In contemporary times, an extensive social network engulfs everyone in society due to the influence of the internet on our daily lives. These days, social media is not solely a platform for viewing and exchanging content, but it has also turned into a marketplace for purchasing and selling merchandise. Numerous customers explore, gain knowledge about, and make purchases of their preferred items on social media, while numerous brands and producers display, advertise, and sell their merchandise on these platforms. Online streaming purchases through social media platforms are gaining popularity among consumers worldwide. Social media is transforming how companies and brands engage with consumers, particularly millennials. In view of the escalating prevalence of this phenomenon, the present research seeks to explore the influence of content quality and brand interactions on consumer brand awareness and purchase intentions in social media. The research incorporates multiple theoretical and empirical sources from prior literatures on influencer marketing and demonstrates that consumers' brand attitudes and purchase intentions are positively influenced by their attitudes towards fashion influencers and comments on social media.

This article examines three different risk management methods: asset hedging by shorting stocks, cash flow hedging using forward contracts, and futures contracts. The article explains each method's rationale, application, advantages, and disadvantages. By presenting and explaining these methods, this study aims to help readers gain insights into their effectiveness in managing risk in different types of transactions. The content of the article supports the readers to have a better understanding and gives some strategies for risk management, and provides guidance for decision-makers to mitigate potential risks in their financial operations. Asset hedging by shorting stocks involves selling borrowed stocks in anticipation of a decline in their price, thereby offsetting the potential loss of a declining asset. This strategy allows an investor to profit from a decline in stock prices. Cash flow hedging through forward contracts involves entering into an agreement to buy or sell an asset at a pre-determined future price, thereby reducing the risk of adverse price movements and ensuring a stable cash flow. On the other hand, futures contracts are standardized agreements to buy or sell an asset at a future date, are traded on public markets, provide legal protection for both parties through financial intermediaries, and allow investors to lock in prices. While these risk management methods have obvious advantages, such as potential gains to offset the risk of asset depreciation during market downturns, protection against adverse price movements, and price stabilization, they also have inherent risks and limitations that need to be carefully considered.

In the current global environment, supply chain uncertainty has increased, leading to a decline in supply chain stability, and even problems such as partial supply chain breaks, poor information, and rising comprehensive costs. This paper studies the current situation of the new energy vehicle market, selects two typical enterprises in this industry - BYD and Tesla for supply chain analysis, and finds that the supply chain of new energy vehicles faces many risks, such as unstable supply of raw materials and external environmental impacts. After further analysing the risks faced by the supply chain of new energy vehicles, the future development trend of the supply chain of new energy vehicles is proposed, as well as the conclusion that new energy vehicles will develop in the direction of sustainability, diversity and innovation.

This research provides a transnational analysis of the environmental concerns embedded within the ESG (Environmental, Social, and Governance) information disclosure practices of listed companies in China and the United States. By examining 10 representative firms from each country, the study aims to highlight the variances in environmental awareness and subsequent actions undertaken by entities in these two major economies. However, as some argue, “Nonpecuniary factors, such as ESG considerations, should never take precedence over investment returns, risk or lowering fees”. Despite this perspective, our investigation adopts a cross-border lens, offering a more holistic perspective. The primary methodological tools involve evaluating ESG report ratings based on MSCI scoring rules and analyzing word frequencies related to environmental topics in Q4 2022 conference call transcripts. Preliminary findings indicate that the predictive effect of the MSCI score does not significantly differ between the two regions, and the attention to environmental issues, as evidenced by word frequencies, is comparable. The study acknowledges limitations arising from the limited dataset and the temporal scope of the research. Nevertheless, this research presents significant implications for international ESG policymaking, potentially guiding more effective strategies to attain Sustainable Development Goals. It also suggests avenues for further research, particularly in expanding the dataset and refining keyword sentiment analysis methodologies.

Digitalization transformation has been allowing airlines to vastly increase their productivity and profitability, and pioneer airlines have demonstrated a strong interest in applying digitalization to their booking system, membership management, and business operations. It is then necessary to analyze how those technologies can benefit budget airlines and how they can be better facilitated to enhance the competitiveness of the airlines. This paper studies the application of digitalization transformation adopted by budget airline AirAsia and how it influences and impacts its performance financially and operationally. The analysis was conducted to understand how AirAsia has done to transform its business into digitalization, including the aspects of both customers’ perspectives and internal operations and its corresponding performance based on those techniques. The result shows that digitalization is necessary and vital to enhancing its profitability, competitiveness, and innovation, and we propose that AirAsia could further utilize digitalization by enhancing the ticketing and booking system, customer experience, and working process.

This research paper delves into the performance and evolving trends of Fortune 1000 companies over the critical period from 2019 to 2021, a time significantly influenced by the COVID-19 pandemic. It provides a detailed examination of key metrics such as revenue, profitability, industry distribution, market capitalization, global presence, and employment trends, as well as strategic responses in mergers and acquisitions, digital transformation, and innovation. The study emphasizes the impact of corporate social responsibility and the changing regulatory landscape on these corporations. Special attention is given to the role of technology and innovation in driving economic impact and global influence, as well as the adaptation strategies employed by these companies in response to unprecedented challenges. The findings underscore the significant shifts in corporate strategies, highlighting resilience and adaptability in the face of global economic disruptions. This comprehensive analysis provides valuable insights into the factors shaping the economic and strategic landscape of major corporations during a transformative era.

This paper introduces the design of Can-grab, a campus service app for college students. Providing two sections of services—delivery and housekeeping, Can-grab aims to bring the last mile’s convenience to customers. Stanley Milgram’s concept of the six-degree network and distribution of coupons are used for promotion. This essay examines the key benefits of Can-grab, including the marketing strategy and market size. According to the joint analysis, the lowest estimates of Total Addressable Market Size, Serviceable Available Market Size, and Serviceable Obtainable Market Size are estimated at 42 million, 26 million, and 8.32 million. By comparing the revenue, the best price is concluded as 7.8 yuan when time=30 and function=3. The Acquisition cost and LTV are 8 yuan and 34,897.4 yuan, respectively. This paper makes a three-stage plan for the future development of can-grab, introduces the start-up members and department structure, and points out the potential problems for development, including personal privacy and security, campus access permission, and intense market competitiveness.

The concept of cooperative marketing was introduced into China at the end of the 20th century and was sought after by the marketing circle. Some enterprises join forces to implement cooperative marketing, which reduces the risk of competition and improves the efficiency of marketing. With the increasing market competition, the concept of cooperative marketing extends to the field of brand operation, and a new trend appears, which is called cross-border marketing. This paper analyzes how A-COLD-WALL*, a British niche designer brand, enters the Chinese market and expands its brand influence through cross-border marketing cooperation with Converse. Compared with the overall marketing of enterprises, brand operation is a specific and special level, which determines that cross-border marketing is different from cooperative marketing although it originates from it.

In this article, we will combine the novel applications of asset pricing, which is developed from a classic theory of this field. We will present this theory and then the latest found of the application. A large part will be the results based on the classic model CAPM. This part includes a review of Then present the other models or methods based on this result. Sentiment analysis is a vital component in stock price prediction, utilizing natural language processing and machine learning to extract and evaluate emotional information from textual data. This article reviews traditional lexicon-based methods and advanced sentiment analysis techniques, emphasizing the growing importance of sentiment and neural networks for a more nuanced understanding of sentiment's impact on financial markets. Integrating sentiment from social media, financial news, earnings reports, and analyst opinions provides a holistic view of market sentiment.

The development of the global digital economy era and the occurrence of COVID-19 have impacted the global economy. Traditional supermarkets have also encountered many challenges and development opportunities, of which Walmart is a representative. This paper analyzes Walmart's e-commerce in this context and evaluates its financial performance. It is found that the e-commerce transformation of Walmart has effectively improved the financial performance of enterprises, reduced the impact of special periods, brought new profit sources to the company, and reflected that the digital transformation of traditional supermarkets is the trend of the times.