bluuebunny/crossref_metadata_2025 huggingface dataset:
Preface: 2nd International Conference on Global Business and Management Science (GBMS 2022)
Authors: Turner Abigail , Zhang Hui
Published: October 2022

The 2022 2nd International Conference on Global Business and Management Science (GBMS 2022) was held during July 30-31, 2022 in Kunming, China on the basis of Hebei Normal University, China and Northern Arizona University, USA. It is one of the conferences for presenting novel and fundamental advances in the fields of global business and management science.

GBMS 2022 provides an excellent international platform for the academicians, researchers, and industrial experts from around the world to share their research findings with the global experts. The event is also an opportunity for PhD students in this area to moot their dissertation works to a global audience. The key intention of this seminar is to provide opportunity for the global participants to share their ideas and experience in person with their peers expected to join from different parts of the world. In addition, this gathering will help the delegates to establish research and business relations and linkage for future collaborations in their career path. We hope that the outcome of this seminar will lead to significant contributions towards creation of new knowledge.

The idea of the GBMS 2022 is for the scientists, scholars, engineers and students from the universities all around the world and the industry to present ongoing research activities, and hence to foster research relations between the universities and the industry. There is a real opportunity among a wide range of scientists, teachers, industry representatives, and students in various fields related to global business and management science, to exchange ideas, share knowledge and establish close cooperation.

Regards,

The Organizing Committees of GBMS

Kunming, China
Prediction and contribution analysis of CSI 300 Stock Index Futures based on KPCA-LightGBM
Authors: Wang Difei , Huang Yi , Ren Chengxin
Published: October 2022

Stock index is a price index compiled to measure the trend of the overall price level of the stock market. It can sensitively reflect the changing situation of the economy of the host country. It is of great significance to study the influencing factors of stock index and make predictions. (Light Gradient Boosting Machine LightGBM is a new type of integrated algorithm based on decision tree. This paper builds a model based on LightGBM algorithm to predict the trend of stock index futures and calculate the influence of each dependent variable on stock price, which can help investors to make investment decisions and has strong theoretical and practical significance. In this paper, based on the previous research on the prediction model and related literature review, a feature system of 5 first-level indicators and 32 second-level indicators was constructed. Kernel principal component analysis (KPCA) was used for dimensionality reduction. Finally, LightGBM algorithm was used to adjust and train the data set after dimensionality reduction. In this paper, KPCA-LightGBM based CSI 300 stock index futures prediction and fitting precision is high, can basically meet the prediction requirements, has practical investment application value, and lays a foundation for future improvement and research.
The Influencing Factors of Income in the UK under the COVID-19 Epidemic
Authors: Shu Yutong
Published: October 2022

In December 2019, there was a sudden outbreak of a highly contagious disease which is named coronavirus (COVID-19) in China. In just two months, the coronavirus has spread to nearly 50 countries. In 2020, the epidemic caused a large number of employees losing their jobs. This paper taking income as the main research object, because when the employees were unable to make profits for the companies or enterprises, many enterprises were living beyond their means and were on the verge of closing down. As a result, Lay-offs increased and employees' incomes were affected. After that, it is still necessary to collect data such as employment and education and other independent variables. This paper adopts linear regression and nonlinear regression to explore the relationship between income and other influencing factors. Besides that, the research will also focus on whether these data are independent and build a model between income and other influencing factors. Finally, this paper will draw a conclusion that income has a strong relationship with employment. After building a model, it also proves that crime also make a difference to the income.
Valuation Analysis of New Energy Vehicle Industry Stock Price Based on HP-ARIMA Method
Authors: Xiao Zhuoyi , Lai Tianlong , Wu Mei
Published: October 2022

In recent years, new energy vehicles have become one of the mainstream trends in the global auto market. By analyzing the valuation of the stock price of the new energy automobile industry, the actual value of its stock can be found, thus providing a specific reference for investors. Based on this, this paper investigates the fluctuation of daily average stock prices using the HP-ARIMA method, and performs predictive analysis, robustness test and heterogeneity analysis on the given data. After separating the short-term fluctuations and long-term trends of daily average stock prices based on the HP filtering method, the predictions were made by the ARIMA model. The predicted results were tested for robustness by OLS regression and Tobit model, respectively, and the following findings were obtained: (1) Through the analysis of HP filtering method, the cyclical fluctuation of the stock price of the new energy automobile industry is relatively large, and upstream enterprises affect the middle and downstream enterprises to a certain extent. (2) The prediction analysis by ARIMA shows that the prediction accuracy of upstream enterprises' share prices is relatively high, and the prediction results have good robustness. (3) The regression analysis shows that the fit is good for upstream and downstream enterprises, and the change trend shows a positive correlation, while the midstream enterprises show the opposite trend.
The differences and similarities of director’s compensation incentives in 4 companies and how to impact the whole company
Authors: Huang Jiaxing , Li Junhao , Tang Yahui , Yan Junlong
Published: October 2022

Every company in the world that wants to achieve good profits or successful must have some rational policies to encourage employees to exert more effort. This article focuses on research the policies of 4 companies which are Walmart, Dollar Tree, Dollar General and Target, how to encourage their directors to make more efforts and make the company more successful. Specifically, analyze their annual financial statements and their companies’ policies toward employees to see what helps employees trust the company more and to working hard. Also, put forward the corresponding shortcomings of the company compared with other companies how to do better. The results show that the company should pay more attention to the compensation incentive of directors. Only when the responsibilities, powers and interests of directors are well planned, it can the activity of the whole company be well adjusted. Thus, suggest that every company should improve the board structure in the early stage. Only in this way can ensure that the subsequent operation of the company is efficient.
Analysis of Electronic Industry Stock Price Valuation Based on HP-ARMA Method——Take 9,105 Samples from 15 Enterprises
Authors: Huang Yizhi
Published: October 2022

The electronics industry plays an increasingly important role in GDP, and it is of great significance to study the valuation of the stock price of the electronics industry. In the process of reading the literature, the author found the possible deficiencies in the related fields: (1) The existing studies lack timeliness and are of little reference significance. (2)There is less research on stock price valuations in the electronics industry. After summing up the previous theoretical results, in the electronics industry sub-plate: semiconductor, consumer electronics, PCB, optical optoelectronics and security take 3 leading stocks, the data of 607 trading days of these 15 stocks from 2020 to July 6,2022 are selected. Based on the ARMA model, the long-term trend of stock price separated by HP Filter is used to predict and analyze the future stock price. According to the overall empirical results, this paper draws the following conclusions. (1) The semiconductor sector is more dependent on imports, and the stock price volatility is higher; (2) The stock price of companies with smaller assets is less correlated with the number of trading days; (3) The overall stock price of the electronics industry basically shows a steady upward trend, with huge growth potential.
The impact of user’s perceived value on the willingness to pay for membership on Internet platforms
Authors: Deng Jinjing , Li Jiayi , Wang Xintong
Published: October 2022

The user base and market size of the Bilibili platform are now expanding quickly, and the corresponding industry has a considerable market potential. Previously, there are not plenty of empirical researches on users’ intentions or behavior on Bilibili (one of China's more advanced video networks). In this regard, this study selects Bilibili users as the research subjects, develops a model of factors influencing willingness to pay from the users' perspective, integrates theoretical and empirical tests, and investigates the effects of each element on desire to pay. According to the analysis, subjective norms in users' perceived value are the direct factors affecting users’ willingness to pay for Bilibili, while perceived usefulness, entertainment, cost, sociability, and risk indirectly affect consuming intention for Bilibili through perceived value. Overall, these results shed light on guiding further exploration of enhancing consuming intention of customers from the perspective of users' perceived value.
A Validation of the Algorithmic Formula for the Relevance of Douyin Users’ Favorite tags
Authors: Cao Weijie , Li Jin , Meng Xinran
Published: October 2022

By June 2022, the number of monthly active users of Douyin has exceeded 800million. Since its launch, it has been favored by many users because of its tag push mechanism. The tag push mechanism has become one of the core characteristics. This paper investigates the accuracy and feasibility of a recommendation formula for the Douyin tags’ relevance algorithm. A questionnaire survey is carried out and then empirical analysis in terms of the collected data is carried out to find out the relevant coefficients between different tags and compare it with the actual data collected by Douyin. Based on the results of the questionnaire, the food and life tags had the highest relevant coefficients. Subsequently, the food tag is selected as the main object of study. After further processing and analysis, the relevant coefficients between food and life tags was even higher, confirming the feasibility of the tag relevance recommendation algorithm. These results shed light on guiding further exploration of Douyin algorithm.
Analysis of the causality, meanings and result behind ‘follow the flow’ phenomenon
Authors: Pan Junhao
Published: October 2022

With the rapid development of the Internet, the trend of monetization of self-publishing has emerged. Under this trend, many self media operators want to achieve greater benefits by 'Follow the flow'. The theme of this study is to clarify the causalities, meanings and results behind the phenomenon of 'following the flow' by reviewing and combing the relevant literature, as well as in the form of a questionnaire, and analyzing the collected data. According to the analysis, the four main ways of cashing in for operators under this trend are clarified, which are live-streaming with goods, fan reward, advertising implantation, and paid knowledge cashing. It also clarifies the means to get more revenue by following the flow based on these ways of realizing. The analysis of the negative and positive effects behind these methods and means clarifies the causes of 'Follow the flow' for self-media account operators. Overall, these results clarify the situation of 'cashing in on flow' for self-publishing account operators in today's era of self-publishing popularity. Besides, this paper paves a path for operating their accounts and publishing content to provide informative guidelines for practice.
Performance Comparison Report of Two Banks ——Take J.P.Morgan Chase & Co and Bank of China as examples
Authors: Wang Jing
Published: October 2022

The purpose of this study is to analyze the financial performance of two commercial banks from 2018-2020. One is J.P.Morgan Chase & Co, a best-known financial institutions; the other is Bank of China, one of the largest commercial banks in China. Quantitative analysis was chosen to analyze sets of ratios and then to measure the bank performance. After the computation of the relevant ratios, conclusions were made under the comparison of the two banks.
The Association Between U.S. Technology Company's Performance and Non-employee Director's Compensation Policy
Authors: Jin Yihua , Xie Gefei , Zhou Bailin
Published: October 2022

Directors’ compensation policies are one of the strategies that the firm's management team and shareholders have of great concern over. Some research shows that policies have a specific association with the individual company’s performance. However, this still lacks a unified explanation. Therefore, the research theme of this paper is the relationship between non-employee directors’ compensation policies and the firm’s performance. This study examined the data public by SEC and PayScale and focused on four U.S technology companies: Meta (Facebook), Twitter, Splunk, and Akamai. The study compares the impact of different compensation policies on these four companies operating capacity, revenue capacity, and stock price. After researched the performance of these four technology companies, the result showed that compensation policy for non-employee directors may have a particular impact on a firm's revenue and its stock price, but the study also showed the impact is not significant because the correlation is a failure in some years for these four companies.
The Influence and Enlightenment of Lao Tzu's Philosophical System on Modern Enterprise Management
Authors: Su Wendi
Published: October 2022

A full exploration of the essence of management science in traditional culture is an important path for modern enterprises’ innovation in management thought. Taoist culture is an important branch of traditional Chinese culture. Lao Tzu's philosophical system contains not only rich philosophical, ecological, and military thought, but also rich management thought, playing a quite conductive role in constructing a management theory that tailors to local reality in China. Lao Tzu's management philosophy, such as " Dao follows what it is", "non-contention ", "the Supreme Good is like water", have been widely considered as excellent management philosophy and used in business management by many entrepreneurs. For modern Chinese enterprises, an in-depth study of Lao Tzu's philosophy will help achieve the best management state. In this context, this paper gives a systematic analysis of the influence and enlightenment of Lao Tzu's philosophical system on modern enterprises’ management.
Prediction for the Customer Behavior in the Financial Institution Based on the Machine Learning Algorithms
Authors: Deng Hongyu
Published: October 2022

Investigation for the customer behavior is an emerging field that many studies fouces on in the past. In the field of the bank, predicting whether the customr will leave or not is an important question. This study mainly tries to figure out what is the most influencing factor of a customer when they choose to exit tone financial institution. It is important that the company get the rational prediction, which could help them to make the right decosison to maintain and retain the customers. We use the random forst and Neuralnetwork algorithm to do the process. The factor age is the most influencing factor which world affect the exiting decision. This paper firstly predicted that the factor age is the most influencing factor, since the age is a factor which could make the customer change their decision based on their experiences and savings. Generally speaking, the results fit the prediction in this study. The results of this work is that the factor age is the most influencing one, and the factor gender matters the least. Other factors such as CreditScore and Salary are also play an important role when the customers make the exiting decision. Besides, there is also an interesting finding. The German customers seem to be more possible to exit one financial institution.
Analysis of the impact mechanism of digital transformation of enterprises-Based on the perspective of intergenerational inheritance of family enterprises and textual analysis method
Authors: Chen Jie , Chen Xuezhong , Chen Huanlan , Zheng Sheng
Published: October 2022

With the increasing development of digital economy, optimizing intergenerational inheritance and improving intergenerational mobility of family firms are crucial to the digital transformation of firms. This paper analyzes the word "digital" in the annual reports of A-share family firms in Shanghai and Shenzhen from 2009 to 2020, and assesses the extent and mechanism of the impact of intergenerational succession on the digital transformation of family firms. The study found that the intergenerational succession of overseas-trained successors can effectively promote the digital transformation of enterprises, improve the economic efficiency of enterprises, and facilitate the internal regulation and innovation of family enterprises at the level of "management perception". In particular, this influence can be heterogeneous depending on the size, equity concentration and life cycle of the company. Therefore, we should take into account the differentiated characteristics of the enterprises themselves, promote development through regulation, and play an active role in the digital transformation of enterprises through intergenerational inheritance.
The Impact of Macro Regulatory on Cryptocurrency Fluctuation: Evidence from China and the US
Authors: Han Yaning
Published: October 2022

Bitcoin is the highest market capitalization product among virtual currencies today, attracting investors from all over the world. The attitudes and policies of governments towards bitcoin are a key concern for investors, and policy changes may have some impact on the bitcoin market. In this paper, the main topic is the changes in bitcoin market returns and volatility for different periods (one week, two weeks, and 1 month) after the U.S. and China proposed policies that have a negative impact on bitcoin by using an ARMA-GARCH model. The study shows that in the long-term perspective, the seemingly devastating policies did not generate much volatility in the overall market to shake investors' long-term investment enthusiasm. This study provides countervailing evidence to support investors who are overly concerned about Bitcoin's reduced investment value due to tough government regulation, boosting investor confidence.
The Influential Factors on Customer Loyalty Based on Marketing Mix Theory
Authors: Sun Weichieh
Published: October 2022

With the rapid growth of China's luxury market, many luxury brands have shifted their sales focus to China, in which resulting in many brands taking root in China one after another. The purpose of this report was to explore how Hermes utilized its marketing methods to influence customers' loyalty. A good marketing strategy can not only bring better benefits to the company but also reflect the influence of a brand in the market to a great extent. And this paper was based on SWOT analysis by adding 4Ps into the model, and it was appropriate to analyze which sectors will affect loyalty more. Based on SWOT analysis, the paper can find that product and price are the biggest factors affecting customer loyalty because product and price are the faces of a brand, and play a very important role. Even though product and price are very important, promotion and location in 4Ps also have little impact on customers. However, if compared with price and product, its impact is less obvious.
The Big Data Era of Online Surveys Generator: How can Typeform Win the Game?
Authors: Zhang Zehui
Published: October 2022

Living in the world overwhelmed with data, we intentionally or not generate, send, collect, utilize and analyze a lot of data every day. Data is taking over more and more of our lives, and playing an increasingly important role. This paper starts with a generally big data background to why online survey generators matter, and finally specifically analyzes why Typeform is at the top1 in this field along with illustrations of Differentiated competition and the POCD framework. This paper will show how differentiated competition works in real life and the importance of setting a proper competition strategy.
An Analysis of the Competition between Universal and Disney
Authors: Wang Luoqi
Published: October 2022

One of the strangest feuds on the internet is the battle between Universal and Disney loyalists. Based on scale, it’s a lot like fans of the Hartford Yard Goats hating the New York Yankees, but the Goats have shown a lot of promise in recent years. They hired a wizard back in 2010 and have risen fast after that. Think of them as a team full of top prospects with plenty of potential. Universal’s problem is that they didn’t get their start until 1990. They’re effectively an expansion team compared to Disney, who founded the theme park industry in 1955. To my mind, Universal has done a tremendous job in catching up over the past decade. In 2009, they had only 23.7 million guests. By 2017, that number had more than doubled to 49.5 million. Disney’s still tripled them with 150 million annual park visits, though.
The rivalry between Disney and Universal studios in the midst of the pandemic
Authors: Zhang Chengkai
Published: October 2022

Disney and Universal has been rivals for several decades, they have produced a large number of excellent films and have their own theme parks separately. In the moment of epidemic outbreak, both of them undergo challenges. This paper compared the Disney and Universal studios, and analyzed the two companies how to deal with and solve difficulties in epidemic situation, facing what difficulty brought for the two big companies. Those two company's competition did not stop, instead, they thought of another way of competition. In a rapidly changing network era, the competition between the two studios is also becoming increasingly fierce. This paper analyzes their differences in content production and theme parks, and also points out the different strategies in IP operation between them. The paper concludes that the success of Disney and Universal Studios lies in that they take the production of cultural content centering on film and television IP as their core business strategy.
What can we expect from high oil prices? ——Evaluation of Chevron Corp.
Authors: Xu Junze
Published: October 2022

Chevron Corp. (NYSE: CVX) is one of the market leads of the energy oil and gas industry. The company primarily consists of two parts: upstream and downstream. The upstream is responsible for producing, processing, transporting crude oil, while the downstream operations includes refining it into petroleum products, manufacturing and marketing the commodity to the world. This paper mainly use the SWOT analysis to comprehensively access the Chevron company and its stock performance.
Preface: 3rd International Conference on the Frontiers of Innovative Economics and Management (FIEM 2022)
Authors: Zhou Xixi , Austin Yedda
Published: October 2022

The volume is the collection of papers presented as the 3rd International Conference on the Frontiers of Innovative Economics and Management (FIEM 2022), which was held on September 29-30, 2022. It was co-organized by Suzhou Wenyu Information Technology Co., Ltd. and Suzhou Branch of Zewang Investment Co., Ltd.

This event provides an excellent international forum for sharing knowledge, the result of innovative research and methodology both in theory and practice in several scopes such as economics, business, management and related interdisciplinary subjects. The conference aims to provide an interactive platform to the researchers and practitioners from both academic societies as well as industry to meet and share cutting-edge development.

This FIEM 2022 received 124 manuscripts, and more than 40 submissions had been accepted by our reviewers. By submitting a paper to FIEM, the authors agreed to the review process and understood that papers undergo a peer-review process. Manuscripts were reviewed by appropriately qualified experts in the field selected by the conference committee, who gave detailed comments and-if the submission was accepted the authors would submit a revised version that considered this feedback. All papers were reviewed using a double-blind review process: authors declared their names and affiliations in the manuscript for the reviewers to see, but reviewers did not know each other’s identities, nor did the authors receive information about who had reviewed their manuscript. 

Xixi Zhou

Soochow University

Editor of FIEM 2022 

 Yedda Austin

 New York University, USA

Editor of FIEM 2022
Analysis of the operation efficiency of new foreign trade forms under the background of digital economy
Authors: Gong Yuqin
Published: October 2022

Based on the digital economy, this paper puts forward a new business model of foreign trade export, and takes Amazon as an example to analyze the operation efficiency and propose the reform of the operation mode which provide personalized value-added services for businesses on the basis of investment attraction and change direct sellers into service platform. In view of the economic utility brought by the datamation and intelligent operation mode of Amazon, combining with the current operation situation of our cross-border export enterprises, this paper puts forward practical suggestions on improving the export logistics system of foreign trade and diversified services for export of foreign trade.
Research on the measurement of China's common prosperity development level and the characteristics of temporal and spatial evolution
Authors: Fan Zifu , Gong Ya , Tao Youpeng
Published: October 2022

Combined with the connotation and extension of common prosperity, the evaluation index system of common prosperity development in China is constructed, the index data of 30 provinces and cities (excluding Hong Kong, Macao, Taiwan and Tibet) from 2013 to 2019 are collected and sorted out, and the entropy value method is used to calculate the development index of common prosperity in China, so as to quantify the development level of common prosperity in China, and the difference coefficient method and the Moran index are used to further reveal the spatio-temporal evolution characteristics of China's common prosperity development, and put forward corresponding countermeasures and suggestions for the problem deficiencies. The study found that the overall and regional common prosperity development in China continues to improve, economic development, innovative development, green development, common development, public services as a whole to maintain a steady improvement, but still have growth potential; the uneven distribution of innovation development level and common development level is the main manifestation of the development gap of common prosperity among regions, that is, technological innovation and the gap between citizens, regions, and urban and rural areas are the main sources of unbalanced development of common prosperity among regions; the development of common prosperity between regions shows a significant spatial aggregation effect, but the level of focus is low. The capacity for coordinated development of common prosperity among different regions needs to be further strengthened.
Research and Analysis on Financial risk of SL Company
Authors: Jiang Hongyun , Li Shouyong
Published: October 2022

The application of big data technology has promoted the rapid development of Chinese e-commerce and retail enterprises, and the birth of new retail model has also brought new vitality to the retail industry. However, the outbreak of COVID-19 has not only aggravated the contraction of economic demand, but also seriously retarded the development pace of major retail enterprises, which are facing increasing financial risks. Based on the F-score model, this paper selects the financial data of retail enterprise SL Company from 2017 to 2021 and conducts calculation and processing, analyzes and evaluates its financial risks. Finally, it puts forward corresponding suggestions to deal with financial risks.
Report of Visualized Analysis on the Reprisk data of Patagonia INC. and Columbia Sportswear Co
Authors: Lin Xinhui
Published: October 2022

Reprisk is an ESG research provider to leverage advanced machine learning together with highly trained analysts. Reprisk data shows the amount of ESG related-risks of the company. The report analyzes the Reprisk data of two clothing companies (Patagonia INC. and Columbia Sportswear Co) to see their performance on ESG and analyze the relationship between ESG performance and the revenue of both companies. As a result, Columbia Sportswear Co’s risks related to ESG kept decreasing during the past five years, and the revenue also shows an increasing trend. The increased emphasis on ESG has not affected the increase in profits of Columbia Sportswear Co over the years. In comparison, the current RepRisk Index floated higher when Patagonia had poor sales. This result may be proof that the investment in ESG and the profit are positively correlated. This result can advocate sustainable development for the company, as the investment in ESG will not hurt profits.
East-Asian Culture and Art Economic Development: Evidence from Jiangsu Province in China
Authors: Ling Yiran
Published: October 2022

There is a close relationship between East-Asian culture and art economic development. According to the regional characteristics of Jiangsu Province, the evaluation index system of East-Asian culture development and art economic development is designed, the coupling model is established, and the coupling relationship between the two is empirically analyzed. It is concluded that the coordination degree between East-Asian culture development and art economic development in Jiangsu Province is still at a relatively low stage, and the countermeasures and suggestions to promote the coupled and coordinated development of East-Asian culture and art economic development in Jiangsu Province are put forward.
The Impact of the U.S. Rate Hike Cycle on China's Financial Market
Authors: Lu Wenzheng
Published: October 2022

The essay looks at how the changes in exchange rates in the United States affects financial markets’ performance in China.  First, the paper gives an overview of the dollar as a global exchange rate currency vis-à-vis financial markets’ productivity. Then, the essay analyses the impact of US rate hike on yield gap, capital flow, the RMB, government bonds, and housing & real estate before drawing conclusions: the US rate hike will attract a huge amount of funds back to the United States, assert depreciation strain on the RMB, and effectively limit Beijing's fiscal policy softening, as an essential tool for assisting coronavirus-hit industries and meeting the government's estimated growth target.
Research on the impact of certification emission reduction price on energy price based on big data
Authors: Tang Yuheng
Published: October 2022

Global warming has seriously affected human production and life. At present, countries around the world are committed to finding ways to save energy and reduce emissions. The Kyoto Protocol introduced a market mechanism to trade the power of carbon dioxide and other greenhouse gas emissions as a commodity. In the process of actual economic operation, due to advanced emission reduction technology, extensive use of new energy, implementation of environmental protection policies and other factors, certification emission reduction (CER) in some countries are less than the emission limit. At present, the scarcity of CER is mainly determined by the government, and the government can intervene in the dynamics of the carbon emission trading market through various means, such as formulating different carbon quota allocation methods, or holding periodic auction of emission rights, etc. This paper studies the phenomenon that CER is a commodity traded in the market, and the tight relationship between supply and demand of CER determines the carbon price. This paper analyzes the application of big data in the price control of CER, and the influence mechanism of CER on energy prices. Finally, the development plan and prospect of the exploration market are put forward.
Research on the Impact of US Dollar Hegemony on the International Financial System Based on Big Data Analysis
Authors: Wu Wenjing
Published: October 2022

With the globalization of the world economy, transnational activities in the financial field are also developing rapidly with a surging trend. Financial globalization has not only become the most critical link in the world economic development, but also the most sensitive link. This paper first analyzes the rise of the US dollar hegemony and the relationship between the global financial crisis and the US dollar hegemony, and believes that the US dollar hegemony not only led to the global economic imbalance, but also led to the global financial crisis that started in the United States in 2008. Then, it discusses the current US dollar hegemony and the improvement of the international status of RMB. Finally, it systematically explains China's financial strategy in the post crisis period, mainly including accelerating the internationalization of RMB; We will vigorously develop multi-level capital markets and gradually establish a modern financial system in which securities finance plays an important role.
Community Underground Space Governance Based on IAD Framework: A Case Study of X Community in Nanjing
Authors: Meng Ruolin
Published: October 2022

Illegal use of underground space in the community is quite common in large and medium-sized cities, which easily leads to community security problems and conflicts, and is a thorny problem in community governance. Starting from the identification of the attributes of underground space resources, this paper explores the data from interviews, explores the governance dilemma of underground space in X community in Nanjing, and deeply analyzes the interaction process and behavior strategies of each subject in the context of underground space governance based on the IAD analysis framework. This study found that the underground space of community has some open and closed characteristics of Common-pool Resources(CPR), and has the possible conditions for residents to act together; fuzzy property rights, low rent, community attributes and other factors together form the dilemma of underground space governance; the key to the effective governance of this problem lies in perfecting the multi-level and multi-subject governance structure, and strengthening the autonomous action ability and sustainability of grass-roots organizations.
Connection and Anti-connection: A Study on Digital Labor of Knowledge Videos
Authors: Zou Xiangyi
Published: October 2022

People’s knowledge anxiety is caused by information explosion. At the same time, the development of media technology enriches the video industry. Under this background, knowledge videos have a wide audience. Taking knowledge videos as the research object, this paper adopts the interview method to analyze the practice of digital labor connection and anti-connection. It is found that the digital labor of knowledge videos can consciously eliminate over-connection, but the transition of connection-anti-connection is spiraling, and there are many forms, such as strikes and re-work. This research enriches the theoretical research of digital labor to a certain extent.
Evaluation of Jinko Solar Holding Co., Ltd: What can we expect from the rapid growth and challenges
Authors: Zheng Hao
Published: October 2022

This study aimed to evaluate the company of Jinko Solar and generate a purchase suggestion of its stock (NYSE: JKS). The company of Jinko Solar is currently at its growing stage and is benefiting from the high market demand, high incentives, and high sale price. However, it also faces many market challenges. This study conducted a quantitative measurement of SWOT analysis and relative valuation to understand how these elements contribute to the company’s growth and how it might reflect on the stock market. The SWOT analysis indicated that the strength of the company lies on its size, market share, leading edge technology, and a growing business strategy. The opportunity outruns the weaknesses and risks in the long run, as the company suffers mostly from the current condition of the global market, in terms of economic status and high cost of business. There is one systematical risk presented, which JKS is one of a pre-delisting firm by SEC. However, evidence suggested that it is willing to cope with the regulation. In the relative valuation, Jinko Solar is ranked in the middle against 5 of its competitors in terms of the profitability. The Price to sale ratio indicated a possible undervalued condition. Other parameters, such as return on equity and gross margin, aligned with the company’s growing model as there is a trade off between profit and acquiring market shares. The study concluded with a positive judgement of the growing value of Jinko Solar and the stock of JKS is likely in an undervalued position that is recommended to purchase.
Monetary Policy and Housing Bubble
Authors: Shen Hanting
Published: October 2022

The 2008 housing bubble and following great recession is considered as the greatest economic shock in the 2000s. The Fed Reserve had set an extremely loose monetary policy during 2002-2006, and it was considered as the main cause of the economic crisis by many economists. This paper examines the role of monetary policy in the US 2008 housing bubble through reviewing the papers written by Taylor J. and Bernanke C. The paper identifies their essential ideas and their demonstration methodologies. It also summarizes other factors that contribute to the housing bubble by researching the other scholars’ arguments.
The Influences of Anchoring Effect Toward the Decision Making of People in the Realty Business and Related Industries in China in the Last Two Decades
Authors: Sun Haoyang
Published: October 2022

In these two decades, realty business and its related industry has been becoming the mainstay industry of economy of China. From the upstream such as the purchasing of house to the downstream such as the material purchase, anchoring effect is used by so many people and its great influence cannot be ignored. This article aims to investigate that how the anchoring effect acts and affect the decision making in the whole industrial chain of real estate and construction industry and its influence in these industries. The article will provide specific examples in real life to show the use of the anchoring effect vividly and points out its limitation in the practical use.
Ogilvy: Tips for Staying at The Cutting Edge of Media and A Vision for The Future
Authors: Chen Yibing
Published: October 2022

Ogilvy, a founder of the advertising media group, has always occupied a place in the advertising world. Its strong customer background and ingenious advertising design methods are the objects of research and exploration by many people in the advertising industry. This paper analyzes Ogilvy's strategy and explores its future development prospects. Ogilvy always adheres to the principle of "customer first," diligently manages the relationship with each customer, and strives to achieve customers' wishes perfectly. It is not only consolidating old customers but also developing potential customers so that the company can earn a steady stream of projects in the future. Ogilvy's advertisements are based on crowd research and emphasize the needs of the public so that the advertisements can have an excellent emotional resonance with the public. Ogilvy also focuses on new blood and welcomes creative talent with open arms. Due to the incentive competition in the advertising industry, Ogilvy also faces many threats and disadvantages, such as lack of market share, lack of technical personnel, and challenges to unifying marketing methods in different regions. In the face of these problems, Ogilvy can minimize the negative impact in the future if we stick to the original intention of advertising and customers and continue to find creative talents (to maximize their advantages). In the end, the metaverse and artificial intelligence will continue to develop and affect people's lives to a greater extent. As a media company, Ogilvy needs to be sensitive to the differences between AI and human types of work and accurately separate the two (let people do the work that only human beings can do). At the same time, Ogilvy should also adapt to the development of the metauniverse and accurately locate the advertising methods that are most suitable for The Times and social background. Ogilvy will remain at the advertising industry's top for the next decade if they do that.
ByteDance: The Biggest Media Company in a Decade
Authors: Jiang Ivan
Published: October 2022

Beijing ByteDance Technology Co., Ltd. is an information technology company in China, which was officially established in March 2012. Full-year 2021 operating income is approximately $58 billion. With the rapid development of the Internet, advertising marketing is evolving in the direction of programmatic. With the acceleration of technological media transformation and the increase in advertising demand, related advertising sales technologies and services have gradually become mature. The emergence of SSP professional services represents a future trend in digital advertising. The business model adopted by ByteDance is almost perfect. When the popularity of video producers rises, whether it is live streaming, giving gifts, or advertising and marketing, the platform only needs to provide traffic to extract high profits. This article mainly analyzes, explains, and summarizes ByteDance’s business model, marketing method, and supply model, and finally gives my suggestions for the future development of ByteDance.
A Study on Judgment of the Impact of Usability Heuristic on Life
Authors: Wang Yiman
Published: October 2022

This paper mainly discusses the availability heuristic in behavioral economics. This article mainly introduces the definition and significance of Availability heuristic, as well as three examples of its impact on the economic sphere of everyday life from different aspects. These are real estate, transportation, and stocks. Because availability heuristic is one of the ways the human brain works, it’s hard for any of us to avoid making wrong choices because of it. It will appear in all aspects of our lives, affecting not only personal development, but also economic life from various angles. Therefore, the research purpose of this paper is to let more people know availability heuristic in rational thinking and learn to use it to make more rationally and correct choices.
The Walt Disney Company: What does its Future Hold?
Authors: Chen Nan
Published: October 2022

Pandemic has speeded up the development process of streaming media, this paper will focus on The Walt Disney Company - one of the most successful companies in providing streaming services, seeing how this company thrives in this area, as well as the advantages that can ensure it to be one of the leading medias and entertainment companies in the next 10 years. After that, I will provide some suggestions for the company base on my current understanding of its strategy, while I agree with its ongoing intentions to speed up direct-to-consumer business.
Investment Strategies for Retail Investors Using Put option and Covered Call
Authors: Yuan Bingchun
Published: October 2022

The aim of the study is to introduce same common and easy-understanding investment strategies for retail investors. It can bring people a new weapon in investment. However, people may have different reasons of using options. Some are just for speculations, however, for retail investors, investing options can not only bring me profits but also helps them hedge the risks. But in fact, I found that many people around me have a deep misunderstanding of options. They are not only afraid of options because of their high risk, but also sneered at them because of their speculative nature. Options give the impression of being short-term speculative vehicles. And the reason people are afraid of options is because of the fear of the unknown. In my analysis, we will take use of logistic regression, Discriminant analysis and analysis of long call option, short call option, long put option and short put option. Covered call and sell put are good strategies for retail investors to earn stable benefit and hedge the risk at the same time. For investors who are new to use option tools, I recommend covered call strategy.
Analysis on the development status and challenges of new employment patterns under the epidemic
Authors: Li Ao
Published: October 2022

Since the communique of the Fifth Plenary Session of the 18th CPC Central Committee and the 2016 Government Work report mentioned "strengthening support for flexible employment and new forms of employment", that is, the concept of "new forms of employment" was first proposed, the policy improvement work on all levels of "new forms of employment" has been carried out in an orderly manner. Through the efforts of labor unions at all levels, the degree of organization of workers in new employment forms is constantly increasing. Data show that by the end of 2021, the number of newly developed and new employment forms of labor union members in China had exceeded 3.5 million, and 12 leading enterprises in 4 key industries had all established unions. However, in order for the new employment form worker group to more fully fight for their own interests, more platform enterprises and more new employment form workers need to actively participate in it, overcome the time and space problems of membership, fight for the rights and interests of their own groups, and create better new employment form development.
Analysis of Zero-Cost Collar & Covered Call
Authors: Xi Chu
Published: October 2022

This paper introduces two option strategies, zero-cost collar and covered call. After calculating various performance metrics, plotting return graphs, and discussing strategy performance, we show the specific differences between the two options strategies and provide suggestions to investors. The results show that these two strategies do increase overall return, but mainly due to the initial premium received from the shorting call options from the covered call.