Cross-border E-commerce Platforms Research Articles

Cross-Border E-commerce Product Introduction: Needs and Characteristics for Localized Machine Translation

With the development of science and technology and the rise of international trade, cross-border e-commerce platforms play an important role in international trade. While machine translation plays a crucial role in the introduction of goods in cross-border e-commerce, many machine translations have limitations, such as inaccurate descriptions and not conforming to Internet trends and cultural conflicts. Therefore, this study aims to investigate the characteristics of localization translation and apply them to the establishment of a machine translation corpus. By conducting questionnaires, this paper analyses the translation characteristics and user needs of cross-border e-commerce product introductions. The results found that product introduction translation needs to have the following characteristics: accurate description, comprehensive description, vivid description, concise description, and cross-cultural homogeneity. Based on the analysis, this study raises credible and valid suggestions and provides insights into building a machine translation corpus.

How e-commerce can boost China’s high-quality agricultural exports

IntroductionExport quality improvement is a crucial path for a country or region to climb up the advanced division of labor in the global value chain. For developing countries that have long been at the lower end of the global value chain division of labor, the dominance of agricultural trade is often controlled by international retailers, leading to higher costs of agricultural trade and hindering the upgrading of the quality of agricultural exports. As a traditional agricultural exporting country, China still needs a competitive advantage despite the large scale of its agricultural exports. Currently, e-commerce can provide buyers and sellers with comprehensive transaction information and technical support, allowing them to realize rational allocation of resources and export upgrading. Therefore, studying how e-commerce can promote the quality upgrade of agricultural exports is crucial for China to build a trade power.MethodsThis paper clarifies the mechanism of e-commerce’s theoretical impact on the quality of agricultural exports and then empirically tests it using a high-dimensional fixed-effects model with Chinese customs data from 2000 to 2020 as a sample.ResultsThe results show that e-commerce significantly promotes the quality of agricultural exports in all regions of China, and this conclusion still holds after various robustness tests; the heterogeneity test shows that e-commerce fosters the quality of agricultural exports in eastern China, densely populated regions, and economically underdeveloped regions, especially in the case of heterogeneous products; the mechanism analysis confirms that e-commerce promotes the quality of agricultural exports mainly through the optimization of the agricultural industry chain and supply chain, and the enhancement of the level of servicing. Mechanism analysis confirms that e-commerce improves agricultural export quality mainly through optimizing the agricultural industry chain and supply chain, improving the level of servitization, and docking the demand information of the consumer market, etc. Expanded analysis shows that constructing cross-border e-commerce platforms also significantly improves the quality of micro enterprises’ agricultural exports. This paper enriches the research on e-commerce and agricultural trade.DiscussionThis paper provides an essential reference for constructing a robust agricultural trade country and developing high-quality agriculture. Despite encompassing data up to 2020, in the context of today’s global economic volatility directly affecting agricultural trade, future investigations will broaden the scope to delve deeper into how e-commerce can help countries cope with global economic uncertainty.

Analyzing the Reasons for Pinduoduo s Stock Market Rise

Due to global consumption trends, people prefer to buy items with lower prices and greater cost-effectiveness. Pinduoduo focuses on sinking the market and takes low prices as its company philosophy. The purpose of this research was to explore how Pinduoduo surpassed Alibaba in U.S. stock market capitalization. Temu, a foreign cross-border e-commerce platform that Pinduoduo launched, will serve as the case study for a thorough analysis. Pinduoduo' s stock market information, Temu downloads, product sales, and other data will be used for analysis and observation. The analysis shows that Temu' s advertising investment in promotion, product discounts, and after-sales services for products has caused Pinduoduo' s stock market to rise. For Pinduoduo to maintain and continue its stock market rise in the future, the suggestions given are to continue advertising, reduce product discounts and promotions to increase Temu' s net profit, and set up 24-hour customer service and professional translation to provide more complete after-sales services.

Influencing Factors of SME Export Performance: Focusing on the Mediating Effect of Utilizing B2B Cross-Border E-Commerce Platforms

Purpose – The purpose of this study is to identify factors that influence the export performance of small and medium-sized enterprises (SMEs). It primarily seeks to elucidate the mediating role played by business-to-business (B2B) cross-border e-commerce (CBEC). Design/Methodology – Following prior scholarly investigations, measurement factors influencing the export performance of SMEs through B2B CBEC were identified. Hypothesis testing was executed by structural equation modeling using Smart PLS 4.0 statistical software. Findings – This investigation demonstrated that the information and communication technologies (ICT) infrastructure and collaborative partnerships within supply chain management (SCM) significantly influence the export performance of SMEs. Furthermore, B2B CBEC was examined in terms of scalability, compatibility, and usability. As a result, it was found to play a mediating role in the impact of ICT infrastructure and SCM partnerships on export performance. Originality/value – This research highlights the crucial role of various factors in the establishment of a CBEC platform by SMEs. Specifically, the study emphasizes the importance of ICT infrastructures and SCM partnerships as pivotal elements affecting the export performance of SMEs. Furthermore, this study investigates the interplay between CBEC platforms and the influence of ICT infrastructure and SCM partnerships on SMEs’ export performance, with particular focus on factors such as scalability, compatibility, and usability. It underscores the capability of these platforms to effectively address challenges related to language barriers, ICT, order management, and logistics. Consequently, SMEs can attain efficient transaction performance without necessitating substantial additional resource investment.

Consumer Feedback Analysis Using LDA Approach in Cross-border E-commerce

Purpose - The objective of this research is to gain insight into consumer feedback regarding cross-border e-commerce, which is a pivotal avenue for companies venturing into global markets. It seeks to investigate the variety of themes present in consumer feedback in order to gain a more profound understanding of their preferences and concerns, ultimately influencing future market strategies. Design/Methodology – The present study utilizes an extensive collection of textual online evaluations and a text-mining LDA framework to analyze and classify potential themes in consumer feedback pertaining to cross-border e-commerce platforms. By quantifying the sentiment tendencies in consumer-related comments, sentiment analysis models that rely on emotion dictionaries as a foundation identify the polarity and intensity of emotions. Findings – The present study examined 1,500 consumer evaluations pertaining to Korean cosmetic products, sourced from a cross-border platform in Southeast Asia. The analysis unveiled five key subjects frequently referenced in consumer feedback. A subsequent sentiment analysis revealed that a significant proportion of consumer sentiments were positive. Nevertheless, consumers identified certain concerns in the minority of negative reviews, including packaging and delivery, product quality, and the absence of freebies. Originality/value - In a practical sense, this provides significant ramifications for the optimization of consumer experiences and the development of successful market strategies in the ever-changing global marketplace. This is especially advantageous for organizations striving for success in the fiercely competitive cross-border e-commerce industry. This study exceeds conventional survey methods in its methodology by offering more comprehensive and datacentric understandings of consumer attitudes and behaviors.

Cross border e-commerce platforms, logistics services and challenges: Basis for efficiency framework for cross border e-commerce industries

Cross border e-commerce platforms, logistics services and challenges: Basis for efficiency framework for cross border e-commerce industries

Price Masking Strategy of Cross-Border E-Commerce Platform Financing

Price Masking Strategy of Cross-Border E-Commerce Platform Financing

A 2TLNS-based exponential TODIM-EDAS approach for evaluating sustainable development of cross-border e-commerce platforms under uncertainty

In the context of globalization, cross-border e-commerce platforms have become the main way for enterprises to achieve international trade transformation and overseas investment. From this, it can be seen that cross-border e-commerce platforms are of great importance to the development of enterprises, and the development of cross-border e-commerce platforms is also a necessary choice for the development of the times. In the new era, in order to make cross-border e-commerce platforms better serve enterprises and bring economic benefits to their development. The sustainable development capability evaluation of third-party cross-border e-commerce (TPCBEC) platform is a MAGDM. Recently, the Exponential TODIM (ExpTODIM) technique and Evaluation Based on Distance from Average Solution (EDAS) technique has been employed to cope with MAGDM issues. The 2-tuple linguistic neutrosophic sets (2TLNSs) are employed as a tool for portraying uncertain information during the sustainable development capability evaluation of TPCBEC platform. In this paper, the 2-tuple linguistic neutrosophic number Exponential TODIM-EDAS (2TLNN-ExpTODIM-EDAS) technique is implemented to manage the MAGDM under 2TLNSs. Finally, a numerical study for sustainable development capability evaluation of TPCBEC platform is constructed to validate the implemented technique. Thus, the main advantages of the proposed 2TLNN-ExpTODIM-EDAS technique are outlined: (1) the proposed 2TLNN-ExpTODIM-EDAS technique not only handles the distances information from the 2TLNNAS, but also portrays the DMs’ psychological behavior during the sustainable development capability evaluation of TPCBEC platform. (2) the proposed 2TLNN-ExpTODIM-EDAS technique analyze the behavior of the TODIM technique and EDAS technique as MADM techniques when they are hybridized.

Research on cross-border e-commerce practical teaching for students majoring in economics and trade: Taking the School of Business at the College of Humanities & Information Changchun University of Technology as an Example

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.

Research on the formation mechanism of brand identification in cross-border e-commerce platforms — Based on the perspective of perceived brand globalness/localness

With the advent of the digital economy, enterprises have been engaging in brand management activities through cross-border e-commerce platforms to secure brand identification (BI) and capture market share. However, scant attention has been given to the impact of perceived brand globalness (PBG) and perceived brand localness (PBL) on brand identification in cross-border e-commerce platforms. This study delves into the underlying mechanisms governing the formation of brand identification in the context of cross-border e-commerce platforms. In this end, we employed the AMOS26.0 software to conduct structural equation analysis on a corpus of 300 survey questionnaires. The results show that: (1) PBG and PBL can exert a positive influence on BI through customer perceived value; (2) acculturation (AC) assumes a positive moderating role in the influence of PBG and PBL on emotional value (EV) and functional value (FV) respectively, (3) and that platform reputation (PR) plays a constructive moderating role in the impact of PBG on FV.

Technology affordance, national polycontextuality, and customer loyalty in the cross-border e-commerce platform: A comparative study between China and South Korea

Given the intense competition in the cross-border e-commerce (CBEC) market, researchers have been exploring information technology (IT) functionalities to promote perceived value and customer loyalty. Building upon technology affordance theory, we develop a two-dimensional taxonomy of CBEC affordance with four archetypes: cross-culture information guidance, cross-culture shopping guidance, triggered attending, and social comparison. We refer to the polycontextual lens and propose a research model to explain how CBEC affordances and national polycontextuality jointly influence perceived value and customer loyalty. We empirically validate the conceptual model with two samples: 232 customers from China and 215 customers from South Korea. Our findings suggest that CBEC affordances significantly strengthen consumer loyalty by enhancing their perceived value. Specifically, cross-culture information guidance and cross-culture shopping guidance have more substantial effects on Chinese customers’ perceived value than South Korean customers’. Conversely, triggered attending and social comparison exert stronger influences on perceived value for South Korean customers.

A comprehensive mixed-methods study on cross-border e-commerce SMEs, digital transformation and dynamic managerial capabilities

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.

Research on Logistics Service Quality and Customer Loyalty of Cross-border E-commerce Platform in China

Research on Logistics Service Quality and Customer Loyalty of Cross-border E-commerce Platform in China

An Empirical Study on Personalized Product Recommendation Based on Cross-Border E-Commerce Customer Data Analysis

Thanks to the rapid growth of cross-border e-commerce platforms, numerous cross-border items are now available to customers. Several serious issues with cross-border e-commerce platforms related to item promotion and consumer product screening have arisen. Particular importance should be placed on studying and implementing personalized recommendation systems based on international e-commerce. In light of the quick expansion of commodities, when making individualized suggestions, traditional recommendation algorithms have had to deal with issues such as scant data, a chilly start to the market, and trouble identifying user preferences. To automatically mine the implicit and latent relationships between users and objects in recommendation systems, this study employs deep learning with nonlinear learning capabilities, which resolves the challenges of user interest mining. The weaknesses of the existing global recommendation research are emphasized, the study of conventional recommendation algorithms mixed with deep learning technology is deep factorization machine (DeepFM) and neural matrix factorization (NeuMF) models. Both models excel in recommending implicit feedback data. The DeepFM model yields the lowest loss function values, while the NeuMF model outperforms the competing models in terms of HR@20 (a commonly used indicator to measure the recall rate) and loss functions. In summary, this research addresses critical issues in cross-border e-commerce by developing personalized recommendation systems and integrating deep learning with traditional recommendation algorithms to enhance global recommendations.

Cross-border E-commerce Business Data Processing in the Background of Digital Economy

Abstract This paper analyzes the cross-border e-commerce industry chain, and explores its customer value and impact on marketing strategy through data mining techniques.The whole process data mining methodology of data cleaning, integration, selection, transformation, mining, pattern evaluation and knowledge representation is adopted to deal with the cross-border e-commerce data.This paper focuses on the analysis of the customer value, the construction of the user profile, and the user behavioral patterns based on RFM model.The results show that the customer value is mainly determined by the customer life cycle and the purchase rate. The results show that the customer life cycle and purchase rate mainly determines the customer value of cross-border e-commerce.In the construction of user profiles, the characteristics and behavioral patterns of different users can be effectively identified through data standardization and the construction of user attribute models.The RFM model reveals the different levels of the user’s activity level, consumption ability and consumption value, which provides the basis for formulating differentiated marketing strategies.The data show that among the 4,130 user samples, the user behaviors and behavioral patterns were identified through clustering and knowledge representation. In the sample of 4130 users, cluster analysis shows that most of the users (72.64%) are ordinary customers. In contrast, the proportion of high-value customers (VIP customers) is only 0.24%, which suggests that cross-border e-commerce platforms need to formulate corresponding service and marketing strategies for different user groups to improve customer satisfaction and purchase conversion rate. At the same time, the cross-border e-commerce industry is experiencing changes such as platform fission, marketing innovation, and sinking of service targets, which poses new challenges and opportunities for e-commerce platforms’ operation and management.

Research on operational strategy and risk management of cross-border e-commerce platform

Research on operational strategy and risk management of cross-border e-commerce platform

Retracted: Analysis of the Business Model of C2B Cross-Border E-Commerce Platform Based on Deep Learning

Retracted: Analysis of the Business Model of C2B Cross-Border E-Commerce Platform Based on Deep Learning

Whether Live Streaming Has a Better Performance? An Examination of Product Presentation Modes on Cross-Border E-Commerce Platform

Scholars have long recognized that product presentation plays an important role for consumers to understand product and make further decisions, but it is not well-tested in the cross-border e-commerce context. Additionally, there exist inconsistent insights regarding the influences of the two major product presentation modes currently used by cross-border e-commerce platforms (i.e., static pictures and live streaming). Therefore, drawing on regulatory focus theory, this study develops a research model to explain and differentiate how live streaming and static pictures affect cross-border purchase intentions through the motivation systems associated with different desired end states (i.e., accessing benefit and avoiding uncertainty). Partial least squares approach and relative importance analysis were used to test the model with 272 survey participants. The empirical results show that both product presentation modes can enhance cross-border purchase intentions through regulatory focus. More interestingly, it shows that static pictures are better at reducing perceived uncertainty, whereas live streaming is more effective at increasing perceived desirability, in leading to higher cross-border purchase intentions. This study contributes to differentiating the impacts of different product presentation modes in attracting cross-border purchase intentions from a regulatory focus perspective and provides practical implications for cross-border e-commerce providers and sellers to leverage distinct product presentation modes to attract consumers.

Digital Marketing and B2B Cross-Border E-Commerce: A Case Study of Alibaba International Station in China

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.

Empowering digital transformation: The roles of platforms

This study investigates how digital platforms can drive the digital transformation of participant firms in their surrounding business ecosystems. To do so, we conduct an in-depth case study of Alibaba’ cross-border e-commerce platform and eleven seller firms operating on the platform. Our results highlight the importance of proper empowerment in platform-driven digital transformation. In particular, we observe that Alibaba attempts to facilitate the digital transformation of seller firms through three types of activities: resource empowerment, psychological empowerment, and structural empowerment. Moreover, we find that the sequence of these empowerment activities plays a critical role. Without being psychologically empowered first, seller firms react quite passively to Alibaba’s resource provision and structural support. Psychological empowerment provides the activation triggers for the sellers to renew their mindsets and become receptive to Alibaba’s support and guidance, which ultimately contribute to the digital transformation of their businesses.