The fast fashion industry is gradually recovering from the epidemic’s impact, while new retailing will become a new opportunity for fast fashion brands. As a leading fast fashion brand, Zara has a distinctive industrial character. This paper summarizes the current situation of Zara in the Chinese market from the data by using case study analysis, further analyse its strengths and problems, and gives solutions accordingly. It is found that Zara’s hungry marketing, convenient address, and match sales have been effective, but it has also encountered many problems, for example, copyright disputes, non-durable products, environmental damage, timeliness and locality of fashion, and low marketing investment. For these issues, the article suggests piloting pop-ups, co-branding or purchasing copyrights, strengthening regulation and environmental protection, localizing products through delegation and co-creation, and providing a personalized shopping experience. If these approaches prove viable, they could be a significant reference for fast fashion brands in China.

China’s new media has developed rapidly in recent years, and society has entered the era of new media. At the same time, China’s economic level is developing rapidly, and people’s living standards are also greatly improved. The demand for luxury goods is greatly increased. The huge population makes China become the largest consumer of luxury goods. In this context, various luxury brands have different marketing strategies for the China market. As one of the world’s largest luxury goods companies, LVMH is bound to change its marketing strategy for China market. In addition to an overview of the topics and trends covered in the relevant literature, this paper mainly discusses the impact of new media on the luxury industry and how the luxury industry should change in the new media environment. For some academics and marketing managers of luxury brands, this paper can provide some theoretical basis and is of great reference for changing marketing strategies.

In recent years, the scale and number of mergers and acquisitions (M&A) between companies have been steadily increasing, with M&A becoming the primary choice for expanding their businesses. However, M&A between internet companies often involves many uncertainties. This paper first analyzes the operational strategies and merger motivations of Didi Chuxing and Kuaidi Dache (now DiDi and Dida respectively), and then applies the SWOT analysis method to analyze the strengths, weaknesses, opportunities, and threats of this merger event. Finally, the paper summarizes the pros and cons of this merger event and provides recommendations. The research findings of this paper indicate that the merger motivations of this merger event mainly include reducing market competition pressure, achieving resource integration while expanding market share, and seeking more development opportunities. The SWOT analysis shows that the strengths lie in resource integration and internationalization, the weaknesses involve strategic risks, the opportunities can be harnessed through synergy effects, and the threats involve potential negative impacts of monopolies on the market. By formulating the correct strategic theories, enhancing core competitiveness, and effectively utilizing synergy effects, the success rate of corporate mergers and acquisitions can be improved, providing feasible ideas for M&A in China's ride-hailing industry.

With the rapid growth of the gaming sector and advancements in technology, the global gaming market has reached unprecedented heights, capturing the attention of millions worldwide. Simultaneously, the concept of metaverse has become a topic of intense discussion, holding the promise of transforming virtual experiences. This paper study thoroughly examines Microsoft's strategic move to acquire Activision Blizzard, scrutinizing its multifaceted impact from various perspectives. Motivated by the pursuit of synergy effects, market expansion, and preparation for the metaverse, Microsoft aims to harness the potential of Activision Blizzard's intellectual properties and fortify its gaming portfolio, potentially positioning itself ahead of Sony in the fiercely competitive gaming console market. Nevertheless, the integration of diverse corporate cultures and the ever-present specter of antitrust scrutiny pose significant challenges on the horizon. This compelling case study offers invaluable insights into the decision-making processes of major corporations, shedding light on the intricacies of the dynamic gaming industry and the unfolding metaverse landscape. As the gaming realm and technology continue to thrive, this landmark acquisition becomes a pivotal example in understanding and navigating strategic business decisions in the rapidly evolving digital era.

With an increasing number of companies applying ESG-related activities, many researchers have recently focused on what effects could be brought to the firm’s value by the firm ESG performance. Researchers have two main views on this relationship. One view is that the ESG performance and disclosure of nonfinancial reports play an important role in improving a firm’s value and sustainable development. The other view is that ESG performance is not only meaningless for a firm’s value but also harmful to the firm’s value, especially for firms in developing countries. But firms they used for testing the relationship may belong to different industrial fields. So the firms used in this article would belong to the technology, energy, and finance fields To avoid the essential distinctions between different firms that belong to different industrial fields. After analyzing the MSCI EGS ratings history data over the last five years or since records began and the stock prices during the corresponding periods for these three industries respectively, the benefits on a firm’s value brought by the better ESG performance tend to be more obvious in the technology and finance industries than the firms in the energy industries.

The definition of brand equity has been gradually improved, but the existing studies are mostly case studies and unilateral studies, and the studies that integrate and sort out brand equity from multiple perspectives are relatively rare. By reviewing and sorting out the international literature on brand equity, this paper summarizes the definition, components, evaluation methods and prospects of brand equity, in order to promote the better development of corporate brand equity. The article holds that it is very important to use publicity channels effectively to stimulate consumers, establish effective brand association, and enhance brand awareness and recognition to enhance brand value. In addition, brands need to segment the market and strengthen brand trust in a targeted way. And establishing a consistent and effective brand image helps to enhance brand awareness and brand recall, as well as promote brand loyalty. At the same time, for high-equity brands, brand extension and expansion is also particularly important.

Business platforms have now become an indispensable tool in people's lives. Amazon, a household name in e-commerce, has achieved success in markets all over the world, except in China. This paper finds that the main reasons for Amazon China's failure are the intense competition from local e-commerce giants and the cultural and consumer behavioural differences between Chinese and foreign consumers. For Amazon China, Alibaba, Pinduoduo are very challenging competitors. The cultural differences between Chinese and foreign consumers are reflected in the fact that Chinese consumers find it difficult to accept the e-commerce platform's fee-based and slow delivery service, and are unable to use Alipay and WeChat as payment tools. Moreover, the user pages of the Amazon shopping software do not match the aesthetics of Chinese consumers. In addition, the paper makes recommendations on how cross-border e-commerce business in China can be improved and adapted to the Chinese market to address these factors.

Climate change has recently become a critical global concern, and its potential impact on financial markets has attracted significant attention. The study investigates the relationship between rising temperatures and the S&P 500 index, aiming to understand the implications of temperature changes on stock market performance. This research applies the Autoregressive Integrated Moving Average (ARIMA) model to analyze the relationship, using the linear and dynamic regression models to forecast the S&P 500 according to the ARIMA-fitted values of temperature change in the future. The findings from the dynamic regression model indicate that the rising temperature positively impacts the S&P 500, while the linear regression models show no correlation between these two. The study's findings support investors and policymakers in gaining a more comprehensive insight into the relationship and applying it to business practices. Furthermore, the study offers guidance to develop risk mitigation strategies within the financial sector.

Stock market prediction has always been a prevailing topic among investors and researchers. Among numerous market index, the Shanghai Stock Exchange Composite Index (SSE Index) is recognized as one of the most indicative stock indexes in China's A-share market. As it is discovered that the fluctuations of SSE index and exchange rate (USD/CNY) displays highly similar pattern since the subprime mortgage crisis, this study aims to use macro variables (including exchange rate) to predict the SSE index based on ARIMAX model. The data are collected since 2006 and based on which ARIMA (14,1,4) model is generated. Distinct macro variables are added in this ARIMA model respectively and it concludes that the incorporation of exchange rate with certain lags can significantly increase the fitting degree. Cross validations on different lengths of validation sets are implemented, which shows that the model can make accurate forecast in relatively short term. The result manifests increasing accuracy when incorporating certain explanatory regressive factors, which might provide valuable and enlightening information in short term for researchers or investors.

This paper presents a detailed analysis of unemployment rate forecasting, a critical subject for various stakeholders including policymakers, businesses, and individuals. Amid significant economic events such as the global financial crisis and COVID-19 pandemic, the need for precise unemployment forecasts has become crucial. The research utilizes an Autoregressive Integrated Moving Average (ARIMA) model to analyze US unemployment rate data from 2000 to 2023, sourced from the Federal Reserve Economic Data (FRED). The paper identifies seasonality patterns, executes appropriate data transformations, and incorporates the Box-Jenkins methodology for ARIMA model identification. The findings reveal the model's resilience, demonstrating accurate forecasts despite significant disruptions. These insights offer valuable contributions in understanding labor market dynamics, facilitating informed decision-making and strategic planning. The paper highlights the robustness of ARIMA models, and their potential to adapt to rapid changes in the economic landscape, thereby proving invaluable in forecasting unemployment rates.