bluuebunny/crossref_metadata_2025 huggingface dataset:
The Degree and Generation of Localization in Marketing: An Empirical Study Based on Coca-Colas Localization Strategy
Authors: Qing Zhen , Zhang Xiannong
Published: September 2023

In a world where development is no longer limited by geography, globalization has become the slogan and goal of many companies. However, not many have noticed that companies that have achieved international sales, such as Coca-Cola, have adopted a localization strategy. This study aspires to examine the existing cases of localization in the market, how localization is implemented, and the impact of implementing localization, from both macro and micro perspectives. This paper identifies the marketing strategies used by the multinational beverage company Coca-Cola through an analysis of its advertising in China in the process of achieving global sales. Based on the marketing mix, this paper analyzes and compares countries with vastly different degrees of localization to determine the decisive factors for using localization strategies in the four areas of product, price, promotion, and place. Current marketing research on the success of Coca-Cola is still narrow, with studies limited to how marketing success is accomplished in a specific location but does not identify the underlying strategy that had led to such success, localization. Meanwhile, the market lacks practical guidance on localization strategies due to inadequate research and this study fills these currently identified limitations.
Differences Analysis Between China and the United States in the Development of E-commerce
Authors: Pu Xinlu
Published: September 2023

Nowadays, online shopping has become a very common form of shopping in China. The sales of shopping carnivals such as 618 and single day also allow people to intuitively see the continuous development of e-commerce platforms. But in fact, the Internet only entered China in early 2000, and e-commerce has developed so rapidly in just a dozen years. However, looking back at the United States, a country where the Internet was first used and developed, why do U.S. e-commerce platforms not gain such a large market share as China's e-commerce platforms? This paper takes this as a premise, compares the e-commerce brands of Amazon, the most important e-commerce industry in the United States, and Alibaba, the famous e-commerce company in China, to explore the differences between Chinese and American e-commerce, and analyzes the possible reasons for these differences.
Trade Relations in the European Gas Market Before and after the Russo-Ukrainian War: From a Game Theory Perspective
Authors: Wang Han
Published: September 2023

Europe is increasingly dependent on Russian natural gas imports. As Ukraine is the main transit country for gas trade between the two sides, the military conflict between Russia and Ukraine, which started in 2014 and has not stopped yet, has led to Europe's gas trade with Russia receiving an impact. Due to the importance of natural gas and the fact that this war was the largest in Europe since World War II, the trade relations between the European and Russian natural gas markets before and after the Russo-Ukrainian war and the diversification of natural gas in Europe have been studied by many scholars. This paper uses a review to summarize and sort out the relevant literature based on game theory to study the gas market trade relations in Europe before and after the Russo-Ukrainian War. According to these scholars, the trade relations between Russia and Europe in the gas market will continue to cooperate despite the impact of the Russo-Ukrainian war. The interruption of gas exports to Ukraine and the construction of pipelines bypassing Ukraine are acceptable to Russia and Europe. Iran, Azerbaijan, Turkmenistan, and Iraq, along with the United States, should actively invest in expanding their gas export capacity to have the opportunity to serve as an alternative to Russian gas and make Europe less dependent on Russian gas imports. This paper provides an understanding of the implications of the Russian-Ukrainian conflict for the world in terms of gas trade. This paper provides a reference for related studies, and to understand the impact of the Russian-Ukrainian conflict on the world from the perspective of the gas trade.
To What Extent Does Game Theory Influence Profit Maximisation in Organisations
Authors: Qu Sally
Published: September 2023

Incentives of employees are a crucial factor for profit maximisation in organisations since they directly affect the productivity of products to be sold into the market. In order to maintain a positive working status, organisations must think of efficient methods such as reward systems, to enhance the relationship between all workers. This paper will investigate the importance of an efficient organisational working group, and the application of different reward systems to maintain high-level incentives through an analysis of game theory models. The prisoners dilemma game and the boxed pig game will be introduced to analyse the advantages and disadvantages of reward systems, as well as the elimination of the free-rider phenomenon.
Discussion and Suggestions on Future Growth of OPPO
Authors: Wang Yixuan
Published: September 2023

The mobile phone market is always changing. In recent years, fashionable and cheap mobile phones like OPPO have become consumers' preferences, and their market share is also expanding. This research will make predictions about the development of OPPO in the next five to ten years. To make the forecasts reliable and convincing, the SWOT model and data from "Counterpoint" and "The Economic Times" are used. Generally, the international mobile phone market is slowly recovering, but the shortage of hardware components for Chinese brands, such as OPPO and VIVO, and the crisis between Ukraine and Russia made the expected fast recovery fail. For OPPO, its expansion is restricted by China's policy of COVID-19 and it faces serious shortages on making some core hardware components, hence in the future 5 years, OPPO is not expected to occupy much market share. However, in a future decade, it is hard to say. Although the influence of China's COVID policy restriction and the Ukrainian War is expected to disappear, the key restriction for OPPO is the limitation on components. OPPO should develop some core components independently to reduce the impact of the external supply market on the company's expansion. In addition, OPPO pays more attention to offline sales, and its sales have been greatly affected during the COVID-19 period. In the future, OPPO can expand online and other channels and can flexibly switch if similar emergencies happen in the future.
The Impact of Two-pillar Policies on Real Estate Prices in China
Authors: Zhu Yingze
Published: September 2023

Since the turn of the 20th century, China's real estate industry has been expanding, playing an increasingly vital role in fostering the growth of the national economy. On the one hand, rising housing costs can stimulate the growth of linked companies. Nonetheless, it also causes a number of social issues. Through theoretical research, this study examines the impact of two-pillar policies (monetary policy and macroprudential regulations) on real estate values in China. The analysis reveals that quantitative monetary policy influences real estate prices via credit scale, whereas price-based monetary policy influences real estate prices via loan interest rate. However, there is a tension in monetary policy between "boosting the economy" and "stabilizing property prices". When monetary policies govern housing prices, macroprudential policies, particularly LTV instruments, can avert systemic problems and compensate for the spillover effects on the real economy. Consequently, it is imperative to establish and enhance the regulatory framework for two-pillar policies.
Examining the Q-Factor Model in the Chinese Stock Market
Authors: Feng Zirui
Published: September 2023

The aim of this paper is to compare model the q-factor model with the Fama-French three-factor using multiple regression techniques and tests. This is done by constructing the market, size, value, investment, and return-on-equity factors with features tailored for the Chinese stock market using 60-month pre-COVID Chinese stock market data. One specific feature tailored for the Chinese stock market, which is eliminating the bottom 30% size of stocks to avoid shell value contamination of returns, is explained. Differences and similarities between the Chinese and the U.S. stock market that can be observed in the process and the results of the regressions and tests are discussed in the paper. It can be concluded that both models behave well in the chosen period of the Chinese stock market, but the q-factor model works slightly better. Other explanatory explorations are done in the paper as well. Limitations of the models due to practical reasons, e.g., the inconsistent changing dynamic of the Chinese stock market institution, and potential further explorations, e.g., potential shell stock pricing strategies, are also discussed in the paper.
Ocean Overfishing under the "Tragedy of the Commons" Theory
Authors: Tao Yijia
Published: September 2023

Today's poor overall marine environment and severe overfishing have led to some negative impacts around the world. The topic of this research is the effect of overfishing and how to solve the problem of overfishing. Besides, this paper used the literature research method to study this topic. The survey results show that overfishing has a negative impact on the local environment and the ocean in all three locations, Qingdao Jiaozhou Bay, Newfoundland fishery, Gulf of Aardvark. We should pay attention to this problem and start to deal with it. The paper argued that overfishing can affect marine biodiversity, reduce species or even lead to species extinction. In addition, overfishing increases the world's carbon emissions, which ultimately leads to global warming.
Research on Different Hedge Fund Strategies
Authors: Yin Mingrui
Published: September 2023

People are always pursuing the minimum risk while seeking for maximum profit when investing, so they often use a variety of different strategies or portfolios to reduce investment risk. Among these, hedge funds are the most common type of portfolio used by fund managers. By using different strategies to buy different stock portfolios, hedge funds can effectively hedge the risk of a single stock or fund, so as to minimize the risk. However, hedge funds contain many different strategies and not all the strategies can process effectively in the market. We must analyze the market and pick up the most suitable strategy. In this case, this article will discuss the effect of their actual operation in the market based on these strategies. The article will analyze five different hedge fund strategies, including three trades that are relatively successful and two trades which are relatively not so successful. Then the article will deeply analyze the reason why the strategy can fit the market or why did it fail the market. During the analysis, some strategies are suitable for the market while the other are not.
The Impact of Fintech on Credit Risk of Commercial Banks
Authors: Qiu Xinran
Published: September 2023

The financial sector is undergoing new transformations with high integration and deep su-perposition of science, technology, and industry, just as the world as a whole is going through significant changes that have not been witnessed in a century. Commercial banks must adapt to the new normal of financial technology and use new achievements without forgetting to control risks. This paper starts with the concept of fintech and the advancing fintech technologies. Then summarizes the existing methods of fintech quantification. Af-ter that, collect some influencing factors of bank credit risk. Finally link fintech with bank credit risk, and and review the research in this area. At the end of this paper, the limitation of the previous studies and the possible future research directions are proposed.
Comparison of Long-term Strategies Versus Long-short Combination Strategies in Different Industries
Authors: Lu Yixing
Published: September 2023

During the COVID-19 pandemic, the prospects for the development of the real economy are not very clear. Every investment decision an investor makes in this environment will bring different benefits to the investor. Comparing only long and long combinations allows investors to judge according to their own different situations what investment methods can make them more profitable or reduce the risk of investment. In Sina Finance, Investors obtained stock information on Li Ning, ANTA, Maotai, GUJING, Tencent and Power Assets Holdings Limited. Investors divided these stocks into three groups, and implemented a long-only strategy and a long-short combination strategy for them, and the final result made investors know that the long-short combination can alleviate some of the damage caused by only long, but at the same time, it may bring more pressure to investors. However, it does not specifically mean that a certain strategy can help investors get 100% returns, and investors need to choose the most suitable investment strategy according to their own situation and investment environment. That is, investors cannot blindly pursue interests and choose risks, nor can investors only pursue low risks and abandon interests, the two need to complement each other and make common progress, so as to bring investors the most suitable investment decisions.
The Best Investing Strategy for Beginners
Authors: Yu Jitong
Published: September 2023

More and more people are getting into the investment industry, which is not an easy job for some beginners. Complicated strategies and varied portfolios can often feel overwhelming and also lead investors into one misunderstanding after another. In order to reduce the hassle of investing, this article will pick the four most common and easy-to-understand strategies: momentum investing, comparing PEG ratios, merger arbitrage strategy, and market-neutral trade. From a version of beginner on how to start an investment portfolio. The background of the eight films selected in this paper will be introduced first, mainly about what the film does. Moreover, the uses of the strategy will be present, as the theory behind them. Then, this paper will present detailed progress, including stock price tendency, results, and future improvements. The calculation of PEG ratios and market-neutral strategy will also be included. Finally, a comparison is also made in this paper, which can deliver the feasibility of each strategy base on the four pairs of trades made. It also introduces how a manager new to stocks makes a decision and the results obtained and sums up a strategy that is most suitable for beginners to invest. However, it is just a brief explanation; different investment portfolios need to use different investment strategies and try more to get more returns.
The Influence of Inflation on the Consumption of Chinese Residents
Authors: Jiang Haocong , Ji Xun
Published: September 2023

China's inflation rate fluctuation is higher than that of developed countries in the same period, while the world has achieved remarkable economic development. With the economic growth and the increase of income, the problem of income inequality in China has become increasingly prominent. The polarization between rich and poor will affect social stability and become a huge resistance to building a well-off society in an all-round way. Exploring the relationship between inflation and income inequality, and proposing targeted measures to reduce the income gap, is of great practical significance for China to deepen reform and enhance people's sense of happiness and gain. China's economy has also been affected by imported inflation in the context of the global epidemic. This paper will analyze the basic theory of inflation and related effects, and focus on its impact on China's macroeconomic consequences. This paper uses the swot analysis method to analyze the current inflation test in China from the negative and positive effects, threats and opportunities, and interpret the relevant policies of China at the current stage and make a reasonable forecast of the future inflation trend.
Research on the Impact of Epidemic on Financial Markets in Terms of Two Basic Evaluation Methods
Authors: Yuan Kaizhe
Published: September 2023

The COVID-19 epidemic has influenced many aspects of financial market, and NPV and IRR are the most important and popular measurements for financial asset (investments) traded in financial market. It is foreseeable that the NPV and IRR are also influenced by the COVID 19 epidemic. The previous researchers have made deep and concise research of them, and this study compares the NPV and IRR from three aspects, including uniqueness, compatibility and assumptions, and use data of companies from North American since 2016 to explore how those aspects have been affected by the epidemic. The exploration process involves the data PIVOT, some statistics skills and data visualization. The conclusion is that the IRR becomes to some extent more reliable because of its higher uniqueness and increased effectiveness within compatibility, but rational investors might not use IRR as an unexceptionable benchmark because of its more unreliable assumption.
Stock Index Prediction Based on ARIMA Model
Authors: Hou Junhao
Published: September 2023

Stock index price forecasting is a very important thing for financial markets. Stock indices select the most representative stocks in the stock market, which are the most favorable representatives of the industry, sector or market. Successful prediction of them can guide investors to a good payoff and allow researchers to understand the workings of the market economy. Time series models are widely used in stock price forecasting precisely because they have the advantage of being able to predict in complex environments such as large shocks. Therefore, this paper introduces the process of using time series model - ARIMA model to establish the prediction of index price fluctuation. And the five-year-long stock index data from May 2017 to April 2022 of the CSI 300 index is used as the research sample to successfully predict the volatility trend of the CSI 300 index in May 2022. The outcomes demonstrate that the ARIMA model has excellent capability for short-term forecasting. and is capable of forecasting complex situations that cannot be accomplished by linear models.
Mental health condition can be seen through facial appearances
Authors: Wang Yuzhi
Published: September 2023

Mental health is essential to all of us. Research has shown that facial appearance can hold cues for symptoms of depression, and perceived mental health reflects actual mental health. However, little research shows the relationship between people's judgments of mental health conditions and facial appearances. Here we will discuss the relationship between mental health and facial appearance. We will collect photos of faces under different mental conditions and let observers rate their mental health scores. Moreover, we will also measure the observers' mental health condition to see whether people with mental illness can accurately judge faces under the same condition.
Relations Between De-industrialization and Terms of Trade: A Historical Review and Econometric Examination
Authors: Wang Junkai
Published: September 2023

The international trade and industrial structure since the industrial revolution have changed significantly featured with a booming trade volume and unprecedented speed of industrialization. However, under the current of industrial process of western nations, the third-world countries, are experiencing a de-industrial process. Through industrialization and de-industrialization, the structure of the world was significantly changed, and the world was later classified as the developed and developing nations. This classification still works for current world order. Thus, tracing the reason that the process of world classification is vital, which could better enhance the understanding of contemporary world. This paper aims to analyse the reasons for the de-indudstrialization in the peripheries with a historical and econometric review.
Fintech Application: Artificial Intelligence and Blockchain
Authors: Yu Bofan
Published: September 2023

From academia to manufacture, artificial intelligence has a wide application and influence. on financial market. Finance is one of the earliest industries have a great connection with artificial intelligence. Through accurate profiling, neural networks and a series of artificial intelligence technology apply to finance. The traditional financial products, service way, credit finance invest decisions, risk control, etc. will have an innovation. Analysis of base, impact mechanism, development directions, risks on combination between artificial intelligence and finance has great theoretical value and practical significance to promote further combination between artificial intelligence and finance. Blockchain, originated from the concept of digital currency, has an extensive application in series of industries. Governments, financial companies, technology enterprise all over the world show great interest in blockchains. Blockchain, a rising distributed database protocol, apply cryptography technology, time-stamped chain data structures and distributed consensus mechanisms, have achieved decentralization, immutability, easy traceability and many advantages. Blockchains have solved the problem, high cost and insecurity of traditional centralized system, which has broad application prospects. This article focuses on two representative technologies apply in finance, artificial intelligence and blockchains. Start with the definitions of artificial intelligence and blockchains. The significance part is analysis on application of these two technologies. It compares different charge of robo-advisor platform and analyze non-performing loans rate to show the advantage of intelligence risk control. It also introduces five types and characteristic of blockchains, and uses ripple as example to show application of blockchains in cross-broader payments.
Comparative Analysis of Different Investment Decision Indicators: NPV and PI
Authors: Rong Xinyan
Published: September 2023

Decision-making index is one of the key topics in today's research. Researchers have separately analyzed different investment decision indicators, but still lack comparative analysis. Therefore, this study compares NPV and PI, and analyzes their formulas, economic significance, advantages and disadvantages. The research results show that NPV and PI have the common shortcomings of the discount rates because of the similar calculation methods. For example, they need to determine the discount rates in advance and cannot compare items with different discount rates. When they are used, they will encounter difficulties in calculating the discount rates. In addition, although NPV has a wide range of applications and can be applied to a variety of situations, and the calculation method is relatively perfect, NPV is still due to the comparison of projects with inconsistent length and duration, and it not applicable to the comparative decision of independent investment schemes. The advantage of PI is that it can reflect the efficiency of investment, but relatively it also loses the ability to reflect the actual income level of the project. In actual decision-making, NPV can be used to determine the investable projects before PI is used to rank the projects under the condition of insufficient funds to ensure the full use of funds.
Explaining the Employment Situation of Chinese Students after Studying in the US
Authors: Bian Shuhan , Chen Yuxin , Han Jiacheng
Published: September 2023

In the context of the increasing awareness of sovereignty in the world and the changing relationship between China and the United States, the employment situation of Chinese students after studying in the United States is one of the hot issues of concern in today's society. For international students, the employment situation at home and abroad is changing and has changed dramatically, and the phenomenon of devaluation of "returnees" is becoming more and more common compared to the early days of reform and opening up. The research method of this paper is SWOT analysis, and the specific research methods are as follows: collecting the employment-related data of Chinese international students in the US in recent years, comparing the employment situation of international students at home and abroad by using SWOT analysis, and making a comprehensive analysis and evaluation of the employment situation of Chinese international students returning to China and staying in the US. To sum up, in the age of information technology, a large amount of information can be collected beyond geographical and spatial restrictions, and international students can even obtain information on time abroad. From the above, if the barriers to learning are removed, international students can overcome the obstacles and make up for the shortcomings with their own efforts.
Analysis of Chinese Financial Market under COVID-19
Authors: Shen Xinghan
Published: September 2023

As the world's second-largest economy with a population of 1.4 billion people, China has the world's most sophisticated industrial chain and occupies a critical position in the glob-alized world economic market with a strong manufacturing sector and a promising service sector. With a market mechanism that is very different from the free-market economy popular in the Western world, such as a completely different proportion of taxation, usual-ly the influence of the political system, the Chinese market often operates with huge po-tential profit margins and potential crises. It is often greatly influenced by policies, espe-cially under the epidemic in 2020. The purpose of this paper is to analyze the general fu-ture directly, exploring current trends from the domestic and international aspects and making a rational economy on a macro level by looking at market operations over the past few years, taking into account current trends, and making recommendations accordingly.
Study on the Relationship between Hang Seng Index and FTSE CHI Index in Hong Kong: Evidence from VAR Model
Authors: Cao Wenyi
Published: September 2023

The stock index is very important to study the overall trend of the development of financial markets and the development of the stock industry. This paper mainly studies the interaction between stock indexes and the influence of the main fields included in the stock index on the index and related indexes. In this paper, Hong Kong Hang Seng Index and FTSE CHI index were selected for research, and impulse response analysis and variance decomposition analysis were carried out on the data through VAR model. By analyzing the results, the following conclusions can be drawn: First, the model is convergent. Second, the influence from one market to another market persist for several periods. Third, with the increase of lag period, FTSE CHI HK Index was influenced by HK Hang Seng Index and finally stabilized at about 96.1906% and HK Hang Seng Index was influenced by FTSE CHI HK Index and finally stabilized at about 93.995%.
Analysis of the Development of the Social Media Industry in the Context of the Internet - Taking the Little Red Book App as an Example
Authors: Liu Zhiyu
Published: September 2023

When the 5G era comes, everyone is inseparable from the Internet, and the media industry has gradually entered the Internet era. Around the Internet, the media industry has undergone multiple changes. Some researchers believe that the Internet has played a role in promoting the development of the media industry, while other researchers believe that the widespread use of the Internet is not good for the media industry. In response to this issue, researchers hold their own opinions, and there is no unified explanation. The research topic of this essay is the media industry under the background of the Internet, and the SWOT model is used for analysis. The results show that although there are some problems in the development of the media under the background of the Internet, it is not impossible to solve. Once handled properly, the two are not mutually exclusive, but can achieve perfect integration, and the Internet will be a major catalyst for the development of the media industry.
A Study of the Business Modes of Lululemon and Alo Yoga
Authors: Yao Yuan
Published: September 2023

Fitness brands are on the rise in recent days, with the increading demand of peoples requirements of health. These fitness brands are further developed under the era of the pandemic. With their rapid development, the business modes of them are therefore of particular interest to the author. Furthermore, it is found that few research have been conducted in this area. Therefore, there existed a research gap in it. This research aims to take on this opportunity to build up on existing research in the business modes of fitness brands. It uses a comparative and case study approach to study two fitness brands, Lululemon and Alo yoga, to investigate their business modes and patterns. The result found that there are some similar modes and patterns while they remain unique in other asepcts of their businesses.
Relationship Between Real GDP, CPI and M2 During the Lost Decades and Abenomics Era
Authors: Man Keren
Published: September 2023

The lost decades and its solutions, especially Abenomics are famous topics when discussing about Japans economy. This paper mainly focused on the relationship between CPI, M2 and real GDP of Japan in both short and long run using VAR model and cointegration analysis, and find out that: (1) Changes in money issuance and gross output in the short run have a positive effect on the increase in the price index; (2) The increase in monetary issuance and price level does not directly bring about an increase in output, but rather affects the demand and reduces the GDP growth rate; (3) The real GDP performance in the long run shows changes in the same direction as CPI, M2 and the time trend. CPI has a positive effect on disequilibrium, while changes in M2 have the effect of eliminating the disequilibrium.
The Prospect Forecast of the Market Development of Chinese Elderly Care Institutions
Authors: Gao Yijia , Yue Yunfan , Zhang Kang
Published: September 2023

With the aggravation of population aging and economic development, China is not only facing more and more serious pension pressure, but also has greater capacity to support pension services, which has brought about the vigorousdevelopment of pension services. Obviously, it can be expected that there may be some internal relations among these indicators. For this reason, this paper selects relevant data from China's civil affairs statistical yearbook, takes the number of beds used by China's pension institutions as the main development indicator of the pension industry, establishes data links for different indicators such as GDP, the number and proportion of China's aging population, and uses linear regression with the least square method to establish mathematical models. After testing the regression coefficients, strong linear results are obtained. It can be concluded that there is a linear relationship between the development of pension services and the aging of the population and the development of GDP.
The Impact of Different Trading Strategies on the Same Portfolio
Authors: Zhao Wanrong
Published: September 2023

The frequent occurrence of political events, the spread of the epidemic and changes in policies of various countries have made the market more volatile. Due to the instability of the overall economic environment, investors are increasingly focusing on using strategies to improve returns, so this article selects several hedge fund trading strategies, analyzes the same trading portfolio, and compares the performance of different trading portfolios. Different effects of the same combination give spirits to investors when making transactions. The market neutral trading strategy is effective for the trading combination of F and NVDA. Based on different data, the long-short equity trade strategies are not completely effective, and the credit arbitrage trade strategy is not suitable for this trading combination. Market neutral trading strategies and long-short equity trade strategies basically meet the combination of F and NVDA, but due to the possibility of credit rating fluctuations, credit arbitrage trade strategy does not meet this combination. These different effects reflect some of the underlying factors in the market, so the analysis in this article will improve investors' understanding of investment strategies and change their previous trading thoughts. Taking these effects into consideration can help investors effectively avoid potential risks, make better choices, or obtain more returns.
The Impact of the Epidemic on Harbin Pharmaceutical Group Co.,Ltd.
Authors: Song Siyu
Published: September 2023

The purpose of this paper is to study the impact of the epidemic and the psychological impact of the public on the pharmaceutical industry through financial analysis. By understanding the psychological pressure that the epidemic caused on the people and the fact that the public started to believe the rumors and blindly follow them, thus causing a mass rush of Shuanghuanglian Oral Liquid during the epidemic, people can observe its impact on Harbin Pharmaceutical Group Co., Ltd. The financial statements can more visually reflect the changes in various aspects of the company during the epidemic and study whether the impact of the Shuanghuanglian incident on the company was huge and whether there were other aspects of the impact.
Game Theory in Companies: A Program-approach to Find all Nash equilibria in Games with Two Players
Authors: Li Sijia , Li Zhexiang , Liu Zhuang
Published: September 2023

Game theory is a famous mathematical formula for economic decision-making. When two companies launch competing games within a similar time frame in the game industry, they must choose wisely between launch dates, trailer release dates, and launch platforms to seek the highest return and lower risk. This report turns the three main strategies of the release time, the preview time, and the release platform into specific values and finds the optimal strategy choice using nash equilibria. Nash equilibrium is an essential concept in finding the optimal solution. Given the complexity of finding the equilibria, computational tools are used for the task. Software like Gambit, Game Theory Explorer and python programs are used for computing all nash equilibria. This paper quantifies the three main reasons that may affect the sales result: the timing and order of the trailer, the interval between launch days, and the release platform, and turning these factors into a pay-off matrix. According to the calculation results on those pay-off matrices, this paper formulates a set of well-founded game sales methods to maximize the company's profits.
The Impact of Research Development and Innovation on Enterprise Development: Case Study of BYD and Pfizer
Authors: Wang Yanli
Published: September 2023

After centuries of development, it has been proven that research and development (R&D) and innovation are the driving forces for a country to sustain its economic development and they are also essential to the development of companies. Scientific and technological innovation is strategic support to improve productivity and comprehensive national power, so companies' investment in innovation is increasing year by year. The main output of enterprises is concentrated in the fields of utility models, designs, and applied technology research and development. At the same time, national government policy has placed emphasis on the development of enterprise content and technological innovation, implementing a dual incentive system for enterprise R&D and innovation. This move has helped to energise companies in terms of entrepreneurship and innovation, while also reducing the cost of innovation and driving many new companies to invest in R&D. In this paper, the author discusses whether R&D innovation helps companies to grow by investigating the companys size, governance structure, financial report, and A-share market returns. It is found that R&D innovation is a good driver of business development and can bring advantages to companies.
A Study on the Marketing Strategy Development of Logistics Companies under COVID-19
Authors: Hua Bowen
Published: September 2023

Logistics involves the process of coordinating and moving resources people, materials, inventory, and equipment from place to place. This paper focuses on the logistics market from the outbreak of COVID-19 to the present. The purpose of this research is to show logistics companies' perception of development and innovation during the COVID-19 pandemic. All findings were based on the data from specialised data research faculties and annual reports of logistics corporations, and a comparison of the company strategy applied before and during the pandemic was made. This helps to assess the companies from different aspects, such as challenges, preventive strategies, and future development. Yet, in the face of the pandemic, there was a lack of information on how logistics companies improve their business model. The results of this research suggest that the logistics company is severely impacted especially in the aviation industry, however, due to travel restrictions, companies are mainly focusing on the cargo transportation business.
The Analysis of the Impact of Covid-19 on Chinas Tourism Industry
Authors: Yan Ruiyi
Published: September 2023

Tourism in many parts of China has been hit hard by the Covid-19 outbreak. This study provides a comprehensive analysis of the impact on the tourism industry in China before and after the epidemic, the current situation of tourism shutdown and damage, and the impact on the overall tourism market. In addition, the study analyzes the current state of the population's willingness to travel. The paper will use the tourism industry in Sanya and Daqing as case studies. In order to get rid of the impact of the epidemic as soon as possible, Chinese small and medium-sized enterprises have to come up with reasonable and effective measures to cope with it. For this reason, China should work together to fight the epidemic and make a concerted effort for the early recovery of tourism.
Success of Nintendo Switch in 3C Marketing Model
Authors: Hu Jinkun
Published: September 2023

The Nintendo Switch is a type of game console that was designed by Nintendo and offered for sale in March, 2017. Since the Nintendo Switch was on sale, it was fascinated by plenty of customers and game fans to buy it because of its unique property of its combination of home game consoles and handheld game consoles, and it became the best-selling gaming console in 10 months in North American history. Most of the success of Switch will be attributed to its subversive design. However, the uniqueness of a new product is only the start of success for a company. The marketing strategy, which was based on the 3C marketing model and implemented by Nintendo, is the key to the success of the Nintendo Switch. This research uses a comparative analysis approach and statistics analysis, studying and comparing the data of sales, groups of customers, and companys cost from Nintendo and its competitors, to arrive at the conclusion that, due to the special design for customers, efficient production for the company, and targeted strategy for competitors, the Nintendo Switch has become one of the most popular game consoles in the world.
Sales Prediction of Big Mart based on Linear Regression, Random Forest, and Gradient Boosting
Authors: Kang Ruiyun
Published: September 2023

With rapid development of machine learning and data science approaches, many retailers are employing sales prediction to aid in strategy formulation and profit growth. However, it is challenging for some small merchants to access vast volumes of data for analysis. This paper investigates the viability of predict sales in a small-scale retail supermarket, and evaluates the performance of linear regression, random forest, and gradient boosting method in the corresponding limited dataset. The selected metrics for analysis are RMSE, MAE, and R2 score. Experiment results indicate that the linear regression model has a relatively large error and suffers from underfitting. The two decision-tree based models, random forest, and gradient boosting, perform similarly, with gradient boosting model outperforms by a small margin. This study illustrates that it is feasible to perform sales forecasting by machine learning techniques on a small collection of data. It also identifies the issues in this process and suggests potential fixed, giving small retailers a guideline for making effective sales predictions.
Markowitz and Index Model in Capital Markets
Authors: Shan Junhao , Sun Bangzheng , Li Yue
Published: September 2023

Investment has become an essential subject in this age, and the Markowitz Model is one of the most classical theories. However, after this, a new model is based on it borne. Nevertheless, it is similar to the Markowitz, so we want to figure out why this new model is better than M. In this work, we use excel to make two models called Markowitz and Index and displaying them. As a result, we found that the Index Model does better than the M because of the higher slope. With this conclusion, investors can use them to choose their best combination.
Analysis of Burberry's Marketing Strategy
Authors: Yan Yating
Published: September 2023

Over the past decade, digital marketing has become essential to an organization's market-ing strategy. As a leader in the luxury market, Burberry's digital marketing is the core part of its operation. It has successfully adopted digital marketing strategies to attract the younger generation. As a form of online marketing, it has enabled Burberry to build its brand image and revolutionize the marketing industry. The brand's digital marketing is re-flected in its product design, campaign videos, creative content, and choice of marketing channels. This paper analyzes Burberry's digital marketing strategy and provides sugges-tions for the luxury industry based on Burberry's analysis.
Analysis of Chanel Marketing Strategies in the World Luxury Fashion Market
Authors: Xie Caiqing
Published: September 2023

The luxury market is a unique fashion market that provides more than necessary products to satisfy people in the wealthiest class. Chanel is a French luxury fashion brand that was founded in 1910 in Paris by Coco Chanel. This paper uses 4Ps marketing theories to analyze the reasons for Chanel's outstanding marketing performance worldwide, especially in China. The conclusion shows that Chanel keeps its unique personality to attract more demands from young people and also insists on the consumer base of wealthy people.
Should Apple Raise Wages? What Happens if They Immediately Raise Wages per Worker by 15%?
Authors: Li Tianyi
Published: September 2023

This paper focuses on how increasing wages affects employees and companies. Primarily, it uses an efficiency wage model to confirm that increasing wages leads to increased employee productivity and reduced laziness, as well as increased firm productivity and attracting more highly skilled employees. The paper also examines what the benefits of a 15% increase in the minimum wage are to the firm. Increasing the minimum wage can reduce employee turnover as well as the firm's production costs.
The Impact of COVID-19 Pandemic on Singapore's Resilience in Real Estate Market
Authors: Chen Guanliang , Liu Xinqi , Yang Yuxuan
Published: September 2023

Contemporarily, most of the research into COVID-19-induced mania in the real estate markets leaves public housing in the cold. Singapore with its robust public housing system provides the world with a perspective on another merit of such a system, particularly when a country takes on exact challenges. Deployed the method of qualitative analysis, this pa-per extracts data to dissect Singapore's real estate market consisting of public housing, pri-vate housing, and commercial properties. We analyze common causes behind increased home prices in Singapore (e.g., a new stamp duty regime and the pandemic-induced fi-nancial relief measures) and conclude that the whole of the housing in Singapore will be resilient based on reverting supply and its fundamentals. Besides, the disparate systems in public housing and private housing have created space to shield their residents against shocks. Although it is hardly stopped to channel demand from private housing to public housing, private housing can cushion blows for the public. Additionally, by analyzing pieces of news and financial figures, the paper verifies the saying that "this is a world that is ever-changing." Even if the brick-and-mortar barely falters, the purpose of doing busi-ness is vicissitude. Therefore, the paper expects a transformation in commercial real estate in Singapore.
The Effect of Basic Education, Health, and Racial Factors on the Spatial Distribution of Poverty Rate in Los Angeles County
Authors: Liu Jianrui
Published: September 2023

This work focuses on the spatial distribution of poverty rates in Los Angeles County and the impact of multiple socioeconomic factors on poverty rates and distribution. The scale of the study is based on census tract to ensure the fineness of the study. The three socioec-onomic factors are basic education, health, and race. The primary research method was to perform regression analyses on socioeconomic factors and poverty rates. Initially, a con-ventional Ordinary Least Square regression analysis was conducted, and it was found that this model did not explain the distribution of poverty rates by region in Los Angeles Coun-ty well. Therefore, a geographically weighted regression model was applied to explain the relationship between different socioeconomic factors and poverty rates. It was found that basic education has the effect of reducing local poverty in relatively poor areas; while for wealthier areas, merely receiving basic education is insufficient, which leads to higher poverty rates. Health insurance is more of a burden for relatively poor areas, thus worsen-ing poverty, while for relatively affluent areas, health insurance can help alleviate local poverty by avoiding high medical bills. In areas where one ethnic group is concentrated, an increase in the proportion of one ethnic group has a positive effect on reducing the local poverty rate, but in areas where other ethnic groups are concentrated, it has a negative ef-fect on reducing the local poverty rate.
Analysis on the Profit Recovery of China's Budget Airlines after the Epidemic -- A Case Study of Spring Airlines
Authors: Liu Zichen
Published: September 2023

The purpose of this paper is to explore the changes in profitability of Spring Airlines, the representative low-cost airline in China, after the epidemic and to explore the reasons behind the changes in profitability. I compared three years of operating income, operating profit and operating cash flow, plotted the time series of passenger number changes for 31 months starting from December 2019, collected from government websites and summarized the national relief policies for the airline industry after the outbreak. I find that both operating income and operating cash flow rise above pre-epidemic levels in 2021, mainly due to the recovery and rise in passenger numbers driven by the improvement in the epidemic and the strong growth forces inherent in the low-cost airline market; however, profits show the opposite trend, mainly because aviation fuel prices bottom out and then rise in 2020, driving up the company's operating costs and compressing its profits; I also explore the impact of policies and find that multi-faceted, aggressive policies do largely reduce the pressure on the company to survive during the epidemic.