Core Competitiveness Of Enterprises Research Articles

Research on the optimization of financial management of financial enterprises

Financial management of financial enterprises is an important part of enterprise management, but also the embodiment of the core competitiveness of enterprises. With the development and application of artificial intelligence technology, the financial management of financial enterprises faces new opportunities and challenges, and it needs to adapt to the changes of the market environment and the diversification of customer needs. Taking Y company as an example, this paper discusses the application status, existing problems and improvement countermeasures of artificial intelligence technology in the financial management of financial enterprises, aiming to provide reference and reference for the financial management of financial enterprises.

Profit-driven fusion framework based on bagging and boosting classifiers for potential purchaser prediction

Accurately identifying potential purchasers (PPers) is pivotal for enhancing an enterprise's core competitiveness in a competitive market. Although existing research focused on individual classifiers for PPer prediction, there is a notable gap in the integration of the bagging and boosting algorithms, resulting in suboptimal performance. This study introduces a novel fusion framework for profit-oriented PPer prediction that combines the strengths of the bagging (specifically, random forest, RF) and boosting (utilizing categorical boosting, CatBoost) algorithms. CatBoost replaces the original base learner in RF, leveraging the advantages of both classifiers to reduce the variance and bias. To optimize the proposed RF-CatBoost-based fusion framework for profit maximization, we employ a grid search to fine-tune hyperparameters. This approach aligns with enterprises' profit-driven objectives. The experimental results, statistical tests, and Bayesian A/B tests collectively demonstrate that the proposed framework outperforms all comparative classifiers, yielding the highest profits. Furthermore, an interpretability analysis reveals the significant factors influencing the prediction results, providing valuable insights for decision makers in identifying PPers within customer groups.

Analysis of Financial Risks and Preventive Measures in The Process of Reverse Transnational Merger and Integration of Chinese Enterprises

Reverse transnational merger and acquisition is a kind of international operation mode in which enterprises in emerging markets merge or acquire enterprises in advanced countries, so as to obtain strategic resources. This is also a "springboard" for enterprises in emerging economies to obtain foreign resources and quickly move to the international market. The Chinese government plays an important role in cross-border mergers and acquisitions, and the integration process is becoming more difficult and the merger is becoming more likely to fail. In addition, Chinese enterprises show new characteristics in many aspects, such as the object of merger and acquisition, the object of merger and acquisition, the industry and the way of merger and acquisition. Through cross-border mergers and acquisitions, enterprises can expand overseas markets, achieve transformation and upgrading, and improve the core competitiveness of enterprises. Based on the case of Geely Auto's acquisition of Volvo, this paper analyzes various financial risks it faces in overseas mergers and acquisitions, and puts forward corresponding countermeasures for Chinese enterprises to prevent and guard against financial risks in overseas mergers and acquisitions and promote the smooth progress of mergers and acquisitions.

Exploration on the Transformation of Retail Finance Marketing from “Sitting Business” to “Traveling Business” in Commercial Banks —Take the “Pop-up Shop” Model of C Bank Pedestrian Street as an Example

“Sitting business” and “traveling business” are two commonly used modes in marketing practice. “Sitting business” refers to waiting for customers to come to the door, is a kind of signboard and business name to attract customers of the marketing model, such as the commercial street store model, its business characteristics and competitiveness are mainly reflected in the attractiveness of products and the quality of service in the hall. “Merchant” refers to proactive marketing customers, and now refers more to product promotion and branding based on planning and packaging, as well as marketing personnel to communicate and interact with customers outside the business premises to expand product influence and market share. It is generally believed that sitting merchants are a conventional, traditional and inefficient marketing model compared to merchants. In the operation of modern enterprises, due to the increasingly fierce market competition, the transformation from “sitting business” to “traveling business” has become the consensus of business managers, and the awareness and ability of business are gradually becoming the core competitiveness of modern enterprise marketing.The operation mode of traditional bank branches is more of a passive waiting for customers to come to the door and accept the business needs of customers, reflecting the concept of “sitting in business”. With the sudden rise of Internet finance, which has had a huge impact on traditional banking business, the banking industry has realized that there may be a “last mile” shortcoming in physical outlets in financial services, and narrowing the distance between bank outlets and customers is more about “going out”, such as developing community banks, carrying out door-to-door marketing, expanding business districts, etc., mining customer needs outside bank outlets, building “scenario-based” finance, and constantly trying to change the business model from “sitting business” to “ traveling business”.

Problems and Countermeasures of Performance Appraisal in Enterprise Human Resource Management

With the rapid advancement of science in society, driven by the highly updated enterprise technology system, human resource management plays an increasingly important role in the production and operation activities of enterprises, and has become an important factor determining the core competitiveness of enterprises. Therefore, exploring the performance appraisal management of enterprises in human resource management is of great significance for further improving the competitiveness of enterprises and making better use of the advantages of human resources. Based on the theory of performance appraisal management in human resources and taking Xu Fu Ji Food Company as an example, this paper points out the current status and existing problems of the enterprise, such as unclear assessment purpose, neglect of the overall performance management of the enterprise, lack of performance appraisal training and summary links, and puts forward the advantages of clarifying the purpose of performance management, attaching importance to the overall team assessment, and increasing the intensity of performance appraisal training and summary Make suggestions.

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

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

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

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

Enterprise technological innovation capability evaluation using a spherical fuzzy number based CSM-EDAS model

With the rapid development of science and technology, the flow of information has become more convenient, and society has entered the era of knowledge economy. In this era, technological innovation capability is becoming increasingly important and has become an important weapon for enterprises to survive in fierce competition, especially for technology-based small and medium-sized enterprises. Nowadays, technology-based small and medium-sized enterprises have developed many technological innovation achievements through continuous technological innovation, and have created a large number of high-tech products and services. Technological innovation has been proven to effectively improve the core competitiveness and economic benefits of technology-based small and medium-sized enterprises. Therefore, evaluating the technological innovation capabilities of technology-based small and medium-sized enterprises has both theoretical and practical significance. The enterprise technological innovation capability evaluation from a low carbon perspective could be deemed as the multiple attribute group decision making (MAGDM) problem. Recently, the evaluation based on distance from average solution (EDAS) technique and cosine similarity measure (CSM) technique has been employed to manage MAGDM issues. The spherical fuzzy sets (SFSs) are used as an efficient tool for portraying uncertain information during the enterprise technological innovation capability evaluation from a low carbon perspective. In this paper, the spherical fuzzy number EDAS based on the CSM (SFN-CSM-EDAS) technique is cultivated to manage the MAGDM under SFSs. Finally, a numerical study for enterprise technological innovation capability evaluation from a low carbon perspective is supplied to validate the proposed technique. The main contributions of this paper are outlined: (1) the EDAS and CSM technique was extended to SFSs; (2) the CRITIC technique is used to derive weight based on CSM technique under SFSs. (3) the SFN-CSM-EDAS technique is founded to manage the MAGDM under SFSs; (4) a numerical case study for enterprise technological innovation capability evaluation from a low carbon perspective and some comparative analysis is supplied to validate the SFN-CSM-EDAS technique.

Study on Business Administration Problems and Countermeasures of Rural Enterprises in the Context of Rural Revitalization

The general requirements of the rural revitalization strategy pay more attention to the overall development of rural areas and have richer connotations. Industrial prosperity means promoting industrial development, attracting a large amount of capital, advanced technology and talents into the countryside, promoting the industrial development of the countryside by mobilizing the production enthusiasm and creativity of farmers, forming a vibrant rural industrial system, and realizing the modernization of the countryside and the modernization of agriculture. In the context of rural revitalization, business administration innovation in rural enterprises has become an important way to enhance the comprehensive strength and core competitiveness of enterprises. However, enterprise business administration innovation also faces a series of problems and challenges, such as the lack of innovative elements in enterprise culture, imperfect talent training mechanism, high cost of technological innovation, and insufficient sense of win-win cooperation among enterprises.

Discussion on the Current Application of Artificial Intelligence in the Digital Economy

In the era of the digital economy, data, algorithms, and computing capabilities constitute vital elements that drive economic development. The three elements of artificial intelligence are -computing power, algorithm, and data. As for the difference and progress, machines imitate and enhance human physical strength, but artificial intelligence imitates and improves human intelligence. This work first mentions the status quo of how artificial intelligence boosts the digital economy. Then, it comes to several aspects of artificial intelligence’s development, prospect, and application. Eventually, this paper mentioned how to apply artificial intelligence technology to various industries to form new industries, thus promoting the development of the digital economy.In conclusion, digital technology promotes the comprehensive efficiency upgrade of various national economy departments. Its formation is that the digital economy improves the efficiency of various departments through digital technology. Efficiency upgrade means cost reduction, relative competitive advantage in the industry, adjustment and transformation of the original industrial structure and product structure, and the use of digital technology for existing products and technologies to reduce the production costs of manufacturing enterprises and achieve product upgrades. Improvements in quality, structural changes, and management efficiency have improved the core competitiveness of enterprises and achieved a comparative advantage in competition.

Intelligent e-commerce logistics path planning and scheduling optimization combined with graph theory

Abstract Solving logistics and distribution problems through intelligent algorithms can strongly improve the market core competitiveness of e-commerce logistics enterprises. This paper maps the distribution station location in e-commerce logistics to graph theory nodes and establishes the logistics path planning model. Then use the binary group to improve the Dicoscher algorithm to solve the planning of the e-commerce logistics path, and through the genetic algorithm to solve the objective function of the cost and other factors in the logistics scheduling to achieve the logistics cost concessions, and ultimately build the e-commerce logistics planning and scheduling optimization strategy. The analysis of the application effect of constructing the path planning and optimization strategy finds that the distribution distance of the logistics path solved by this paper’s algorithm under the condition of 20 distribution points is 80.47km shorter than that of the ant colony algorithm. The total cost spent on the path is 799.75 yuan on average, and the time consumed is only 62.14s. Meanwhile, it has been found that after implementing the path planning strategy, the total working time of the dispatcher decreases by 28.6 hours, and the pressure of the job significantly decreases. The e-commerce logistics path planning and scheduling optimization method designed in this paper provides an effective solution for cost-saving in logistics enterprises.

Research on enterprise talent ladder construction strategy based on multidimensional data analysis methodology

Abstract In the face of increasingly fierce competition for talents, strengthening the cultivation of high-potential talent echelon and improving the core competitiveness of enterprises have become the most serious, urgent and realistic issues. The competency iceberg model and the talent echelon construction process are combined in this paper, and a talent competency model and a hierarchical thesaurus are established. For the influencing factors and comprehensive evaluation of talent competency elements in enterprise talent ladder construction, this paper introduces the entropy weight and TOPSIS methods for assessment. It explores the relevant factors of talent competency through multiple linear regression model. The research example is Enterprise Z, and appropriate research data is gathered through questionnaires to examine the development of enterprise talent echelon construction based on multidimensional data analysis technology. The study found that among the elements of talent competency, the weight of knowledge and skills reaches 0.3718, and the highest relative closeness of the ten middle managers is 0.798. The enterprise’s talent competency will significantly increase by 0.772 percentage points when the job evaluation process rises by 1 percentage point. The enterprise talent ladder construction needs to improve the corresponding job assessment process, establish a sustainable talent reserve system, and smooth career development channels to effectively enhance the enterprise talent ladder construction capacity.

Research on optimal cutting scheme based on three-stage guillotine cut

Smart manufacturing has become a major part of the core competitiveness of enterprises, and better scheduling optimization methods are obtained in order to reduce the material loss in the manufacturing process. In this paper, we construct a mixed integer programming model, iterate from local optimum to global optimum by genetic algorithm, and finally solve the question B of the 2022 China Graduate Student Mathematical Modeling Competition. We get the results that the utilization rate of each scheduling solution is higher than 90%, which shows the effectiveness of the model and algorithm, and can greatly improve the utilization rate of plates.

数字化转型、高管行为与企业代理成本

Nowadays, digitization is regarded as a hot topic that can improve the core competitiveness of enterprises, and whether the agency problems existing in enterprises can be alleviated with the application of digital technology is still a black box. This article takes companies listed on the Shanghai and Shenzhen A-shares from 2010 to 2022 as samples and uses empirical research methods to explore the impact and mechanism of digital transformation on corporate agency costs. The research results indicate that digital transformation will increase the agency costs of enterprises. Mechanism analysis found that digital transformation increases agency costs by increasing executive compensation stickiness and on-the-job consumption, but through internal overseas talent recruitment and external financial institution shareholding, agency problems caused by digital transformation can be alleviated. Further analysis reveals that although digital transformation exacerbates the agency problem of enterprises and has a more significant impact on non-state-owned, mature, non-high-tech, and eastern region enterprises when conducting digital transformation, while increasing costs, digital transformation also improves the input-output rate of enterprises and alleviates financing constraints. In summary, the research results demonstrate the impact of enterprise digitization from the perspective of corporate governance, providing new solutions and ideas for reducing agency issues in enterprises, and enriching and expanding research on the impact of technological innovation on the economy and society.

Determining the Importance of Shaping Requirements Constructing Enterprise Culture Based on QFD

To effectively improve the core competitiveness of construction enterprises, it is necessary to build a unique enterprise culture. In this paper, the adaptability of the quality function deployment (QFD) method in the process of construction enterprise culture construction is analyzed, and the construction process can be divided into three stages: cultural planning, process planning, and implementation planning. Furthermore, an analysis method of shaping requirements of internal and external customers in the formation of construction enterprise culture is proposed, which allows customer representatives to define shaping requirements using preferred phrases. Finally, an example is given to verify the effectiveness and feasibility of the proposed method.

Analysis of the Impact of Green Innovation and Corporate Green Performance

Green innovation plays a crucial role in contemporary enterprise development, and its impact on enterprise green performance is multifaceted and far-reaching. From policy guidance to technology promotion to intellectual property protection, this series of measures together motivate enterprises to be more active in innovation in the field of environmental protection and improve the level of green performance. First, policy support provides enterprises with clear directions and incentives, and through financial incentives, regulations and other means, it promotes enterprises to better fulfill their social responsibilities and accelerates the pace of green innovation. Secondly, the improvement of technology level and the protection of intellectual property rights have provided the technical basis and legal guarantee for green innovation, accelerated the dissemination and application of environmental protection technology, and improved the core competitiveness of enterprises in the field of environmental protection. Finally, from the perspective of industry chain resilience, green innovation makes the whole industry chain more adaptable and growth potential, provides new market opportunities for enterprises, and promotes the upgrading and sustainable development of the whole industry chain. Overall, green innovation not only provides enterprises with a new impetus for development, but also pushes them to fulfill their social responsibilities more actively, and prompts the whole industry chain to move towards a greener, more innovative and sustainable direction.

Does digital transformation enhance the core competitiveness?-Quasi-natural experimental evidence from Chinese traditional manufacturing.

In the era of the digital economy, building an internationally competitive manufacturing industry with intelligent manufacturing as its main focus is the only way to promote the transformation of a country into a manufacturing power and achieve high-quality economic development. To explore whether Digital transformation can improve the core competitiveness of traditional manufacturing enterprises, and what factors affect this process, this study establishes the core competitiveness system of enterprises through the principal component analysis(PCA) method and discusses the above issues through the construction of a double difference model. The results of this research from China's traditional manufacturing industry are as follows. (i) The digital transformation of enterprises has significantly improved their core competitiveness and has a certain time lag effect. (ii) In the process of enterprise digital transformation, enterprise management capabilities, environmental uncertainty, and enterprise operational efficiency will positively enhance the results of enterprise digital transformation. (iii) The enhancement of core competitiveness caused by digital transformation is more significant for the market leaders and laggards. (iv) Compared with non-state-owned enterprises, the Digital Transformationn of state-owned enterprises has a more obvious effect on promoting their core competitiveness. (v) In comparison with enterprises with low government subsidies, the Digital Transformation of enterprises with high government subsidies plays a more significant role in promoting their core competitiveness. In addition, this study proposes policy guidance and practical guidance for digital transformation to accelerate the promotion of core competitiveness of traditional manufacturing industry.

An empirical analysis of the impact of Cross-border E-commerce on the competitiveness of SMEs based on the context of big data

Abstract Cross-border E-commerce has advanced greatly with the help of big data technology, cross-border payment and logistics maturity and improvement, and backing from the national “One Belt, One Road” policy. Firstly, based on the study of enterprise core competitiveness evaluation index system, one is proposed for the core competitiveness of Cross-border E-commerce enterprises, and an evaluation model based on SA-LSTM for the core competitiveness of Cross-border E-commerce enterprises is constructed. Then, with the research objective of refining the core competitiveness of Cross-border E-commerce enterprises, the model was applied to empirically analyze the core attractiveness of major domestically listed Cross-border E-commerce enterprises. The results show that laws and regulations have no significant influence on enterprise competitiveness, the regression coefficient is not significant, and the t-value = 1.793 < 2. Hypothesis A is not verified. And the p-values of the technical environment, development potential, market demand, capital management, process cost, information sharing and service level are all less than 0.05, and the regression coefficients are all significant with t-values greater than 2, indicating that indicators B to H has a significant positive influence on enterprise competitiveness. This study reduces the barriers for SMEs to apply Cross-border E-commerce to participate in foreign trade, reduces the cost of enterprises, and improves their own competitiveness.

The effect of family boundary flexibility on employees' work engagement: a study based on person-environment fit theory perspective.

Under the impact of the era of big data and public emergency, the blurring of family-work boundaries and the increasing burden of family responsibilities will pose a great challenge to employee resilience and family work balance, which in turn will affect employees' work engagement. Therefore, based on the person-environment fit theory, this study aims to explore the potential mechanism and boundary conditions of employee family boundary flexibility fit on work engagement. This study conducted a random sampling of enterprise employees in China. A sample of 433 participants completed a questionnaire to provide data. We conduct hierarchical regression and Bootstrap analysis to verify the hypothesis model. The study found that employees' work engagement is significantly improved when their family boundary flexibility is matched. Family-work enrichment plays a role in mediating the impact of employees' family boundary flexibility on work engagement. The relationship between family-work enrichment and work engagement is moderated by family support. Therefore, enterprises should respect and value each employee's family boundary flexibility, establish family-friendly policies, and consider personal family boundary flexibility in employees' career development planning. This will promote the enhancement of employee resilience, enable better engagement in work, improve work efficiency, and enhance the core competitiveness of enterprises.

How to Use Human Resource Management to Enhance the Core Competitiveness of Real Estate Enterprises in Developed Regions of China

Building an efficient human resource management system is the key to enhancing the core competitiveness of real estate enterprises. This article aims to explore how to enhance the core competitiveness of real estate enterprises through effective human resource management. In today's fiercely competitive market environment, human resources are one of the most important assets of enterprises. This article will propose relevant strategies and practical experience from aspects such as human resource planning, recruitment, and selection, to help real estate enterprises improve their core competitiveness.