Relevant Enterprises Research Articles

New Quality Productivity Empowers Enterprises Risk-Driven Innovation -- Taking BYD's Entry into New Energy Vehicle Insurance Industry as an Example

Abstract: Driven by the new wave of revolution in the science and technology industry, emerging industries are emerging one after another, with huge potential and unpredictable risks coexisting. The concept of new quality productivity came into being,which represents the innovation of productivity and the future development trend of advanced productivity. This paper uses a conceptual analysis method to study and analyze the logical ideas of risk-driven innovation of enterprises empowered by new quality productivity, and takes BYD's entry into the new energy vehicle insurance industry as an example to conduct a case analysis. The study demonstrates the positive role that new productivity plays in empowering enterprise innovation at the technical level and building an innovation culture for enterprises when firms engage in risk-driven innovation. Based on this, the study suggests innovative behaviors for relevant enterprises to explore new industries in the future. Enterprises with innovation needs can realize risk-driven innovation by utilizing new quality productivity from multiple perspectives, such as enhancing core technology R&D capabilities, cultivating new production factors, forward-looking planning for new industries, and shaping the supply chain pattern of new industries.

Optimal (T,N,n) preventive replacement first policy for a parallel system

A ( T , N , n ) preventive replacement first (PRF) policy is proposed in this article to investigate a parallel system with two independent parts where the secondary part is in a cold-standby state initially. Before the system fails completely, a preventive replacement is carried out at the planned time T, the time when the system successively completes N jobs or the time when the system suffers the n-th type-I failure, whichever occurs first. The system deteriorates stochastically, and it may experience two types of failures: type-I (repairable or minor) failure and type-II (non repairable or catastrophic) failure. When the system suffers a type-II failure, it’s correctively replaced. This model is widely applied in real-life scenarios, especially in the aviation industry. Under the single-parameter optimization scenario, both cost-minimal N and n exhibit favorable convexity characteristics. This indicates that we can uniquely determine the optimal N and n under the principle of minimizing the mean cost rate. Furthermore, we find that the mean cost rate cannot be minimized as T is less than a certain threshold, which implies that the planned time of the preventive replacement should not be implemented too early. In addition, the optimal multi-dimensional replacement policy that minimizes the mean cost rate can be uniquely obtained by theoretical or numerical analysis. Our proposed model provides a versatile formulation for analyzing a large variety of replacement policies. Compared with previous literature, the PRF policy adopted in this article integrates T-, N- and n- control policies, making it more comprehensive. It’s of practical significance for relevant enterprises to make decisions, assisting them in minimizing the mean cost rate while enhancing system reliability.

Research Progress on Solid-State Electrolytes in Solid-State Lithium Batteries: Classification, Ionic Conductive Mechanism, Interfacial Challenges

Solid-state lithium batteries exhibit high-energy density and exceptional safety performance, thereby enabling an extended driving range for electric vehicles in the future. Solid-state electrolytes (SSEs) are the key materials in solid-state batteries that guarantee the safety performance of the battery. This review assesses the research progress on solid-state electrolytes, including polymers, inorganic compounds (oxides, sulfides, halides), and organic–inorganic composites, the challenges related to solid-state batteries in terms of their interfaces, and the status of industrialization research on solid-state electrolytes. For each kind of solid-state electrolytes, details on the preparation, properties, composition, ionic conductivity, ionic migration mechanism, and structure–activity relationship, are collected. For the challenges faced by solid-state batteries, the high interfacial resistance, the side reactions between solid-state electrolytes and electrodes, and interface instability, are mainly discussed. The current industrialization research status of various solid electrolytes is analyzed in regard to relevant enterprises from different countries. Finally, the potential development directions and prospects of high-energy density solid-state batteries are discussed. This review provides a comprehensive reference for SSE researchers and paves the way for innovative advancements in regard to solid-state lithium batteries.

Risk Management in Internet Consumer Finance: A Case Study of Douyin Monthly Pay

Abstract: This study aims to explore risk management in internet consumer finance, taking Douyin Monthly Pay as a case study for in-depth analysis. Risk management is particularly crucial with the rapid development of internet consumer finance. By studying the current situation of risk management in Douyin Monthly Pay, some problems and challenges can be found. This study puts forward some suggestions and conclusions through detailed case analysis. Through this research, the risk management practice in Internet consumer finance can be better understood, providing valuable references and insights for related enterprises. Given the current context of internet consumer finance development, the importance of risk management is self-evident. Through the Douyin Monthly Pay case study, specific operations and risk management challenges can be thoroughly understood, guiding the industry toward future development. The conclusions and recommendations of this study can offer certain references and insights for relevant enterprises in risk management, promoting the healthy development of the industry.

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 Effect of EAP on Job Performance Based on Psychological Contract and Perceived Organizational Support

In order to study whether employee assistance programs have a significant impact on job performance, whether psychological contract and perceived organizational support play a mediating role in job performance, and thus provide practical operational strategies for relevant enterprises to propose human resource management suggestions to promote job performance, the implementation of employee assistance programs has been the subject of practical research. The findings indicate that addressing issues related to high turnover, job burnout, and absences cannot be separated from the importance of the psychological contract, perceived organizational support, and employee performance in organizational change. By applying structural equation modeling (SEM) to the data from front-line employees of several units in China, this research tested the relationships among employee assistance programs, psychological contracts, perceived organizational support, and job performance using SPSS and AMOS. The results indicate that employee assistance programs positively affect job performance; psychological contracts and perceived organizational support play a mediating role between employee assistance programs and employee job performance (JOP). Our research suggests that an employee assistance program can optimize frontline employee assistance work, build a mechanism to stimulate frontline employees' psychological contracts, and create an organizational environment full of perceived organizational support. This study innovatively uses the structural equation model for quantitative research. In addition, most previous studies on EPA were based on a single variable, psychological contract, and POS were used as the main intermediary variables to explore the mechanism of their impact on job performance so as to enhance the explanatory power of employee job performance. Doi: 10.28991/ESJ-2024-08-05-018 Full Text: PDF

Research on the Digital Transformation Process from Dependent to Self-Empowered Upgrading

In the face of many challenges in the digital era, how to accelerate the digital transformation of enterprises has become a topic of widespread concern in academia and industry. In the face of many challenges in the digital era, how to accelerate the digital transformation of enterprises has become a topic of widespread concern in academia and industry. Considering that the stage of this solution is to first rely on relevant enterprises to upgrade and build digital systems, and then cultivate their own digital capabilities, so as to complete the iteration of digital system capabilities and achieve continuous self-empowerment upgrades, it is named as the research on the process of upgrading from dependent to self-empowered to digital transformation.

Intelligent Development, Knowledge Breadth, and High-Tech Enterprise Innovation: The Moderating Role of Knowledge Absorptive Capacity

Innovation serves as the cornerstone for high-quality development in high-tech enterprises, with intelligent development emerging as a central aspect of innovation efforts. However, how intelligent development promotes the innovative development of high-tech enterprises is still a topic of continuous debate and exploration. By integrating enterprise innovation theory and knowledge-based theory, this paper constructs a theoretical framework to examine the influence of intelligent development on high-tech enterprise innovation. Through an analysis of 694 listed high-tech enterprises on China’s manufacturing A-share market from 2013 to 2021, we empirically investigated the effects of mediating mechanisms and moderating effects of intelligent development on high-tech enterprise innovation. The results show that intelligent development significantly boosts high-tech enterprise innovation. Knowledge breadth plays a mediating role in the relationship between intelligent development and high-tech enterprise innovation, indicating that intelligent development promotes high-tech enterprise innovation by enhancing knowledge breadth. Additionally, knowledge absorptive capacity can strengthen the impact of knowledge breadth on high-tech enterprise innovation, that is, the stronger the knowledge absorptive capacity, the greater the impact of knowledge breadth on high-tech enterprise innovation. The conclusion of this paper provides a theoretical basis and practical guidance for high-tech enterprises regarding how to better use intelligent technology for innovation. Relevant enterprises can strengthen their knowledge management and mobility strategies and fully utilize the potential of intelligent technology to achieve more innovative and competitive development.

Research on the Implementation and Optimization of Energy Management System in Enterprises

With carbon neutrality and peak carbon emissions gradually becoming the unwavering goals of the world at present, China advocates that all types of enterprises further implement sustainable development strategies in their business development process. The energy management system is a key link that affects the development prospects of relevant enterprises. This article mainly analyzes the current operation status of the energy management system of enterprises, proposes corresponding optimization measures for the problems existing in operation, and aims to promote the process of enterprise energy management system by adhering to the principle of continuous innovation, continuously optimizing the energy management system of enterprises, scientifically allocating relevant personnel and energy, improving the economic efficiency of enterprises, and assisting the green, low-carbon and sustainable development of enterprises.

Research on North American Office Furniture Industry based on STEEP Analysis Technology

In this paper, STEEP analysis technology is used to analyze the North American office furniture industry. First, the scope of the study is determined through introduction and industry scope. Secondly, the value chain, concentration, growth rate, technology, globalization, etc. are analyzed to understand the overall situation of the industry. Then, the competitiveness of the industry is analyzed by Porter's five forces model. At the same time, the financial ratio is used to analyze the profitability. Then, STEEP technology is used to analyze 12 factors of the industry, including society, technology, economy, and environment, to identify the key success factors of the industry. Finally, it is concluded that the North American office furniture industry has moderate competition, certain profitability and investment opportunities. This study can provide reference for relevant enterprises to formulate development strategies.

Research on the Influencing Factors of Users’ willingness to share of Food Production Short Video

The production of food-related short videos is a crucial segment within the short video industry, with a substantial audience on social networking platforms and attracting the attention of relevant enterprises. This paper establishes a research model based on the SOR theory, in which the social attributes of the platform, content practicality, self-efficacy, and emotional resonance collectively influence users' intention to share. The questionnaire is empirically tested using SPSS 27.0, and the results indicate that the social attributes of the platform, content practicality, and self-efficacy significantly positively impact users' sharing intention through emotional resonance.

Can green finance improve the ESG performance? Evidence from green credit policy in China

Green finance, as a crucial policy instrument for achieving environmental and social objectives, has gradually become a focal point of reform in many countries. This study employs the comprehensive ESG (Environmental, Social, and Governance) score of enterprises as a proxy variable for environmental and social responsibility, utilizes difference-in-difference (DID) method and micro-level data from Chinese listed companies spanning the period from 2011 to 2021, reveals that green credit policy significantly enhances the environmental and social performance of relevant enterprises. Further research indicates that green credit policy, through optimizing the allocation of credit resources, fostering environmental awareness among management, and increasing investment in research and development, contribute to the improvement of enterprise ESG performance. Additionally, the degree of regional marketization and the level of financial constraints on enterprises act as moderating factors in the policy's effectiveness, with the enhancing effect of the policy being more pronounced for enterprises with initially top and bottom ESG performance.

Multi-pass deep-drawing process and mould design for thin-walled hollow cylindrical parts

Thin-walled hollow cylindrical parts are widely employed in various industries, including automobiles, ships, and aviation, due to their increased demand and the escalating quality requirements for their formation. The production of these parts primarily relies on a multi-stage deep drawing process. However, during the deep drawing process, the gradual reduction in the side wall thickness creates a susceptible area at the bottom rounded transition, where local over-thinning may occur, thereby increasing the risk of cracking. Furthermore, the deep-drawing process becomes more intricate for thin-walled hollow cylindrical parts with a large height-to-diameter ratio, amplifying the likelihood of defects during actual production. This paper combines CAE simulation and empirical design to comprehensively investigate and analyze the multi-stage deep drawing process and mold design for thin-walled hollow cylindrical parts. The aim is to optimize the deep-drawing process and mold parameters, enhance the products qualification rate, and provide valuable guidance for the practical production of relevant enterprises.

Improving the maritime supply chain resilience: the role of firms’ dynamic knowledge management and organizational innovation

PurposeThis study aims to explore the influence of dynamic knowledge management capabilities on organizational innovation and supply chain resilience in maritime shipping companies. Furthermore, this study investigates the moderating role of growth-oriented strategies and the mediating role of organizational innovation.Design/methodology/approachData were collected from 76 maritime shipping companies in South Korea. The research hypotheses were tested using structural equation modeling.FindingsThis study demonstrates that effective dynamic knowledge management capabilities in maritime shipping companies significantly enhance organizational innovation and boost the resilience of their supply chains. Organizational innovation positively mediates the relationship between dynamic knowledge management and supply chain resilience. Moreover, a company’s growth-oriented strategy positively moderates the relationship between dynamic knowledge management and organizational innovation.Originality/valueBased on the existing literature, this study develops the concept of dynamic knowledge management and validates its impact on organizational innovation and the resilience of maritime supply chains. Furthermore, unlike previous studies, this study focuses specifically on maritime supply chains. Through a survey of 76 maritime companies in South Korea, the study validates relevant hypotheses and draws conclusions. This contributes to expanding and enriching existing research while offering meaningful insights for relevant enterprises.

Optimal strategies for innovation and market allocation in joint production

Capacity sharing is an important way for relevant enterprises to save production materials. This paper constructs a capacity sharing decision-making model that considers market competition intensity, and introduces the independent market size of participating entities into the model design. This paper explores the impact mechanism of factors such as market competition intensity, independent market size of participating entities, and innovation cost coefficient on system decision-making. Research has found that the increase in independent market size has a consistent impact on the innovation and pricing decisions of enterprises sharing production capacity. Although the increase in independent market size enhances the sharing ability of production line innovation costs, it may not necessarily alleviate the problem of excessive competition among participating entities in overlapping markets. It is also necessary to specifically consider the impact of market competition intensity. The specific research conclusions provide decision-making basis for enterprises to participate in the process of capacity sharing, and also provide theoretical basis for relevant government departments to intervene in the process of capacity sharing.

Redefining Supply Chain Financing: The Role of Long-Term Investors and Intangible Assets from a Resource-Based View Perspective

Supply chain finance has the capacity to enhance the efficiency of financing and the ability to manage risk for all stakeholders involved in the supply chain, leading to the promotion of sustainable development, and fostering collaborative partnerships within the chain. The theoretical foundation for the evolution of supply chain finance and the optimal utilization of internal and external resources can be attributed to the resource-based view. Building upon this view, we propose establishing a framework for the relationship between supply chain finance, intangible assets, and long-term investors. However, it is crucial to note that, under the predominant shareholding structure of long-term investors, the value and safeguarding of intangible assets may not be effectively enhanced. This can have ramifications on the investment decisions and interest protection of long-term investors as well as hinder the competitiveness of enterprises and the efficacy of supply chain finance. Leveraging it allows for the extraction of value from intangible assets and attracts the support of long-term investors, thereby aiding enterprises in risk reduction, fostering innovation and technological advancement, and ultimately achieving sustained development. Our proposed model serves as a valuable reference for relevant enterprises and individuals seeking to utilize supply chain finance, particularly for entrepreneurs and innovative companies.

Research on the Integration Innovation of AI and E-commerce and Its Impact on Future Business Models

This paper aims to explore the specific application of Artificial Intelligence (AI) technology in the e-commerce industry and the changes it brings, given the industry's rapid development, intensifying market competition, and evolving user needs. By reviewing the history of e-commerce development, we gain an in-depth understanding of the status of AI application in meeting market demands. The study focuses on the specific application of AI technology in e-commerce operations and its effectiveness, deeply analyzing key areas such as intelligent recommendation systems and data analysis. It reveals how AI can reshape the operational mode and business model of the e-commerce industry by enhancing user experience, optimizing operational efficiency, and deeply exploring data value. Furthermore, the paper explores the potential impact of this integration on the future development of the e-commerce industry and makes predictions on the prospects of AI technology application, providing valuable references for relevant enterprises and researchers. Ultimately, this research concludes that AI technology holds great promise in driving the sustainable and healthy development of the e-commerce industry by enabling more effective market competition response and precise user need satisfaction.

多元融合与创新实践：2024年第一批教育部产学合作协同育人项目分析（港美通科技（深圳）有限公司支持立项）

为深化产教融合、校企合作，教育部高等教育司组织有关企业和高校持续深入实施产学合作协同育人项目。2024年4月，喀什大学等与港美通科技（深圳）有限公司合作的6个项目获批教育部产学合作协同育人项目。这些项目涵盖非物质文化遗产保护、教师能力提升、虚拟仿真平台开发等多个领域，旨在通过跨学科合作和教育技术的运用，培养适应现代社会需求的高素质人才。文章强调了产学合作模式在增强学生实际操作能力、推动教育内容与产业需求对接方面的重要作用。通过这些项目实践，揭示了合作教育项目在促进学科交叉、增强教育适应性及创新能力方面的潜在价值。 In order to deepen the integration of industry and education and school-enterprise cooperation, the Higher Education Department of the Ministry of Education organized relevant enterprises and universities to continue to implement in-depth industry-university cooperation collaborative education projects. In April 2024, six projects in cooperation with Kashgar University and GMT Technology (Shenzhen) Co., Ltd. were approved as industry-university cooperation collaborative education projects by the Ministry of Education. These projects cover intangible cultural heritage protection, teacher capacity improvement, virtual simulation platform development and other fields, aiming to cultivate high-quality talents that meet the needs of modern society through interdisciplinary cooperation and the application of educational technology. The article emphasizes the important role of the industry-university cooperation model in enhancing students' practical ability and promoting the connection between educational content and industrial needs. Through these project practices, the potential value of cooperative education projects in promoting interdisciplinary and enhancing educational adaptability and innovation capabilities is revealed.

Exploring the Influence of Green Product Attributes on Consumer Perceived Value and Purchase Intention: Taking Green Household Appliances as an Example

Purpose - This study takes green household appliances as an example to investigate how green product attributes impact consumers’ perceived value and purchase intention. It further explores the moderating role of consumer innovativeness and mediating role of perceived value. Design/Methodology/Approach - The research participants were 259 Chinese consumers, whose relevant data were collected through a questionnaire survey. The data analysis was performed with structural equation modeling using SmartPLS. Findings - The results indicate that green products’ core (functional and value-for-money) and peripheral (emotional and social) green attributes both positively influence consumer perceived value, which, in turn, positively affects their purchase intention. Perceived value plays a positive mediating role between green product attributes and consumer purchase intention. However, the moderating effect of consumer innovativeness is not significant. Research Implications - First, this study explores the impact of green product attributes on consumer purchase intention from multiple dimensions, enriching empirical research on green product attributes. This provides a theoretical foundation for enterprises to strategically implement green product marketing strategies. Furthermore, based on the research findings, we recommend that relevant enterprises emphasize green product and technology research and development, guiding consumers toward environmentally friendly purchasing behavior with targeted approaches. This, in turn, will lead to ongoing development of the green market and green consumption.

Research on the Purchase Intention of Intangible Cultural Heritage Creative Products based on Tourist Perceived Value

This study aims to explore in depth the purchasing intentions of tourists towards creative products of intangible cultural heritage, aiming to reveal the level of recognition and importance that tourists place on the intangible value carried by intangible cultural heritage during the purchasing process. By using a questionnaire survey, a total of 500 valid samples of tourists from different backgrounds and experiences were collected, allowing for a more comprehensive understanding of their purchasing preferences and decision-making factors. The statistical analysis and discussion of data reveal a series of factors that affect tourist purchase intention. Firstly, uniqueness is an important influencing factor, and tourists tend to purchase products with unique cultural characteristics and historical significance because these products can arouse their interest and sense of identity. Secondly, the expression of cultural symbols also has a significant impact on purchase intention. Tourists are more willing to purchase products that reflect local culture and traditions, as these products not only have aesthetic value but also convey deep cultural connotations. In addition, emotional identification is also one of the important factors affecting purchase intention. Tourists tend to purchase products that can evoke emotional resonance and identification, as these products can stimulate their emotional experiences and memories. Finally, although price factors also have a certain impact on purchase intention, they are not decisive factors. Tourists are more willing to pay reasonable prices for products with rich cultural connotations and emotional experiences. Overall, this study reveals that tourists pay more attention to the cultural connotations, emotional experiences, and emotional identity of intangible cultural heritage creative products when purchasing them, rather than simple material attributes. This provides important references for relevant enterprises and organizations to better understand the needs and preferences of tourists, thereby developing more attractive and competitive intangible cultural heritage creative products.