Cross-border E-commerce Enterprises Research Articles

Cross-border e-commerce model innovation on consumer psychological anxiety from the perspective of consumer psychology

BackgroundWith the rapid development of cross-border e-commerce, consumers often face psychological anxiety disorders when making international shopping. However, there are still relatively few studies on the impact of cross-border e-commerce model innovation on consumer psychological anxiety disorder.Subjects and Methods100 cross-border e-commerce consumers were selected for the experiment, and the data were collected by questionnaire survey. The study sample included consumers from different regions and different age groups. Stanford Acute Stress Response Questionnaire (SASRQ) and 3-Minute Delirium Diagnosis Scale (3D-CAM) were used to assess the mental health status of the subjects, while SPSS23.0 was used for statistical analysis and regression analysis to analyze the impact of cross-border e-commerce model innovation on consumer psychological anxiety disorders.ResultsThe results show that cross-border e-commerce model innovation has a significant impact on consumer psychological anxiety disorder. Innovative payment methods and logistics methods can reduce consumers’ sense of unease and reduce their psychological pressure during the shopping process. At the same time, innovative shopping experiences and customer service can provide consumers with a better experience and ease their psychological anxiety.ConclusionsThe innovation of a cross-border e-commerce model can effectively reduce the psychological anxiety disorder of consumers. In order to improve the shopping experience and satisfaction of consumers, cross-border e-commerce enterprises should focus on innovating payment methods, logistics methods, shopping experience and customer service. Personal characteristics also need to be considered in the model innovation of cross-border e-commerce to meet the needs of different consumer groups.

Measurement of the Development Level of Cross-border E-Commerce in China's Provinces

In the context of the weak growth of traditional foreign trade, cross-border e-commerce has become an important means for Chinese enterprises to carry out international trade, and has played an important role in promoting the stable growth and structural adjustment of China's foreign trade. This paper selects sample data of 31 provinces in China from 2014-2021, and measures the level of cross-border e-commerce development in China's provinces using factor analysis from 22 subdivision indicators in three dimensions: infrastructure, cross-border e-commerce application degree and environmental support. The study of measuring and evaluating the level of cross-border e-commerce development in China's provinces helps to further identify the level and spatial differentiation of cross-border e-commerce development in each region of China, make horizontal comparisons of the development levels of different regions, and provide a scientific basis for formulating e-commerce policies from the perspective of spatial differentiation and economic development. The empirical results show that the overall cross-border e-commerce development in China's provinces maintains a good growth trend, but there is a large gap in the level of cross-border e-commerce development among different regions, with Guangdong, Beijing, Jiangsu, Zhejiang and Shandong belonging to the first echelon of cross-border e-commerce development, while western provinces such as Tibet, Ningxia and Qinghai are lagging behind in cross-border e-commerce development, and there is a significant gap in the level of cross-border e-commerce development among the eastern, central and western regions. Factor analysis also shows that the digitalization level of cross-border e-commerce enterprises, the level of technological innovation, express delivery, the number of cross-border e-commerce comprehensive pilot zones and other cross-border e-commerce development environment have a greater impact on the level of cross-border e-commerce development, to improve the level of cross-border e-commerce development, we should take the declaration and construction of cross-border e-commerce comprehensive pilot zones as a grasp to point and surface; we should pay attention to the main position of enterprises in cross-border e-commerce development, and give financial, talent, technical and other support to cross-border e-commerce enterprises. We should pay attention to the environment construction and optimization of cross-border e-commerce development, pay attention to the linkage of industrial development between regions, play a complementary role between regions, and promote the further development of cross-border e-commerce.

The Path to Improving the Competitiveness of Small and Micro Cross-border E-commerce Enterprises in the Digital Trade Era

The Path to Improving the Competitiveness of Small and Micro Cross-border E-commerce Enterprises in the Digital Trade Era

Strategy of Cross border E-commerce Platform Operation Model – Case study of Tmall Global

With the rapid development of information technology and the increasingly obvious trend of economic globalization, cross-border e-commerce has developed rapidly against the background of the rapid development of e-commerce worldwide and with the support from all parties. Tmall Global under Alibaba Group is the most representative case currently. The operation model of cross-border e-commerce in China is still in the exploratory stage. This paper takes Tmall Global under Alibaba Group as an example to study the operation model and optimization strategies of cross-border e-commerce in China. Firstly, it outlines the relevant research and theories on operation models, as well as the operation models and innovative elements of cross-border e-commerce enterprises. Secondly, based on the discussion of China's cross-border e-commerce operation model and innovation, it analyzes the constituent elements of the cross-border e-commerce operation model. Then, through comparative analysis of the advantages and disadvantages of Tmall Global's and Amazon's, JD's and other typical domestic and foreign cross-border e-commerce operation models, it explores the optimized development enlightenment of cross-border e-commerce operation models. Finally, it studies the development optimization strategies of China's cross-border e-commerce operation model, and elaborates from aspects such as customs clearance efficiency, policy system, cross-border logistics and credit system.

Intellectual capital and employee innovative behavior in cross-border e-commerce enterprises: the moderating role of career sustainability

PurposeTo cope with intensifying uncertainties coupled with the rapid advancement of information communication technology (ICT), understanding how to encourage employees' innovative workplace behavior (IWB) is imperative, with two motivational concerns: (1) the possession of critical knowledge resources characterized by intellectual capital (IC) to better reconfigure new and existing knowledge and (2) the development of career sustainability to handle ICT-enabled intricate job arrangements. The authors investigate the relationships among IC, career sustainability and IWB in Chinese cross-border e-commerce enterprises (CEEs), which are becoming increasingly prevalent and central to the global economy.Design/methodology/approachUsing data collected from 417 participants employed in Chinese CEEs, the authors used regression analyses to test the authors' hypotheses.FindingsHuman capital (HC) and structural capital (SC) exerted inverted U-shaped influences on IWB, while relational capital (RC) was positively related to IWB. Perceived career sustainability positively moderated such associations between HC and IWB and between SC and IWB; perceived career sustainability negatively moderated the positive RC-IWB relationship.Practical implicationsResults can inform managers which components of IC and how managers are related to IWB so crucial for success of CEEs with ICT-enabled, intricate architectures of knowledge exchange. The authors' results can help global managers and policymakers to more appropriately allocate scarce knowledge resources to maximize innovative behaviors in the highly competitive international business context.Originality/valueFrom the knowledge-based view (KBV) of firm innovation, the authors examine the differential effects of IC components on employee IWB amid coronavirus disease 2019 (COVID-19) through a novel lens of employees' perceptions of career sustainability, enriching the literature at the intersection of IC, knowledge management (KM) and career development. The authors' cross-level analysis links micro-level variables to organizational IC in the new normal.

The Application of Big Data Technology in the Efficient Development of Cross-Border E-Commerce Industry

Abstract As a typical ecology of “Internet+”, cross-border e-commerce enterprises have a huge amount of data, but it is difficult to use it effectively. This paper researches the generation and development of cross-border e-commerce big data, proposes the association rule algorithm based on Apriori to mine and analyze the cross-border e-commerce data, improves the problem of high time cost of Apriori algorithm, optimizes the clustering analysis method of quantitative attributes, and adopts the distance-based quantitative association rule to search for frequent classes, and analyzes the big data of cross-border e-commerce platforms based on the improved algorithm. Big data of cross-border e-commerce platform. Based on the analysis of the high demand of the cross-border e-commerce platform based on big data, the prediction error rate is 1.75%, 2.27%, 5.48%, 2.49%, 2.91%, 2.08%, 10.18% and 1.81% in order. In terms of user portraits, the accuracy of big data analysis of users’ purchasing power, purchasing habits and consumption intentions reached 86.10%, 73.43% and 90.48% on average. Big data technology helps cross-border e-commerce companies optimize the industry chain, improve operational management efficiency, enhance consumer experience and establish a brand effect.

Optimization of cross-border e-commerce marketing strategy based on deep learning model

Abstract The advent of the era of artificial intelligence provides technical support for cross-border e-commerce marketing to break the traditional competitive model and make efforts to build an online shopping platform that can meet international sellers’ and consumers’ transactions at any time around the world. This paper constructs a cross-border e-commerce marketing strategy optimization model based on deep reinforcement learning and convolutional neural network under artificial intelligence technology and explores the optimization method of the cross-border e-commerce marketing strategy by verifying the accuracy of the model and mining and analyzing the example data of Company A’s cross-border e-commerce platform. From the data, the accuracy of the deep convolutional neural network model is 99.47%, the proportion of beauty and beauty, mother and child care, and medical and health products in the product marketing strategy is 79.92%, 71.48%, and 59.93%, respectively, and the proportion of search traffic of the top three keywords in the search channel marketing is 42.69%, 31.23%, and 22.65%, respectively, and the ranking of the bottom The average traffic search of the seven types of keywords is less than 10%. This also shows that the optimization of a cross-border e-commerce marketing strategy based on the deep convolutional neural network can clearly analyze the data in the current marketing strategy, guide how to optimize the marketing strategy based on the data, and then improve the economic benefits of cross-border e-commerce enterprises. Applying a deep convolutional neural network model in a cross-border e-commerce marketing strategy also provides a direction for the new development field of artificial intelligence technology, which is beneficial to the further development of artificial intelligence technology.

Exploring the Innovative Application of Azure Cloud Computing Platform in Cross-border E-commerce Operation

This study focuses on the potential application of Azure cloud computing platforms in Cross-border E-commerce operations, especially in Cross-border E-commerce from China to Southeast Asia. First, we review the basic concepts and characteristics of the Azure cloud computing platform and its potential advantages in e-commerce operations, including improving efficiency, reducing costs, and supporting innovation. Then, we analyze the specific application of Azure's leading cloud technology tools, such as Azure Data Factory, Azure Machine Learning, Azure Databricks, and Azure Bot Service, in Cross-border E-commerce operations. And how to use these tools to optimize Cross-border E-commerce operations. In addition, we build an application framework of Azure in Cross-border E-commerce operation optimization, aiming to help Cross-border E-commerce enterprises make reasonable decisions in cloud technology adoption. In the final section, we summarize the main findings and contributions of this study, point out the limitations of the study, and make recommendations for future research. We expect this study to provide a reference for Cross-border E-commerce enterprises to adopt cloud technology, improve operational efficiency and reduce operating costs, and provide theoretical support for future related research.

Study on the Development Path of Guangdong-Hong Kong-Macao Greater Bay Area and ASEAN Cross-Border E-Commerce Under the RCEP Framework

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.

Cost Control System of Cross-Border E-Commerce Based on Fractional Differential Equation

Abstract The fractional differential equation is used to quantify the cost management system of Chinese cross-border e-commerce enterprises. At the same time, the influence mechanism of this system is preliminarily explored in this paper. Then this paper makes quantitative and simulation tests on the balance and stability of the cost control system of cross-border e-commerce. At the end of the report, the impact of new laws and regulations on the cost control of international e-commerce in China is analyzed. The results show that multinational e-commerce can make Chinese export gain more significant development in expanding margin and intensive margin. It is more evident in developing marginal effect but lags in intensifying marginal effect.

Fractional Differential Equation in the Cost Control System of Cross-Border E-Commerce

Abstract This paper establishes a cost management model of cross-border e-commerce based on a fractional differential equation. Firstly, this paper constructs a fractional differential equation game model of the platform’s evolution and consumer and government regulation. Then this paper studies each participant’s interests and cost control in the supervision and management of international e-commerce. Finally, this paper makes a dynamic simulation of cross-border e-commerce. It discusses the decision-making process of cross-border e-commerce enterprises in the operation factors of the alliance. Through the numerical simulation of MATLAB, it can be seen that standardized management can reduce the cost sensitivity of enterprises in a sense. The cost control system model of cross-border e-commerce based on fractional differential equation has high accuracy and strong applicability.

Risk and Control of Cross border E-commerce Enterprises from the Perspective of Internal Audit

From the perspective of internal audit, exploring that cross-border e-commerce is the main form of popular enterprise development at present and an inevitable product under the Internet. However, it is precisely in this environment that compared to the audit work of traditional business industries, the audit business conducted by cross-border e-commerce enterprises will generate larger business and the transaction process is relatively more complex, which requires the supervision and evaluation function of internal audit, Strengthen internal management and enhance transaction standardization, identify, analyze, evaluate, dispose of, and mitigate risks more efficiently, and establish a comprehensive and full process risk warning system. Therefore, establish a control mechanism led by internal audit, integrating internal audit throughout the entire process of cross-border e-commerce risk control, and promoting the healthy and sustainable development of cross-border e-commerce enterprises.

Study on Talent Skills Analysis and Talent Demand of Cross-border E-Commerce Enterprises in Wuhan

Since Wuhan became a comprehensive pilot zone for cross-border e-commerce, the city has seen a significant rise in import and export trade by virtue of its superior geographical location and continued ability to sustain talent. However, with the continuous development of the digital economy, related positions have tended to become more complex and refined, and cross-border e-commerce practitioners need to continuously improve their comprehensive ability and professionalism. Although there are many universities in Wuhan, which can deliver a large number of cross-border e-commerce and related professional graduates every year, a large amount of data shows that there is a large discrepancy between the supply of talents and the demand of enterprises. This study focuses on investigating and analysing the skills of employees in cross-border e-commerce enterprises in Wuhan, through conducting surveys on supply chain management positions, trade service positions, sales positions, operation positions and design positions, to understand and analyse the skills mastery of employees working in cross-border enterprises in Wuhan, and to summarise the situation, so as to provide advice on the curriculum setting and talent training programmes of cross-border e-commerce majors in Wuhan and universities in other regions. The survey will provide advice on the adjustment of the curriculum and talent training programmes for cross-border e-commerce majors in Wuhan and other regional universities, so as to promote the better and sustainable development of cross-border e-commerce in China.

Financial and Logistical Service Strategy of Third-Party Logistics Enterprises in Cross-Border E-Commerce Environment

As competition in the cross-border logistics-service market intensifies and demand rises, enterprises with third-party logistics (3PL) combine logistical and financial services to provide comprehensive services. This study considers a secondary supply chain consisting of a cross-border e-commerce enterprise and a 3PL enterprise. When cross-border e-commerce enterprises lack funds, 3PL enterprises can provide them with inventory pledge loans. Thus, we establish a Stackelberg game model between the abovementioned parties. We consider the stochastic fluctuation of exchange rate and demand, establish a combined decision model of the logistics-service level and financial service pledge rate of the 3PL enterprise when logistics services affect offshore market demand, and prove the existence of an optimal solution. Studies have shown that the optimal logistics-service level and pledge rate increase with an increase in import tariffs and logistics sensitivity coefficients in offshore markets. Meanwhile, they decrease with an increase in the capability coefficient of 3PL enterprises, exchange rate fluctuation, default rate, and price sensitivity factor in offshore markets. In addition, the more capable 3PL enterprises are, the greater the expected profitability of the entire supply chain. We also utilize authentic data to verify the abovementioned inference and establish its validity.

The development dilemma and countermeasures of Chinese cross-border e-commerce enterprises under the background of big data

Cross-border e-commerce has gradually emerged with the popularity of the Internet in the world. It represents a new business model of e-commerce. The public is still the same as the daily shopping model on e-commerce platforms. However, cross-border e-commerce can be divided into two parts at home and abroad. With the continuous emergence of new social models such as the Metaverse, the data generated by online social networking is becoming larger and larger, and data science has developed accordingly, and the effective use of data has become the key to the rapid development of various industries. Big data technology is the key to data science. A data processing and analysis technology generated in the development process, its use in the development of cross-border e-commerce enterprises will help enterprises to create products that are more in line with the actual requirements of the masses, increase the profits of enterprise operations, and allow enterprises to complete the era of data science smooth transition. This paper first describes the big data technology and related theories of cross-border e-commerce, and then takes Alibaba as an example to describe the SWOT analysis of my country’s cross-border e-commerce enterprises, and then analyzes the development dilemma of China’s cross-border e-commerce enterprises, and finally designs The development strategy of my country’s cross-border e-commerce enterprises based on big data is presented. Through a questionnaire survey of cross-border e-commerce enterprises that use big data technology in my country, it is found that cross-border e-commerce enterprises that combine big data technology have a greater understanding of overseas customers’ consumption psychology, integration of warehousing and logistics resources, and talent training. promote.

Analysis of Successful Marketing Mode in the Background of E-commerce——Taking SHEIN as an Example

Economic globalization is an inevitable result of world economic development and an important feature of global economic development. It can promote the rational allocation of resources and production factors, and help achieve effective flow of global capital and products. In the context of economic globalization, cross-border e-commerce has achieved leapfrog development and has become a new global economic breakthrough, which has attracted extensive attention from all sectors of society. SHEIN, a cross-border e-commerce enterprise, successfully captured the dividend of the times and became a typical representative. This paper makes a comprehensive and specific study of the successful rise of SHEIN brand from four aspects: the overall situation of SHEIN, the market environment, the marketing strategy, and the inspiration for reference, and takes SHEIN as a case to analyze the successful marketing model under the e-commerce background. This paper first gives a brief overview of SHEIN, and then analyzes SHEIN's advantages, disadvantages, development opportunities and threats. It is concluded that SHEIN has successfully formulated a market positioning strategy and has made good use of product strategy, price strategy, communication strategy and channel strategy. Finally, taking SHEIN as an example, it gives inspiration to other cross-border e-commerce enterprises in China: to formulate an overall strategy for brand going to sea, Strengthen product R&D and design capabilities, and improve the operation of the linkage e-commerce platform. Chinese cross-border e-commerce enterprises should also fully learn from experience, make unremitting exploration and efforts to develop, so as to drive the development of China's cross-border e-commerce.

Factors and Formation Path of Cross-Border E-Commerce Logistics Mode Selection

Choosing a suitable cross-border logistics mode is the foundation for cross-border e-commerce enterprises to achieve sustainable development. Based on an analysis of the literature, the cross-border logistics modes are summarized as postal parcel, international express, overseas warehouse, and special line logistics modes. Using the multi-value set qualitative comparative analysis (mvQCA) method to explore the factors and formation paths of logistics mode selection of cross-border e-commerce enterprises, the results include the following: (1) The choice of logistics mode is the result of multiple condition variables, and the formation paths of different logistics mode selection vary. (2) The postal parcel mode is most selected by small and medium-sized B2C cross-border e-commerce enterprises; the overseas warehouse and special line modes are most selected by large and medium-sized ones with high logistics service capacity. (3) The international express mode is selected by B2C cross-border e-commerce enterprises of all sizes, and there is no typical formation path. The results indicate that cross-border e-commerce enterprises should have clear positioning and select the most suitable logistics mode, as only in this way can cross-border e-commerce and logistics enterprises jointly achieve sustainable development.

Toward an Efficient and Effective Credit Scorer for Cross-Border E-Commerce Enterprises

Building an efficient and effective credit scorer for enterprises is an important and urgent demand in the cross-border e-commerce industry. In this paper, we present a framework to build a credit scorer using e-commerce data integrated from various sources. First, an improved dependency graph approach is proposed to recognize distinct records in the dataset. Then, we apply logistic regression using a prejudice remover regularizer to train the model, preceded by predictor preparation through binning and evaluating their information value. Lastly, we build the credit scorer according to the coefficients of the model. We implement our framework on a dataset from the official customs database and a large cross-border e-commerce platform. The empirical results demonstrate that the scorer built by our methodology can be used to effectively evaluate enterprises, while also removing prejudice against small and medium enterprises to a certain extent.

Research on the Development Path of China's Cross-border E-commerce Platform

China's cross-border e-commerce is developing rapidly, and the Internet and foreign trade are developing simultaneously. However, with the development of cross-border e-commerce, cross-border e-commerce has also exposed many problems, such as non-standard cross-border e-commerce, unsafe trading platforms and so on. As a result, consumers' trust in cross-border e-commerce enterprises is not high, even in the country, which has a worse impact. In the face of these problems, this paper optimizes the development path of the cross-border e-commerce platform from four aspects: establishing a unified cross-border e-commerce industry specification, strictly controlling the quality of cross-border e-commerce products, improving the comprehensive service capacity of cross-border e-commerce, and improving the efficiency of commodity logistics transportation.

A Proposed Framework of the Impact of Knowledge Management and Green Innovation on the Sustainable Development of Cross-Border E-Commerce Enterprises: The Moderating Role of Artificial Intelligence

A Proposed Framework of the Impact of Knowledge Management and Green Innovation on the Sustainable Development of Cross-Border E-Commerce Enterprises: The Moderating Role of Artificial Intelligence