Research on Cross-border E-commerce Platform Supplier Credit Evaluation Based on Big Data Interconnection

A research model is proposed based on the telepresence theory to determine the long-term mechanism for generating consumer purchasing intention and explore potential information haze caused by information overload. A total of 406 usable samples were collected from the consumers of several cross-border e-commerce (CBEC) platforms in China. The results showed that telepresence has a positive effect on benevolence trust, integrity trust, and ability trust. As expected, benevolence trust and ability trust were found to exhibit significant mediation effects, while integrity trust did not have a significant mediation role. The moderated mediation mechanism shows that product information (description, display, and content) restrain mediation paths. The findings provide new perspectives on the information haze caused by information overload. The results suggest that promoting an ability-oriented (ability trust) business philosophy and instilling good corporate character (benevolence trust) are vital in achieving sustainable development in CBEC platforms. Eliminating information haze could also help strengthen the activation effect of telepresence and promote the guiding role of customer trust on purchasing intention. This study's theoretical and management contributions extend our knowledge of optimizing management strategies for CBEC platforms.

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.

As the increasing to the investment amount of the government projects, how to choose a trusted construction agent has became a important problem to the related party. The paper established a credit evaluation index system about the construction agent and a grey relational assessment model based on AHP-entropy theory, which would comprehensive reflected the relevancy and the difference of each indicator, and the weights has achieved a unity of the subjective and objective information. The result showed that the credit evaluation index system and assessment model was scientific and rational, and would provide a perfect guide and reference to the choice of construction agent of the government investment projects.

Exploring purchase intention in cross-border E-commerce: A three stage model

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.

Purpose The purpose of this paper is to develop and test a model of the uncertainties and benefits influencing the repurchase intentions of buyers in cross-border e-commerce (CBEC). Design/methodology/approach The authors draw on the valence framework to hypothesize effects of positive valences (utilitarian benefits) along with negative valences (pre- and post-contractual uncertainties) on buyers’ repeat purchase intentions. Data were collected using an online survey from 378 international B2C buyers on a CBEC platform in China. Findings Results explain 51.4 percent of the variance and reveal that overall value, as determined by monetary saving, convenience and product offerings as positive valences, exerts the strongest effect on repeat purchase intention. However, negative valences remain significant, and are particularly salient for female shoppers. Research limitations/implications The authors extend the valence theory into the study of repeat purchase behavior and contribute to much needed literature on why consumers return to repurchase from a CBEC platform. Practical implications Repeat purchase and loyalty of online consumers is essential for success of e-commerce providers. The results help online providers competing in international markets understand how buyers form repurchase intentions based on their evaluations of both value and uncertainty. Originality/value Buyer behavior in CBEC has received relatively less attention than domestic e-commerce. This paper is among the first to examine how both positive and negative valences combine to effect repurchase intention of international buyers in CBEC.

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.

Big data is regarded as one of the digital technologies and new production factors, profoundly affects the society and economy. SMEs are often difficult to obtain financing from banks and other institutions due to information asymmetry. However, big data has three characteristics, such as diversity, high efficiency, and great potential value. It is usually used in analysis, prediction and evaluation scenarios, which plays a certain role in reducing the financing cost of SMEs. Therefore, this paper analyzes the impact mechanism of big data on the export financing cost of SMEs by describing the current situation of the application of financial big data in China. The conclusion is that big data can reduce the cost of SMEs’ export financing by reducing the cost of credit assessment and risk control brought by information asymmetry, cross-border e-commerce platform and big data help banks to innovate credit model. In addition, according to the conclusion of the study, the paper also draws the Enlightenment of strengthening data sharing and cooperation among relevant departments, promoting the in-depth application of digital technologies in finance and international trade, and paying attention to the protection of data security and privacy.

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.

Taking a byte out of big data

As the global digitization process accelerates and consumer demand for cross-border goods continues to grow, cross-border e-commerce has become an important growth engine for international trade. However, consumers' willingness to continue using cross-border e-commerce platforms is affected by a variety of factors, including insufficient advertising, uneven product quality, unreasonable interface design, lack of promotional activities, and imperfect cross-border logistics systems. These issues result in low consumer retention, low frequency of use, and low acceptance of the platform. By analyzing the factors that affect the continuous use behavior of consumers, this paper proposes optimization strategies, including precise advertising, improving product reputation and experience, improving logistics supply chain, simplifying operation process and subdividing customer groups. The research results show that by improving these key factors, consumers' perceived usefulness and ease of use can be effectively enhanced, thus enhancing their willingness to continue to use, and providing theoretical support and practical guidance for the sustainable development of cross-border e-commerce platforms.

With the accelerated development of global economic integration, the growth of cross-border e-commerce transaction scale, and the support of national policies for cross-border e-commerce, the demand for cross-border e-commerce talents by various cross-border e-commerce enterprises has rapidly increased. Students from various universities have gradually realized that cross-border e-commerce is a good job opportunity. Based on the above reasons, the School of Business at the College of Humanities & Information Changchun University of Technology has timely adjusted its talent training program, carried out integration of industry and education School enterprise cooperation, construction of cross-border e-commerce practice teaching base, establishment of cross-border e-commerce practice teaching platform, active participation in various cross-border e-commerce competitions, two-way cooperation between schools and enterprises, and construction of a practical teaching system that adapts to social development have achieved mutual benefit and win-win situation among schools, enterprises, and students.

With the continuous progress of Internet information technology and the further strengthening of Internet popularity in China, the evolving circumstance of its cross-border e-commerce platforms is presently fully operating. In particular, the B2C platforms for import cross-border e-commerce are developing rapidly. This article first provides a brief introduction to the development status of China's import cross-border e-commerce. It then reviews and synthesizes relevant literature about imported cross-border e-commerce. Based on the collation of literature, this article analyses existing marketing strategies of B2C platforms within the import cross-border e-commerce industry and comprehends the relevant marketing problems generated by these platform providers via two identified case analyses. Finally, combined with the current status of international trade procedures and cross-border e-commerce development trends, the corresponding marketing strategy improvement is proposed.

With the rapid development of the digital economy, cross-border e-commerce platforms provide unprecedented opportunities for firms, particularly small businesses, to expand their business to global markets. While these platforms create tremendous competition for sellers, they also provide a unique platform to empower sellers to gain market insights without physically entering different international markets. This paper focuses on how sellers’ network positions within cross-border e-commerce platforms affect their performance. Specifically, by aggregating thousands of sellers’ and buyers’ transaction data, these digital platforms own massive data on the complex buyer–seller social networks in which sellers can connect with one another through common buyers with whom they have traded. Based on a proprietary dataset from a leading Chinese cross-border e-commerce platform, this study shows how brokerage and closure positions in sellers’ networks influence performance, how such impacts vary in developed versus emerging markets, and how they were affected by macroeconomic shocks such as the global financial crisis. Our research provides important implications for firms going global in the digital economy age and on the critical role of digital platforms in empowering small businesses.

The research on administrative barriers to investment from the perspective of big data is especially absent. So, this paper studies the demonstrate administrative barriers to market investment behavior from the perspective of the spatial big data, and selected the spatial investment flow of all listed companies in Sichuan province and Chongqing municipality as the object of empirical study. Results indicate that the crucially spatial network node of investment network about Sichuan province and Chongqing municipality are respectively located in Chengdu city and Chongqing urban area, but, there is a remarkably dual structure between Sichuan province and Chongqing municipality about the spatial investment network of listing corporation. The integration level of market investment between Chongqing municipality and Sichuan province is rather low, which belongs to the type of seriously local inward investment. Finally, this paper puts forward some countermeasures and suggestions to eliminate the administrative barriers.