In the context of the continuous promotion and implementation of ESG concepts around the world, this paper aims to study the correlation between ESG scores and the share prices of companies in different regions and industries. Based on the stock price data and ESG scores of the top 30 companies by market capitalization in the semiconductor industry, car manufacturing industry, and financial services industry, as well as the stock price data and ESG scores of the top 30 companies by market capitalization in the United States, China, and Japan, the linear fit model is constructed to analyze the correlation and intercept. It is found that the ESG score is positively correlated with company stock price in most situations, which means that the improvement of the ESG score often implies the improvement of the company’s share price. According to the economic environment of different industries and countries, the correlation and intercept are different. Usually, the correlation or intercept is more evident in high-end industries or regions with better economies, also the ESG level is better.

The current Chinese clothing market is developing rapidly, and the consumption concepts and demands of major consumers have also changed. This poses a challenge for fast fashion brands represented by ZARA. The study used questionnaires to survey more than 300 Chinese consumers, understand their consumption habits, and measure ZARA Customers Perceived Value. Then, use SPSS to analyse ZARA consumer portraits, and calculate Customer Perceived Value scores from four dimensions. Finally, two improvement suggestions were proposed for the Price Value with the lowest score. To provide a reference for alleviating ZARA's current crisis, and also point out improvement ideas for other fast fashion brands that are also facing challenges.

Nowadays, there is a gradual shift in the way more and more people shop due to the influence of the pandemic. Shopping is moving away from brick-and-mortar stores and towards e-commerce shopping streams on social platforms. People are getting their needs met by watching live streams of e-commerce anchors, not only buying what they want but also reaping the benefits of quasi-social relationships online through their interactions on the Internet. The goal of this research is to investigate the link between influencer marketing and the effect that social media influencers have on the online shopping habits of members of Generation Z. Specifically, this study will look at how China Generation Z shoppers are influenced by those who are influential on social media. The results of a nationwide online survey of 227 Chinese Generation Z people show that social media influencers have a significant impact on Generation Z online consumer behavior, especially on the Douyin social media platform. The questionnaire respondents were from different regions of China's interior and the population was evenly distributed. The impact of different influencer marketing strategies and behavioral characteristics on the online consumer behavior of this age group is discussed.

The Little Red Book App is a typical representative of User-Generated Content (UGC) platform in China, being well-known to the public for its unique sharing function. In this app, numerous users sharing content related to commuting clothing. However, there are very few research on the consumption intention of commuter pants consumers on the UGC platform. This study examines how UGC on the Little Red Book APP influences users' consumption willingness, using the 100 top commuter pants notes about popular commuter pants content as experimental subjects from the Little Red Book platform. Text analysis and network research are conducted based on data collected from Little Red Book open API “Dandelion” platform. information quality, visual experience and KOL influence significantly influence consumers' purchase intention. This study summarizes the common denominator of the most popular notes for relevant search terms from multiple perspectives and provides insights into how to utilize UGC and KOLs marketing to stimulate consumption desire and promote product sales. Based on the research results, corresponding feasible suggestions have been proposed for UGC e-commerce platforms, brands, and KOLs.

This paper focuses on researching the capital structure and investment value of the supermarket industry, specifically examining the impact of epidemiological events on value investment within this sector. The objective is to explore the factors that influence capital structure decisions and their implications for investment value. The analysis employs the Weighted Average Cost of Capital (WACC) method to evaluate the relationship between capital structure and investment performance in the context of the supermarket industry. The study aims to investigate the influence of epidemiological events, such as COVID-19, on the capital structure decisions of supermarket companies and their subsequent effects on investment value. The research considers factors such as the size and maturity of the companies, risk profiles, regulatory environments, and cost of capital considerations to assess their impact on capital structure choices. By utilizing the WACC method, A study of supermarket investment value and capital structure decisions is presented in this paper. The WACC approach allows for a comprehensive evaluation of the cost of debt and equity financing, incorporating factors such as interest rates, tax implications, and market conditions.

The logistics industry plays a vital role in the global economy, managing the flow of goods, information and services. The frequent occurrence of black swan events such as the new coronavirus epidemic in 2020 and the Russia-Ukraine conflict in 2022 has intensified the risks of the logistics industry. On the one hand, by studying the current risks faced by the logistics industry, this paper puts forward corresponding suggestions for the risks faced by the logistics industry. For example, the logistics industry can ensure the security of goods and information by utilizing cutting-edge technologies, adopting forward-looking risk management methods, and promoting cooperation with stakeholders, so that logistics companies can enhance their flexibility and optimize performance. And navigate a dynamic business environment. By establishing effective governance mechanisms and regular reviews, logistics companies can improve the strength and agility of their supply chains, effectively manage risks, and navigate the dynamic business environment. On the other hand, through the financial analysis of several representative companies in the logistics industry, this paper believes that the logistics industry has profitability at present and still has great growth potential in the future. The competition in the industry is relatively fierce, and the logistics industry market needs to be further subdivided.

As nations implement interest rate hikes and the economy heads towards a downward trajectory, investor sentiment undergoes a significant transformation. While extensive research has explored how investor sentiment influences stock markets, there is limited investigation into its effects on futures markets. This study aims to delve into various methodologies used to examine investor sentiment, including existed indexes, news analysis, and machine learning techniques. The study will evaluate how investor sentiment influences futures market and explore the connection between futures market and stock market. It acknowledges that there are both similarities and differences in studying investor sentiment in the stock and futures markets and suggests that futures market may play a role in affecting stock market prices. By conducting a thorough review of existing literature, the objective is to enhance our understanding of price dynamics in both the futures and stock markets within the context of the current global economic downturn.

Financial Big Data is a contentious topic that needs to be addressed because it is having an increasingly negative impact on people's everyday lives, work habits, and thought patterns. The leakage of financial big data is just one of the issues that financial big data is now dealing with. As a result, the study focus of this work is on the data security problems and solutions related to financial big data. This paper summarizes four main categories of data security issues related to financial big data: attacks on financial big data, data leaks related to financial big data, issues with the reliability of financial big data, and issues with access control related to financial big data. Based on these four problem categories, it searches the literature and organizes the suggested solutions as follows: pay attention to the development of financial data security systems in a big data environment, strengthen education and training, increase the da-ta security awareness of various roles, optimize the processing of big data, and strengthen the storage security of big data by strict user access control. This paper's thought and research also reveal that while financial big data does provide data security issues, it also serves as the primary means of addressing the issue itself. Less research has been done on using financial big data as a countermeasure in and of itself. In the future, we should focus on financial big data itself and explore ways to use financial big data as a countermeasure to data security problems.

In this paper, we discuss and research the marketing strategies which enable the catering industry companies to get through the crisis. Based on the case studies of successful and failing catering companies, we examine and conclude four factors of marketing strategies effective to overcome the problem. This paper provides referential value for catering industry companies to cope with the crisis.

COVID-19 pandemic have a huge impact on human life, and it also creates a demand shock in various industries, including the food industry. This paper mainly researches the impact of the epidemic in the online food delivery industry and the variations in consumer decision-making in this industry. Methods of literature review and questionnaire are used to find out the differences in the online food industry before and after the pandemic and the greatest influencing factors of consumer decision-making after the pandemic. The paper reveals consumers’ decisions are affected by COVID-19, and consumers care about coupons and promo codes the most after the pandemic. Development applications of online food delivery and further research line are suggested according to consumer decision-making factors.