Cross-border E-commerce Logistics Research Articles

The death of language barriers? An empirical study based on China’s cross-border e-commerce

ABSTRACT Based on China’s cross-border e-commerce (CBEC) logistics order data from 2017 to 2019, we examine the impact of language barriers on CBEC. By constructing a comprehensive language barrier index, we find that, unlike offline trade, China exhibits higher CBEC exports to countries with greater language barriers. Mechanism analysis indicates that this positive correlation arises from CBEC effectively overcoming phonological linguistic disparities and compensating for the offline trade gap caused by language barriers. Our study contributes to understanding the evolution of the gravity model in the context of CBEC and provides new insights into international business activities.

The Improvement of Logistics Management in China: A Study of the Risk Perspective

This paper identifies and empirically validates the potential risks in overseas third-party logistics services that support sustainable cross-border e-commerce logistics in China. This research addresses a significant gap in the current literature by conducting a comprehensive literature review and case study, primarily focusing on third-party logistics services’ benefits without adequately discussing the associated risks. Our study highlights the medium and high risks in forwarding and contracting processes, such as cost uncertainty, quality issues, and cultural and language differences. The findings contribute to academic research and practical applications by providing a theoretical foundation and practical guidance for enhancing logistics management in China’s sustainable cross-border e-commerce. This research promotes the resilience and sustainability of cross-border e-commerce supply chains and offers valuable insights for overseas 3PL service providers looking to expand their operations in China.

Cross-Border E-commerce Logistics System Optimization Analysis

Cross-Border E-commerce Logistics System Optimization Analysis

Cross-border E-commerce Logistics Optimization Algorithm for Collaboration between the Internet of Things and Logistics

This paper proposes the shortest path optimization algorithm for domestic and overseas e-commerce logistics based on a bilateral search method. This paper uses the logistics distribution route optimization algorithm based on the shortest path to set the collaborative parameters. Then, it builds an adaptive optimization model for the grid planning of domestic and overseas e-commerce logistics path. The route is optimized. Then, the PSO and genetic algorithm are integrated to establish the logistics path planning model of domestic and overseas e-commerce. The superiority of the proposed route optimization algorithm in domestic and overseas e-commerce logistics distribution is verified through simulation experiments. This algorithm has high spatial positioning efficiency and high transportation efficiency.

Case study on synergistic development strategy of cross-border e-commerce and logistics: An empirically model estimation.

This study investigates the dynamic relationship between cross-border e-commerce and logistics co-development strategies within the context of small and medium-sized enterprises (SMEs) in China. The primary objective is to formulate an empirical model capable of estimating the utility and flexibility of cross-border e-commerce logistics, specifically focusing on its role in achieving competitive advantage for SMEs. The research employs a comprehensive approach, considering various factors that influence the formulation and implementation of cross-border e-commerce logistics strategies. Factors such as scale, quality, potential, and infrastructure are scrutinized to provide a nuanced understanding of the dynamic interplay. Real-world data is analyzed using advanced statistical techniques to derive meaningful insights. The data of CBEC and logistics planning in Guangdong from 2013 to 2018 was used as a case example to demonstrate its and flexibility and usefulness of empirically proposed model estimation and develop a holistic indicator system for the evaluation of the synergistic development of CBEC and logistics. This research focus on the modelling of the CBEC for the synergistic effect analysis and evaluate the usefulness and flexibility of CBEC to achieve competitive advantage. The study aims to uncover insights into the most effective approaches for Chinese SMEs in navigating the landscape of cross-border e-commerce. By examining the results derived from the empirical model, the research sheds light on the impact of cross-border e-commerce logistics on competitive advantage. The findings contribute to a deeper understanding of how SMEs can strategically position themselves in the cross-border e-commerce arena. Through the analysis of real-world data and the application of advanced statistical methods, this research offers valuable insights for Chinese SMEs. The insights generated from the study not only illuminate the intricacies of cross-border e-commerce logistics but also provide practical recommendations to reduce associated costs. Ultimately, the study aims to equip SMEs with the knowledge necessary to thrive in the evolving landscape of cross-border e-commerce.

Enhanced cross-entropy framework for multiple-attribute decision-making with type-2 neutrosophic number and applications to cross-border e-commerce logistics service providers evaluation

In recent years, the lack of coordination in cross-border logistics has been one of the challenges and challenges faced by cross-border e-commerce. As the primary link in cross-border logistics, the selection of logistics service providers is an important foundation for promoting the development of cross-border e-commerce, and also a key link in improving the competitiveness of cross-border e-commerce enterprises. How to choose suitable and effective cross-border e-commerce logistics service providers has important theoretical significance and practical application value. The cross-border e-commerce logistics service providers evaluation is a multiple-attributed decision-making (MADM) problem. In this paper, the Type-2 neutrosophic number cross-entropy (T2NN-CE) technique is designed with help of cross-entropy and Type-2 neutrosophic number (T2NN). Furthermore, Then, T2NN-CE technique is built to solve the MADM. Finally, a numerical example for cross-border e-commerce logistics service providers evaluation is given and some comparisons are conducted to illustrate advantages of the designed T2NN-CE technique. The research contribution of the paper is outlined: (1) The T2NN-CE is managed under T2NNs; (2) the T2NN-CE method is implemented for MADM under T2NNs; (3) the T2NN-CE technique for cross-border e-commerce logistics service providers evaluation is constructed and were compared with some existing techniques; (4) Through the comparison, it is known that T2NN-CE technique for cross-border e-commerce logistics service providers evaluation is effective.

Multi-angle perception and convolutional neural network for service quality evaluation of cross-border e-commerce logistics enterprise.

The development of cross-border e-commerce logistics services has injected new vitality into the development of international trade, and therefore has become a new hot spot in theoretical research. In order to ensure the healthy development of cross-border e-commerce, it is urgent to build a set of scientific and effective evaluation mechanisms to scientifically evaluate the logistics service quality of cross-border e-commerce. Multi-angle perceptual convolutional neural network is a framework for service scene identification of cross-border e-commerce logistics enterprises based on deep convolutional neural network and multi-angle perceptual width learning. In this article, both shallow features and deep features were input into the deep perception model (DPM) to obtain a set of distinguishable features with causal structure, which was used to completely describe the high-level semantic information of cross-border e-commerce logistics enterprise services. Among them, DPM mainly adopts the fusion strategy of shallow feature and deep feature. Meanwhile, the feature representation is input into the width learning pattern recognition system for training and classification, so as to evaluate the service quality of cross-border e-commerce logistics enterprises. The multi-angle perceptual convolutional neural network can effectively solve the problems of high similarity between service classes of cross-border e-commerce logistics enterprises and large differences within the class, and achieve better generalization performance and algorithm complexity than support vector machine, random forest and convolutional neural network.

Innovation Trends in Cross border E-commerce Logistics Models

With the rapid development of social and economic level, the strength of urban construction is increasing day by day, which puts forward strict requirements for the development of logistics mode. According to the current actual situation, cross-border e- commerce logistics mode has gradually been widely used, which fundamentally avoids the occurrence of previous problems and will also bring new opportunities and challenges to the development of e-commerce. In order to quickly promote the development of cross-border e- commerce logistics mode, it is necessary to carefully analyze its current development status according to the actual situation and enhance the development progress of cross-border e-commerce logistics mode. Based on this, the research focuses on the innovation and development trend of cross-border e-commerce logistics mode.

Optimisation of cross-border e-commerce logistics model innovation path in the era of digital technology

Abstract Currently, cross-border e-commerce logistics is lagging behind the development of infrastructure imperfections and other issues, so the realization of e-commerce logistics model innovation is a top priority. This paper firstly analyzes the innovation path of cross-border e-commerce logistics mode to shorten the logistics cost and improve the development efficiency of cross-border logistics chain by supply chain, logistics system, packaging, and localization. Secondly, it establishes a logistics operation demand forecasting model based on principal component analysis and radial basis function and introduces the composite system synergy model to measure the logistics matching ability and calculate the cross-border e-commerce logistics matching ability. Finally, quantitative analysis is carried out on three aspects of cross-border e-commerce logistics operations: demand, matching ability, and service effect. The results show that: the application of a cross-border e-commerce logistics model innovation path reduces the potential risk of cross-border express clearance, and the average timeliness of returned express shipment, goods arrival to delivery, product tariff tax rate across the border, and the complaint rate are reduced by 45, 0.5, 0.28, and 0.65 in 2019-2023. Meanwhile, the customer satisfaction is increased from 0.8416 to 0.9641. The cross-border e-commerce logistics model innovation path is proposed to meet the actual needs of social development.

Research on the Development Path of Cross-Border E-Commerce Logistics in the Digital Era

Research on the Development Path of Cross-Border E-Commerce Logistics in the Digital Era

Cross-border E-commerce Logistics Distribution Optimization Based on Iot Artificial Intelligence Algorithm

Cross-border E-commerce Logistics Distribution Optimization Based on Iot Artificial Intelligence Algorithm

Cross-border e-commerce logistics distribution optimisation based on IoT artificial intelligence algorithm

Cross-border e-commerce logistics distribution optimisation based on IoT artificial intelligence algorithm

Retracted: A Cloud Computing-Based Intelligent Forecasting Method for Cross-Border E-Commerce Logistics Costs

Retracted: A Cloud Computing-Based Intelligent Forecasting Method for Cross-Border E-Commerce Logistics Costs

Exploring the cross-border e-commerce of agricultural exports and its logistics supply chain innovation and development strategy under digital technology

Abstract This paper constructs a cross-border e-commerce supply chain information synergy platform for agricultural products, which screens and processes data of relevant business information and finally outputs information that helps cross-border e-commerce business of agricultural products. Through in-depth analysis of the structural characteristics of cross-border e-commerce maritime and air transport international logistics network under the mode of overseas warehouse, we first describe this type of problem and the basic assumptions of the model, set the model parameters, take a set of optimal solutions of Pareto, and model the cross-border e-commerce logistics network under the mode of overseas warehouse under the mode of maritime and air transport, respectively. According to different objectives, the multi-objective model of the international logistics network of cross-border e-commerce sea transportation mode and the multi-objective model of the international logistics network of cross-border e-commerce air transportation mode are established, respectively. After the optimization of the logistics supply chain, the turnover days of accounts receivable are 20 days faster than in the past, which is still 5 days less than the specified target value. The inventory stock days have been decreased from 150 days to 110 days. In other aspects, although there is still a small gap between the actual situation and the target value, most of the score values are close to the established value, and there is a significant improvement compared with the original operational value after improvement through the method of this paper cross-border e-commerce enterprises’ procurement cycle time and order fulfillment cycle time are reduced by 10 days compared with the past and reach the target values.

Research on cross-border e-commerce logistics under the sharing economy model

As an important part of cross-border e-commerce, cross-border e-commerce logistics occupies a very important position in cross-border e-commerce, but its development in China is relatively lagging behind that of cross-border e-commerce, and this situation needs to be resolved urgently. The emergence of the sharing economy model provides possible solutions to the problems in cross-border e-commerce logistics. This article analyzes the current development status of cross-border e-commerce logistics in China, defines and analyzes the feasibility of the “sharing economy + cross-border e-commerce logistics” model, and finally proposes the “sharing economy + cross-border e-commerce logistics” model corresponding policy recommendations to better support cross-border e-commerce to achieve a high level of sustainable development.

Digital Analysis of Logistics and Supply Chain Management Innovation of E-commerce Enterprises in Green Economy

Abstract This paper centers on the logistics and supply chain management of e-commerce enterprises, studies the development mode of e-commerce logistics as well as the logistics process, and constructs a collaborative innovation model of e-commerce logistics integration based on supply chain management. Through the synergistic composite system in the role of management activities, the harmonious coexistence between the various components of the subsystem order parameter in order to achieve the overall effect of the system. The dynamic evolution process of consumers, e-commerce platforms and logistics enterprises is simulated and analyzed, and the optimal decision-making under the integrated collaborative innovation mode is studied. The results show that under the platform warehousing + distribution integration synergy (SP) mode, the double marginal effect is 0.865, and both e-commerce platform and logistics enterprises reach a steady state at 0.723. The purpose of this paper is to propose innovative supply chain management and logistics warehousing solutions that can achieve cross-border e-commerce logistics integration based on supply chain management.

Evolutionary Game Analysis of Cross-Border E-Commerce Logistics Alliance Subject Considering Supply Chain Disruption Risk

Due to the quick rise in cross-border e-commerce and the expansion of global economic integration, cross-border e-commerce logistics alliances now present new opportunities and potential. Simultaneously, research on risk concerns in cross-border e-commerce in the modern era has drawn interest. This paper considers the special scenario of cross-border e-commerce supply chain disruptions, analyzes the main decision-making behaviors of key entities in the cross-border e-commerce logistics alliance under normal and risk scenarios, and based on this, constructs a tripartite evolutionary game model among cross-border e-commerce platforms, logistics service providers, and overseas merchants. The article analyzes the evolutionary stability of strategy choices for all participants, discusses the impact of various elements on the strategy choices of the three parties, and conducts a simulation analysis of the dynamic game of strategy choices for the three parties under the influence of different parameters using MATLAB 2021a software. The findings of the study demonstrate the following: (1) The reduction in the allocation coefficient for additional total costs of logistics service providers, the increase in the overall losses of the alliance due to customer complaints, and the increase in compensation rulings by the platform for supply chain risks faced by merchants will all encourage logistics service providers to actively pursue service innovation strategies and prompt overseas merchants to actively participate in alliance cooperation. However, an increase in overall risk costs and an increase in opportunity costs for merchants will raise the costs of tripartite alliance cooperation, thus hindering cross-border e-commerce logistics alliance collaboration. At the same time, when logistics service providers receive punishment from the platform and face potentially increased losses due to complaints, this will not only enhance the platform’s control over logistics service providers but also reduce the enthusiasm of logistics service providers to pursue service innovation strategies. (2) As the main body of the alliance, cross-border e-commerce platforms should coordinate the participants, constrain the behaviors of the participating entities within the alliance through setting reasonable reward and punishment mechanisms, and ensure the comprehensive benefits of the cross-border e-commerce logistics alliance through the combined effect of different exogenous variables. Finally, through the analysis, verification, and explanation of the established model and methods, the effectiveness and applicability of the model and methods are confirmed, providing certain strategic support and a development reference for actively establishing cross-border e-commerce logistics alliances to promote cross-border e-commerce trade.

An Empirical Study on the Development Environment of Cross-border E-commerce Logistics in the Global Trade Context: Exploring the Digital Marketing Landscape

An Empirical Study on the Development Environment of Cross-border E-commerce Logistics in the Global Trade Context: Exploring the Digital Marketing Landscape

Innovation of Cross-Border E-Commerce Logistics Model Based on Decentralized Block Mining Model

Innovation of Cross-Border E-Commerce Logistics Model Based on Decentralized Block Mining Model

Retracted: Research on the Construction of Crossborder e-Commerce Logistics Service System Based on Machine Learning Algorithms

Retracted: Research on the Construction of Crossborder e-Commerce Logistics Service System Based on Machine Learning Algorithms