Relevant Enterprises Research Articles

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>

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 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.

Features of criminal characteristics of crimes in the sphere of intellectual property

The article is devoted to the peculiarities of the forensic characteristics of crimes in the field of intellectual property. It is noted that the Constitution of our country guarantees every citizen the right to the results of his intellectual and creative activity; no one can use or distribute them without his consent, with exceptions established by law. However, criminals violate this right and commit corresponding criminal offenses, the responsibility for which is provided for by Articles 176, 177, 203-1, 229 of the Criminal Code of Ukraine. At the same time, the formulation of the forensic characteristics of any criminal offense is an important stage of its proof, as it allows not only to determine the circumstances that need to be established, but also to draw up a further investigation plan and tactics for conducting investigative (search) actions.
 It was concluded that the forensic characteristics of criminal offenses in the field of intellectual property include: the method of committing the crime, the object of the criminal offense, the identity of the criminal and typical traces of the crime.
 The criminal’s choice of the subject of the criminal offense is determined, first of all, by the level of his education, the presence of certain professional skills and knowledge necessary for the implementation of the plan, and the technical side of the issue. All this is especially true for crimes related to copyright infringement in the field of distribution of audio and video products and computer information. Because a person who does not have certain special skills and education is not able to develop a crime plan and implement it. In addition, the criminal must first have access to the object of criminal trespass, and therefore know the technical features of its carrier and the organization of the work of the relevant enterprises, corporations, companies, firms and the like, in whose custody a certain desired work is located.
 It has been established that the typical traces of these crimes are characterized by certain features in the process of trace creation, namely: their commission is mostly disguised as ordinary economic transactions; the tools used to commit them are significantly different from those used to commit other crimes; traces usually remain in various accounting, management or technological documents; the very objects of the criminal offense can be used within the framework of legitimate economic transactions.

How the digital empowerment of mobile social platforms improves Chinese traditional retail enterprises’ operational performance: from the knowledge management capabilities perspective

PurposeBased on the perspective of knowledge management capability, this paper aims to reveal the internal mechanism of the digital empowerment of mobile social platforms to improve the operational performance of Chinese traditional retail enterprises. Such improvements have crucial theoretical value and practical implications for Chinese traditional retail enterprises to achieve transformation and sustainable development.Design/methodology/approachThis study applied the typical analysis method, selected China’s leading mobile social platform, WeChat, as a typical case, and observed and analyzed the public data of the traditional retail industry and social platforms and interviews with relevant enterprises. On this basis, this study used the inductive and deductive methods of qualitative research to conduct an in-depth analysis of the mechanism by which WeChat’s digital empowerment improves the operational performance of Chinese traditional retail enterprises. It also discussed the critical role and path knowledge management capabilities play in this mechanism.FindingsThis research demonstrated that mobile social platforms empower Chinese traditional retail enterprises to build diversified digital channels, enhance the knowledge acquisition capability of enterprises and thus improve their performance; empower Chinese traditional retail enterprises to build digital community networks, enhance the knowledge diffusion capability of enterprises and thus improve their performance; and empower Chinese traditional retail enterprises to integrate online and offline businesses, enhance the knowledge integration capability of enterprises and thus improve their performance.Research limitations/implicationsThis study clarifies the internal mechanism of how the digital empowerment of mobile social platforms can improve the performance of Chinese traditional retail enterprises. This mechanism implies that knowledge management capabilities (knowledge acquisition, diffusion and integration capability) are the underlying logic for Chinese traditional retail enterprises to achieve higher performance levels. This has important practical implications for managers of Chinese traditional retail enterprises to leverage the digital infrastructure of mobile social platforms to achieve the sustainable development of enterprises.Originality/valueThis study provides an in-depth analysis of how the traditional retail industry uses digital social platforms to improve operational performance from the perspective of knowledge management capabilities, which can further promote the theoretical research and practical development of digitalization and knowledge management. At the same time, this study explored the research on the operational performance of Chinese traditional retail enterprises from the perspective of knowledge management capabilities and expanded the research on knowledge management in related fields. The authors have initially sorted out the impact of knowledge management capabilities on the operational performance of Chinese traditional retail enterprises in the digital era. This will help better understand the role and function of knowledge management in strategic transformation and expand the application of knowledge management theory.

Balancing microcrystalline domains in hard carbon with robust kinetics for a 46.7 Wh kg−1 practical lithium-ion capacitor

As a promising electrochemical energy storage system, lithium-ion capacitors (LICs) exhibit alluring theoretical merits of high energy density, high power density and long cycle life. However, most of the LIC cells can hardly surpass the practical energy density threshold of 30 Wh kg−1, which greatly hinders their employments in various energy-oriented fields. Anthracite shows great prospect as low-cost and abundant carbon precursor to prepare anode material with plentiful Li-ion anchoring sites for high performance LICs. In this work, a scalable low-temperature hydrothermal disordering strategy is proposed to achieve balanced structural modification of anthracite into short-ranged turbostratic carbon precursor, which further transforms into microcrystalline hard carbon (MHC) with high electrical conductivity (13065 S m−1) and substantially improved energy storage kinetics. A practical large-capacity LIC pouch cell is fabricated using MHC anode and activated carbon cathode to deliver a maximum gravimetric and volumetric energy density of 46.7 Wh kg−1 and 66.8 Wh/L based on the total weight of cell, outperforming the commercially available LIC products from relevant enterprises. Moreover, the cell reveals an exceptional capacity retention of 94.7 % after 10,000 cycles at high current density. The work herein would emerge as a universal and feasible protocol to fabricate high-end carbon electrode for practical LICs in numerous energy-intensive occasions.

Evolutionary game analysis of factors influencing green innovation in Enterprises under environmental governance constraints

The key to controlling environmental pollution is to promote green innovation in relevant enterprises and achieve a healthy development of the environmental governance system. This paper constructs a tripartite evolutionary game model of environmental protection enterprises, polluting enterprises, and governments, and conducts in-depth research on the influencing factors that promote green innovation in two types of enterprises. MATLAB software is used to analyze the impact of different degrees of influencing variables on system evolution. It has found that (1) increasing the intensity of environmental governance and the level of innovation subsidies by the government can effectively promote green innovation in both types of enterprises. (2) The varying degrees of innovation compensation from polluting enterprises to environmental protection enterprises have a significant impact on system evolution. (3) The initial intention and population size of two types of enterprise entities will have a significant impact on system evolution. In the initial state, subjects with more green innovation are less willing to change their strategies during the evolution process, while the willingness of the other party to green innovation will be suppressed.

The Impact of the Use of Fintech on Enterprise Value

With the evolution and progression of fintech, an increasing number of enterprises have introduced fintech. However, it is still unclear whether fintech can improve enterprise value in practical application. This study collected relevant data of Shanghai and Shenzhen A-share listed companies in China from 2011 to 2019, and analyze the objective impact of fintech on enterprise value by linear regression. Linear regression model was established, descriptive statistics were performed, collinearity problem was excluded, and significance level was observed. By conducting rigorous empirical research to explore the use of fintech on the value of enterprises. Through this research, it is found that the use of fintech has a significant improvement on the value of enterprises, indicating that fintech is conducive to improving the efficiency of business operations and improving their performance in the market. Further research finds that the significance level of small enterprises is significantly positive at the 5% level. It is speculated that this is because for small enterprises, the technology level is relatively backward compared with that of large enterprises. At this time, the introduction of fintech will greatly promote the development and value of enterprises. Finally, it is concluded that relevant enterprises can improve their self-value by introducing fintech.