Platformance-Based Cross-Border Import Retail E-Commerce Service Quality Evaluation Using an Artificial Neural Network Analysis

In recent years, with the rapid development of cross-border e-commerce and the transformation and upgrading of traditional foreign trade of various countries, both China and ASEAN regard cross-border e-commerce as an important content to promote the high-quality development of bilateral trade. The Guangdong-Hong Kong-Macao Greater Bay Area is a key global trade digital pilot area. The official entry into force of the RCEP provides a new environment for the development of cross-border e-commerce between the Greater Bay Area and ASEAN countries. From the background of RCEP framework, this paper analyzes the opportunities and challenges faced by cross-border e-commerce enterprises in the Greater Bay Area and ASEAN. Based on this, it proposes the innovative development path of cross-border e-commerce from the aspects of cross-border logistics system building, cross-border e-commerce talent team building and cross-border e-commerce intellectual property protection. It is aimed to activate the Greater Bay Area commodity trade market, and further promote the development of cross-border e-commerce between the Greater Bay Area and ASEAN countries.

With the development of science, the technology of the internet has also presented new trends. With the integration of the internet and industry, the era of "Internet+" has also arrived. During this period, the development of cross-border e-commerce in China has ushered in new opportunities. However, as a new form of international trade, there are also many potential risks. The global outbreak of the new crown epidemic in early 2020 further accelerated the pace of cross-border e-commerce to replace traditional trade. In recent years, cross-border e-commerce has become the new way of selling trade. China's cross-border e-commerce has also made leaps and bounds, with an expanding range of exports and an increasing role in promoting the domestic economy. This essay is based on the literature about cross-border e-commerce under the "Internet+" from 2015 to 2022 in the CNKI database and uses CiteSpace technology to visualize the current development of cross-border e-commerce under the "Internet+" through a visualization method. The study shows that China's cross-border e-commerce development has been greatly improved. Meanwhile, the scope of research in the field of cross-border e-commerce in China has been expanding and becoming more mature and stable, and most researchers have made outstanding contributions to the field. The research hot spots in this essay are highly related to the background of the times. Through the visualization and systematic study of CiteSpace in the field of cross-border e-commerce, this essay shows the information on postings, keywords, and hot spots, which provides certain references for the development of cross-border e-commerce in China.

With the rapid popularization of the Internet and the mature development of the e-commerce industry, cross-border e-commerce has become a new economic growth point in Zhejiang Province. In recent years, Zhejiang Province has vigorously promoted the development of cross-border e-commerce, and with its unique geographical advantages and excellent policy support, cross-border e-commerce has developed rapidly, and the development level of cross-border e-commerce ranks among the top in the country. Based on the existing problems in the development of cross-border e-commerce in Zhejiang Province, this paper puts forward targeted suggestions to promote the further development of cross-border e-commerce in Zhejiang Province.

Abstract: The development of science and technology and the deepening of globalisation have opened up new directions for developing the agricultural industry. With the gradual expansion of the scope of Internet +, traditional trade has gradually evolved into e-commerce, and relatively simple domestic trade has gradually expanded into cross-border transactions. With the help of e-commerce platforms, sales channels can be expanded, and the share of agricultural exports can be increased. The development of cross-border e-commerce is highly valued and mutually supportive of the agricultural product supply chain (APSC), which promotes the international trade of agricultural products. Optimised APSC provide high-quality produce to meet consumer demand. Technological innovations such as big data and the Internet of Things (IoT) bring smart and efficient optimisation solutions to APSC, improving the efficiency of product distribution. This paper reviews the research on cross-border e-commerce and APSC by some scholars in recent years, summarises the current development of cross-border e-commerce, describes the problems of APSC, and proposes solutions. Reviewing and summarising the relevant research literature aims to help scholars understand the development of cross-border e-commerce and APSC more systematically and comprehensively, and to provide strong support for future research and practice.

With the globalization of the economy, the rapid development of cross-border e-commerce platforms has made the study of consumers' purchase intentions increasingly important. This research aims to explore the main factors influencing consumers' purchase intentions on B2C or B2B cross-border e-commerce platforms, including aspects such as websites, products, payment methods, and logistics. Understanding the impact of these factors on consumers' purchase intentions not only helps e-commerce platforms optimize user experience but also provides a basis for merchants to formulate effective marketing strategies, thereby promoting the sustainable development of cross-border e-commerce. This study employs the Analytic Hierarchy Process (AHP) and uses a questionnaire survey to identify the key factors influencing consumers' purchase intentions and their relative importance, revealing the weight relationships between these factors. The research finds that products and website services are the most important factors influencing consumers' purchase intentions, followed by payment methods and after-sales services. The results indicate that e-commerce platforms should focus on enhancing these various factors to effectively promote consumers' purchase decisions and thereby drive the development of cross-border e-commerce businesses.

The development of cross-border e-commerce is generally faced with problems such as high freight, long transportation time, and low service level. However, overseas warehouses can effectively solve the above problems to a certain extent, and they can improve consumer satisfaction. Therefore, this paper proposed a method combined with the entropy technique for order of preference by similarity to ideal solution (E-TOPSIS) model and complex network analysis theory to make a comprehensive determination of overseas warehouse locations for China’s e-commerce exports in the context of the Belt and Road Initiative (B&R). We selected 62 countries along the B&R as pre-candidates for overseas warehouse locations and then evaluated the significance of each node in cross-border e-commerce for Chinese export products. Finally, 15 countries were identified as the optimal overseas warehouse locations for Chinese export products along the B&R. The results can provide reference for overseas warehouse deployment of Chinese cross-border e-commerce enterprises as well as the development and the construction of the B&R.

In the realm of international trade, cross-border e-commerce has infused fresh vitality into the traditional foreign trade. Through the deepening of international cooperation in "Silk Road E-commerce," Chinese cross-border e-commerce is actively forging into emerging overseas markets. In contrast to regions such as Europe and the United States, Africa presents a less saturated cross-border e-commerce market, offering a vast "blue ocean" of opportunities. Within the context of the cordial relationship between China and Africa, this paper reflects on the past decade of China's cross-border e-commerce development in Africa and employs PEST analysis to investigate the political, economic, social, and technological factors influencing China's cross-border e-commerce in Africa. Speculatively, this analysis suggests that China's cross-border e-commerce to Africa will continue its growth trajectory. This paper will elucidate the internal strengths and weaknesses of China's cross-border e-commerce through SWOT analysis, forecast the opportunities and threats present within the external African environment, and proceed with TOWS cross analysis and regression validation analysis to generate corresponding strategic recommendations. These recommendations aim to provide specific and concise operational measures for the relevant government departments and cross-border e-commerce industry to navigate the African market successfully.

<p>With the rapid development of China's foreign trade, cross-border e-commerce companies have also emerged successively, and the corresponding tax policies and free trade zones to promote their development have also been rapidly established and improved.In the process of the free trade zone and the development of e-commerce enterprises, the formulation and improvement of tax policies will directly affect the development of the whole free trade zone and cross-border e-commerce industry.Starting with the current tax policies of Fujian Free Trade Zone, this paper analyzes the current tax preferential policies in China, and further improves the current problems of China's tax policies to provide reference for the healthy development of China's cross-border e-commerce.</p>

In the era of the digital economy, international trade develops rapidly, and cross-border e-commerce occupies an important position in global trade. To comply with the trend of economic globalization, China's cross-border e-commerce field needs to clarify its advantages and shortcomings, make timely adjustments and improvements, and achieve sustainable development. This paper analyzes the international economic background and the development status of cross-border e-commerce. Taking Alibaba International Site, a representative cross-border e-commerce platform, as a specific case, SWOT analysis is applied to analyze its development status, and it is found that the cultural differences, policy differences, and trade protection problems it faces reflect the existing deficiencies in China's cross-border e-commerce field. And put forward optimization suggestions for China's cross-border e-commerce enterprises. Still, the suggestions in this paper have certain limitations, for the specific situation of small and medium-sized cross-border e-commerce enterprises need to be considered in combination with the actual problem.

Cross-border multi-level warehouse network optimization: Modeling and application based on mixed-integer linear programming

With the vigorous development of cross-border e-commerce and the application and promotion of modern teaching technology, the ability requirements for cross-border talents have changed a lot. Therefore, the training goal of colleges and universities is to cultivate composite cross-border e-commerce talents, and the teaching reform of cross-border e-commerce courses is imperative. Under the guidance of the blending learning mode, we will design and build cross-border e-commerce curriculum content, stimulate students' learning enthusiasm, improve their learning ability and innovation and entrepreneurship ability, so as to grow into qualified cross-border e-commerce talents faster.

The initial development of cross-border e-commerce in China occurred in Guangdong province, and developed very rapidly in recent years. This paper studies the present situation of cross-border e-commerce in Guangdong province and analyzes the problems, such as the lower requirements for market access, high logistics costs, the lower efficiency industrial chain digital transformation and upgrading process, the lack and of proficient and talents in operation area, and lower efficiency of customs clearance, consequently acquires the solutions to promote the development of cross-border e-commerce in Guangdong province.

With the rapid advancement of the internet and mobile technology, the global e-commerce industry is experiencing unprecedented growth. As the largest e-commerce market in the world, China has made significant progress in e-commerce infrastructure, payment methods, and logistics systems in recent years. However, international students in China may face challenges and opportunities in the online shopping environment that differ from those in their home countries. As a unique consumer group, the online shopping behavior of international students is influenced not only by personal characteristics, technology acceptance, and other factors but also by their cultural backgrounds. This study aims to explore the behavior patterns of international students in China’s online shopping environment, particularly how online shopping perceptions, cultural differences, and purchase intentions jointly influence their online shopping behavior. Through a questionnaire survey, this research selects foreign students from Chongqing and Chengdu as subjects, establishing an empirical model covering e-commerce perception factors, cross-cultural adaptation characteristics, consumption decision tendencies, and cross-border online shopping behavior. The study systematically analyzes the interactive effects of multiple factors on international students' online consumption behavior. The introduction chapter outlines the research's value and practical significance, clarifies the academic objectives and research approach, and summarizes the innovative dimensions and academic breakthroughs of this study. The theoretical foundation chapter integrates consumer decision-making mechanisms, rational behavior frameworks, technology adoption models, risk perception theories, and cross-cultural adaptation theories, constructing a multi-dimensional academic analysis framework. The model construction chapter clearly defines the observed and latent variables in the empirical study, establishes a quantifiable indicator system, and deduces a series of testable hypotheses based on theoretical reasoning. In the research implementation section, the focus is on data collection standards and quality control processes, detailing the dimensional division and scale selection criteria for the questionnaire design, as well as sampling strategies and the effective response rate of the questionnaires. The data analysis module uses statistical software to systematically process the sample data, conducting internal consistency tests, structural validity verification, multicollinearity diagnostics, and hierarchical regression analysis, ultimately completing the empirical validation of the research hypotheses. The core objective of this study is to explore the consumption characteristics of foreign students on Chinese e-commerce platforms, with a focus on how online consumption perception dimensions (including perceptions of shopping convenience, ease of use, transaction risks, and platform trust) influence actual purchasing behavior through the mediation of purchase intentions. The study also examines the moderating effects of cross-cultural dimensions (involving individual value orientations, class cognition differences, and risk aversion tendencies) in the consumption decision-making chain, providing empirical evidence for optimizing international user service experiences on cross-border e-commerce platforms. Through in-depth data analysis and hypothesis testing, this research aims to provide targeted marketing strategy recommendations for e-commerce platforms, helping them better understand and serve this important international consumer group, thus promoting the development of cross-border e-commerce.

The current China's cross-border e-commerce is a new type of trade that is developing rapidly. Its cross-border e-commerce logistics industry in China has great potential, but the lag in cross-border logistics development also restricts the development of cross-border e-commerce. This article first describes the development status of China's cross-border e-commerce, and analyzes the status and operation mode of cross-border e-commerce logistics. Second, it analyzes the existence of cross-border e-commerce logistics in China. Finally, some countermeasures are proposed for the existence of cross-border e-commerce logistics.

With the support of qualified employees, PT BPR PPK is a banking company that provides excellent customer service. According to interviews with Bank P employees and customers, customers are dissatisfied with the information they receive. Employees sometimes responded to customer inquiries about Bank P's products and banking within 1 to 2 weeks. Additionally, not everyone can access the website due to a lack of understanding of technology, particularly among older customers. As a result, customers require a more detailed, interactive, and easily accessible information system, mainly through integrating AI technology as a chatbot into the WhatsApp application. This research aims to make it easier for customers to access Bank P's banking information. The chatbot design employs the waterfall method, utilizing dialog flow tools and a decision tree chatbot type that aligns with the user's needs. According to black-box testing results, the chatbot system meets functional needs and follows the database. Meanwhile, the user satisfaction questionnaire yielded an average accuracy of 98.6%, demonstrating the chatbot's feasibility in providing customers with the necessary information. The chatbot system also received a positive response from users.