bluuebunny/crossref_metadata_2025 huggingface dataset:
Research of Social Media Marketing Strategies of Chinese Domestic Films
Authors: Zhang Hua
Published: March 2023

Social media has a very important role in the promotion and marketing of movies, and it is one of the reasons for the success of movies. This paper will first introduce the background of the marketing strategy of Chinese domestic movies. With the rapid development of social media, unique communication characteristics have attracted more and more people to gather and use it, simultaneously bringing opportunities and challenges to Chinese domestic films. The current situation will also be analyzed. Filmmakers have made some development and progress in marketing methods by constantly finding suitable marketing strategies in practice, but filmmakers still have deviations in film marketing strategies. Many problems need to be reflected and improved, such as excessive hype. The most important thing is the countermeasures. In the face of many problems, film marketers need to understand the current market preferences of the public. And then establish a standardized system for social media marketing of films, as well as pay attention to all methods that can help promote films, such as developing and marketing film derivatives.
Research on the Existing Problems and Marketing Strategies of Chinese Traditional Costume in the Way of Live-streaming
Authors: Qin Yutong
Published: March 2023

Chinese Traditional costume is a special garment industry that has become popular recently. Although it has been regarded as an industry with great potential to expand and develop, problems in the marketing process - especially when related to e-commerce and live-streaming advertisement - are blocking the way for this industry to step toward success. Live-streaming is a newly developed but popular marketing method, creating channels and selling stuff online with real-time product promotion. Chinese traditional costume is highly valuable for the nation’s culture and economy, so it is essential to identify the potential problems and discover solutions individually, thus summarizing the most suitable approach to expand the market through online live-streaming. Due to the limitation of primary sources, this study mainly focuses on the case study and literature research analysis, supporting existing data in this field. The results reveal the current circumstance of the whole industry, and the customer behavior, hence discovering the ineffectiveness of its current live-streaming strategy. Furthermore, this study utilizes the “Ansoff matrix” concept to compare the four approaches for this industry to discover new growth opportunities and evaluate the advantages and disadvantages of the respective approaches. This result provides clear instructions about the methods of marketing through live-streaming for this industry at the current stage. It thus may be helpful for the business within the industry to revise the new approach.
Investigating the investment value of Elmo company based on SWOT analysis
Authors: Feng Xiya
Published: March 2023

Startups face huge challenges in all aspects, and corporate finance is an essential part of surviving in a very competitive industry environment. Corporate finance determines the possibility of business development, and the capital chain is an important factor for the company's survival. In order to assess the value of an investment in universal startups and to determine the appropriate channels for obtaining investment, the small industrial technology company Elmo, Inc. was selected as a representative. In this paper, we analyze the investment value of Elmo, a start-up company, using SWOT analysis, which is commonly used in business analysis, to evaluate the strengths, weaknesses, opportunities, and treats of the company, and the results show that Elmo has high investment value. The analysis of the investment value of the company will serve as investment advice for investment institutions and create more financing opportunities for startups, thus promoting the development of startups. The company's investment value analysis can also help the company to clarify its development direction and investment requirements, find suitable financing methods and stabilize its capital chain.
A Comparison between New Energy Vehicles Owner Reviews And Internal Combustion Engine Vehicle Owner Reviews in the Chinese Market
Authors: Liu Yixuan
Published: March 2023

The issue of energy has received much attention from all aspects across the world, including the automotive industry. Both policies and technology development have pushed automotive manufacturers to turn to new energy vehicles (NEVs) from traditional internal-combustion engine vehicles (ICEVs). To understand how consumers in the market perceive these two different types of vehicles, the study sets out to investigate car owners’ reviews of both types of vehicles. A total of 30000 reviews from 20 models (10 from each type) including reports of the most satisfying parts and the most unsatisfying parts of the vehicles are analyzed. The results show that the two types of car owners demonstrate differences when discussing satisfaction in dimensions of exterior design, engine power, and space. The results also show that they demonstrate differences when discussing unsatisfaction in dimensions of interior design, space, range and battery, new car pickup time, and engine power, of which the latter three are specific to vehicle type. Finally, the study also finds a stronger unsatisfied sentiment in ICEV owners’ reviews than in NEV owners’ reviews.
Price Prediction and Feature Importance Analysis of German Electric Vehicles Based on Boosted Decision Tree Model
Authors: Sun Mingjun , Ye Jiahao , Ye Peiyan
Published: March 2023

As people realize the importance of non-renewable energy sources, more and more industries are looking for alternative sources of energy that can be used. The automotive industry is a prime example. Electric vehicles are having an increasingly dominant role in the automotive market. This paper investigates the price of electric vehicles (EVs) and the importance of consumers' characteristics for electric vehicles in the European region. In addition, feature importance is discussed with disordered data in selecting the best regression model. Finally, the Boosted decision tree model predicts future electric vehicle prices in the German region. The results show that consumers place more importance on the size of the car, the battery's durability, and acceleration. Although the penetration of electric vehicles in Germany is still tiny, government incentives for electric vehicle companies and consumers will increase the market penetration of electric vehicles. So we believe that in the future, people will be able to buy good-performing electric cars at more affordable prices.
Financial Investment Risk Analysis in the Post-Epidemic Era
Authors: Chen Mingrui
Published: March 2023

This paper investigates the correlation between the persistent impact of the epidemic on investment risk in the post-epidemic period and the response measures. A high correlation is found between market performance and policies introduced due to the ongoing impact of the epidemic. Further validation is provided by using the CSI 300 as a reference portfolio and by selecting ten stocks from the CSI 300 in the capital markets services sector to calculate the correlation coefficient between the latter and the former. It is found that placing assets in capital market services companies leads to lower investment risk, and the correlation between investment risk and the ongoing impact of the epidemic is moderately low. However, placing assets in capital markets services firms is not a better choice currently if investors want to obtain a higher return on their assets.
How Social Media Marketing Strategies Drive Brand Development in the Digital Age?
Authors: Zhu Huiying
Published: March 2023

The era of digital marketing has arrived and has grown accordingly. Among the many approaches to digital marketing, different marketing strategies have different factors for success and results. While many scholars focus primarily on measuring the effects of different marketing approaches, this paper focuses on analyzing the factors contributing to the operation and success of different marketing models. There are many digital marketing tools, and this paper selects two of the more used digital marketing tools for analysis and uses case studies to analyze how word-of-mouth marketing and interactive marketing have contributed to the development of brands and what the success factors are to provide more ideas for the development of digital marketing. The structure shows that several factors contribute to the implementation and success of all types of digital marketing, which are closely focused on target customers, digital platforms, marketing content, and methods, as well as on the tracking of data. Today’s rapid development of digital media and technological innovations have also laid a solid foundation for the development of digital marketing.
The Influence of Virtual Goods Purchase on Teenagers' Online Consumption——Genshin Impact Marketing Strategy as a Case
Authors: Zou Kaiming
Published: March 2023

Mihoyo's open world mobile game Genshin Impact, launched in September 2020, set the record for the highest grossing mobile game worldwide for the month with $245 million, and was the highest grossing mobile game in China for six consecutive months. Behind this impressive performance, there have also been negative voices about inducing overspending in games. For a game aimed at teenagers, it sets very high purchase prices for virtual goods and lotteries and lacks guidance and efforts to protect teenagers. Teenagers are one of the biggest consumers of online games. With the rapid development and popularity of mobile Internet and smart devices in China, it is more convenient for Chinese teenagers to access online games, and the era of touch games shows a younger trend. This paper uses two practical cases to focus on the impact of the highly developed mobile game consumer market on consumers and enterprises. It analyzes and discusses from two perspectives, involving the analysis of marketing concepts, schemes, consumer psychology and other elements. In the end, it deduces the social and moral issues that enterprises need to pay attention to in their own operations and improves a cleaner consumer market together with consumer groups.
Branding Strategies of Outdoor Music Festival: A Case Study of Strawberry Festival
Authors: Han Mingzhao
Published: March 2023

With the change of music industry, the traditional recording industry began to decline, and diversified music forms were accepted by people. Outdoor music festival is one of the representatives, it is gradually gaining more and more attention due to high participation and immersive on-site experience and occupying more share in entertainment market. Compared with other forms of music performance, music festival is not only a platform to show a variety of styles and types of music performance, but also can be integrated with tourism and other forms of business, forming a comprehensive entertainment industry model. Even in the post-pandemic world, music festivals still show a astonishingly development trend. In the face of fierce competition in the music market, how to play the role of branding and establish a new normal for event promoting should be considered by music festival organizersThe study took outdoor music festival as the research object, case on China Strawberry Music Festival to elaborate the development status of China's outdoor music festival and the problems existing in the branding process, discussed the developing pattern of strawberry Music Festival branding from two aspects of positioning and strategy.The study investigated the promotion effect of exact branding strategies on the development of music festivals, and proposed a practical path for the branding music festivals using brand marketing theory and literature research. The study puts forward the strategy of outdoor music festival branding in brand positioning, brand communication, brand management and other aspects, and concludes the importance of combining the analysis of music festival and city.
Comparative Study on Profit Model of Fresh Food E-commerce Industry
Authors: Li Zihao
Published: March 2023

In recent years, due to the impact of the epidemic, people's clothing, food, housing, and transportation have become more dependent on the Internet. The fresh food e-commerce industry is a product that stands out under such a background. Therefore, people must understand this industry because it might contain a huge wealth in it. This paper takes Dingdong Maicai as the main research object because it is the largest company that is based in the front warehouse and it has the most advanced transportation skill; At the same time, Meituan is selected as a group buying case company, because it is the largest group buying company. The advantages and disadvantages of the two are compared and analyzed from the perspective of the profit model, which contains profit point, profit source, profit leverage, and profit barrier, analysis framework. Then, the paper illustrates the difficulties that Dingdong Maicai might have encountered and some suggestions for Dingdong Maicai to overcome those difficulties.
The impact of COVID-19 on sharing economy in Singapore: Role of customer’s perceived risk
Authors: Ni Tara Kou Dan
Published: March 2023

The unprecedented COVID-19 pandemic has had a significant impact on the tourism industry. Previous research has studied the perspective of Airbnb hosts, but rarely mentioned the effect on consumer choice. As consumer choices may be driven by their risk perceptions, how COVID-19 may influence is not well-understood. This paper aims to investigate how COVID-19 may change consumer risk perception on different Airbnb listings, and such an impact on risk perception may affect their choices and overall business performance. The paper utilizes large-scale data about customer reviews and listing characteristics from Airbnb Singapore in the years 2019-2021, using NLP techniques to analyze, and extract the change in tourists’ risk perception before and after the outbreak of COVID-19 in Singapore. Comparing the topical content from customer reviews, we find that customers tend to perceive their experience more significantly on cleanliness-related issues since the outbreak of COVID-19. Furthermore, sentiment Analysis is performed to classify customer reviews into positive and negative, respectively, such that all listings are classified according to their valence in the perceived cleanliness. We show that the number of bookings and revenues of listings perceived as clean and not clean by the customers has diverged since the pandemic, i.e., the listings that are perceived clean would receive more bookings and thus accrue more revenues than those that are perceived as not clean. Overall, the research results would provide insight for Airbnb hosts and platforms to manage listings in the post-pandemic era, especially on how to manage and communicate cleanliness-related risks.
Impacts of government tax cuts in a closed economy
Authors: Long Jiaqi
Published: March 2023

Closed economies have been identified as having no real cases of conformity in modern times, mainly because with technological and cultural advances no country can be self-sufficient in obtaining development without trading with other countries, this paper attempts to address the impact of local macroeconomic variables on government tax cuts in a closed economy setting. We find moderate evidence to support this argument. In addition, using Keynesian model theory, four variables in the macroeconomy are examined. Evidence is found to support the qualitative changes produced by these four variables. In addition, the correspondence of a specific set of variable factors is examined. Although it is almost impossible to derive specific effects of these variables when open economies are considered as a whole, considerable commonality is found at the theoretical level. These results have implications for investors as well as governments, as they show that when taxes are reduced, there are simultaneous positive as well as negative effects for the economy, and governments can analyze the data to arrive at a tax value that is most favorable for the country's development.
Research on the Motivator Influence on People Participate in Online Shopping Carnival
Authors: Deng Xiang
Published: March 2023

One of the greatest inventions of today’s society is the Internet, and the Internet has created online shopping. Online shopping is very popular today because it is convenient and fast, and you can buy products worldwide. One of the most famous and performing online shopping festivals is Single’s Day because the Single’s Day shopping festival meets the shopping needs of most shoppers and satisfies their psychological needs. The unique and advanced marketing strategy and easy-to-use shopping system of Single’s Day Shopping Festival make them take the leading position in the industry. To deeply understand how Singles Day shopping carnival influence or attract consumer to participate. Firstly, this paper needs to examine the motive of online shoppers. The motivator of consumer participation in Single’s Day can be explained using John B. Watson’s Stimulus (S) – Response (R) theory framework. This paper is a case study of an online shopping spree for singles, focusing on investigating the motivations that influence people to participate in Singles’ festivals.
Research on how the digital economy has affected the improvement and modernization of the industrial structure in the Beijing-Tianjin-Hebei area
Authors: Liu Ziyu , Su Yanghao
Published: March 2023

Due to the Internet's rapid technological advancement, the level of digital economy development has become a crucial metric for assessing the quality of economic development as well as a significant driver for the improvement and modernization of industrial structure. It is crucial to examine and research the effects of the digital economy's growth on the modernization and optimization of the industrial structure in Beijing, Tianjin, and Hebei from the standpoint of cooperative development. Based on collecting and organizing relevant literature, this essay explains and evaluates Beijing, Tianjin, and Hebei's current state of industrial structure modernization and the growth of the digital economy, and conducts an econometric analysis to conclude that the level of digital economy development and industrial structure upgrading in Beijing, Tianjin and Hebei is improving. Next, the degree of government intervention, the amount of direct investment by foreign businessmen and the level of innovation in technology are introduced as control variables to construct a regression model, and it is discovered that the upgrading of the industrial structure in Beijing, Tianjin, and Hebei is significantly benefited by the digital economy.
The Effects of the “Camping Plus” Model for Outdoor Brands’ Marketing
Authors: Jiang Xinran , Li Yiyunsha , Yin Yue
Published: March 2023

The camping industry has developed in a way, while most industries have declined since the epidemic broke. In this situation, outdoor companies need to apply marketing strategies to sell. The “Camping plus” model is one strategy that promotes customer satisfaction by adding additional value to the product. It can be explained as companies providing customers with various camping scenarios in their marketing. Against this background, the paper aims to search the effects of the “Camping plus” model for outdoor brands’ marketing with qualitative analysis. We invited 30 participants aged from 20 to 25 to have an interview to search the effects of the “Camping plus” model with ten questions. Nevertheless, our findings indicate that the “Camping plus” model is not always positive, so companies cannot apply this model optionally. Moreover, brands should comprehensively consider elements (i.e., the demographic of the customers, their understanding of the information the brands convey, and their attitudes to the model) to use the model effectively and efficiently.
The Impact of Internet Economy on the Real Economy: The Case from the Food Delivery on the Restaurant Industry
Authors: Gao Yueyang , Meng Zhengzhun , Ye Zhixuan , Zhang Peiyuan
Published: March 2023

The Internet economy is a new economic phenomenon from the era of information networking. The Internet can use technical means to achieve the breadth and depth human communication could not reach in the past. The Internet economy has had an impact on many traditional real economies and has caused a disruptive effect on traditional selling methods and marketing models. To explore the impact of the Internet economy on the real economy, this study selects typical Internet economy industries - the restaurant industry and food delivery. This study achieves the following main objectives. Examines the impact of food delivery on the restaurant industry. What are the positive and negative effects in today’s epidemic environment, the result of online sales on offline sales? Online marketing and offline marketing are closely related. We can change traditional dining habits and combine online and offline sales in the future.
Co-marketing Strategy and Problem: Case of Luckin Coffee and COCONUT PALM
Authors: Zhang Kexin
Published: March 2023

The Internet is becoming more and more important in people’s lives. Nowadays, in today’s marketing methods-based Internet, there is a cooperation method among brands called co-branding. Some brands choose partners entirely different from them to cooperate and launch new products; others prefer selecting some brands in similar industries and jointly developing new products. The case in this paper belongs to the second category. Luckin Coffee and COCONUT PALM jointly launched a coconut milk coffee called coconut cloud latte in the first quarter of 2022. This strategy not only gives full play to the two brands’ market advantages but also attracts consumers to buy through Internet marketing means and excellent packaging design. However, in the actual marketing process, the taste and material preparation did not satisfy consumers generally. These problems can be avoided in early market research. In addition, brands must continue to deliver core values when co-branding and innovate based on quality assurance. Only when each of the above links is effectively implemented can the brand co-branding strategy maximize its effect.
Analysis of Digital Marketing Transformation Path in the Service Industry: A Case Study of Tiktok E-commerce Platform
Authors: Ma Yuyin
Published: March 2023

The rapid development of the internet and the new life form after the coronavirus outbreak accelerated digital marketing transformation in the service industry. In China’s highly-matured online shopping market, the young Tiktok e-commerce platform has the advantage of encouraging interest and purchases through soft content creation. This paper deeply analyzed the mall entrance and broadcasting room entrance for companies’ applications and evaluated their strong points and weaknesses. This study concludes that the Tiktok e-commerce platform indeed creates an innovative path to help companies in the service industry finish the digital marketingn process and gain a certain increment in GMV and other evaluating data through online stores and broadcasting rooms. Nevertheless, it still has some problems with algorithm recommendation and page display.
Implementation of Statistical Tool in Legendary Pokémon Analysis and the Pricing in Stock Market
Authors: Qiao Lin , Tan Yangning
Published: March 2023

Statistics are widely applied in wide spread of advanced science researches to give the quantitative crustily, which is now much more well-liked. In this paper, a dataset is analyzed and a pricing method is presented based on two different statistical models. In the random forest model, we first do a simple statistical data analysis to determine the association between attributes and "is legendary" using the Legendary Pokémon dataset. The above analysis results may then be used to determine which characteristics can make a Pokémon legendary. In the Black-Scholes model, we first discuss SDE before using it to provide a stock pricing method. For the former one, the statistical data analysis in the first application may determine that all the characteristics have a positive correlation with "is legendary," and lastly, random forest discovered that the characteristics that can turn a Pokémon legendary are special attack and speed. Through the second application, it can determine how an SDE’s trajectory and coefficients are related. The pricing method is then obtained by applying SDE to the Black-Scholes model. We value a company’s shares using this method and contrast the accuracy of this approach with more conventional approaches. According to data analysis, the first application easily and intuitively demonstrates random forest’s practical application capabilities, as well as its ease and accuracy for us. These results shed light on guiding further exploration of the practice of random forests in data analysis and the application of SDE related models.
Ryanair V.S. Easyjet: Strategy Analysis and Competition during COVID-19 Pandemic
Authors: Li Tianyang
Published: March 2023

This article aims to compare the two largest Low-cost carrier (LCCs) in Europe during the global pandemic, Easyjet (based in London, UK) and Ryanair (based in Dublin, Ireland), and to analyze why they could be successful in the pandemic. In this article, it will illustrate and analyze two LCCs performance by comparing their non-current assets (including property, plant and equipment, right of use assets and financial instrument) in their financial reports, followed by detect key financing ratios and finally discuss their strategy by using SWOT analysis. This article aims to reflect on the strengths and potential problems of low-cost airlines before and after the European epidemic by analyzing the strategies of these two low-cost carriers, and to make some recommendations and opportunities that they face, with the aim of helping the civil aviation industry to recover in the post-epidemic era and to provide full service airlines with a reference for partial transformation of designated routes to help them better compete with low cost airlines.
How Family Firms Avoid Performance Decline and Innovation Reduction During Succession in China: Case from New Hope Group
Authors: Liu Qiaochu
Published: March 2023

Based on the background of Chinese family firms entering the peak period of inheritance, the paper discusses how family firms can avoid performance decline and innovation reduction during succession. This paper analyzes the succession behavior of the New Hope Group, summarizes its succession behaviors as setting advanced and step-by-step planning for succession, establishing a co-chair to uphold the heir creatively, and emphasizing the successor’s cultivation of the entrepreneurial spirit and sense of identity during the succession. The statement is approved by the stable financial performance, growing R&D investment, and achievements. The paper concludes that in the process of succession, family firms should complete the overall plan based on the firm’s specific situation, cultivate high-quality heirs, and maintain a balanced internal power structure of the enterprise during the succession to maintain the sustainable development of the firm.
Exploring How McDonald’s Changed its Marketing Strategy to Face the Challenges of COVID-19
Authors: Liu Zixuan , Long Xingyu , Wang Qinian , Yan Wenya
Published: March 2023

This study will highlight the impact of COVID-19 on McDonald’s brand marketing strategy. In the study, we will analyze the changes in the operating model of McDonald’s corporation in China. We will understand the marketing strategy changes made by McDonald’s before and after COVID-19. In this study, we point out COVID-19’s impact on McDonald’s. We identify the differences in McDonald’s sales strategy before and after COVID-19. We will confirm whether McDonald’s marketing strategy changes before and after COVID-19 worked. We use SWOT to specifically analyze the development of McDonald’s in the restaurant industry. Then we use the 4Ps to analyze the changes made by McDonald’s during the epidemic. Finally, the validity of the analysis is verified by analyzing the financial statements of recent years. We will point out the marketing strategy changes made by McDonald’s before and after COVID-19 and find out what measures McDonald’s took in response to the challenges of the epidemic.
Does the controlling shareholder's share pledging increases the financial risk of the company
Authors: Bao Yuyun
Published: March 2023

Equity pledging, the practice of pledge shares in exchange for liquidity from lenders, has become a popular approach to financing, especially in Chinese capital market. However, although there are many attractive benefits, share pledging also brings uncertainty and risks to the companies and the market. This study examines the effect of controlling shareholder’s equity pledging activities on corporate financial risk using a sample of public A-share listed companies in China. After processing the sample and eliminating some observations, a multiple regression model is used to examine the relationship of the share pledging, and ownership structure to the corporate financial risk. It is found that the effect of controlling shareholders' equity pledging can increase a company’s financial risk, but this effect is subject to the balanced level of the ownership structure of major shareholders, as more shares are held by other major shareholders, the negative impact that controlling shareholders’ share pledging on financial risks can be decreased.
Why Does the Blind Box Become the "Maotai" of Contemporary Young People?
Authors: Li Qingyang , Huang Xiangnan , Jin Zixi
Published: March 2023

Nowadays, people's standard of living is getting better and better. The purpose of people's consumption is more eager for spiritual and emotional satisfaction. So the blind box culture has gradually become a part of daily consumption. Therefore, the research theme of this paper is why the blind box has become an indispensable product in the life of young people. The research methods of this paper are as follows: first, find out the earliest origin of the blind box, then collect the relevant data about the development and sales of the blind box, and analyze the marketing strategy of the blind box. The result of this study is that the blind box is very popular among young people, not only because of its diversified series shape, low price and rich IP, but also because of its sales model characterized by random selection, which makes consumers have the psychology of "gambling" and have an "addictive" repurchase desire to the blind box.
Momentum Strategy Performances in New Energy Vehicle Industry
Authors: Zhou Jinxiong
Published: March 2023

The automotive industry is now actively working toward the strategic goal of developing new energy vehicles (NEVs). As a common strategy, momentum strategy is suitable for variation stocks. On this basis, this article focuses on new energy vehicle stocks and explores some variations of the current momentum strategies. This article provides proof that the momentum strategy exists in a certain stock. The sensitivity of the strategy return to stock market volatility will vary with varied lengths of lookback periods. The affected Sharpe ratio of the strategy shows that the transaction cost has some impact on the return of the momentum approach. Given that fossil fuels are being replaced by new energy sources today, research into NEV manufacturers is worthwhile. The significance of this research is providing a greater understanding of momentum strategy and investigating its feature in real data. These results shed light on guiding further exploration of implementations and applications of momentum strategy.
Comparison of Performances for Mean-reversion Strategy in Context of Different Underlying Assets
Authors: Liu Chenyi , Wang Han , Xu Mengzhe
Published: March 2023

Mean reversion is a financial term used to assume that the price of an asset will tend to converge to the average price over time. Implementation of mean reversion as a timing strategy involves both identifying the trading range of a security and calculating average prices using quantitative methods. Mean-reverting strategies apply the classic idea of selling high and buying low in the stock market, which generally performs well in volatile markets. Based on empirical analysis, this paper calculates the value of Bilibili, iQiyi and YouTube, compares the deviation index and return rate of the three companies. Subsequently, we use the deviation multiple and average return rate of historical statistics to judge the entry time. The significance of this study is that it provides a reference for Internet video companies to choose the path of mean reversion, and also provides an investment strategy for investors. These results shed light on guiding further applications of mean-revision strategy for different underlying assets.
Comparative Analysis on the Marketing Strategy of New Energy Vehicles in China: Taking Tesla and NIO as an Example
Authors: Zhang Hanzhi
Published: March 2023

This paper evaluates and compares Tesla and NIO's marketing strategies in China to conclude why NEVs are commonly used in public transportation but not popularized in private transportation. The analysis is based on the 4Ps and SWOT methodology that includes the evaluation of product strategy, pricing strategy, place strategy, promotion strategy, strengths, weakness, opportunities, and threats of Tesla and NIO. This paper concludes that Tesla and NIO successfully captured the NEV market by utilizing various marketing strategies; whereas NEV complements, such as charging stations, are in short supply which restricts NEV companies from expanding market share in the automobile industry. Further suggestions on research directions and government activities support the realization of the net zero carbon emission objective in the global context of environmental emergencies.
Enterprise Valuation Study: Taking Betta Pharmaceuticals as Evidence
Authors: Chen Zhehao
Published: March 2023

China's Growth Enterprise Market (GEM) debuted on the international stage on October 30, 2009. As the main force of the ChiNext board, biopharmaceutical companies have been committed to the research and development of innovative drugs unlike traditional pharmaceutical companies that only do generic drugs, and because of this, the value evaluation of such enterprises will change to a certain extent. Such enterprises will turn more to value creation in their business models, and corporate integration will also be improved, which will lead to a further increase in mergers and acquisitions of GEM pharmaceutical companies, and these changes will also make the demand for valuation of biomedical companies listed on the GEM continue to increase. In this context, this paper combines various factors and decides to select Betta Pharmaceutical as a case to evaluate the value of the enterprise. The research in this paper has important practical significance for restricting the development of the industry.
Case Study on a Semiconductor Manufacturing Company
Authors: Liu Yijiang
Published: March 2023

As a semiconductor manufacturing company, ABCtronics takes its own process and wafer health-related issues very seriously, as these issues can lead to increased costs and even major accidents. Semiconductor companies face many common problems. For the downtime problem, according to the provided data, if it is assumed that it conforms to a uniform distribution, it can be calculated that the probability of downtime is less than or equal to 5 hours is 86.75%. For the chemical impurity problem, this paper calculates the beta distribution, which shows that the company's current state of the manufacturing process is satisfactory. QRT proposes a new method (ICTM) for quality control strategies, which outperforms and replaces the original method (LATM). Then, when dealing with the related problems of the client interface, this paper chooses two distributions, namely hypergeometric and beta distributions, both of which show that the new technology adopted by ICTM can effectively improve the quality of the chips produced by the company. From the data presented in this paper, it can be deduced that the data for the time (in years) before IC chip failure conforms to the characteristics of an exponential distribution. ABCtronics has a good chance of meeting PQR system expectations for product life of six years or more. For the construction of sales data model, this paper finds and demonstrates that the multivariate linear model proposed by SMT is not very reasonable.
Research on the Influence of Social Media on Film Industry Marketing and Coping Strategies
Authors: Huang Chuyi , Lin Zihan , Zhou Zhehao
Published: March 2023

As a consumer good with schedule attributes, the publicity before the film’s public release is very important. With the rise of social media with participatory, interactive, and personalized features such as Douban, Weibo, Tiktok, and WeChat Moments, abundant marketing means have made it possible to expand the film market. Film distributors are also experimenting and exploring extensive social media marketing campaigns. During the film’s premiere, film distributors should live stream the event through social media to trigger comments and retweets from fans. It is also necessary to create an official Weibo of the movie, to initiate a topic on Weibo, to allow the topic to have a sufficient fermentation period, and through the interaction between fans of actors (stars), fans of the original novel, and fans of the movie, to achieve celebrity effect. Increase the discussion of the film, make more audiences pay attention to the film, resonate, and pave the way for the film’s release. This paper aims to identify the influence of social media marketing on the film industry and recommend some effective strategies that companies in the film industry can try to adopt while promoting their movies. The paper includes Methods 1 and 2 to obtain the quantitative data used in the later research. For the significance of this paper, it produces many business values for companies within the film industry to refer to, which can facilitate the development of the whole film industry in the later few decades.
Analysis of Financing Mode of Real Estate Enterprises: Taking Evergrande and Vanke as Examples
Authors: Li Yanyi , Lyu Ningxi , Yu Linglong
Published: March 2023

The development of the real estate industry has been increasingly restricted, especially after the novel coronavirus. In this case, it restricted development trend is more obvious, and some enterprises have fallen very sharply. This paper mainly analyzes the different financing situations of Evergrande and Vanke in real estate companies. To be specific, this study investigates and analyzes the financing mode of Evergrande and Vanke, combined with the real estate financing mode, and puts forward the future prospects and limitations of these financing models. The research methods we adopt are comparative analysis method and experience summary method. At the same time, we will analyze the differences between Evergrande and Vanke, and discuss why one of them went bankrupt after experiencing restricted development, while the other was able to continue to survive. According to the analysis, it is related to the financing methods they adopted. These results shed light on guiding further exploration of the real estate in the more volatile situation the most suitable financing model as well as policy implementation.
Foreign Direct Investment and Industry Income Gap
Authors: Wang Weihua
Published: March 2023

Since the reform and opening-up, FDI has played an important role in people’s daily life. In the early years, FDI went mostly to manufacturing. However, FDI absorption by the service industry has increased significantly in recent years. In this context, from the perspective of industries, it is very valuable to study the impact of the scale of FDI absorption on the income gap of different industries in China. This paper first analyzes the scale of foreign investment absorption in different industries in China and introduces the changing trend of the scale of FDI absorption in manufacturing and service industries at different times. Moreover, the average salary level of different industries in China has also been analyzed to understand the changing trend of the income gap in different industries. Finally, through the method of empirical study, using China's 18 industries in 2005-2020 panel data as samples, this article explores the relationship between absorbed FDI and average wages in different Chinese industries. It demonstrates that the inflow of FDI can polarize the income level between industries. Some explanations have also been given in terms of the empirical results.
Difficulties and Countermeasures of Headquarters Economy Development Under the Impact of Covid-19—Take Ningbo for Example
Authors: Zhi Zhuo
Published: March 2023

Regional economies characterized by clusters of headquarters from diverse industries stand out as influential dynamic economies. However, there is little discussion about these “headquarters economies”. Why do some metropolitan areas develop vibrant headquarters economies whereas others do not? The answer lies in understanding the essence of headquarters—the managerial talent pool that guides and governs these companies. Therefore, the headquarters economy plays an important role in driving economic development and managing the regional economy. According to the analysis, the development of Ningbo's headquarters economy is not fast enough. The impact of the epidemic on industrial agglomeration, talent agglomeration, and building vacancy rate are all important factors restricting the development of the Ningbo headquarters economy. This makes the development of the headquarters economy of Ningbo even worse. Therefore, how to develop Ningbo's headquarters economy is the most important part of Ningbo's economic development. This article puts forward suggestions from four aspects: business environment, industrial ecology, housing use, and the interaction between financial support and headquarters economy.
People Under Shark’s Attack connected with Tourism Economy based on Data Visualization and Multiple Linear Regression
Authors: Xu Shiming
Published: March 2023

In the 21st century, big data visualization is becoming a popular method to get insight of social problems and enables people to handle them properly. In the past few years, there was a growing worry about shark attack. Actually, a lot of people are under attack of shark each year, so it is necessary for people to get insight of the tendency and people can deal with such phenomenon correctly. This paper will mainly use data visualization, data mining and multiple linear regression to conduct an analysis. The number of people attacked by shark have risen dramatically since 1900 because of development of transportation and the more personal hobby of diving. Although shark attack accident has a negative influence on tourism especially sea sightseeing, people shouldn’t give up the prosperity of tourism. Instead, people are supposed to come up with some ideas to protect people from shark to make travelling safer.
A Study of L’Oréal Group's Marketing Strategy in the Face of the COVID-19 from a Macro Perspective
Authors: Liu Yujing
Published: March 2023

Since the global crisis of COVID-19 in early 2020, the global economy has been seriously affected. The consumers prefer to wear masks outside and have less desire to try make-up or buy cosmetic products, leading to a reduction globally in the demand for the aspect of fast-moving consumer goods. L'Oréal Group, a leading player in the makeup industry, quickly adapted its sales strategy to turn a negative situation into a profitable performance, standing out from the crowd of other cosmetic brands. In this paper, based on SWOT and 4P models, it will analyze L’Oréal Group's market strategies in the face of the COVID-19 through its excellent coping ability. According to different directions of analysis, it can find that L'Oréal Group's own huge competitive advantages in company's investment and research & design can enable itself to recover quickly from the enormous impact of the COVID-19 and the ensuing series of negative situations and return to the number one position in the industry. In the end, the summary of this case study will focus on the entire cosmetics industry. The analysis method in this work provides a paradigm to guide the marketing strategy transition of cosmetic industry when facing the public health crisis
Prediction of Ethereum Prices Using Linear Regression and Long Short-term Memory
Authors: Zhang Wenni
Published: March 2023

Contemporarily, the popularity and use of cryptocurrencies has risen along with their prices and Ethereum is the second most popular and largest cryptocurrency after Bitcoin. Cryptocurrencies are based on the blockchain, which is a decentralized technology that has the power to change any banking system. They have become an attractive investment for both traders and individuals looking to invest. The price of Ethereum fluctuates and is affected by various factors, e.g., the crypto trading exchange as well as supply and demand. Ethereum is so valuable because it can be used as cash and one also pay Ethereum in full or in part to someone in exchange. Besides, it is easily guaranteed by the blockchain. Unlike stocks, the price of Ethereum is much more variable because it is traded 24 hours a day and there are no closing times. On this basis, this paper compares the results of two different models, namely linear regression and Long Short-Term Memory networks (LSTM). The dataset comprised in the closing prices of the last 372 days for Ethereum. The performance of the obtained models is critically evaluated using statistical indicators Root Mean Squared Error (RMSE) and the study have drawn our conclusions based on the RMSE result. The paper demonstrates a technique for using time series data in both models and determining each model's RMSE. These results shed light on guiding further exploration of prediction Ethereum prices and trends.
The Statistical Analysis of HR Employee Retention, Salary Variation of Remote Work and Earthquake Occurrence Probability
Authors: Jiang Enxi , Zheng Jingyi , Zhu Jingyuan
Published: March 2023

As the fast development of statistical techniques, more and more statistical methods are widely used in different area. In this paper, we will conduct an analysis on employee retention problem, remote work salary problem, and the earthquake forecast problem based on statistical approaches. For the employee retention problem, we apply logistic regression to the HR employee retention data and successfully construct a model, which can predict each employees’ probability of leaving the company. As for the remote work salary problem, we apply multivariable linear regression to find out the impact of remote work on salary. According to the analysis, the type of remote work may have an impact on the salary. Compared to participants working on site, participants with 50% remote ratio had the mean of 17298.72 lower salary (P < 0.05). For the earthquake forecast problem, we construct a Poisson model based on the previous seismic data from Chinese mainland. Then we calculate the probabilities of earthquake occurrence and predicts the amount of earthquake in certain time interval and then verifies. These results shed light on guiding further exploration of statistical techniques including logistic regression, multivariable linear regression and Poisson model.