Current Cross Border e-Commerce Companies Developmental Problems AND Countermeasures

At present, traditional business models are gradually being replaced, and companies in different industries and fields are paying much attention to the innovation and reform of e-commerce business models. First of all, this article summarizes the e-commerce business model applicable to this article through the literature induction method, the detailed explanation of cross-border e-commerce business model, and the innovation of domestic and foreign business models. It categorizes business models and introduces cross-border import business. It also introduces the development process of cross-border e-commerce in China’s consumer market, business processes, and the success factors of cross-border e-commerce. And, it introduces an evaluation matrix to create a cross-valuation model. The final research results show that the cross-border e-commerce business model has been comprehensively evaluated based on the evaluation index system. From the evaluation indicators and weights, it can be concluded that the organizational value weight of the platform in the cross-border e-commerce business model accounts for the largest weight, occupying a weight of 0.6370. Among the secondary evaluation indicators, the weight of key business capabilities accounted for the largest proportion, reaching 0.8571.

The rapid development of the “Internet+” has ushered in a new era of global digital technology innovation. Concurrent with the deepening trends of economic globalization and integration, international trade is progressively undergoing extensive digitization, with cross-border e-commerce emerging as a significant manifestation of this transformation. Within this landscape, the cross-border e-commerce B2B platform is anticipated to become a pivotal driver for China’s cross-border trade growth, representing a strategic opportunity for trade transformation. This paper provides a comprehensive examination of the concepts, characteristics, and development status of cross-border e-commerce and B2B platforms, considering both global and Chinese perspectives. Focusing on a prominent case study, Alibaba International Station, a B2B cross-border e-commerce platform, the paper delves into its business model and core competencies, offering a thorough analysis of its role in the intricacies of international e-commerce and its contribution to the field. Drawing on insights gained, the paper concludes by presenting targeted recommendations from both the platform and government perspectives. These suggestions are informed by a nuanced understanding of the development opportunities and challenges facing China’s cross-border e-commerce B2B platforms.

With the development of strategic goals of “The Belt and Road”, cross-border e-commerce has developed prosperously in China. The application of big data has been a vital strategic measure for cross-border e-commerce in “Internet+” era. Based on the motivation of many cross-border e-commerce enterprises to apply big data in marketing, this paper researches the procedures and fruits of applying big data into the accurate marketing of cross-border e-commerce combining the qualitative methods and literature review. It concluded that applying big data to cross-border marketing not only provides consumers' convenience but also enterprises' benefits of various aspects. Therefore, the research on the application of big data in accurate marketing of cross-border e-commerce bears practical significance.

Big data, with 4V features, distributed data processing and business intelligence analysis capabilities, is in many ways capable of promoting marketing, improving customers' relation management, optimizing logistics and operational efficiency of cross-border e-commerce. This article studies the big data platform structure and commercial value for cross-border e-commerce, then analyzes several applications of big data on cross-border e-commerce such as dynamic pricing, cross-border correlation marketing and mobile+social network marketing and provides relevant suggestions for cross-border e-commerce platforms and enterprises.

As a main new business model of Internet plus foreign trade, cross-border e-commerce has become an important way and breakthrough for China creating new foreign trade requirements in Internet economy. Cross-border supply chain management is one of the most important supports for cross-border e-commerce. Compared with domestic e-commerce, the supply chain of cross-border e-commerce faces more risks. In order to effectively identify and avoid the operational risks in the cross-border e-commerce supply chain, this article firstly analyzes the cross-border e-commerce supply chain risks from the operation process of the cross-border e-commerce supply chain. The risks include product selection management risks, cross-border transaction risks, and customs clearance risks that exist in the operation of cross-border e-commerce. Secondly, the cross-border e-commerce supply chain risk evaluation index system is established based on the risk elements. Finally, the risk evaluation is carried out through the FUZZY-ISM evaluation method, and the internal connection of each risk factor and the risk generation mechanism are revealed through structural model analysis, which provides a theoretical reference for cross-border e-commerce enterprise supply chain risk management.

Background At present, due to the rapid growth trend and fierce competition in the cross-border e-commerce industry, workers in this industry often face high-intensity psychological pressure. Long working hours, uncertain performance requirements, and the need to work across time zones in the industry will have a negative impact on employees’ mental health. This high-pressure environment may cause employees to have mental health problems, including serious mental disorders such as schizophrenia. Schizophrenia is a serious mental health disease that has a serious impact on patients’ work ability and social function. Therefore, this study aims to explore the risk of schizophrenia among cross-border e-commerce employees under high-pressure working environment, and explore relevant intervention strategies. Methods The study used a questionnaire survey method to collect data. The questionnaire content included a description of the current cross-border e-commerce work environment, a stress perception scale, and a schizophrenia symptom assessment scale. The data collection subjects were employees of a cross-border e-commerce platform in 2023. A total of 500 questionnaires were distributed and 450 valid questionnaires were collected. The study used SPSS 23.0 software for data analysis, and used statistical methods such as correlation analysis and regression analysis to explore the relationship between work environment stress and schizophrenia risk. Results The study compared and analyzed the correlation between different stress influencing factors and the risk of schizophrenia, and analyzed the disease status of cross-border e-commerce employees under different pressures, as shown in Table 1. From Table 1, under the influence of different pressures, working hours and performance pressure are positively correlated with the risk of schizophrenia among cross-border e-commerce employees, among which working hours have the greatest correlation with schizophrenia. Able to reach 0.45. There is a negative correlation between social support and employee health status, with a correlation of -0.52. And there were statistically significant differences in all high-pressure environment and schizophrenia condition changes (P<0.05). It can be seen that the risk of schizophrenia among cross-border e-commerce employees in a high-pressure environment is greatly increased. Discussion The study verified the significant impact of high-pressure working environment on the risk of schizophrenia among cross-border e-commerce employees. Excessive working hours, performance pressure and lack of social support are the main triggers for employees to develop schizophrenia. Therefore, rationally arranging working hours, reducing unnecessary overtime, and increasing flexible working hours can effectively reduce the risk of employee illness. At the same time, companies should also establish a complete mental health support system to help employees better face stress by improving team support and interaction between employees. These measures can not only effectively reduce employees’ mental health risks, but also improve the overall competitiveness of cross-border e-commerce companies.

Research on the Risk Prevention of Cross-Border E-Commerce Logistics in China by Applying Big Data Technology

Cross-border E-commerce (CBEC) is a specific phenomenon of “Internet + foreign business”, the development trend of international business, and a new development point of the national EC industry strategy. The development of CBEC can meet the growing material and cultural needs of the people, increase business opportunities for small and medium-sized enterprises, and promote the development of the national economy. CBEC is an important strategy for national economic development and a new development opportunity for enterprises. Identifying the factors that affect the development of CBEC is very important for the decision-making of government agencies and enterprises. The main purpose of this paper is to study the development of CBEC based on computer technology. This paper first analyzes the problems existing in the development of CBEC, and uses PEST technology to analyze the external environmental factors that affect the development of CBEC; and analyzes the development path of the CBEC ecosystem. In the process of analyzing the development status of CBEC, it is found that the transaction scale has increased from 9.1 trillion yuan to 10.8 trillion yuan in five years. At the same time, the promulgation of a series of favorable national policies has stimulated domestic demand, and CBEC has huge development space. CBEC has become a rapidly growing market in the field of EC.

The development of the digital trade ecosystem heavily relies on the expansion of cross-border e-commerce (CBEC) platforms. CBEC companies are actively involved in digital transformation (DT) initiatives to bolster their core competencies and market share. E-commerce has experienced rapid growth in recent years, particularly since the global market faced significant disruptions due to the COVID-19 pandemic in 2020. As the market continues to globalize, more Chinese entrepreneurs are shifting their focus towards the international arena. They aim to increase investments in high-tech productivity within their organizations while also concentrating on enhancing their dynamic managerial capabilities to drive transformation within cross-border e-commerce companies. Therefore, the current study examines how organizational DT impacts the management capabilities of Chinese cross-border e-commerce managers from the perspective of dynamic managerial capabilities. The research employed a mixed-method approach. Firstly, a bibliometric analysis was conducted using VOS Viewer and R studio. Data was collected from two databases, Web of Science and Scopus, to analyze publication trends across countries and identify journals with the highest number of publications and citations. This analysis aimed to provide a comprehensive understanding of the context of the subject. Secondly, seven in-depth interviews were conducted using purposive and chain-referral sampling techniques, drawing insights from CEOs based on their real-life experiences with organizational DT. The results of the study revealed that technology has led to the decentralization and flattening of organizational structures. Managers are increasingly using social platforms to connect with experts and potential collaborators. Furthermore, the study highlights the role of psychological support in bolstering dynamic managerial capabilities.

With the development of the Internet economy, cross-border e-commerce platforms, as a new foreign trade mode and economic growth point, have huge market potential by introducing high-quality imported goods to gain the favour of domestic consumers. Taking the Little Red Book as an example, based on the study of the cross-border e-commerce industry environment, this paper explores the business model and competitive strategy of the Little Red Book. Then the current marketing strategy of the Little Red Book as a cross-border e-commerce platform is analyzed in detail. Finally, the article puts forward some rationalized marketing suggestions to sharpen the competitive edge of the platform by combining the developmental characteristics of cross-border e-commerce.

In recent years, the rapid development of China's cross-border e-commerce industry has led to the birth of many cross-border e-commerce platforms, while the outbreak of COVID-19 has brought about a strong impact on both daily life and economic development. In this context, this paper mainly uses the case analysis method and takes Koala as an example to analyse its development strategy's internal strengths and weaknesses as well as external opportunities and threats through SWOT analysis. From the conclusions of the study, it is clear that as a cross-border e-commerce platform, Koala has both unique and universal strengths and weaknesses, while facing the same opportunities and threats as other cross-border e-commerce platforms. This paper not only fills the gap of relatively little research on Koala, but also proposes targeted and innovative suggestions, with a view to enhancing the competitiveness of the company and providing a reference for the future development of the cross-border e-commerce industry.

Purpose: The aim of the article is to present the essence of cross-border e-commerce and its participation in global e-commerce by regions and countries. Particular attention was paid to Poland by identifying the directions of expansion of Polish e-commerce companies and directions for cross-border shopping for e-commerce. Design/Methodology/Approach: The research method was the analysis of literature, reports, and statistical data concerning cross-border e-commerce as well as proprietary surveys conducted among Polish respondents (internet companies, customers of online stores). Findings: Global sales on the internet have been growing dynamically for several years. The increase in value of the e-commerce market in the world is unquestionable, with the yearly average increase being around 20%. The highest annual growth dynamics in the world in 2019 was recorded by e-commerce in Asia and the Pacific, but in the terms of the annual global jump, Mexico was the record holder with 35% increase. Polish e-commerce is one of the most dynamically growing European markets. Practical Implications: Assuming that the dynamics of e-commerce growth in the world will continue, it is necessary to observe global trends, focusing especially on developing markets which are the most promising e-commerce markets for cross border e-commerce, as indicated in this research. Identification of the trends is desirable from the point of view of e-commerce market participants: both regions, countries, companies and individual customers. Originality/Value: The study covers an important aspect of international exchange on the e-commerce market, presenting trends, dynamics and determinants of cross border e-commerce in individual countries, as well as indicating the most promising e-commerce markets in the world for cross border e-commerce. It focuses on the aspects which create cross border e-commerce in Poland regarding buying abroad and selling.

With the popularization of artificial intelligence and big data (BD) analysis technology in various fields, these fields have greatly improved work efficiency. Nowadays, the enrollment scale of schools is constantly expanding. How to obtain the largest development results with the least cost has become a new topic that needs to be solved urgently, and it also brings new development and challenges to teaching management. This topic is mainly to understand the application of big data (ABD) analysis technology in teaching management, and to make better use of the advantages of BD in teaching management. This article mainly adopts experimental research method and statistical analysis method to analyze the experimental performance test of the teaching system and the attitude of teachers and students (TS) to the performance of the teaching system. According to the survey results, the performance of the system can meet the needs of basic users, and most TS like the performance of the teaching system. Therefore, it is necessary to study the ABD analysis technology in teaching management.

With the deepening of the EU Green Deal, global cross-border e-commerce is rapidly moving from a “cost-driven” to a “compliance-driven” model. Drawing on institutional theory and ecological modernization theory, this paper builds a four-dimensional framework of “institutional pressure–platform governance–technological empowerment–standards game” to examine how CBAM, Digital Product Passports (DPP) and the Packaging and Packaging Waste Regulation (PPWR) reshape China’s cross-border e-commerce ecosystem. The analysis shows that EU green rules are creating a full-chain compliance system from upstream carbon pricing to downstream digital traceability and packaging norms, fundamentally altering cost structures and business models. Platform firms are reconfigured from neutral intermediaries into “green compliance gatekeepers,” using algorithms, certifications and logistics rules to internalize external regulation. At a deeper level, methodological gaps between ISO-based carbon accounting and the EU’s PEF system, coupled with asymmetric LCA databases, generate hidden green technical barriers. The paper proposes countermeasures in database co-construction, platform-based compliance tools and enterprise-level eco-design.

This paper first analyzes credit assessment of cross-border E-commerce platform suppliers based on big data from two aspects: credit evaluation index system and credit evaluation model. On this basis, this paper summarizes the recommendations of supplier credit assessment for cross-border E-commerce platform based on big data, in order to provide reference for the work of supplier credit assessment for cross-border E-commerce platform from the perspective of big data, hoping that this study can help promote the cross-border E-commerce platform construction and cross-border E-commerce industry development.