bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on the Impact of Family Capital on Individual Employment Quality—Empirical Analysis Based on CFPS Data
Authors: Huang Yingjie , He Peiyi
Published: September 2024

Based on the data of China Family Panel Studies (CFPS) in 2020, this paper uses OLS and Logit regression models to explore the impact and mechanism of family capital and education acquisition on individual employment quality. The study found that family capital has a significant positive impact on the quality of personal employment; the effect of family capital on the improvement of objective employment quality is greater than that of subjective employment quality. Family capital can have a positive impact on the quality of individual employment through education acquisition, and education acquisition shows a significant mediating effect. Through heterogeneity analysis, it is found that the employment quality of eastern provinces in China is significantly higher than that of central and western provinces. There are significant differences in the quality of employment between urban and rural individuals. Individuals in rural low-education and low-income families have significant disadvantages in the quality of employment compared with urban high-education and high-income families. The promotion effect of family capital on the employment quality of middle-educated workers is significantly higher than that of low-educated groups, and the phenomenon of " degree inversion " in the employment of high-educated people is more prominent. Therefore, China should improve the relevant employment quality assurance system, strengthen employment guidance, increase investment in education funds in economically lagging areas, and improve education to promote high-quality employment.
The Application and Development of Design Management at IKEA: A Case Study Based on The Concept of Democratic Design
Authors: Zhang Jiumei , Su Junhao , Zeng Yi , Zhang Chenning
Published: September 2024

This report delves into the principles, methodologies, and principles underpinning design management, utilizing the illustrative case of IKEA, a prominent retailer specializing in home furnishings. It conducts a comprehensive review of the existing literature on design management, undertakes an analysis of IKEA's design management framework, and posits recommendations for its continued evolution. The report illustrates how IKEA strategically employs design as a catalyst for organizational success, generating value and impact across various facets of design. Additionally, it elucidates how IKEA navigates diverse markets and customer segments through the implementation of localization strategies. The report culminates by advocating the utilization of the Ansoff Matrix as a guiding instrument for shaping product and market strategies within the context of IKEA.
The Impact of ESG Practices on Corporate Performance in the Context of Digital Transformation: A Case Study of TBEA
Authors: Wang Jie , Zeng Xiangfeng
Published: September 2024

In the context of digital transformation, enterprises are facing unprecedented opportunities and challenges, and environmental, social, and governance (ESG) practices have gradually become a focus of attention for enterprises. How to improve their own ESG practices to enhance corporate performance is crucial for the sustainable development of enterprises. This article selects TBEA as a case study enterprise to study its ESG practices from the perspectives of environment, society, and corporate governance in the context of digital transformation. Furthermore, relevant indicators are used to analyze the impact of ESG practices on corporate performance. Research has found that good ESG practices can promote the improvement of a company's financial and non-financial performance, with non-financial performance mainly reflected in the value created by the company for stakeholders.
The Fama-French 3 Factor Model Prediction and Evaluation of Portfolio
Authors: Deng Yangrui
Published: September 2024

This research assesses the performance of a diversified portfolio, including 20 common shares drawn from two industries, that was constructed in January 2024 and held until December 2024. It uses rigorous multi-factor approaches to evaluate each asset's risk characteristics and financial returns using historical data from 2020 to 2023. To offer empirical insights into portfolio dynamics, key indicators include total portfolio returns, standard deviation for volatility, and beta coefficients to measure susceptibility to market swings.
Empirical Study on Whether the Mandatory Provident Fund Policy in Hong Kong Can Meet the Retirement Needs of Citizens
Authors: Cheng Feng
Published: September 2024

Since its implementation in 2000, the Mandatory Provident Fund (MPF) system aims to provide Hong Kong residents with mandatory retirement savings scheme. However, with the changing of social and economic environment, especially the aging and the rising cost of living, whether the MPF system can meet the retirement needs of citizens has become a question worthy of further discussion. This study used empirical research approach to evaluate the effectiveness of the MPF system by collecting and analyzing a large amount of data. In addition, this study will refer to the pension system in other regions of the world for comparative analysis to find out the advantages and disadvantages of the MPF system. Through this study, it is expected that we can comprehensively evaluate the practical effect of MPF system in meeting the retirement needs of Hong Kong residents, and put forward targeted policy suggestions. The research results will provide a scientific basis for the Hong Kong government and relevant decision-making departments, help to further improve the MPF system, improve the level of pension security, so as to better respond to the changes in the social and economic environment. And ensure the retirement quality of life of Hong Kong residents. At the same time, the conclusions and recommendations of this study will also provide reference for other regions to develop or optimize pension systems.
Spatio-Temporal Dynamics and Social-Economic Determinants of Chinese Tourist Demand for South Korea
Authors: Huo Jianing , Zhang Weiran , Liu Jinrui
Published: September 2024

This study, based on panel data from 2009 to 2021, employs a random effects model to analyze the impact of several key economic and social factors on Chinese tourist demand for South Korea. The results reveal that disposable income per capita is significantly negatively correlated with demand for travel to South Korea, indicating that as income increases, tourists tend to opt for higher-end or more distant travel destinations. Additionally, the Baidu Index, geographic distance, and seasonality did not have statistically significant effects on tourism demand, suggesting that these factors do not play a decisive role in the decision-making process of Chinese tourists. The significance of the constant term indicates that, regardless of the changes in other variables, there remains a baseline level of demand for tourism to South Korea. Overall, beyond economic factors, South Korea must focus on enhancing the quality of its tourism products, strengthening cultural appeal, and improving the tourist experience to maintain its attractiveness to Chinese tourists and respond to competitive pressures.
Digital Transformation and Green Investment: The Mediating Role of Green Technological Innovation and Environmental Uncertainty
Authors: Lin Yaping , Cai Lingsha , Huang Xiaoling
Published: September 2024

With the continuous advancement of digitization in traditional industries, digital transformation has become one of the key elements for enterprises to enhance their competitiveness and achieve sustainable development. This study aims to explore how digital transformation affects corporate green investment through green technological innovation and environmental uncertainty, and to validate whether corporate ESG performance and CSR can play a moderating role between digital transformation and green technological innovation. Based on the construction of the theoretical model, further empirical analysis is conducted using unbalanced panel data from 2010 to 2021. The results show that: (1) Digital transformation significantly increases the scale of green investment in enterprises. This conclusion remains valid after using multiple instrumental variables for causal identification. (2) Digital transformation can increase the scale of green investment in enterprises through two paths: improving the level of internal green technological innovation and reducing external micro-environmental uncertainty. (3) Good ESG performance and a high level of CSR in enterprises can positively moderate digital transformation, affecting green investment through technological innovation levels and environmental uncertainty. This study not only enriches the research on digital transformation but also provides policy recommendations for policymakers in promoting green investment and addressing environmental uncertainty.
Statistical Measurement and Economic Effect Research on Green New Energy Industry in Yangtze River Delta
Authors: Tang Qiuhan , Wang Mengyao
Published: September 2024

With the rapid development of economy, human activities have caused great impact on the ecological environment. Achieving peak carbon dioxide emissions, carbon neutrality has become the goal to be completed. Taking the new energy industry in the Yangtze River Delta region as the research subject, this paper explores the relationship between the development of new energy and social economy, scientifically accounts for and evaluates the emission reduction potential of the new energy industry, conducts coupling and coordinated development research on the new energy industry and the regional low-carbon economic integration development, and provides scientific suggestions for the realization of "peak carbon dioxide emissions, carbon neutrality". Focusing on the above purpose, this paper firstly synthesizes the literature, clarifies the relevant concepts of low-carbon economy and the evaluation indicators of the development level of new energy industry, and combs the interaction between the two, providing theoretical support for the subsequent analysis. Secondly, it constructs a multi-dimensional measurement index to explore the green new energy industry, selects the relevant data of three provinces and one city in the Yangtze River Delta region from 2011 to 2019, and uses the TOPSIS entropy method to quantify various indicators of the new energy industry. Then, the unit root test is carried out on the data of different indicators of the new energy industry to judge whether these variable data have stationarity, and then the strength and direction of the relationship between the variables of different indicators are judged through the co-integration test. At last, the PSTR model is applied to take economic growth as the conversion variable, to examine the nonlinear effect of explanatory variables such as economic growth on the development of new energy, to conduct empirical analysis and draw conclusions.
On the Regulation of Technology Transfer
Authors: Xu Feihuan
Published: September 2024

This paper explores the legal controversies and regulatory issues of forced technology transfer (FTT) in international trade, analyzing its stipulations under international law, the balance between intellectual property protection and technology transfer obligations, interpretations of relevant provisions in WTO and other international agreements, and the differences and conflicts in China's legal definitions of technology transfer. Through empirical analyses of WTO dispute cases such as DS603, DS611, and DS615, the study reveals the complexity and diversity of technology transfer in international trade, and proposes specific measures and recommendations for building a fair legal framework for technology transfer. These measures aim to strengthen intellectual property protection while promoting the free flow and development of technology, providing a balanced legal solution for technology circulation in international trade.
Development of Green Finance and Sustainable Investment: A Case Study of the Issuance and Operation of SF Holdings' Green Bond Financing Project
Authors: Gao Cai
Published: September 2024

In recent years, an increasing number of companies have embraced Environmental, Social, and Governance (ESG) principles as a driving force for sustainable development. ESG investment concepts, with green finance as a representative, have gained widespread acceptance. This paper utilizes the event study method, using SF Holdings as a case study, to analyze the issuance costs and economic effects of its green bonds. This analysis aims to provide insights for similar enterprises engaging in green finance and further enrich the theoretical research related to green finance.
A Study of the Application of People Management as Represented by the Team Spirit of "Journey to the West" in a Fortune 500 Company
Authors: Zhang Wenyu
Published: September 2024

In recent years, with the acceleration of the globalization process, international trade competition has become more and more intense, prompting enterprises to constantly adjust internal and external management strategies, coupled with the fact that there are still some inefficiencies in enterprise people management. Numerous enterprises urgently need to develop a larger market space. The enterprise studied in this paper is Procter & Gamble, which is also affected by different degrees, based on this, this paper researches on the enterprise human-centered management within Procter & Gamble, and reasonably draws on the management strategy embodied in the literary masterpiece "Journey to the West" to increase and improve the staff's motivation and innovation ability. This paper introduces factual cases through the method of relevant literature excerpts, based on the academic research on enterprise management, sorting out and summarizing the conclusions on how the ideological culture and management programs complement each other, and exploring the ideas and methods to solve the problem for the further development and growth of the enterprise.
With the Booming of Xi’an, the Opportunities and Challenges Facing the Economic Development of Northwest China
Authors: Feng Boyue
Published: September 2024

In recent years, Xi’an, a city with a long history, has been successfully promoted to the only new first-tier city in Northwest China. Its explosive fire has made other regions in Northwest China see the hope of a substantial rise in economic development. With the popularity of Xi’an undoubtedly plays a leading role in the economic development of Northwest China. Therefore, in order to make the economic development of other provinces in Northwest China also have a qualitative leap, we must first find out the reasons for the bomming of Xi’an and the inspiration behind the reasons as samples, and then analyze the development potential and local characteristics of the other four provinces in Northwest China. Consider whether the development of these provinces can completely follow the economic development route of Xi’an, and finally consider the problems and challenges that each province may face.
Intrinsic Value Evaluation of CNPC: A Comprehensive Analysis
Authors: Cao Yiliang
Published: September 2024

This paper aims to evaluate the intrinsic value of China National Petroleum Corporation (CNPC) through a specially designed valuation system tailored to the unique characteristics of the Chinese oil industry. Utilizing an entropy method to calculate the company's valuation premium rate, referred to as the "China-Specific Valuation Premium Rate" (CSVPR), the analysis incorporates various valuation models, including the Free Cash Flow to Firm (FCFF) model, Dividend Discount Model (DDM), Economic Value Added (EVA) model, and Relative Valuation model.
To Explore the Influence of Debt on Financial Risk of Real Estate Enterprises
Authors: Wu Yuxuan
Published: September 2024

It has become urgent to establish the credit evaluation system of real estate enterprises which conforms to the national conditions of China. This paper explores the possible paths that the increase of debt of real estate enterprises affects the financial risk of real estate enterprises, analyzes the relationship between the major factors that affect the financial risk of real estate enterprises, and uses PVAR model to test the above theoretical analysis. The research finds that the increase in the debt ratio of real estate enterprises will have a significant negative impact on the improvement of their long-term solvency, and the factors affecting the financial risk of real estate enterprises are interconnected on the time level. At the same time, when the debt ratio increases, enterprises with higher media attention will accumulate more financial risks.
Research on the Influence of Customer Perceived Value on Purchase Intention of Cultural and Creative Products
Authors: Tang Hong , Wu Shuang
Published: September 2024

The perceived value theory has a significant impact on customers’ purchase intention. This paper will take cultural and creative products as the research object, based on the structural equation model combined with the feature of cultural and creative products and taking quality value, innovation value, service value and experience value as the dependent variables, the four-dimensional conceptual model of perceived value and customer purchase intention was constructed and tested by the structural equation model to explore the intention of cultural and creative products. The results show that quality value, innovation value, service value and experience value have positive impact on customer’s purchase intention, and the perceived value has a positive impact on consumer’s purchase intention.
Application of Big Data Statistical Analysis Methods in the Field of Economic Management
Authors: Ji Jiahao
Published: September 2024

With the rapid development of information technology and the explosive growth of data volume, big data has gradually become an important tool in the field of economic management. By collecting, analyzing and processing large amounts of data, big data statistical analysis methodology can provide enterprises and researchers with effective information contained in the data, so as to more accurately predict the market development trend, assess enterprise risks, and optimize the management and operation processes. The purpose of this paper is to discuss the application of big data statistical analysis methods in the field of economic management, and to demonstrate the practical application effects of big data analysis in different economic management scenarios by analyzing specific examples - Jingdong's intelligent logistics Qinglong system, Google Oxygen Plan's organizational control and Citibank's user attraction. Thus, it highlights the prospect of the wide application of big data technology in the field of economic management and its remarkable effectiveness.
The Impact of E-Commerce Leader's Marketing Attributes on Consumer Perception in China
Authors: Liu Xinxin , Abbas Ali Prof Dr Dhakir
Published: September 2024

With the rapid development of China's e-commerce market, e-commerce leaders are playing an increasingly crucial role in a highly competitive environment. Marketing attributes, such as brand influence, customer service quality, and marketing strategies, have become key factors in shaping consumer perception. This paper aims to explore how these marketing attributes affect consumer cognition and behavior in China. By analyzing existing literature and market data, this study presents a conceptual framework that highlights how brand influence affects purchasing decisions by enhancing consumer trust; how customer service improves brand image through increased consumer satisfaction and loyalty; and how effective marketing strategies alter consumer purchase intentions through personalized recommendations and promotional activities. The paper also examines the unique characteristics of the Chinese market, such as cultural differences and market environment, and provides practical recommendations for e-commerce leaders. Finally, the paper suggests directions for future empirical research to further validate these conceptual assumptions.
Analysis of Influencing Factors of Agricultural Product Quality Safety on Supply Chain Resilience
Authors: Fang Lina , Wang Yingqi
Published: September 2024

In the context of global trade and food safety, the quality and safety of agricultural products has become a key factor affecting the stability and sustainability of agricultural supply chains. With the continuous improvement of consumers' pursuit of a healthy lifestyle and the strict requirements of national policies on the quality and safety of agricultural products, ensuring the quality and safety of agricultural products from field to table has become a top priority in supply chain management. In this context, this paper takes "Analysis of factors affecting the quality and safety of agricultural products on supply chain resilience" as the theme, and makes a systematic review of relevant literature. Firstly, through the review and analysis of relevant domestic and foreign literature, this paper deeply understands and defines the concepts of agricultural product quality safety and supply chain resilience. On this basis, the domestic and foreign literature on the quality and safety of agricultural products and supply chain toughness were reviewed. Through in-depth analysis and research of relevant literature, the conclusion of this paper is that the impact and disruption of agricultural product quality and safety will have an impact on supply chain resilience. In summary, this paper aims to reveal the important position of agricultural product quality safety in supply chain resilience through the literature review of agricultural product quality safety and supply chain resilience, and provide new perspectives and ideas for future research.
Six Sigma in the Service Industry
Authors: Wu Shuang , Tang Hong
Published: September 2024

This study sorts out the origin and development of Six Sigma management theory, elaborates on the connotation of Six Sigma and the current situation of industrial application, focuses on the application of Six Sigma in the service field, and analyzes and reviews the application of Six Sigma from the micro and practical levels. The final conclusion is that service industry companies improve service quality and efficiency by using Six Sigma methods, train employees to enhance their professional abilities, and optimize service processes under data-driven conditions to achieve financial efficiency enhancement.
Research on the Promotion Path of Regional Public Brand Empowerment
Authors: Wang Xiaoyu , Lai Sitong , Gao Yuli , Chen Gaoxiang , Chen Jiayi , Ma Yuxing
Published: September 2024

The purpose of this paper is to explore the basic role of national poverty alleviation support in rural revitalization, especially in areas such as Yongjia County, which is faced with the problems of small per capita cultivated land area, heavy business and light agriculture in the industrial pattern, and insufficient development of agricultural economic advantages. This paper points out that Yongjia County needs to carry out in-depth professional investigation and research on the empowerment and promotion of public brands to analyze the current situation and problems of the industry, and combine local characteristic culture with rural industry to provide accurate services for the local area. In this context, the ' Nan Xi Jia Pin ' Yongjia County Public Brand Empowerment Promotion Strategy is proposed. This strategy not only helps to promote Yongjia 's economic development, promote local characteristic culture, improve public brand efficiency, avoid repeated investment, but also brings learning and communication opportunities covering multiple fields for rural agricultural industries. In addition, the strategy can also strengthen cooperation and resource sharing between Yongjia and other developing villages, and show the country Yongjia 's simple cultural characteristics, ideas and models. Therefore, the development of Yongjia county public brand empowerment is urgent and important. In order to provide useful reference for the construction and development of regional public brands of agricultural products in other regions.
Measuring Stock Market Risk with Correlation
Authors: Bryan Liuboyan
Published: September 2024

In this report, we investigate the systemic risk via capturing the correlation between the individual stocks and the market. In particular, we consider eight stocks (Microsoft, Exxon Mobil, Caterpillar, Johnson& Johnson, McDonald’s, Sandisk, Qualcomm, and Procter & Gamble) and we employ the S&P 500 as the market return. We first evaluate the risk of each individual stock using different risk metrics, e.g., variance (StD), minimax range, and Sharpe Ratio. Furthermore, we employ the regression approach (or beta method) to evaluate the correlation between each individual stock return and the market return, and also compute the R2 that measures the explainability level of the market information to each individual stock return. We conclude that Caterpillar has the largest sharpe value, and McDonald’s has the largest R square value.
Research on the Impact of Multi-Agent Information Traceability on Quality and Safety of Agricultural Product Supply Chain Under Blockchain
Authors: Fang Lina , Zang Xin
Published: September 2024

With the increasing prominence of food safety problems, consumers are paying more and more attention to the quality and safety of agricultural products. Information traceability of agricultural products supply chain is an important way to ensure the quality and safety of agricultural products. Blockchain technology provides a new solution for information traceability of agricultural products supply chain with its characteristics of decentralization, immutable and transparency. This paper reviews the basic principles of blockchain technology and its application in agricultural supply chain information traceability. By combing relevant literature, it is found that blockchain technology is widely used in the production, processing, logistics and other aspects of agricultural products, effectively improving the transparency and traceability of the supply chain. Finally, it is concluded that the information traceability of agricultural product supply chain under the blockchain improves the traceability, visibility and information security of the supply chain, and also promotes the cooperation and coordination among various entities in the supply chain. With the continuous development and improvement of blockchain technology, its application in agricultural product supply chain information traceability will be more extensive and in-depth, providing more solid technical support for the quality and safety of agricultural products.
Employment Status and Countermeasures for Chinese Language Majors
Authors: Chen Shiming
Published: September 2024

This paper provides an in-depth analysis of the current employment situation of Chinese majors and puts forward corresponding countermeasures. By sorting out the employment profiles, employment fields and challenges faced by Chinese language graduates, it is found that there is a prominent contradiction between the supply and demand of Chinese language graduates, changes in the demand for vocational skills as well as a disconnect between education and actual demand. In view of these problems, this paper puts forward countermeasures and suggestions for education reform and innovation, vocational skills improvement and broadening employment channels. It is hoped that these suggestions can provide certain reference and inspiration for the educational reform of Chinese language majors and the employment of graduates.
Factors Influencing Green GDP Growth in Southeast Asia: The Role of Foreign Direct Investment, Trade Openness, and Economic Development
Authors: Zhang Weiran , Lyu Danqi , Yu Sichen
Published: September 2024

This study investigates the key factors that drive Green GDP (GGDP) growth in Southeast Asia, focusing on foreign direct investment (FDI), trade openness, economic development, urbanization, labor productivity, and financial development. Utilizing panel data from 2009 to 2019 and employing a fixed-effects model, the findings indicate that economic development, labor productivity, and financial development are significant contributors to GGDP growth. The results underscore the importance of investing in green infrastructure and improving resource efficiency. In contrast, FDI and trade openness did not show a statistically significant effect, suggesting a need for policy reforms to channel investments and trade towards environmentally friendly sectors. Urbanization had a negative impact, highlighting the environmental challenges associated with rapid urban growth, thus calling for stronger environmental regulations and green urban planning. These insights suggest that Southeast Asian countries can further enhance GGDP growth through targeted policies that promote sustainable FDI, increase labor productivity, and support financial systems conducive to green projects.
Jiangsu Guotai Spin-off Listing Motivation and Effect Analysis
Authors: Li Hongru , Mao Liang
Published: September 2024

Since 2019, the China Securities Regulatory Commission formally issued on the specific provisions of the split listing, this landmark moves not only marks China's capital market in system innovation and enterprise development strategy, also indicates the domestic enterprises through spin-off listed business focus, value release and capital efficient operation of the new era officially opened. After the announcement of the China Securities Regulatory Commission, Jiangsu Guotai started the spin-off of Ruitai New Material, and was officially listed in 2022. By studying the motivation and effect of Jiangsu Guotai's spin-off listing, this paper hopes to provide reference for other enterprises interested in joining the spin-off listing track.
Employee Satisfaction and Firm Performance: Evidence from a Company Review Website
Authors: Ma Ke
Published: September 2024

Prior research shows that employee satisfaction is positively related with firm per-formance. This study exploits employees’ reviews from Glassdoor.com as a measure of employee satisfaction and built a novel dataset which combines Glassdoor reviews with financial data from Bloomberg. The preliminary results from both OLS and IV models are consistent with prior research. More analysis needs to be done to validate the results.
Thoughts on Labor Education Courses for Finance Majors in Applied Undergraduate Universities under the OBE Concept
Authors: Li Yang
Published: September 2024

Labor education is an important means of cultivating students' comprehensive and balanced development. The Ministry of Education emphasizes the strengthening of labor education for primary, secondary and college students, which reflects that education is not only about imparting knowledge, but also a process of shaping personality and cultivating abilities. Therefore, applied undergraduate colleges and universities as institutions that cultivate applied talents, should place greater emphasis on labor education. The article explores the problems that exist within the implementation of labor education courses for finance majors in applied undergraduate universities, and attempts to seek solutions for improvement based on the development laws of the financial industry.
Research on the Application of Risk-Oriented Audit in the Inventory Audit of Liquor Enterprises —— Take A Liquor Enterprise as an Example
Authors: Qin Jiang , Qin Ping
Published: September 2024

As a representative industry of China's national culture, the liquor industry has a huge industrial chain and a high degree of industrial relevance, and occupies an important position in China's economic market. Because the inventory of liquor enterprises is closely related to its operating results, coupled with the complexity of liquor inventory and the easy manipulation of value, it is easy to have problems in the evaluation and supervision session, leading to the increase of inventory audit risk. How to efficiently assess the risk and professional judgment of the inventory value of liquor enterprises, and formulate appropriate measures, so as to reduce the inventory audit risk of liquor enterprises, is the focus of auditors. Starting from the idea of risk-oriented audit, A liquor enterprise as an example to analyze the risks in the inventory of liquor enterprises, and put forward some ideas and strategies to improve the inventory audit of liquor enterprises.
Current Situation and Countermeasures of Guzheng Teaching in Universities
Authors: Zhang Surong
Published: September 2024

The purpose of this paper is to discuss the current situation and existing problems of guzheng teaching in universities, and to put forward corresponding countermeasures and suggestions. Firstly, through analysing the background and significance of guzheng education in universities, the important position of guzheng teaching in university music education is emphasized. Then, the current situation of guzheng teaching in universities is analysed in detail, including curriculum, teaching content, teaching mode and method, teaching staff and teaching facilities and resources. On this basis, this paper reveals the problems of university guzheng teaching, such as the imperfection of the curriculum and teaching content, the lagging behind of the teaching mode and method, the uneven level of the teaching staff, and the insufficiency of teaching facilities and resources, etc. In order to improve these problems, this paper puts forward a proposal for the improvement of guzheng teaching in universities. In order to improve these problems, this paper puts forward a series of countermeasures and suggestions, including improving the curriculum and teaching content, innovating the teaching mode and method, improving the level of teachers, and strengthening the construction of teaching facilities and resources. Finally, this paper summarises the whole article and points out the importance of university guzheng teaching and the future development prospect.
The Mediating Effect of Emotion on Consumer Purchase Behavior in E-commerce Live Streaming Based on the S-O-R Model
Authors: Wang Qi , Musa Rosidah Binti
Published: September 2024

In the era of Media 3.0, brands and merchants are increasingly utilizing e-commerce live streaming as a key strategy for engaging consumers in an interactive and immersive digital environment. One critical factor in this engagement is the emotional transmission to consumers, which plays a pivotal role in influencing their participation and purchasing behavior. E-commerce live streaming presents a unique blend of real-time communication, social interaction, and commercial transactions, making it essential to understand the underlying psychological mechanisms at play. This study, grounded in the Stimulus-Organism-Response (S-O-R) model, investigates how emotional responses, triggered by stimuli such as product presentation, anchor credibility, and peer feedback, mediate the relationship between the live-streaming environment and consumer purchasing decisions. By examining the impact of both positive and negative emotions, this research aims to uncover the emotional pathways that drive consumer engagement and purchase intentions in the live streaming context. The findings not only contribute to the theoretical understanding of emotional mediation in digital commerce but also provide practical insights for enhancing live-stream marketing strategies to optimize consumer behavior outcomes.
The Influencing Factors of Influencer on Consumers' Purchase Intention in Live Marketing
Authors: Lyu Shaofeng , Musa Rosidah , Ding Xuehui
Published: September 2024

With the development of network technology, live marketing has emerged, gradually turning from entertainment live broadcasting to commodity sales, becoming the new darling of e-commerce. Its features include two-way interaction, high accuracy, low cost, rich content and wide audience. Influencers play a central role in live marketing, promoting sales through product presentation, enhanced interaction, content creation and atmosphere. This paper analyzes the influence of influencers' image, reputation, professionalism and popularity on consumers' purchase intention. The management of influencers is discussed to ensure the stability and efficiency of live marketing.
Study on the Changes in Australian Consumer Behavior in the Digital Marketing Environment
Authors: Zhou Shanshan
Published: September 2024

With the rise of emerging platforms like Temu and Shein, Australia's e-commerce market has been thriving, leading to significant shifts in the market landscape. Digital marketing, which utilizes digital media as a tool, employs consumer profiling for data collection and rational usage, analyzing users' potential attributes and summarizing their behavioral characteristics. This has become the foundation for developing marketing strategies. By using digital marketing tools and digital media, businesses can precisely target users and devise actionable marketing strategies, providing a basis for product marketing and increasing sales volumes. As a highly developed market economy, Australia's digital marketing environment is characterized by diversity and complexity. This paper aims to explore how changes in the digital marketing environment in Australia affect consumer behavior and provides insights for companies to formulate effective marketing strategies.
Population Growth Prediction Using Logistic-Based Grey Forecasting Model
Authors: Hu Qinrui
Published: September 2024

Population growth prediction is a critical task for effective policy-making and planning, impacting economic development, social stability, and resource utilization. Traditional models like the Malthusian and logistic growth models have been foundational in understanding population dynamics. However, these models have limitations, particularly in accounting for resource constraints and technological advancements. To address these limitations, this study develops and validates a logistic-based grey prediction model for population growth. The logistic-based grey prediction model integrates the logistic growth model's characteristics with grey system theory, which is designed for systems with incomplete or uncertain information. This integration enhances the model's robustness and accuracy in population forecasting. The model leverages the least squares method for parameter estimation and employs a weakening buffer operator to refine predictions. Empirical analyses using population data from various periods demonstrate the model's effectiveness and improved accuracy. The study also compares the logistic-based grey prediction model with other numerical methods, including the Taylor Series Method, Central Difference Methods, and the Leslie Model. The results indicate that the logistic-based grey prediction model provides reliable forecasts, making it a valuable tool for policymakers and researchers. The findings suggest that the logistic-based grey prediction model can better accommodate fluctuations in population data and offer more accurate long-term predictions. This contributes to more informed decision-making in demographic and economic planning, highlighting the model's practical application in real-world scenarios.
Build a Used Car Export Comprehensive Service Platform Based on Distributed Architecture
Authors: Hao Qi , Chang Wenbo , Luan Xudong , Zhang Fan
Published: September 2024

To establish an authoritative comprehensive platform for the export of used cars, this paper proposes the design and implementation of a distributed architecture for a comprehensive service platform for used car exports. Firstly, it centers around export orders to connect the entire business process. Secondly, it builds the platform based on distributed systems, distributed caching, cloud technology, and load balancing technology for used car export services. Lastly, it verifies the system's performance through metrics such as maximum concurrent users, transaction response time, throughput rate, success rate, and resource utilization. The results indicate that this system can assist used car export enterprises in completing their business operations. The platform, centered around export orders, connects the entire business process, achieving efficient data utilization, collection, and query of documentary evidence, promoting efficient business operations. It supports one-click generation of documents and certificates, and features vehicle-specific query functions, positioning the platform at a leading level in the field of used car exports.
The Implementation Basis and Value Identity of the Constitution and Constitutional Governance
Authors: Wang Zhaolun
Published: September 2024

The Constitution is at the forefront of the national legal system and has the highest legal effect. The implementation of constitutional governance is not only to visualise the values and objectives pursued by the Constitution, but also a powerful means to realise the national governance strategy. This paper discusses and analyses the constitution and constitutional governance, and comes up with some thoughts on the basis of the implementation of the constitution and constitutional governance.
Analysis of the Marketing Environment of the Cosmeceutical Industry Based on Porter's Five Forces Model and PEST Model
Authors: Li Nianzhang , Tan Ye , Guan Xiaohan , Lv Yifei
Published: September 2024

In recent years, with the continuous development of the global economy and the steady growth of per capita income, modern people's awareness of skin care has been continuously improved, and people's health awareness and recognition of medical cosmetology have been continuously improved. With the rise of consumption by a new generation of young people, the choice of light medical aesthetics has gradually become a trend.  This paper analyzes the marketing environment of the cosmeceutical industry through Porter's Five Forces Model and P EST Model, and better shows the marketing development prospects of the industry, in order to better meet the service needs of consumers and have a more eye-catching development in the new market environment.
Research on the Yuan Universe Financial Trading Platform Under Innovative Business Model
Authors: Wang Wei , Gao Huaguo , Ren Guanqiao , Luo Lichang , An Pengju , Jiang Yachen , Jiang Yachen
Published: September 2024

This paper focuses on the innovative business model and its technology application of the Yuan-Universe financial trading platform. Firstly, the global trend and competitive status of cosmic finance are discussed through market analysis. Later, the paper analyzes in depth the role of Web3.0, blockchain and AI in improving the performance of the trading platform. In the business model section, this paper discusses the profit models such as transaction withdrawal and information consulting, and evaluates their financial sustainability. In addition, the paper analyzes the potential technical and market risks of the platform and discusses the management strategies. Finally, the paper summarizes the business and technological innovation of the yuan universe financial trading platform, and prospects the future development. This study provides insights for understanding new models of financial services and provides reference for the development of fintech.
Active Learning and Reinforcement Learning for Autonomous Catalyst Design in CO2 Hydrogenation
Authors: Chen Yingru
Published: September 2024

The increasing concentration of carbon dioxide (CO2) in the atmosphere presents a significant challenge in the context of climate change, necessitating innovative strategies for greenhouse gas mitigation. CO2 hydrogenation, which converts CO2 into hydrocarbons and other valuable chemicals using hydrogen, has emerged as a promising method for addressing both carbon emissions and renewable energy production. Catalysts are crucial in enhancing the efficiency and selectivity of these reactions; however, traditional catalyst design methods often rely on laborious trial-and-error approaches, which can be inefficient and resource-intensive. This paper explores the integration of active learning and reinforcement learning as advanced methodologies for automating catalyst design specifically for CO2 hydrogenation. Active learning focuses on selecting the most informative data points to improve model predictions while minimizing experimental costs, whereas reinforcement learning optimizes decision-making processes through iterative feedback. A case study demonstrates the application of these techniques, leading to the successful identification of novel catalyst compositions that exhibit superior performance metrics. The findings highlight the potential of machine learning to revolutionize catalyst discovery, ultimately contributing to more sustainable CO2 conversion strategies.
Application Attempt of Virtual Simulation in "Smoke Control and Exhaust Engineering"
Authors: He Kaiqiang , Zhu Simin , Yang Liu , Ge Weiwei , Xie Shuaijun
Published: September 2024

In the context of information technology, virtual simulation technology has become an important component of university teaching. This paper presented an exploration of the application of virtual simulation technology in the course "Smoke Control and Exhaust Engineering". By assigning course projects, students were tasked with constructing a model of an educational building featuring an atrium structure. The dispersion of smoke post-fire in the above building was visually simulated. The fire simulation model can serve as a supplementary resource for the knowledge points of smoke spread patterns in atrium structures. They effectively overcame the challenges in reproducing architectural fire scenarios and addressed the teaching pain points of students' inadequate understanding of the key concepts. The deep integration of virtual simulation technology with the curriculum not only enhances the accessibility of knowledge points in the "Smoke Control and Exhaust Engineering" course but also motivates students to engage more actively in learning. The architectural fire scenarios built using virtual simulation methods are more in line with the requirements for applied talents at the fire and rescue institute.
Coupling effect of nano-tribology and biomechanics based on siphon phenomenon
Authors: Jia Jiabao
Published: September 2024

Nano-tribology focuses on the phenomena of friction, wear and lubrication at nano-scale, while biomechanics studies the response of objects and biomaterials under mechanical load. Through theoretical analysis, experimental operation and numerical simulation, this study comprehensively discusses the influence of siphon phenomenon on tribology and biomechanics at nanometer scale. Gold nanoparticles, silica nanoparticles and polymer nanoparticles were selected in the experiment. HeLa cells and primary cells were taken as biological samples, and the friction between nanoparticles and cells and the elastic modulus of cell membrane were quantified by using high-precision equipment such as atomic force microscope (AFM) and nano-indentation instrument. The results show that the siphon phenomenon significantly enhances the friction between nanoparticles and cell membrane under high humidity, and the increase of friction is positively correlated with the elastic modulus of cell membrane. It is found that the friction between gold nanoparticles and cells is generally higher than that between silica and polymer nanoparticles under the same humidity, which may be related to the physical and chemical properties of nanoparticles. This study not only reveals the close coupling relationship between nano-tribology and biomechanics, but also provides theoretical basis and experimental reference for the application of nano-biomedicine.