With the surge in the number of online shopping consumers in China and the continuous development of online shopping platforms, live broadcast marketing has become a major factor in supporting the China's economic development. In the field of e-commerce, webcasting has been favored by more and more people as an effective marketing strategy to attract consumers and promote products. However, consumer intention analysis of e-commerce live shopping is a relatively young research field, and theoretical research is still needed to fill in the gaps. The main purpose of this study is to analyze the factors that affect consumer purchase intentions in the live broadcast economy. This paper proposes a conceptual framework, that is, anchor characteristics, social interaction, and perceived value will affect consumers' purchase intention in the context of live shopping. This study draws conclusions on the factors affecting consumer purchase intention, and provides suggestions for future research to promote the standardization, efficiency and reliability of live streaming e-commerce.

China and the United States are the two economic powers that the international community has paid the most attention to in recent years, and their GDP has always been a hot topic among the people and officials. First of all, because one of these two countries is capitalist and the other is socialist, their GDP development situation is also different. Population and social environment are both key factors affecting GDP. After looking up various papers and pictures, I found that although both countries' economies are on a growth trend, the objective fact is that the United States is far worse than China and even begins to decline. The reason is because of the huge social differences in the United States, there are many poor areas and relatively chaotic public order. On the other hand, China's domestic economy has been developing gradually since the 1980s when it was completely stable. Compared with the United States, the poverty gap is relatively small, public security is good, and the population is large. Therefore, China's current GDP is much higher than that of the United States. The research method is to combine the information found on the Internet such as pictures, papers, and so on to write a paper. Finally, it is concluded that the common feature of both China and the United States is that their GDP is rising gradually, but China's rate is much faster than that of the United States due to various reasons such as population and stable social environment. Because of the epidemic and its large social differences, the annual GDP growth rate and value of the United States lags far behind China

This study examines the obstacles and consequences of incorporating artificial intelligence (AI) into digital security in the rapidly evolving digital economy. It emphasizes the importance of safeguarding data in today's digital era, particularly when it comes to international data transfers, and stresses the necessity for effective policies that promote secure and organized data exchange. The study gives analysis through several aspects. For example, it gives analysis of the technical assessment of how block chain technology addresses data security challenges, the impacts of AI on data security, and how data protection standards affect the European digital economy. And the study then shows block chain's vital role in decentralized control over data, emphasizing the complexities of regulating data processors within a highly open and decentralized environment. Furthermore, the study analyses international cooperation regarding cross-border data regulation, suggesting that there is a need for globally recognized legal norms. In conclusion, the study is for that block chain technology is as an essential element, ensuring cross-border data security, and offering technological innovation and legal framework. The findings of this study indicate that the emerging digital age has led to a rise in digital security, including the development of moral and legal issues like deep fakes, exposed human reliability on automation, and disruption of security firms like those involved in robotics.

For fewer than a decade, live-streaming shopping (LSS) has been gradually expanding in Malaysia. LSS also known as live video shopping, enables real-time interaction between customers and online merchants. Nevertheless, there is a lack of thorough study on the elements influencing customers’ purchase intention, and the scope of a comprehensive framework is still restricted. This research aims to look at how Malaysian customers’ purchase intentions are affected by the e-commerce LSS features (product quality, product price, sales promotion, professionalism, interactivity, and entertainment). Additionally, this research will also examine whether customers’ trust acts as a mediating variable between e-commerce LSS features and customers’ purchase intention based on the Stimulus-Organism-Response (S-O-R) model. A questionnaire will be utilised in a quantitative research method to gather primary data from Malaysian online customers who have made purchases from LSS and are between the ages of 18 and 59. Statistical Package for Social Science (SPSS) and Partial Least Squares Structural Equation Modelling (PLS-SEM) will be utilised to analyse the data that has been obtained. It is anticipated that the research’s findings will demonstrate that e-commerce LSS features will boost customers’ purchase intention and that this relationship will be mediated by customers’ trust. In addition, this research will have implications for live-streamers, online merchants, and policymakers who aim to target LSS in Malaysia by providing strategies for satisfying customers’ requirements and demands in terms of merchandises and services. Besides that, this research will add to the body of knowledge available to scholars in the future who are interested in this field.

Coming into the post-pandemic, the influences that this COVID-19 had on the construction and built environment create a less of cost to be used in managing the captured events. The following research project is designed to evaluate how the outbreak of the coronavirus epidemic has affected cost management behavior within enterprises in the field of construction including construction within the China economy. Through a synergetic approach, the grey correlation model and the value engineering method have been combined giving a financial cost control model that can vouch for the challenges appearing in the post-pandemic business context. The data on timeline change and expense allocation in accommodation related adjusted processes, in turn, models the new routines of work for the industry. The results of my research make it clear that various changes need to be implemented mostly in cost management practices. This help in improving resilience and risk minimization is the most important.

Nowadays, the impact of the epidemic is gradually weakening, China's industry is beginning to recover, and with its demand for energy is increasing. In this regard, coal is one of the main raw material for thermal power generation in China, and fluctuations in coal prices have a major impact on enterprises and the national economy. This paper selects BYD, a leading enterprise in the field of new energy in China, as the research object to study the impact of coal price changes on BYD's stock price. This paper selects the thermal coal index and BYD stock price from January 1, 2019 to January 29, 2024 as research data, and constructs a var model to study the relationship between coal prices and BYD stock price. Moreover, this paper uses the Granger causality test to investigate whether coal prices will affect BYD's stock price, and also conducts impulse response to study what kind of impact changes in coal prices will have on BYD's stock price. The research results of this paper help maintain the stability of the new energy market and the national economy. This paper concludes that changes in coal prices will have a negative impact on BYD's stock price.

There are many e-commerce platforms in China, and JD.com is one of the well-known platforms of the 3C (Computers, Communications, and Consumer Electronics) network. It is one of the most popular and influential e-commerce websites in the field of Chinese e-commerce, and its integrated supply chain logistics have become the key to its core competitiveness. This paper aims to analyze the current development status of JD's supply chain logistics and explore the main problems it faces. Through literature review, this paper first provides an overview of JD's logistics system, including the logistics model based on JD.com and the development layout of the integrated supply chain logistics model. Subsequently, through SWOT analysis, the advantages, disadvantages, opportunities, and threats of JD's logistics model were evaluated. Through analysis, this paper points out that JD has problems in terms of supply chain logistics management level, logistics informatization level, and professional talents.

The phenomenon of population ageing has become a significant issue in the majority of countries worldwide, particularly in developed countries. Many countries are now exploring the elderly consumer market, hoping that the spending power of senior citizens can boost their national economies. However, due to factors such as the decline in cognitive ability with age, changes in social circles, and technological advances, the elderly may exhibit irrational decision-making behaviors that are difficult to judge, making it challenging to regulate the senior consumer market. Some industries even find themselves teetering on the edge of legality. This paper focuses on the characteristics of elderly consumer behaviour and analyses them through the lens of behavioural economics. Qualitative analysis, comparative analysis, and other methods are employed to study cognitive biases, social influences, as well as time preferences in the decision-making process. In addition, specific research is conducted on the unique aspects of the older population compared to other age groups.

This conceptual paper outlines the impact of sustainable marketing on consumer behaviour in China's cosmetics industry. With the severe environmental changes and people's environmental protection awareness, consumers are more likely to buy environmentally friendly products when buying cosmetics. The study demonstrates the role of sustainability in changing consumer buying habits, highlighting the cosmetic industry's shift towards environmentally friendly and ethical approaches. It highlights the sector's challenges, particularly in production and management, which pose serious sustainability issues. By taking a closer look at how sustainable marketing influences consumer choices and buying patterns, this study aims to reveal how eco-friendly buying habits, ethical considerations, and environmental awareness drive demand for beauty products. Through the literature review, this study discovers the trends in this industry, such as the growing interest in cleansing beauty products and the shift of consumer behaviors towards sustainability. It also builds a framework linking sustainable practices to consumer behaviour, which is based on the interplay between consumer purchase considerations and sustainable practices.

With the popularity of social media, social media marketing has become an integral part of corporate marketing strategies. However, due to the continuous changes in social media platforms and marketing strategies, effectively evaluating the effectiveness of social media marketing activities has become a focal point of concern for businesses. Therefore, researching statistical methods and applications for evaluating the effectiveness of social media marketing is of both theoretical and practical significance. This article adopts a literature review approach to analyze relevant studies on the evaluation of social media marketing effectiveness in recent years, summarizing the current research progress and existing problems. The main research content of this article includes an analysis of social media user behavior, an evaluation of social media advertising effectiveness, an assessment of social media communication effectiveness, surveys on social media user satisfaction, and long-term tracking and analysis of social media marketing effectiveness. These research contents contribute to a better understanding of the actual effects of social media marketing activities for businesses, thereby optimizing marketing strategies and increasing marketing efficiency and return on investment. This study concludes that statistical methods and applications for evaluating the effectiveness of social media marketing are significant both theoretically and practically. Through in-depth mining and analysis of social media data, researchers can reveal the patterns behind social media marketing activities, providing decision support for businesses.