bluuebunny/crossref_metadata_2025 huggingface dataset:
The Impact of COVID-19 Vaccination on Countries' Economic Recovery: Taking the OECD as an Example
Authors: Tan Yunjian
Published: March 2023

In 2019, the worldwide health system was significantly impacted by the COVID-19 pandemic which caused a chain reaction to all aspects of society. The epidemic has raised concerns about the upcoming economic crisis and recession. Despite public choice, budget constraints and many other factors, the formation of social immune barriers through mass vaccination is still one of the most effective measures to prevent and control the epidemic. Taking countries in Organization for Economic Co-operation and Development (OECD) for example, this paper aims to explore the relationship between vaccination rate and national economic growth. In 2020, almost all major economies in the world will have negative GDP growth. After countries took strict prevention and control measures and financial remedies, the economy began to improve. Using Difference-in-Difference (DID) method, qualitative and quantitative research helps us intuitively understand the impact of vaccination on national economic, and the regression results confirm the positive effect of vaccines on economic recovery. This conclusion provides some theoretical support for the policies of countries to promote COVID-19 vaccination.
Analysis of Venezuela’s Government Action against Hyperinflation
Authors: Xie Yu
Published: March 2023

During these years, Venezuela had the longest hyperinflation in history. Government debt rises as a result of both higher social benefits and falling oil prices. As a result of the government's massive liabilities, the government decides to create additional money, which causes hyperinflation. Thus, this paper discusses the three main Venezuelan government actions and their effect. The research shows that both price control and creating new currency did not result in a decrease in hyperinflation. The fixed exchange rate can decrease a small amount of inflation. However, it costs the government a large amount of money to sustain. In short, Venezuela can benefit from using other countries’ currencies and changing to its own currency when its economic condition is stable. Furthermore, current economic conditions are beneficial to Venezuela’s oil industry. Since US restrictions are no longer in place, Venezuela is free to pay back its debt and swiftly modify its own economic structure in order to bring its inflation rate to the target range. This study will help the government and related industries better understand how to create effective public policy.
Macroeconomic Impact of U.S Infrastructure Investment or Lack of Investment
Authors: Geng Jiayi , Tao Chikai , Zhang Lingyi
Published: March 2023

Now the infrastructure in the United States is beginning to age and damage, and it has begun to affect people's daily lives and the country's economy. These issues have become issues that the U.S. government needs to take seriously, so this study was born. This paper mainly conducts analysis and research through the analysis of the case and the report of the official data. The study points to a decline in U.S. government investment in U.S. infrastructure and neglect to maintain a large amount of aging infrastructure. In this regard, this study proposes to maintain the old bridges, subways, wastewater treatment facilities, etc., and strengthen the infrastructure investments in low-income areas to provide a better environment for people to live in. The significance of this research is to attach importance to the construction and maintenance of infrastructure, which is not only for the country's economic prosperity, but also for the people of the country to live and work in peace and contentment. Infrastructure is a very important part of a country's economy and cannot be ignored.
Returns and Volatility in Chinese and U.S. Stock Markets in Uncertain Markets: Evidence from Fed’s Monetary Policy
Authors: Han Dongbing
Published: March 2023

The Federal Reserve announced a 75-basis point rate hike to raise the benchmark rate to a range of 2.25%-2.50% to curb another spike in inflation on July 28. Since 2022, the Fed has announced four rate hikes, with the cumulative increase reaching 150 basis points in June-July alone, the largest since Volcker took the helm of the Fed in the early 1980s, which might be reflected in the volatility of stock prices in China and the U.S. market. This paper assesses the impact of fed rate hikes on the Chinese A-share market, specifically the Shanghai Stock Exchange (SSEC) and Standard and Poor's 500 (S&P 500), a stock market index that reflects the U.S. stock market. A VAR model and an ARMA-GARCH model were established to analyze the variations in stock prices caused by changes in foreign exchange rate between CNY (China Yuan) and USD (US dollars). As a result, this paper asserts that a more elevated exchange rate has a relatively negative net effect on the Chinese stock market and a negligible influence on the U.S. stock market.
Electric High-tech Car and Environment Sustainable: Analysis of Tesla’s problems
Authors: Li Peilin
Published: March 2023

New energy vehicles and environmental issues have become hot topics with the changing times. Ecological protection and renewable new energy are more and more concern by people all over the world. Tesla has had issues with battery technology so far, and Tesla CEO Elon Musk said in an interview that Tesla’s battery issues could be resolved within 40 years. In the future, Tesla can mine fewer resources on Earth.COVID-19 has swept the globe, causing economic setbacks around the world. Tesla Inc. has also been impacted by covid-19, curtailing employees and company operations to varying degrees. Covid-19 will also affect Tesla’s problems in logistics and distribution. Tesla can build a talent voyage program to cultivate talents and reduce the labor shortage problem. For logistics and distribution, Tesla can choose to expand factories around the world.
The Yield and Volatility of Cryptocurrency in the Uncertain Market: Evidence from Ethereum
Authors: Wang Yiran
Published: March 2023

With the advent of 2022, the impact of the COVID-19 pandemic has weakened, the US labor market has recovered, and inflation has been severe, creating the conditions for the Fed to tighten its policies. At the same time, cryptocurrencies as a hot topic in recent years; ETH is one of the most popular cryptocurrencies in the market; this article aims to assess the impact of the Fed's raised interest rates on the yield and volatility of cryptocurrency Ethereum (ETH) based on data on the ETH price and the US dollar/CNY exchange rate since 2022. And further, simulate the impact on the overall cryptocurrency market. This paper constructs VAR and ARMA-GARCH models to analyze ETH returns and volatility variations. The results of these models suggest that the exchange rate rise triggered by the Fed's rate hike has had a negative impact on ETH yields and increased the volatility of its returns. Further, this article recommends that investors should adjust their portfolios according to their risk appetite in an uncertain market environment.
A Comprehensive Analysis of Cute Culture from the Perspective of the Market
Authors: Feng Peiyuan
Published: March 2023

This article is mainly from the market’s perspective, and comprehensively analyzes how the cute culture in the modern market originates and develops. This article believes that the cute culture in the modern market mainly originated in Japan. This novel market culture combined with the needs of different fields in the market step by step out of Japan, swept East Asia, and went to the world, which had a wide impact on the market. This impact, this article will analyze the advantages and disadvantages of cute culture from the perspective of two critical participants in the market, the market supplier and the market demander. And given the problems existing in the market of cute culture, it puts forward corresponding suggestions based on the actual situation, and draws a conclusion.
Analysis Microsoft's acquisition of Activision Blizzard based on SWOT
Authors: He Xueqing
Published: March 2023

The acquisition between Microsoft and Activision Blizzard shocked the whole world for its huge amount and, mostly, potential huge impact on the development of some influential industries. Thus, further analysis has been done in this passage with latest statistics. An objective description on the prospect of the acquisition is also involved. The results come out as that, for both parts, entrepreneurs' personal willingness has a role to play in the decision-making process of an enterprise's developing strategy. Meanwhile, the attractiveness of the counterpart is even more powerful to influence the attitude of the decision-maker, as it is about what benefits the acquisition can bring to the company. To conclude, after careful balance, the acquisition will accelerate the promotion of the merged enterprise if the joint leader can successfully union the original two separate companies.
Netflix and Microsoft on Ad Tiers: Is this cooperation good or bad?
Authors: Fan Yuyao
Published: March 2023

This article will be analyzing the deal on adding ad tiers between Netflix and Microsoft in 2022. It is worth to discuss whether this partnership with Microsoft is necessary for Netflix based on Netflix’s current ability and resources. It will be introducing the process of preparing strategies before the deal, negotiating maximum benefits from the deal, and predicting the results after the deal. It will base on Netflix and Microsoft’s strengths, weaknesses, opportunities, and threats to further explain how each party would gain their relative bargaining power and be in a better position during the deal. Defining the objectives and listing out the strategic planning will help each company to gain a clear vision and better understanding of the needs of buyers and suppliers. This article will also discuss some major concerns and economic issues that each party might face. To conclude, the partnership between Microsoft and Netflix is efficient, and it should bring a positive outcome after it is released.
Yield and Volatility of Service Industry in Long-term Uncertain Market: a Post-pandemic Era Perspective
Authors: Chen Ruoyu , Huang Chenxi , Yu Zhiyuan , Zhao Xiaowei , Zhu Yixuan
Published: March 2023

The service industry, where hotels, restaurants, and tourism have experienced a cliff-like decline due to the Covid-19 pandemic. This paper evaluates the impact in both China and oversea situations on service industries. We build a VAR model to analyze the changes in returns and the ARMA-GARCH model which analyzes the changes in volatility in these service industries. This paper focuses on previous stock returns to predict the future influence of volatility in hotel, tourism, and catering industries. It finds out that pandemic outbreaks have a negative influence on service industry’s rate of return in both the short term and long term as the epidemic gradually normalizes. Therefore, if service industry wants to have a sustainable return, it must come up with new business models to attract customers both in person and online. In addition, market advertising and improving consumer experiences also play important roles since now a lot of young consumers care much about their living experiences.
Preface: 2022 International Conference on Company Management, Accounting and Marketing (CMAM 2022)
Authors: Bartholomew Rachel , Meng Zhuo
Published: March 2023

This is our 2022 International Conference on Company Management, Accounting and Marketing (CMAM 2022) which is virtually broadcasted from Munich, Germany on November 26-27, 2022. Due to pandemic Covid-19 which led to travel restriction, we conducted the conference remotely for researchers to present papers in company management, business statistics, economic systems, entrepreneurship, finance, investment, accounting and marketing strategies which are well represented in this proceedings volume.

We believe that the participants of CMAM 2022 have gained knowledge and built networking with all researchers in the same field. We also hope this collection of papers can benefit the readers and continue to play a large part in the future of conferences. We ensure that a thorough peer review process was carried out and administered by the proceedings editors.

The organizers would like to thank the technical committee and expert reviewers for realizing this proceedings publication. We also thank the local organizers and conference office. They were very committed and worked hard in making this conference a success. Last but not least, we wish to thank all the participants who contributed and attended the conference which made the conference a successful event.

CMAM 2022 Organizing Committees

Munich, Germany
Analysis of U.S. industries based on Fama-French five-factor model under COVID-19
Authors: Huang Weixuan , Wang Jiaqi , Zhu Kaidi
Published: March 2023

At the end of 2019, COVID-19 swept the world, and the United States was also hit hard. The epidemic is not only a public health crisis, but also an economic crisis. Human beings’ lifestyles have undergone tremendous changes, such as reducing dine-in meals and suspending travel plans. Meanwhile, service industry that relies on interactions between customers and suppliers has been hit hard due to controlling of social distancing. This paper intends to explore the effectiveness of the Fama-French five-factor model in various industries in the United States under COVID-19 and find the changes the epidemic has brought. This paper will perform multiple regression analysis on the daily data of the five factors and industry stock portfolios obtained from the Kenneth R French database to obtain relevant results, and further analyze the model. The results show that the fitting degree of the model to the industries has improved after the epidemic. The HML factor of the service industry and the CMA factor of the paper industry have changed from significant to insignificant, while the RMW factor of the meal industry has changed from an insignificant factor to a significant one. These results reflect changes in the explanatory power of different factors for different industries under the epidemic, which reflect the severe impacts of COVID-19 on various industries in the United States, and provide new insights to better understand the Fama-French five-factor model.
AI-RPA's Enabling and Supporting Role in Jingdong Group's Financial Processes
Authors: Hua Zhongtian , Ren Yanrong , Zhang Yuyan
Published: March 2023

With the acceleration of the process of digital transformation in the financial industry, improving the quality of service, reducing costs and increasing efficiency have become the primary appeal of banking enterprises. AI-RPA technology has an increasingly significant influence on global economic growth. It has a wide coverage and can be complemented by most financial industries, which greatly saves manpower and increases revenue. Jingdong RPA is a typical success story. This paper mainly studies the technical advantages and operation mode of the Jingdong RPA robot and uses specific scenarios to discuss the role and effect of the RPA robot in finance, logistics, service and other aspects of Jingdong under this operation mode. Therefore, it can be concluded that, on the one hand, it improves the information and automation management level of the financial department of the company, and helps the company to deeply reduce costs and increase efficiency; on the other hand, it ensures the smooth and safe operation of the whole system. JingdongRPA provides a reference for the development of artificial intelligence technology and the transformation of the operation mode of other companies.
The Transformation of Enterprise Data and Business Under the Data Center Structure-Taking Kuaishou Group as an Example
Authors: Sun Xiaoling , Xiong Zihao , Yang Haocheng
Published: March 2023

The construction of data center plays a huge role in enterprise management and decision-making. The purpose of this paper is to study "the operation mode of the enterprise under the data middle-office architecture and the impact it serves on various businesses". Firstly, based on the discussion of the data, the concept of the data center is defined. Secondly, it discusses the structure of the data middle platform in the enterprise, and puts forward a theoretical model of its operation mode based on the discussion, and discusses the role of the data middle platform in the business. Finally, in the process of summarizing the defects and challenges faced by the middle and Taiwan, put forward development suggestions, which will help enterprises to improve the efficiency when building and using the middle platform. This research will help enterprises to further develop the value of middle and Taiwan, which is of great significance for the digital transformation of their own business and the maximization of efficiency.
Innovation and Development in The Metaverse under The Digital Economy — Takes Tencent as An Example
Authors: Fei Qihan
Published: March 2023

n the era of digital empowerment, technology has changed dramatically, new digital technologies have exploded. Big data, blockchain, artificial intelligence and other technologies have begun to occupy a large part of technological development, focusing on customers and meeting people's needs while constantly presenting new forms of expression, metaversity, blockchain, AR, VR, 5G technology gradually into people's vision. More and more countries and enterprises have begun to enter the meta-universe field, especially game companies such as Tencent, and have made many breakthroughs in the meta-universe field in recent years. The metaverse will have more possibilities in the combination of innovation in various fields, and the future metaverse may change people's lifestyles, bring technological innovation, or bring disaster to mankind. Therefore, breaking through technical limitations and improving the management system have become urgent problems that the metaverse needs to solve.
The Relationship Between Fss and Enterprise Performance in Chinese Enterprises-based on Data from 2018 to 2021
Authors: Xu Xiaolin
Published: March 2023

The digital transformation of finance begins with shared services. The major changes in the information technology environment have subverted the cognition of traditional finance and enterprise management. More enterprises have adopted Financial Shared Services(FSS). The impact on enterprise performance that helps enterprises make decisions on whether to adopt or optimize the Financial Shared Services Center. This paper takes the enterprises listed on Shanghai and Shenzhen Stock Exchange from 2018 to 2021 as the research sample. Then this paper conducts empirical research through hypothesis tests and regression analysis. Research findings: within the scope of this study, there is a transition period in the implementation of FSS, and it is needed that enterprises make reasonable adjustments.The enterprise value and the FSS are significantly positively correlated.This research provides a reference for the enterprises that have implemented FSS in the initial stage or companies to implement this policy.
Application and Development of Digital Technology in Financial Sharing Center – a Case Study of TCL Technology
Authors: Zhang Wenting
Published: March 2023

With the rapid development of science and technology, digital technology is changing every aspect of people’s lives. In order to find new opportunities in the fierce market competition, companies have begun to find more ways to make themselves more competitive in the marketplace, and the innovation of financial management systems has become the breakthrough of each company. Therefore, companies began to combine the existing financial sharing system with digital technology and then create distinctive financial sharing centers to help their work. This paper is based on the financial sharing center of TCL Technology to analyze the combination of digital technology, which is the main application of financial sharing centers, and financial sharing and analyze the feasibility and challenges it will face providing companies with a reference sample.
Research on the New Direction of Community Marketing - Taking the Rise of Male Power of Little Red Book as an Example
Authors: Jiang Yunxuan , Liu Yuelin , Luo Jie
Published: March 2023

The combination of UGC community marketing and B2C e-commerce cross-border mode is a leading e-commerce marketing mode that conforms to the new trade mode of the state. The core lies in taking consumers as the center and driving the transformation of online shopping mall products to make profits through the platform of community content sharing. Among them, Little Red Book has high learning value. By collecting specific data such as the number of Little Red Book users, and making statistical mapping analysis, it is found that the proportion of male users increased from 10% to 12.1% and then to 31.62% from 2013 to 2019 to 2021. With the development of the "Z-Trend Era", male content-oriented notes are increasing on the social platform of Little Red Book, and the increase of Little Red Book's male users has changed the prejudice of its original "female community" and made the community content more diversified. At the same time, it also brought a lot of new vitality to the platform, which is full of homogeneous content, and subtly improved the user viscosity, loyalty and the online shopping mall's utilization rate.
A review of research on the impact of employee mindfulness on in-role performance
Authors: Yu Xiaohan
Published: March 2023

With the booming development of economy, the increasingly fierce market competition, Chinese enterprises into a period of rapid development, "996", "007" become the working mode of many employees, investigate its fundamental, extend working hours can not effectively improve work efficiency, therefore, how to ensure that employees to complete their performance, break the "996", "007" work dilemma become an urgent need to solve the problem.Mindfulness is an important topic for long-term research in the field of psychology. In recent years, more and more scholars have begun to pay attention to the influence of mindfulness in the field of management. Empirical studies have found that mindfulness has a positive impact on workplace employees' happiness, work performance, and leadership level.This paper systematically sorts out the performance related literature of employees, deeply explores the influence mechanism, summarizes the existing research ideas, and puts forward corresponding suggestions and directions for future research.
Red's Community Marketing Model Research Based on UGC Cross-border E-commerce
Authors: Cao Qiongyu
Published: March 2023

Affected by the epidemic in the past two years, all industries are facing a lot of suffering. But it's a very important opportunity for the short video industry because people are spending more time at home and more free time on the Internet. Major companies have also seized this opportunity to develop and launch online platform apps, and many high-quality platforms have been found and deeply loved by people. The Red platform is one of them. It has its own uniqueness to emerge from the highly competitive network platform. This paper focuses on the marketing strategy of the Red platform based on UGC. The characteristics and advantages of the platform and its development process are described and analyzed in detail, and it is compared with other platforms. In the end, it was found that Red is just to seize the user-centered, so that users can operate independently to build a community, such a unique marketing model to attract customers and stabilize customers. At the same time, some suggestions about the development of Red are put forward.
Research on Methods to Enhance User Stickiness in Online Healthcare Platforms - A Case Study Based on Yilu
Authors: Li Zhangling , Lyu Yian , Ruan Xiaoyu
Published: March 2023

As the population grows in China, the proportion of national spending on healthcare has increased, which promoted the development of China's internet healthcare industry. However, the number of active users in China's Internet healthcare industry is not desirable. Many users still have trust problems with online medical consultations. User stickiness and usage rates have become one of the challenges of the current Internet healthcare platforms. This paper uses Ali Health as an example to examine ways in which online healthcare platforms can enhance user stickiness. By using the case study method, it is found that there are only three ways for Yilu to enhance user stickiness. From the perspective of traffic drainage, Yilu can expand its business to multiple platforms by taking advantage of the parent company's advantages and actively innovating traffic drainage methods. Emotionally resonate with users and attracts more users. From the perspective of products, Yilu uses a series of comprehensive high-quality services, and reliable products like its medicines to increase its user stickiness. From an operational point of view, Yilu's WeChat community, membership system, and points system can also help enhance their user stickiness. Through research on Yilu's method of enhancing user stickiness, it can provide a reference for other enterprises in China’s Internet medical industry to meet users' needs, continuously improve platform services, and ultimately achieve healthy industry development.
Compare Linear regression, Decision Tree Regressor, and Random Forest Regressor based on python, a restaurant company on Kaggle as a case
Authors: Zhang Weicun
Published: March 2023

The fastest-developed computer language around the world is python because it is easy to use. Most of the linear regression methods currently used for traffic prediction cannot explain the accuracy differences between methods. In this study, the idea of constructing a regression model, decision tree regressor, and random forest regressor is described by analyzing the sales volume, region, and time of a take-out company, and the accuracy difference between the three different models with the same data is compared. It is concluded that the random forest regression volume has the highest accuracy among the three, and the results are obtained by bringing them into the original data for experiments. Although the linear regression model improves the scientific and rational nature of logistics forecasting. It provides a decision basis for enterprises to forecast sales volume. However, if only the linear regression model is used for forecasting, it is still not accurate enough. It needs to be combined with other methods for experiments to further improve accuracy, scientificity, and rationality. In the paper, the basic knowledge of statistics is used to create three different linear regressions through python and find which one is the most accurate. R2 score, MSE, and RMSE are explained. Based on the study, when firms do the prediction of their business or any other projects, if the data set have the linear regression relationship, they could choose the Random Forest through python directly as it is the most precise among them.
The Influence Factors of Supermarket Profit: A Case Study of The United States
Authors: Xue Lejing
Published: March 2023

A Supermarket's profit is the money it earns when its total revenue exceeds its whole expenses. Any profit made by a corporation goes to its owners, who can choose to distribute it to shareholders as income or reinvest it in the business to fund future growth. The goal of this study is to analyze how the profitability of a particular superstore in the United States is affected by several economic factors. The multiple linear regression method, which is a statistical tool for prediction, will be utilized extensively throughout the paper. This project will go through data wrangling techniques, where this paper checked for inconsistency, missing values, and duplicate records, and filtered noisy data by identifying outliers and removing them, sampling the data due to its size to a more convenient size for ease of analysis, to proceeding to visualization, in order to determine what the results of the analysis are. Our primary method of multiple linear regression yielded an R-squared value of 0.563 for our model. This value represented the coefficient that indicated how well the values fit compared to the originally used values. Each one of the analyses that was carried out will be based on a confidence interval of 95%. In conclusion of the study, this paper found out that the more the sales and higher the quality the more chances of getting profit on the sales made with discount accounting to a negative variation to the profit sales. This model can be used to demonstrate future trends in profit margins and be applicable apply to other supermarkets to avoid losses.
Analyze of the Unique Characteristics of Bilibili
Authors: Meng Tianshu
Published: March 2023

With the continuous development and expansion of bullet screen video websites, more young groups start watching bullet screen videos, paying attention to the culture of the bullet screen. Bilibili website has its unique advantages. It draws an increasing number of young people to become devoted users and rises to the top of the list of websites with bullet screen videos. It has consistently drawn the interest of mainstream media, certain official mainstream accounts, and brands in recent years. The host has repeatedly resided at B station. This paper takes Bilibili as the research object and starts with the analysis of its profit model and then examines the distinct qualities of B stations in online video from the perspectives of website community operation, media, and popular culture. This paper also takes the financial analysis of B station as the profit benchmark to analyze its financial data. What’s more, this paper studies the profitability of B station‘s profit model. The study found that the root causes of these problems were narrow revenue targets, bottlenecks in other businesses and high costs. Finally, according to the analysis results, this paper puts forward optimization suggestions.
Research on Stock Return Forecasting Methods based on Time Series Models
Authors: Jiang Xiyuan
Published: March 2023

Accurately predicting the trend of stock return rate is a hot research issue. With the development of artificial intelligence, machine learning, big data and other technologies, it brings new potential to the prediction of the stock market. In order to accurately predict the trend of stock return, this paper mainly constructs the time series ARMA model and random forest model, uses the stacking method to fuse the models, and predicts the daily return of Yangtze River Electric Power stock. The final fusion model has an MSE of 1.757 on the training set and 1.274 on the test set. The overall prediction error of the model is within an acceptable range. At the same time, the fused model can weaken the problem of underfitting of a single model, which provides a valuable reference for model optimization research.
The Impact of Urban Economic Agglomeration on Urban Unemployment from Spatial Econometric Model
Authors: Du Yuheng
Published: March 2023

Whether in developed or developing countries, the aggregation of economic enterprises within cities or regions is becoming more and more common. While this aggregation brings benefits to cities and people, there are also problems, such as urban unemployment. Rate. This paper studies the impact of three elements of urban agglomeration-induced changes in urban GDP, urban population mobility, and urban inflation on urban unemployment. In this paper, the method of spatial econometric analysis is used to build a forecasting model to perform linear regression analysis on the data of fifty states in the United States, and to test the built forecasting model. According to the study, there is a positive correlation between changes in urban GDP, urban population mobility, and urban inflatio and urban unemployment.
A Study on the Management Model of Deppon Logistics Company
Authors: Jin Yajie , Liu Xiaoyu , Wang Chenxi
Published: March 2023

With the rapid development of the economy, the modern logistics industry plays an increasingly important role in the national economy. The rapid development of e-commerce has also brought unprecedented development opportunities for the express delivery industry. However, opportunities and challenges coexist in the rapid development of the logistics industry. Factors that affect the development of logistics enterprises have gradually emerged. This paper selects Deppon Logistics, a representative logistics company in China, as the sample of the case study. This paper uses the SWOT method to analyze the development status of Deppon Logistics and summarize the existing problems in the development of Deppon Logistics. Combined with the actual situation of the company, this paper puts forward suggestions for the future development of Deppon Logistics. Deppon Logistics can improve its efficiency and sustainable development by expanding its main business scope, improving its brand influence, increasing the network coverage, and improving the human resources system.
The Source of Enterprise Organizational Capability: The Case Study of NH Company
Authors: Bi Luyu
Published: March 2023

More and more enterprises focus on the construction of organizational capabilities to enable enterprises to keep stable business operations. Especially in the protean and increasingly fierce competitive market environment, most industries have stepped out of the Blue Ocean Stage. In addition to focusing on investing or market opportunities, mature organizational capabilities are more necessary to achieve profitability. Research shows that organizational capabilities are an important internal resource of an enterprise. And the construction and continuous evolution of the organization's capabilities are the determinants of the enterprise's growth. However, there is no unified cognition on the formation process of organizational capabilities. This paper will take NH Company as a case to explore the relationship between employee management activities and the construction of organizational capabilities. This paper finds that employee management activities, carried out from employee governance, employee ability and employee thought, are effective methods for forming organizational capabilities. The enterprises can select a suitable measure to invest in and cultivate the organizational capabilities gradually. The importance of the paper is reflected in filling the gap in the definition and the formation process of organizational capabilities.
Comparative Analysis of the Technology Strategy in the High-tech Industry: A Case Study of Apple and Nokia
Authors: Li Keren
Published: March 2023

In today's world, as technology iterates and technology companies become more competitive, the technology strategies employed by companies will undoubtedly have a huge impact on the competition for market share. This paper presents a comparative case study of the rise and fall of Nokia and Apple technology companies in the mobile device industry, focusing on their different approaches to technology strategy. A good technology strategy can give a technology company a huge competitive advantage in the market. This paper examines the embodiment of these technological strategies in products and their impact on the marketplace. This paper finds that the technological advantages applied to the products positively impact the company's growth. It also finds that companies will receive rewards in terms of market share if they maintain their innovation ability and focus on consumer needs. As two giants in the history and present of mobile device companies, a study of their technology strategies is informative for contemporary technology companies.
Research on Opportunity Analysis and Competitive Strategy of Tesla in Exploring China's New Energy Vehicle Market: Based on PEST and SWOT models
Authors: Ma Liangrui , Meng Jiayuan
Published: March 2023

New energy vehicles are one of the hottest topics today. As the international energy supply continues to be tight, the price of crude oil continues to rise and the global call for environmental protection grows louder, more and more attention is being paid to the technological development and industrialization of new energy vehicles. The rapid development of new energy vehicles has brought about significant changes to the world's transportation landscape. Over the past period, Tesla has adopted the right strategy and the global market and the Chinese market have both shown good development. This paper takes Tesla as an example and analyses its opportunities and competitive strategies for developing the new energy vehicle market in China. Secondly, the PEST and SWOT model data are analyzed. The results find that Tesla has both strengths and weaknesses in the Chinese market and that improvements are needed in some specific areas to complement its strengths and weaknesses.
Research on the Development of WeChat Channels under the Background of Short Video
Authors: Chen Linwei , Yin Yi , Zhu Yanjin
Published: March 2023

The improvement of 5G network speed has laid the foundation for the generation of short video platforms. With the help of big data, short videos can be more accurate to push the content of interest to customers. As a veteran Chinese Internet giant Tencent, in order to cater to today's fast-rising short video market, Tencent launched "WeChat Channels" to participate in the competition in the short video market. In just two years, the latest data shows that Tencent's WeChat Channel has been able to compete with Tiktok and Kwai. The authors have studied and discussed why the Tencent WeChat Channels can grow so fast in such a short period of time, and what are the implications for those who want to join the industry later. The authors analyze the business model of Wechat Channels through the network effect of short video platforms and positive feedback loops, use SWOT to analyze the competitiveness of WeChat Channels, and analyze the differentiation strategies. Through research, the authors found that the WeChat Channels itself is in the powerful online communication platform "WeChat" ecology, and the natural customer acquisition channel enables the Wechat Channels to quickly complete the original accumulation of basic customers in the early stage, and the unique push mechanism within the circle of friends allows Video account customer stickiness and higher video quality. Therefore, these two important factors have led to the result that the video account has gradually formed its own closed-loop live broadcast business.
Gold Price Forecast by Different Models
Authors: Fang Wenjing
Published: March 2023

In recent years, the gold investment market has a dramatic effect on the world. So being able to predict gold price accurately has become an urgent demand for economic development. This paper gives three different models including the regression analysis model, back propagation neural network (BP neural network) model, and time series analysis model to realize the prediction of gold price. Firstly, this paper verifies that the data applies to each model respectively. Secondly, through training the models, the corresponding gold price prediction formulas are output. Finally, through the test of the models, it can be concluded that the three models all have high reliability and accuracy, which means that they are suitable for the prediction of gold prices. In the end, this paper compares the prediction effects of the three models, and finds that compared with the regression analysis model, the BP neural network model and the time series analysis model have certain errors and limitations for long-term prediction, while they are more suitable for the short-term forecast. Since there are certain risks in gold investment, grasping the trend and fluctuation of the gold price accurately is the concern of both all gold investors and academic circles.
Short seller report and stock performance Empirical evidence from US-listed Chinese firms
Authors: Zhang Siyu
Published: March 2023

In recent years, there have been a number of Chinese companies listing in the US market. At the same time, many of them delist from the US market. An important reason behind this is the issue of financial fraud. Most of these cases are due to short seller reports by activist short sellers. After short selling, financial and auditing problems are revealed, causing the share prices of these companies to collapse. This has raised concerns among US regulators about the quality of Chinese companies' auditing and prompted joint supervision by Chinese and US regulators. This paper uses Chinese companies listed in the US as samples to study the long and short term fluctuations of these companies' stock prices before and after the short seller reports were issued. After the short seller reports are released, the results show that the stock price can fall significantly in the short term, with the average CAR reaching 10%. Long term share prices are less affected, with 45% of short seller reports associating with negative price changes. This paper also examines the factors that influence the market's reaction to short seller reports. Companies that choose the accounting firms from the Big 4 see smaller share price declines in the short run compared to those that do not. In addition, small companies are more likely to recover from such negative events in the long run than large ones. The study of short selling reports is important. Some limitations and restrictions make it difficult for US regulators to fully monitor all Chinese companies. Therefore, individual investors can only obtain information through these short-selling reports, and then change their investment decisions to protect their interests.
Research on the Influence of Social Media Platforms on Consumers’ Purchase Intention
Authors: Zhao Yangguang
Published: March 2023

Since the increasing importance of social media online advertisement, the area has existed a large amount of research. The majority of the paper focuses on the effectiveness and content of online advertisements. However, the relationship between social media platforms and the effectiveness of online advertisement seems to be less concentrated in this area. This paper seeks to solve this issue in the online advertisement by providing a methodology and a way to measure and analyze the data. The methodology used in this paper is a survey. This paper focuses on two particular platforms, Bilibili and WeChat, and the comparison is made in three specific kinds of products, including electronic devices, food, and clothes. Assuming Bilibili and WeChat target different groups of people in different areas, this paper further provides suggestions to the enterprise. This paper also includes some suggestions for increasing the social media platform performance and boosting the consumers’ purchase intention.
Research on Social Media Marketing Strategies of Chinese Small and Medium-sized Enterprises in the Post-epidemic Era
Authors: Zhang Shiyao
Published: March 2023

This paper investigated how social media marketing strategies may help SMEs in China recover in the post-epidemic era. SMEs are crucial to the economics of China since their development can affect GDP growth. In this paper, a survey and case study are used. It has been found that social media marketing can not only help SMEs to recover in the short-run but also bring long-term benefits to them and help build a steadier relationship between the firms and the customers. However, it also has drawbacks, such as the uncontrollability and unpredictability of markets and barriers to entry. To solve the problems, it is suggested to establish relevant supervision departments and rules, and relevant training programs can also be offered to SMEs. From the microeconomics perspective, this study can provide an idea to all the firms about how to adapt to the current market and use the most suitable marketing strategies at the moment. This paper also helps achieve economic growth and a low unemployment rate from the macroeconomics side.
A comparative study on the marketing channels of beauty brands Olay and Herborist
Authors: Zhou Yuxi
Published: March 2023

This article compares and analyzes the development status of beauty brands: Olay in the United States and Herborist in China. Olay and Herborist are well-known beauty brands representative in skin care. Olay is a leading global skincare brand trusted and loved by women worldwide for 60 years. And Herborist was officially established in 1998, with the concept of “personal care experts in modern Chinese herbal medicine and ancient prescriptions” launched into the market; it adheres to the brand concept of “beauty comes from the root, balanced and proper”. Both brands have a wide range of global markets, especially in the Chinese market. Consumers deeply love both product prices and product functions. Therefore, through the comparative analysis of the marketing situation of the two brands, the qualitative analysis method is adopted to analyze the current situation of the marketing channels of the two beauty brands. According to research, the two beauty brands have achieved a lot of revenue after transforming and developing marketing channels. But there are also some problems, including marketing concept, environment, and strategy, and improving the marketing status by combining 4P strategy.
The Status and Dilemmas of Chinese Online Fiction in the Global Market
Authors: Li Chengze
Published: March 2023

Chinese online novels have gained global influence. After 20 years of rapid development, Chinese web novels have accelerated the pace of "going global", and have demonstrated the cultural self-confidence of the Chinese nation using geographical distribution, genre distribution, and multiple platform distribution from East Asia to North America, gaining a broad space for overseas distribution and activating global cultural and creative energy through Chinese cultural identity. At the same time, the overseas dissemination of Chinese online novels is facing serious piracy, difficulties in protecting rights, homogenization, hollowing out and commercialization of content, difficulties in translation, lack a mature dissemination mechanism, a single business model, and little attention and response to Chinese online novels from the mainstream community abroad. Other difficulties, which require further solutions to promote the better development of overseas dissemination of Chinese online novels.
Research on the Impact of the Real Estate Economy on China’s National Economy-- Taking the Comparison of Real Estate before and after the epidemic as an example
Authors: Zheng Sijia
Published: March 2023

The importance of the epidemic’s impact on investing in real estate and the National economy, and the changes in the real estate market in a short period, are directly related to whether the epidemic spread can be effectively controlled. If the epidemic is not alleviated, the property market will sleep; Once the epidemic has been largely controlled or eased, the real estate market will slowly recover. Eventually, once the epidemic situation stabilizes or even improves, the market will quickly recover, and the trading volume will increase to a certain extent. The text used the contrast demonstration method and the example demonstration method. And This paper aims to explore the outbreak’s effects on China’s real estate market, an examination of the sector’s economic growth following the epidemic, and both long- and short-term changes. This paper suggests a real estate business growth plan in response to the pandemic based on the analysis.