Since entering the 21st century, “economic globalization” has become a hot topic. Under the impact of “economic globalization”, the competition of the Chinese domestic market continues to intensify, and Chinese enterprises are facing enormous pressure for survival and development. Among them, there are many cases of poor business operation caused by financial crisis which have directly put these companies in trouble, even causing them to go bankrupt. Therefore, it is very practical to establish a scientific data model to analyze and predict the financial data of enterprises. It can not only monitor the financial status of the enterprise in real time, but also play an effective financial early warning role. This research focuses on using the combined forecasting method to establish a more comprehensive financial early warning model to solve the related financial crisis forecasting problem. Specifically, two different forecasting methods are first adopted in this study to conduct financial early warning research. The first is time series forecasting. It is a dynamic data processing statistical method, which is often used in forecasting research in the business field. The second is the BP neural network algorithm (referred to as BP), which is an error back-propagation learning algorithm, which is often used in the field of artificial intelligence. Then, the prediction error values of the two methods are compared and they are applied to the combined prediction method. Finally, a new error prediction formula is obtained. The result shows that the BP method provides the best performance over others, while the combinational forecasting method offers better performance than any single method.

Brand communication in overseas markets is a major trend in the development of domestic brands today, especially the cosmetics industry, which has shown strong vitality in overseas markets by creating "China-Chic" characteristic brands. In this paper, cross-cultural perspective was adopted, China-Chic cosmetics brands as the main research object, brand communication in overseas markets as the main research content. The current situation, motivations and difficulties of the overseas communication of China-Chic cosmetics brands was analyzed in the paper, then drew research conclusions. It provided effective guidance and support for how China-Chic cosmetics brands can occupy a place in the international market in the future.

With the rapid development of internet technology, livestreaming e-commerce has emerged as a new e-commerce model and has rapidly risen in China's e-commerce field, becoming a rising star. Livestreaming e-commerce combines entertainment, interactivity and shopping, which not only provides consumers with a more convenient way to shop, but also opens up new sales channels for merchants. However, with the rapid development of livestreaming e-commerce, the issue of consumer rights protection has become increasingly prominent. In this paper the current situation of consumer rights protection in livestreaming e-commerce was analyzed, the difficulties and challenges in China's consumer rights protection was summarized. In the conclusion part, some suggestions are put forward, which provide useful reference for the healthy development of China's livestreaming industry.

With growing global awareness of ESG (environmental, social, and governance) and increasing regulatory scrutiny, cross-border e-commerce companies face unique financial and ESG risks due to their cross-border operations. ESG risks for cross-border e-commerce are closely linked to financial risks. First, multinational regulations require companies to enhance ESG transparency, including compliance requirements such as the EU's Sustainable Finance Disclosure Regulation. Second, complex supply chains, controversial data privacy issues, and cultural differences increase potential risks. This article, focusing on the industry benchmark Anker, analyzes how its ESG disclosures impact its financial risks through a comprehensive case study and literature review. It also analyzes Anker's financial performance, including its solvency, profitability, and cash flow, to identify its financial risks. From an ESG perspective, it then reveals the transmission pathways and offers optimization recommendations.

With the release of chatGPT by OpenAI on November 30, 2022, the topic of artificial intelligence has once again become a global hotspot. AIGC (Artificial Intelligence Generated Content), as one of the contents of artificial intelligence, has begun to be widely used in all walks of life. As a frontier for the trial of high-tech, the cross-border e-commerce industry has become more closely integrated with AIGC in recent years, and many cross-border companies have invested in the research and development of AIGC functions. The emergence of technologies such as digital humans, AI customer service, and AI website building has enabled more efficient and intelligent trade. In this paper, it took AIGC as the research object, and through distributing questionnaires to cross-border operation workers, explore the factors that affect the use of AIGC on the operational efficiency of cross-border e-commerce platforms, so as to put forward some reasonable suggestions for cross-border e-commerce companies that are using AIGC.

With the rapid development of China's cross-border e-commerce industry, more and more higher education institutions are offering cross-border e-commerce related courses. For students majoring in cross-border e-commerce, the course "E-commerce Laws and Regulations" allows students to form a preliminary understanding of e-commerce transaction processes and operating specifications. Based on the concept of Outcome Based Education (OBE), in this article it took the course of e-commerce laws and regulations as an example to conduct a blended learning design. It aims to help students improve their learning efficiency through pre-class preparation, completing learning goals during class, and consolidating after-class practice. At the same time, it improves the teaching mode of traditional law courses and enhances students' learning interest.