bluuebunny/crossref_metadata_2025 huggingface dataset:
Research and Solutions to Common Problems in the Workplace
Authors: Guo Jialin
Published: September 2023

This paper summarizes four common problems in the workplace through a study of the Rio Tinto workplace: sexual harassment, gender discrimination, racial discrimination, and workplace bullying. These problems not only cause personal physical and psychological distress, but also result in persistent emotional and psychological hostile treatment of employees, taking out negative emotions on people around them, customers or colleagues. This can ultimately lead to the development of disruptive behavior in the workplace, further impacting company effectiveness. In the next part of the article, this paper proposes solutions to the above problems. Specifically, it is not only the individual level that needs to make corresponding efforts to prevent suffering from similar unfair phenomena, but also the state, society and workplace need to make corresponding efforts to improve the workplace environment and further enhance the productivity of companies and the work experience of employees.
Weighting Analysis of a Fund Portfolio of China's New Energy Vehicle Stocks
Authors: Ye Xinxin , Qin Jin , Lin Jiayue , Yin Ziheng
Published: September 2023

We studied the optimal weighting allocation for a portfolio of stocks in China's new energy vehicle industry, using data on circulation market value, price-to-earnings ratio P/E, growth of net profit after deductions, and institutional position share of the new energy industry for the three years 2019-2021. The return was also considered from the above four dimensions. Combining the above four dimensions, a better model for determining the weight of the new energy vehicle stock portfolio is obtained.
Studies of the relationship between international crude oil prices and stock prices of new energy companies and investor sentiment
Authors: Jia Yuguang , Zou Yushan , Li Yixuan , Jiang Chenrui , Zhong Haohua , Liu Yuehe
Published: September 2023

This paper uses the daily data of the CSI Mainland New Energy Index, WTI crude oil price, and CSI 500 risk premium from January 2019 to September 2022 as samples to explore the interrelationship of the above variables using the Johansen cointegration test, Granger causality test, impulse response, and variance decomposition. The results show that in the short run, international crude oil price and risk premium have a significant effect on the share price of new energy companies; in the long run, global crude oil price cannot affect the share price of new energy companies, as well as international crude oil price and share price of new energy companies have a significant effect on the risk premium.
Analyze of the supply chain management advantages of Tesla and the impact of the epidemic
Authors: Lv Leyan , Zhu Chenting , Chen Xuanyu , Lin Yifeng , Ma Tianwei
Published: September 2023

In contemporary society, where the energy crisis is becoming more and more serious, the energy transition of automobiles is imminent. By studying the background of Tesla, its production strategy, battery technology, supply chain, marketing network, and operation mode under the epidemic, combined with the comparison of traditional car companies, this paper hopes to provide relevant suggestions and improvement methods to the energy transition of traditional car companies, which can make the electric vehicle industry develop more rapidly.
Comparative Analysis of Real Estate Financial Model: Evidence from Vanke and Evergrande
Authors: Ren Yuxin , Shan Zeqing , Sun Jiawei
Published: September 2023

Contemporarily, the impact of the real estate industry on the overall economy is particularly prominent. However, the financing mode and financial structure of the real estate enterprises are still lack of summary and scientific analysis. Therefore, through the difference analysis of the financing mode and financial statement of Vanke and Evergrande, this study summarizes the financial mode that is more conducive to the booming of the real estate enterprises. In this paper, we collect the financial statement and enterprise investment data of Vanke and Evergrande, carry out difference analysis, visualization, and trend analysis on the data, as well as compare and explore the different financial models of them. Enterprises should pay attention to the proportion of long-term debt in total corporate debt to avoid causing excessive capital flow pressure. The management of enterprise leverage and risk assets is crucial to the long-term development. A healthy enterprise cannot develop without the correct use and scientific management of loans and risk assets. They should focus on the rationality of short-term loans, effectively mitigate the pressure of debt repayment. The real estate financial model proposed here is a summary from Vanke and Evergrande, which is not a universal financial model. These results shed light on guiding further exploration of the rational financial models in the real estate enterprises.
Impact of COVID-19 on the Supply Chain of Small and Medium Enterprises: Case Studies on Food, Manufacturing and Hospitality Industries
Authors: Ge Yuxuan
Published: September 2023

The constant flux in the supply chain has intruded on the demand and supply equilibrium throughout the globe. Firms that elongated the operation period have to pursue changes in suppliers to respond to the tumultuous trading environment due to the COVID-19 pandemic. This paper aims to develop a framework for supply chain disruption for different small and medium enterprises (SMEs) in the Food, Manufacturing, and Hospitality industries. SMEs are susceptible to fluctuant economic change since the change puts an enormous threat to the sustainability of SMEs. Therefore, strategic foresight is crucial for SMEs to be competitive in the market. In this paper, rationalization and digital transformation are chosen as potential measures to conquer the unsettled economic environment. Reformation and innovation in SMEs could provide opportunities to maintain the firms long-term healthy operation. This study can help SMEs comprehend the importance of modern strategies and survive during the outbreak of COVID-19.
The Application of Soft Law in We Media Governance
Authors: Yang Yuxin
Published: September 2023

The we media is in a dilemma of management under the influence of online rumors, vulgar pornography and false propaganda. In such a situation, soft law provides a practical way to manage the disorder of news media. This paper focuses on the application of soft law in the governance of we media through literature review, and provides a practical way with soft law through the latest achievements of soft law in current legal profession, as well as comprehensive analysis of the situation of China's we media industry.
Different Cultures of Online Shopping Modalities: How Emerging Economic Modalities Shape Contemporary Society
Authors: Chen Yani , Zhang Runqi , Yi Jinwen , Lu Yuming , Shi Chengyu
Published: September 2023

The emergence of economic modalities shapes different cultural societies by increasing platform economy in which consumers form different consumer behaviors between China and the United States. The previous study explained that U.S. consumers are resistant to online shopping due to privacy concerns. Previous research has studied the issue by interviewing U.S. consumers and by giving data for both China and U.S., and there are no possible solutions for this issue. Our study uses qualitative research to find databases between two countries and analyze consumer behavior differences. Our finding indicates that the unpopularity of the U.S. platform economy is because of the lack of a star economy, strong consumer rationality, and low level of vulnerability to the image. As opposed to previous assumptions, our study suggests adding diversified goods to the platform, offering appealing titles, and building convenient online consumption methods in order to make U.S. online shopping popular.
The Implementation and Refinement of Range Breakout Strategy in Chinese Commodity Market
Authors: Deng Ruihan , Wang Jiayi , Dong Hanyang , Lo Wantung , Dong Haolin
Published: September 2023

The range breakout strategy is a momentum strategy that involves taking a long position in a security when its price exceeds a predetermined range and a short position when the price falls below the range. Previous research has indicated that this strategy is well-suited to the price volatility patterns observed in commodity markets. Considering the significant expansion and di-versification of China's commodity market in recent years, we decided to apply the range breakout strategy to China's commodity futures market and assess its feasibility and profitability. Our research utilized historical performance data from the Zhengzhou Commodity Exchange and Shanghai Future Exchange between September 1, 2012, and July 31, 2022, obtained from CSMR as our database. We focused on the top 27 most liquid commodity futures categories to construct our back-testing portfolio. Our approach centered around using volatility as the basis for entry signals in the range breakout strategy and signal weighting as a portfolio construction method. The results demonstrate that the range breakout strategy, based on volatility, is highly effective in China's commodity futures market. This research con-tributes to the enrichment of optimization strategies in China's Future Market. Furthermore, we explored the use of cross-commodity hedging and the Average True Range (ATR) indicator to further enhance the strategy. Although no practical improvements were discovered beyond the original strategy, this exploration offers valuable insights for future research.
The Differences in Accounting Quality between Chinese Companies and American Companies Listed in the United States
Authors: Wang Jiawen , Lin Yeqian , Liu Yangxuan , Zhang Fan , Li Youlan
Published: September 2023

This research paper investigates the difference between Chinese listed companies in the US and US companies regarding the quality of accounting information from companies annual reports. After a careful review of literature, researchers decided to apply classic M-score model for information processing and one sample t-test to determine the relationship between accounting quality and the country of the company. There are two hypotheses, and the first one is that the difference between the mean M-score of U.S. listed Chinese companies and the mean M-score of U.S. companies is not significant. The second one is the difference between the mean M-score of U.S. listed Chinese companies, and the mean M-score of U.S. companies is significant. This research result turned out to support the first hypothesis, indicating that the difference between the accounting qualities of the two types of companies is not significant.
Advertising in the Metaverse
Authors: Li Jiani
Published: September 2023

As the metaverse grows, leading businesses are already searching the metaverse for potential advertising partners. This article explores whether advertising in the real world can be directly applied to the metaverse. Through the method of literature review, this article summarizes some extant readings and proposes that with the characteristics of decentralization, shared environment, and immersion in the metaverse, advertising will be different from the real world. Moreover, the challenges and problems that brands will face are also raised. This article provides a reference on advertising strategies for brands who want to enter the metaverse, and also lays the groundwork for further in-depth research.
Research on Enterprise Supply Chain Management --- Taking Apple as an Example
Authors: Sun Hongzhou
Published: September 2023

The term supply chain management first appeared in the logistics literature in the mid-1980s. The goal of so-called supply chain management is to plan, implement and control in order to reduce production costs and improve production efficiency. This paper aims to analyze enterprise supply chain management. The supply chain involves most of the products in our lives. The paper starts by presenting an overview of supply chain and the importance of it. This paper chooses Apple as an example to analyze supply chain management. Apple is the world's leading high-tech company, which can offer me some experience. The supply chain was not pioneered by Apple, but they do a good job. In the supply chain, part of the enterprise's business is external, which reduces costs and improves production efficiency. Apple is consumer-oriented. Some businesses are external and so on, which makes it a win-win situation for him and his partners. But there are also some problems in Apple's supply chain management, such as excessive exploitation of downstream suppliers and neglect of employee rights and interests. Then this paper discusses how they make changes in order to improve supply management. Finally, we summarize how to effectively manage supply chains in businesses. Apple needs to pay attention to the low-end market, strengthen the supervision of suppliers, reduce the exploitation of suppliers, and truly protect the rights and interests of those suppliers' employees. In addition, it should shorten and optimize the supply chain to make the company's operations more stable.
Analysis of Trade Competitiveness and Complementarity Between China and RCEP Members
Authors: Ren Zhiying
Published: September 2023

This paper makes an in-depth analysis of the development of international trade between China and RCEP members and calculates indexes of different dimensions to discuss the competitiveness and complementarity of trade. The results show that the trade structure between China and RCEP members is gradually changing, and the structure of export trade is constantly optimizing. The export structure of China is comparable to that of other RCEP members, among which capital-intensive and technology-intensive products have the most significant similarity, and trade competition is fierce. China's interdependence with other members is deep and growing. China's trade with the other 14 countries is, on the whole, a competitive and complementary relationship. The signing of the RCEP has brought many opportunities for China as well as many challenges. The research in this paper expands and enriches the research on the potential effect of China's participation in RCEP and provides a reference for the future development direction of China's commodity trade in the context of economic globalization.
Investigation on the Factors Influencing Stock Prices
Authors: Bai Ziqing
Published: September 2023

This article focuses on the impact of financial data of some companies that can be found from financial websites n the company's stock price. This is because investors always lack trust in financial analysts because they are suspicious of their motives. Therefore, this article discusses the impact of some financial data on stock prices in addition to the traditional models such as dividends, ROE and other factors. For example, profit, solvency, forward P/E ratio, etc. The intention is to help external investors to judge the change of stock price more accurately by using basic financial data. This will ensure their interest as much as possible.
REITs Analysis of Industrial ParksTake CCB Zhongguancun Industrial Park REIT for Example
Authors: Wang Shuyu
Published: September 2023

In 2021, China's public offering infrastructure REITs officially set sail. The 21 public offering REITs products and projects that have been issued have excellent qualifications and are popular among institutional and individual investors, laying a solid foundation for the healthy development of the subsequent REITs market. Industrial parks usually have the advantages of clear property rights, stable income and value-added potential, and are an important part of the infrastructure REITs pilot. This paper reviews the market performance and typical characteristics of industrial park REITs since establishment, and, on this basis, analyzes the valuation methods applicable to industrial park REITs. Taking CCB Zhongguancun REIT as an example, starting from the location and operating status of the underlying assets and through the fundamental comparison of similar projects and P/FFO valuation, the research concluded that the market valuation of the project was at a high level in the industry and reached the average valuation level of industrial REITs in the United States, the good operating performance supported its market valuation. Finally, the future growth potential, operation management, and investment prospects of the industrial park REITs are prospected.
Development and Protection of Internet Finance in the Era of Big Data
Authors: Li Jin
Published: September 2023

Starting from 2016, big data is widely used. The world has also entered the era of big data. Internet finance is also a topic that has received a lot of attention in recent years. Together with the arrival of COVID, Internet finance is developing rapidly. Internet finance will become more of a big trend in the future. People primarily use third-party payment, online lending, direct fund sales, crowdfunding, online insurance, banking, and other similar services. At the same time, Internet finance also brings more new opportunities to the financial sector, but the new opportunities and innovations also bring some risk factors. Starting from the current situation of Internet and big data, the article finds that how to control financial risk and credit risk is a problem that needs to be addressed vigorously nowadays. Developing a good personal credit system is also a practical action that needs to be put in place. Through SWOT analysis and questionnaire, we analyze the public perception of the Internet and the credit risks in the development of Internet financial innovation, from which we can provide solutions to improve the regulatory power, thus promoting the safe and efficient development of Internet finance. In addition, through literature view, we analyze how to enhance people's privacy and the credibility of Internet finance.
Digital Transformation and Innovation Strategies for Traditional Retail Stores
Authors: Du Shenglin
Published: September 2023

Due to the global pandemic and world economy recession, the passenger flow of the retail industry is still relatively weak. Many countries have strengthened measures to prevent and control the epidemic, and then temporarily closed their stores. This reminds businesses that COVID-19 is still an ongoing challenge. This paper aims to identify the possible digital solutions for traditional offline retail stores to embrace digital innovation to become more smart and efficient. This research theme is to explore the feasibility of introducing a digitized business model into traditional retail stores using JD sports as the case. Business Model Canvas is used to identify the existing business model of JD retail shops, while Innovation Ambition Matrix is designed for making the innovation plan. The latest business model is presented with the help of the Customer Journey Map. By implementing the model, JD's traditional retail shop will reduce labour costs and increase operational efficiency, strengthening its competitive advantages.
Research on High Pricing Smartphone
Authors: Peng Junqing
Published: September 2023

Since the introduction of the iPhone X, we have seen more and more phones that are priced at about $1000, and some of them are priced at about $2000. However, are these phones too expensive for most people? Many people do not want to buy these phones because, in some places around the world, people think these phones are too expensive. In addition, what benefits do the companies get when they price these phones this way? Thus, we can take Apple as an example. By evaluating the financial report from Apple, this paper aims to find out whether or not this kind of strategy is successful. Then, it suffices to show that by increasing the products' prices, the products' profits also increase. Thus, this strategy can be very successful since Apple has become the company with the highest market value. In addition, since the cost of production has increased dramatically, Apple needs high prices to keep the revenue stable. In some cases, these phones may not be overpriced.
Research on the Factors that Affect Demand and the Effects of Changes in Demand on Prices
Authors: Wu Qiyao
Published: September 2023

Demand theory is one of the major fundamental and important theories of economics. It explores the relationship between consumer demand and price. Consumer demand is influenced by a variety of factors, which leads to different price changes that affect the entire social economic changes. Through a literature review, this article explores the analysis of demand theory and the three factors that influence demand, income, relevant markets and advertising. The article points out that willingness to pay and utility theory can be used to understand demand theory, and this research also analyzes the impact of income, relevant products, and advertisement on demand.
The Arbitrage Outcome in the Triangular and Quadrangular Arbitrage Paths
Authors: Lyu Wenyang
Published: September 2023

For a long time, both nationally and internationally, RMB hedging has been a contentious issue. The study and analysis of triangle and quadrilateral hedging in 30 countries are the focus of this article. In addition, they are classified into three groups: industrialized nations, developing countries, and backward countries, with the 30 countries that were chosen falling into each category. On the other hand, triangular arbitrage is an arbitrage that benefits from cross-exchange rate price movements. In contrast, quadrilateral arbitrage follows in the footsteps of those above but involves going via two more countries. Moreover, the data analysis for triangular and quadrangle arbitrage uses the total average, average, maximum, and minimum of favorable spreads, per the study below. From all of this, it could be seen that square hedging frequently has a broader spread or more losses, while triangular hedging frequently has a narrower spread.
The Economic Impact of Aging on Chinas Public Health: A Short-term Perspective
Authors: Ren Mengningzi
Published: September 2023

In today's world, the aging of the population is an absolute trend. The aging of the population is the result of the improvement of the medical level, the decline of the birth rate and the extension of the life expectancy. China is experiencing the largest and fastest population aging process in the world. Population aging has brought huge challenges to the stable operation of China's medical insurance system and put pressure on the Chinese government's fiscal expenditure. This paper constructs a VAR model on population aging, medical insurance expenditure and GDP growth, find that past data have shown that GDP growth and medical insurance expenditure have adverse reactions to the intensification of population aging. In the prediction of the future, the further deepening of population aging will bring challenges to China's economic growth and government finance. Chinese government should adjust the policy on medical insurance expenditure to solve the problem caused by deeper aging, to promote the sustainable development of China's medical insurance.
Research on Digital Transformation in the Insurance Industry
Authors: Wang Wenxiao
Published: September 2023

In recent years, the global digital economy has flourished, and the industry disruption and opportunities brought by digital technology innovation have made digital transformation a common strategic choice for all countries. If the application of new technologies in the insurance industry in the past mainly focused on the cloudization of the underlying IT infrastructure and the Internetization of the upper layer of insurance sales, the digital transformation of the insurance industry today focuses more on the application of new technologies such as big data, artificial intelligence, and the Internet of Things to promote the innovation of insurance products and the optimization of business processes. Through the analysis of the traditional insurance industry and the different demands brought by different times, this paper intends to explore the way forward for the insurance industry in the era of digital economy, where digital transformation has become an inevitable trend in the development of China's insurance industry.
M-score and F-score from the Financial Statement for Company Fraud Prediction
Authors: Xu Hanyu , Shi Wenqi , Xia Jingyu , Liu Manchao
Published: September 2023

This paper investigates the circumstances where M-score and F-score are predicted to find out company fraud from financial statement. The first part goes over the background information for company fraud by answering three questions. The second part introduces the important parameters cited in the research and calculation. The third part shows the result by providing charts and analysis. The last part summarizes this paper. The importance of these two scores is hypothesized to increase the public ability to be conscious of company fraud from hidden data and false statements. However, under specific circumstances, M-score and F-score are not reliable reflections of other parameters like net income and accruals. The results of the data analysis are consistent with our prediction. This work shows the importance of individual thinking as a result does not agree with the accuracy of the model. One of the most significant creative thoughts in this work is about how to break through the traditional blind faith in established model when the result does not follow the standards.
Financial Analysis on United Airlines, Inc.
Authors: Wang Yifan
Published: September 2023

This paper first introduces the general background because the epidemic has affected many industries and the aviation industry has been greatly affected. The second is to introduce the development history and main business of United Airlines, as well as the recent events of United Airlines. Through the financial reports of United Airlines in the three years before and after the epidemic, the income and expenditure of United Airlines' economic situation were analyzed. The calculated financial ratios are also used to evaluate and forecast the performance of United Airlines (three competitors have been compared). Finally, all the data are analyzed and summarized, and strategies (changing the layoff strategy and strengthening the ESG strategy) and suggestions (strengthening the awareness of corporate culture) are put forward to United Airlines to gain greater advantages in the future competition, so as to seize a new market and respond to the post-epidemic era.
Financial Innovation and Financial Risk
Authors: Jian Zhengzhao
Published: September 2023

The market economy has made new progress and development, and the development of the financial industry has gradually become internationalized. To occupy an important position in the fierce competition of the financial market and win more voice, Reform, and innovation are the development direction of financial enterprises in the future Financial innovation is a continuous reform of the financial system and its connotation, with innovations in financial technology and institutional innovation. Innovation represents a break from the norm, a change in the previous mode of financial supervision, the scope of financial activities, and the structure of financial products, but this inevitably. Although Financial innovation can eliminate some of the hidden financial risks, financial risks have not completely disappeared, so financial innovation is not omnipotent and still has great limitations. This article analyses the relationship between financial innovation and financial risk, as well as the characteristics of financial innovation, and provides feasible suggestions from various perspectives.
Income Inequality and Political Polarization in the USA
Authors: Ni Zhecheng
Published: September 2023

This paper focuses on the relationship and interaction of income inequality and two dimensions of political polarization in the USA after 2000. It turns out that: first, political polarization of USA presidents has a negative relationship with income inequality; second, states with higher income inequality prefer to vote for the Democratic Party; third, income inequality of conditions dramatically varies based on regional differences. This work can contribute to the research on income inequality and partisanship in the USA and provide the latest situation in the 2020 Election.
Status and Regulation of the Fintech Industry
Authors: Luo Pengyu
Published: September 2023

Fintech is the cross product of the financial industry and the technology industry. With the development of society, financial digitization and technology finance have become the development trend. Electronic payment, p2p lending, Robo-Advisor and block chain technology four industries have formed a scale. The current fintech industry has become an important supplement to the economic system. However, due to the short development time, there are still challenges such as high risk points and difficult supervision. Based on the existing industrial scale and business capacity, the continuous integration of fintech industry and society has become a future trend. In the long run, fintech enterprises should give full play to their advantages in technology reserve, optimize and improve products, maintain industry self-discipline and reduce risks. The society and the government also need to keep objective and inclusive, increase talent reserve and industry support, maintain active supervision, promote the establishment of relevant laws and regulations, and maintain a good industry ecology.
Market Efficiency in the UK Emerging Financial Markets
Authors: Zhou Yijia
Published: September 2023

The UK financial market system is huge, more clearly divided and more functional. Under the impact of the world financial innovation trend and the increasing competition in the international financial market, the UK financial market has made quite bold financial innovations. The internationalization trend of the UK's emerging financial market, capital market and London foreign exchange market are all strengthening. The efficiency of financial markets has a significant impact on the effective functioning of financial markets and thus on the efficiency of real economic operations. Market efficiency is influenced by a variety of factors. This paper examines market efficiency in detail from the perspectives of resource allocation theory, incomplete information theory, institutional economics theory and behavioral economics theory, and concludes that market efficiency is the result of a combination of factors such as resource allocation, and information, economic behavior. According to the efficient market hypothesis, investment decisions are largely determined by market efficiency. However, even the most developed financial markets in the world today are hardly guaranteed to conform to the perfect competition hypothesis. In summary, the study of market efficiency issues has far-reaching practical implications for the UK emerging financial markets in the transition period.
Predicting Stock Prices Using Markov Chain: The Stock Price Forecast based on Shanghai Securities
Authors: Gu Langyu , Zeng Kerui
Published: September 2023

This study investigates and predicts the stock price of Shanghai Securities. Our analysis lemma the C-K equationn step transition to predict the stock price of Shanghai Securities. In this paper, we have put our model into different stocks in reality to test its feasibility. Finally, we envisaged the probable scope for this approach and listed some shortages of using Markov chain in predicting stock price. A great discovery in this page is that utilizing the stock's Markov property; we concluded that Shanghai Securities is martensitic. Also, we have proved the economic benefit of this numerical model.
Technology Enables Sustainable Development: Family Business Succession under Digital Transformation
Authors: Cheng Haoyu
Published: September 2023

In the dual context of digital transformation and intergenerational inheritance of family enterprises, digital transformation, balanced intergenerational inheritance and de-familization model will jointly contribute to the performance of family enterprises. This paper takes Chinese A-share-listed family enterprises as the research objective. Stata17.0 statistical software is used to describe and regress the data of family enterprises in the fiscal years from 2015 to 2020. The results show that digital transformation has a negative impact on the performance of family enterprises, but the balance between intergenerational inheritance and de-familization will have a positive impact on the performance of family enterprises.
Can Higher Salary Cap Bring the Team a Trophy? -The Correlation Between Player Salary Expense and Teams Ranking
Authors: Zeng Jiateng , Wu Chengting , Ge Ryan , Tang Zhe
Published: September 2023

This paper investigates the impact of a team's salary cap on its end-of-season standing. This study made use of data from the Spanish Soccer League (La Liga) and the National Football League (NFL). Four consecutive seasons of correlation and regression analyses were conducted for both leagues to determine the relationship between these two variables. The analysis revealed that in La Liga, a higher salary cap will result in a higher team ranking. However, no correlation between salary caps and NFL team rankings has been found. The root cause for the inconsistent results may be that the disparity in salary cap between NFL teams is insufficient to have an actual impact on team performance. This research is valuable in informing the club manager whether accumulating expensive players to buy the trophy is a feasible strategy.
Research on the Influencing Factors and Prediction of Housing Prices Based on Regression Analysis --- Taking California as an Example
Authors: Zhang Kunlong
Published: September 2023

A house is a necessity for everyone's life. But in today's world, with the continuous reduction of land area, the continuous increase of population, and the continuous maturity of the real estate industry, people have to consider more carefully what factors are the most important in the house. Based on the background of housing prices in California, this paper uses linear regression, random forest and principal component analysis to determine which variables have the greatest impact on housing prices. The reason for using three methods is to obtain more accurate results. According to the results, linear regression shows that income is the most relevant variable to housing prices. Random Forest shows an R square of 75.7%, meaning the predictions fit the data fairly well. Principal component analysis also shows that income is the most important variable. At the same time, house prices will be predicted based on the data obtained, which is about 116598.48588. Some suggestions for those who want to buy a house - which factors of the house are more important. Second, this article will also analyse how to face the rising housing prices.
Analyze the Development Trend and Influencing Factors of the Electric Vehicle Battery Market from New Energy Raw Materials
Authors: Liu Yiwen , Tang Ziyou , Sang Erji
Published: September 2023

New energy vehicle is a very popular item in China in recent years, and the battery is the biggest difference between new energy vehicles and fuel vehicles. This work started from the market of raw materials and collected a lot of price data of raw materials of new energy vehicles, especially the battery part. In addition, this work involves the national policy and measures for electric vehicles and the mechanism of product pricing by companies. After obtaining this information, Tesla's price data are used as an example and a statistical gray model is used to build a mathematical model to make up for some of the data deficiencies. After that, this work analyzed the impact of price, policy measures, companies, and market mechanisms on EV battery prices. Through the model, this work roughly predicts the future trend of electric vehicle development.
Impact of Influencer Marketing on Consumer Purchase Intention: Effect of Word of Mouth, Opinion Leadership
Authors: Chu Chu
Published: September 2023

As the smartphone and internet become a more significant part of peoples daily lives, social media has become a more substantial part of peoples lives. With these circumstances, influencer marketing is considered a new marketing strategy and reflects the trends that this new marketing strategy has gradually taken over the importance of traditional marketing strategy. Although influencer marketing is regarded as a new field, many studies already focus on this field. This essay will focus on two aspects of influencer marketing and analyze how consumer purchase intention has changed.
The Influence of Product Recommendation Mechanism on Users in Marketing
Authors: Xu Yue
Published: September 2023

In today's era, the rapid development of e-commerce has led to the explosive growth of various product information on shopping websites. Many consumers have also fallen into the dilemma of choosing products recommended on Taobao's home page. How to help consumers eliminate other information interference and effectively select products that meet their personal preferences is an urgent problem for shopping websites to study and solve; this study explores the impact of product recommendation mechanisms on users in marketing, taking cosmetics as an example. This paper first reviews the relevant research literature on Taobao home page recommendations and consumer purchase behaviour and summarizes the characteristics of Taobao home page recommendations as information layout, recommendation strength, recommendation method, interactivity, and security; Then, based on the rational behaviour theory, combined with the planned behaviour theory, the research model of this paper is constructed. Use SPSS21.0 software to analyse the collected adequate data. Through the analysis of the research conclusions, summarize the impact of the Taobao homepage recommendation mechanism on consumers' purchasing behaviour of cosmetics, and propose optimization strategies for the recommendation features of the Taobao homepage recommendation mechanism.
Research Progress On Precise Marketing Strategies for Different Customer Groups based on Mobile Banking Data in the Banking Industry
Authors: Xie Han
Published: September 2023

For precise marketing, this article takes the existing payment method data of a bank's mobile banking as the research object, analyses the current situation of mobile banking, and sums up the basic information of customers who currently use mobile banking. Then the basic information of customers is subdivided into customer groups by gender, age, bank product holdings, and payment means to study the use of mobile banking. Through the research on the customers' holding bank products and payment at the current stage, put forward marketing strategy optimization suggestions. First, improve the convenience of using mobile banking, enrich product functions, and create unique mobile banking; Second, in terms of channel strategy, strengthen cooperation with third parties to improve the convenience of channels; Then, in terms of a promotion strategy, it is mainly recommended to adopt record precision marketing based on customer's common bank products; Finally, in terms of process strategy, establish marketing service standards and tracking feedback mechanism.
Targeted Advertising Placement in Video Platforms: Implications for Business Profitability
Authors: Zhu Zihan , Zhao Xinyue
Published: September 2023

Advertising is an important tool used to deliver commercial messages with a strong economic purpose. With the development of online information, more and more companies or advertisers choose to advertise on large video platforms. However, the ambiguity of advertising positioning has led to a low tolerance of the audience population to the advertisements placed on video platforms. "Targeted advertising" and "precision marketing" have always been commercial buzzwords, and targeted advertising is one of the marketing strategies of precision marketing. In this paper, we explore the attitudes and preferences of different groups of people in terms of ad appearance, ad type and ad content, as well as the differences and connections between public service ads and commercial ads, using a large video platform in mainland China as a background. Among them, it is found that for the group of company employees, they prefer food-based ads, which is quite different from what is expected. For companies, placing more precisely targeted ads is conducive to positive communication in the bilateral market.
An Ingenious Study on the CPTPP's Governance of Cross-Border Data Flows
Authors: Shan Wenxin
Published: September 2023

Obviously, due to the continuous development of Internet technology, transnational data flows brought about by e-commerce and other Internet enterprises have become the target of various countries' attention and searches for new governance solutions. By studying numerous laws and regulations, international treaties and related literature, this paper examines the differences between the traditional European and American governance systems for cross-border data flows and the high-standard regional trade agreements represented by the CPTPP in a comparative manner. The comparative study concludes that international treaties such as the CPTPP focus more on and takes into account the realities of developing countries than Europe and the United States, while the European and American systems are more inclined to dominate the content of international inter-treaties based on their own ideas.
Empirical Test of CAPM Model in Stock Market
Authors: Li Tianle
Published: September 2023

The rapid development of the economy has brought about the continuous accumulation of personal assets, and at the same time, the concept of financial management is rapidly budding and spreading. People's rapidly expanding consumer desire makes stocks, funds, and other products more appealing, leading them to prefer the financial route. However, stocks and funds need investors to bear certain risks, generally speaking, the greater the risk, the more lucrative the investment returns. The CAPM model was born for this reason, and its main content is the relationship between yield and risk and equilibrium pricing. The application of the CAPM model in the stock market has always been the focus of attention. As a core part of the stock market, the banking sector has an inseparable relationship with finance. Therefore, this paper selects eight stocks of banks with long listed times and top market capitalization rankings, conducts empirical analysis on their trading data from 2018 to 2021, and employs the time series detection method to test whether the single factor CAPM model is effective in the Chinese stock market.
The Influence of Social Network Sites on Consumer Psychology --- A study on Bilibili Users
Authors: Niu Tianjun
Published: September 2023

This paper aims to explore the influence of social network sites (SNSs) on consumer psychology, focusing on Bilibili users. Nowadays, technology giant companies continuously developed SNSs, whether they are applications or social media websites. They have made a huge difference in peoples normal lives, especially those teenage users. However, these constant changes are having a significant effect on peoples consumption behavior---how they think when it comes to purchasing or how they would react when facing a brand-new product. These effects are what the paper mainly focuses on to research. To achieve this goal, a survey was conducted on a sample of 100 users of Bilibili. The survey results were analyzed to determine the influence of SNSs on consumer psychology. The results showed that Bilibili users were affected by SNSs in terms of their social media consumption behavior, attitude toward consumption, and consumption motivation. It was also found that the influence varied with different types of users and different types of consumption activities. The findings of this study provide useful insights into the relationship between SNSs and consumer psychology. Besides, it also suggests that SNS can be used as an effective tool for marketers to influence consumer behavior and attitudes to promote goods.
The Influence of BTS on the Expansion of Its Affiliated Company
Authors: Chen Siyu
Published: September 2023

There are many articles related to the Korean entertainment industry, but there are very few descriptions and analyses of individual groups or artists. Therefore, the research topic of this paper is the influence of BTS on the expansion of its affiliated company. This paper examines the impact of BTS on the company from three perspectives: the impact of BTS on the company's profitability, the company's popularity, and the company's strategic direction. Bighit has gone from being on the brink of bankruptcy to being one of the top four entertainment companies, and it's a credit to BTS. In 2016 BTS released the album The Most Beautiful Moment in Life which made Bighit's first turnaround, and the company's name gradually began to be known to the public and received its first investment, which Bighit also relied on to get out of trouble, and in 2018 BTS released the album Love Yourself, which once again caused a sensation and started its concert tour. BTSs high popularity could lead to good popularity for new groups to be launched in the future; the success of BTS in the US and Korea also led HYBE (Original Bighit Entertainment) to focus on these markets and to launch groups such as TXT for the Korean market. Therefore, it is found that BTS has a significant impact on the expansion of the company in terms of company size, market share, company popularity, acquisition, and strategic markets.
Design and Incentives of Equity Incentives in Chinese SOEs in Response to Environmental Uncertainty -- Case study of Hikvision based on grounded theory
Authors: Luo Minsheng , Zu Zeyu , Li Yufei
Published: September 2023

High-tech companies are the most affected by restrictions on their ability to innovate. As the epitome of high-tech enterprise development in China, Hikvision actively explores and boldly innovates the equity incentive method and is always adapting to cope with internal and external environmental instability. This paper analyzes and compares the first four equity incentives based on the uncertainty factors and motivations of the internal and ex-ternal environment of the enterprise, takes this as the starting point, starts from the environmental motivations, and according to the constructively-rooted theory proposed by Glaser and Strauss, carries out programmed coding for the three dimensions of environmental factors, equity incentive plan selection and overall enterprise value enhancement. In this paper, we investigate the rationality of Hikvision's equity incentive policy setting, evaluate the effectiveness of the equity incentive policy, and predict the likelihood of equity lock-up under future environmental trends through tools such as excess return and return on equity. Based on the advantages and disadvantages, this paper puts forward the improvement of the equity incentive policy already implemented, and puts forward the universal suggestions on the application of equity incentive to deal with the environmental uncertainty, and establishes the equity incentive model for enterprises to deal with the uncertain environment to help enterprises make better management decisions.