This provides a reference for enterprises to enhance their market competitiveness, differentiate their products, and adjust their business strategies.

Comparative analysis of the primary morbidity in the population in the territory of accumulated risk over the post-operation period of a chemical enterprise

Introduction. The long-term operation of the chemical enterprise has led to the formation of an area of accumulated harm to public health. The purpose of the study is to investigate the trend in newly identified morbidity in various population groups living in areas of accumulated chemical pollution of the environment. Materials and methods. The primary morbidity rate of the population of Usolye-Sibirskoye was assessed retrospectively according to official statistical reporting – during 1985–1995. and 2016–2022. Relative rates of incidence among children and adults (per 1000 population) were calculated. The trend in the incidence of malignant neoplasms was studied using regression analysis and growth (decrease) rates. Results. Over 2016–2022 there was a gain in the incidence in the population: in 0–14 years children by classes: certain conditions in the perinatal period, blood diseases, neoplasms; in 15–17 years adolescents: by class of disease of the circulatory system, blood, endocrine and genitourinary systems, congenital malformations, neoplasms; in the adult population by classes of diseases including congenital malformations, diseases of the endocrine system, circulatory system, musculoskeletal system and blood diseases, neoplasms. Limitations are due to changes in the structure of statistical reporting forms and various etiological factors for diseases included in one class of diseases. Conclusion. During the post-operation period of the city-forming enterprise, an increase in incidence in children and adults was revealed. Undoubtedly, the formation of pathology was influenced not only by the unfavourable environmental situation in the city, but also by socio-economic conditions. To optimize medical and preventive measures to improve and preserve public health, it is necessary to conduct further studies of the health status in the population in the area of accumulated chemical pollution.

The Significance and Practical Exploration of Financial Investment Management in Enterprise Operation and Management

Enterprises can carry out financial investment activity management, and through institutional control, risk prevention and other methods, ensure the stability of financial investment activities, enhance their own risk resistance ability, and provide support for the healthy and long-term development of enterprises. Based on this, this article briefly analyzes the significance and value of financial investment management in enterprise operation and management, elaborates on the current overview of enterprise financial investment management, and explores in depth the path of financial investment management in enterprise operation and management.

Adaptive Strategies and Sustainable Innovations of Chinese Contractors in the Belt and Road Initiative: A Social Network and Supply Chain Integration Perspective

As global economic integration and rapid technological advancements transform international business, international engineering contracting has become essential for achieving sustainable development goals (SDGs). This paper investigates the significant impact of China’s strategic initiatives, notably the “Going Global” strategy and the Belt and Road Initiative (BRI), on the operational practices of Chinese enterprises involved in overseas investments. Central to this transformation is the Engineering, Procurement, and Construction (EPC) model, which emphasizes the integration of supply chain management and stakeholder collaboration to enhance performance in international EPC projects and underscores the crucial role of these elements in promoting sustainability. Incorporating insights from social network data analysis, this study reveals that contractors collaborating with various stakeholders—such as owners/consulting engineers, domestic and foreign customs departments, and group headquarters/design parties—exhibit a high degree of similarity in personnel profiles. This suggests that the internal organizational structure and personnel allocation of contractors could be optimized to enhance operational efficiency, aligning with the collaborative patterns identified. This study addresses a critical research gap by exploring how effective supply chain management and collaborative stakeholder engagement within multinational EPC projects contribute to sustainable outcomes. Employing advanced social network analysis software, the research examines the complex interactions among stakeholders and their influence on procurement dynamics. Findings indicate that strong relational networks and strategic collaborations significantly enhance procurement efficiency and project success, underscoring the importance of supply chain integration. Ultimately, integrating supply chain management principles into the EPC model not only offers innovative perspectives for advancing sustainability in international projects but also provides actionable insights for improving project outcomes within the BRI framework. This research underscores the pivotal role of supply chain organization and stakeholder cooperation in achieving sustainability objectives, thereby enriching the discourse on sustainable enterprise operation and supply chain management in the context of global initiatives.

Factors affecting the growth of small and medium Enterprises in Luangnamtha Province

The purpose of this study is to study the operating conditions and factors affecting the growth of small and medium enterprises in LuangNamtha Province. which uses descriptive study methods, surveys, and questionnaires to collect data from small and medium-sized enterprise operators who have registered enterprises at the Department of Industry and Trade in LuangNamtha Province according to the law in the number of 233 business units using basic statistics such as average value and standard deviation and analyzed with an ordinary least squares regression model. The results of the study found that most of the business operators are males aged between 37-43 years old, have a high degree of specialization, and have previous experience in the service sector, which a business is owned by a single Lao person. The registered capital of the business is less 100,000,000 kip, it is a source of funds for the family, there are between 5-20 people, the duration of the business operation is less 5 years, the customer group is in the province, the business is mainly in the commercial sector, but the performance is not good compared to last year. Such as, revenue and net profit decreased. The importance of factors affecting the growth of small and medium-sized enterprises in LuangNamtha province is very important. The factors affecting the growth of enterprises include four factors that have a relationship in the same direction, such as leadership factors affecting the growth of enterprises with a statistical significance level of 0.1, strategic decision-making factors affecting the growth of enterprises with a statistical significance level of 0.05, financial factors affecting the growth and stability of enterprises with a statistical significance level of 0.01 and 0.1, respectively, and marketing factors affecting the stability of the enterprise with a statistical significance level of 0.1.

Strategic Research on Supporting High Quality Development of Enterprises Based on Digital Economy

In the context of the burgeoning digital economy, fostering high-quality enterprise development has emerged as a critical challenge across diverse industries. The pervasive adoption of digital technologies has fundamentally transformed enterprise operations, unveiling novel avenues for innovation and bolstering market competitiveness. Research indicates that the deep integration of digital technologies, the establishment of a data-driven innovation ecosystem, and the cultivation of digital talent are pivotal strategies for enterprises to attain sustainable and high-quality development. These strategies provide a robust foundation for enterprises to sustain a competitive edge in the digital era by streamlining internal management, amplifying innovation capacities, and accelerating market responsiveness. The findings suggest that, through the effective implementation of these strategies, enterprises can achieve enduring and high-quality development propelled by the digital economy.

Social entrepreneurship: an innovative tool for solving social problems in Ukraine

It is indicated that in the modern world, where social and environmental problems are becoming increasingly acute, social entrepreneurship appears as an innovative and effective tool for solving them. This phenomenon is at the intersection of business and charity, combining an entrepreneurial approach with a social mission. This article explores the phenomenon of social entrepreneurship as an innovative tool for addressing social and environmental challenges in the modern world. It examines the relevance of developing social entrepreneurship in the context of the UN’s global sustainable development goals and in conditions of limited state resources to meet growing social needs. The author analyzes the historical roots of social entrepreneurship, tracing its evolution from the 17th century to the present day. Special attention is given to the «Triple Bottom Line» concept (profit, people, planet), which underlies social entrepreneurship, and the ideas of Nobel laureate M. Yunus regarding «social business». The article discusses the key characteristics of social entrepreneurship that distinguish it from traditional business, and the principles of social enterprise operation. The author identifies three main models of social entrepreneurship: inclusive, social reinvestment, and innovative social model. Particular attention is paid to the legal aspect of social entrepreneurship in Ukraine, specifically the absence of a special organizational and legal form for such activities and the opportunities provided by current legislation. The author emphasizes the role of social entrepreneurship in the development of the economy and civil society, particularly in job creation, overcoming social isolation, and promoting civic participation. The categories of population for whom social entrepreneurship is especially relevant are considered. The conclusions highlight the potential of social entrepreneurship as a tool for achieving sustainable development and building a more inclusive society, as well as the need for further research in this field, especially in the context of post-COVID reality and the state of war in Ukraine.

On Digital Transformation Experience of the Order Fulfillment Process

The paper examines the process of order execution being won on a tender platform. Due to the short order fulfillment deadline, the work starts not at the moment of contract signing, but at the moment of winning the tender. This leads to additional risks of non-fulfillment of the order and the emergence of unfinished production. In the conditions of stock exchange prices in commodity markets, the process of the production cost determination becomes a more complex task, requiring daily cost reevaluation with the integration of heterogeneous information systems. Therefore, a transition from automation to digital transformation is required. The literature review on the issue of manufacturing enterprise digital transformation has been completed at work. The differences between the definitions of digitalization, automation and digital transformation are described. The most promising technologies for digital transformation are outlined. Based on the reviewed literature, the main problems of digital transformation, including managerial issues highlighted by the authors as the most important, are identified. The operations of several enterprises within one information space are described, indicating the information systems used. The process of creating an order on a tender platform for the examined manufacturing enterprise is detailed, as well as a detailed description of order creation. The issue of production cost determination in the conditions of order execution start prior to contract signing is discussed. The pressing issue of digital development of an industrial enterprise due to the transition to new information systems is presented. The problems of using current information systems in production are described. The market analysis of modern Russian, foreign, and open-source systems with a description of the issues of their application is provided. A method for unfinished product automation in a new order is proposed.

A Comparative Analysis of Independent Audit Sectors in Turkiye And Uzbekistan

The independent audit sector consists of independent auditing companies and professionals providing auditing services to businesses and organizations. The sector has a critical importance for developing countries to provide and sustain qualitative operations of enterprises and organizations. A strong independent audit sector helps to improve the operations of entire private sector and hence provides better integration to international markets In this context, due to the importance of the subject, a research on the audit sector is carried out in this study. The main axis of the study is the comparative analysis of the independent audit sectors in Uzbekistan and Türkiye. Since there is no other study comparing these two countries in terms of this sector, this paper tries to make a contribution to the related literature. The study’s central hypothesis is that Uzbekistan has a significant potential to catch international auditing standards. A comparative analysis is conducted for independent audit sector of two counties in order to test this hypothesis

Optimization of Enterprise Financial Risk Management and Crisis Early Warning System Supported by AI

The stability of the financial market plays a key role in the overall health of the economic system, and optimizing corporate financial risk management and crisis warning systems is of great significance. Traditional financial risk management methods often face challenges when processing large-scale, resulting in a decrease in the accuracy of risk assessment. This study combining gated recurrent units (GRU), temporal convolutional networks (TCN) and attention mechanisms. Leverage diverse data sets to improve the accuracy of financial risk assessments and the effectiveness of crisis warnings. Experimental results show that the algorithm outperforms the baseline model in terms of risk prediction accuracy, efficiency and stability. For example, on the LendingClub loan dataset, FLOPs are reduced by more than 46.8%, inference time is improved by more than 48.5%. This method provides new perspectives and solutions for optimizing corporate financial risk management and crisis warning systems. This will have a positive impact on the stable operation of enterprises and other aspects.