The Marketing of Cross-border E-commerce Enterprises in Foreign Trade Based on the Statistics of Mathematical Probability Theory

Guo, Zhao

doi:10.2478/amns.2022.2.00009

Cited by 3 publications

(1 citation statement)

References 9 publications

(9 reference statements)

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“…the corresponding ability of the cross-border logistics supply chain (CBL-SC). At the same time, there is a need to reduce the cost of CBEC Logistics and management and improve service satisfaction to raise revenue [11]. ere are mainly three logistics operation modes in CBEC: Postal Small Parcel, Four International Express, and International Special line.…”

Section: Comparative Analysis Of Traditional Mode and Cross-border Mo...mentioning

confidence: 99%

Exploration on the Construction of Cross-Border E-Commerce Logistics System Using Deep Learning

Wang¹

2022

Mathematical Problems in Engineering

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The intention of this article is to solve the disadvantages of the current logistics model and promote the healthy development of modern cross-border e-commerce (CBEC) Logistics. First, this paper expounds on and compares the traditional and CBEC logistics models. Then, the CBEC logistics system is constructed and adjusted according to system construction requirements. Further, two key subsystems are designed: the logistics object distribution subsystem and risk detection subsystem, based on the deep learning backpropagation neural network (BPNN) algorithm. The relevant parameters of the object distribution subsystem are calculated and sent to the risk detection subsystem model and tested. It is concluded that the sorting completion rate before 18:00 can reach 95.2%, indicating that the proposed CBEC logistic system can meet the needs of CBEC logistics enterprises. Logistics risk detection’s expected and actual outputs can fit 99%, indicating a tiny deviation. The research has certain reference significance for clarifying the logistics system and service mode of CBEC.

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Section: Comparative Analysis Of Traditional Mode and Cross-border Mo...mentioning

confidence: 99%

Exploration on the Construction of Cross-Border E-Commerce Logistics System Using Deep Learning

Wang¹

2022

Mathematical Problems in Engineering

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The Digital Intelligent Cultivation of Cross-border E-commerce Talents based on the Benchmark Regression Model

Wang

2024

SHS Web Conf.

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With the expansion of the popularity of digital intelligent, cross-border e-commerce talent training process is affected by many factors. The influence of these factors on the training of cross-border ecommerce talents under the digital intelligent enabling system is sustainable and complex. In order to clarify the influencing process of relevant factors, we conducted research by literature review, correlation test, common method bias test and benchmark regression method. The results are as follows: (1) Students’ autonomous online learning efficiency, teachers’ classroom digital intelligent teaching ability, digital intelligent teaching scenarios, and digital intelligent teaching management level are all important factors that sustainably affect the training of cross-border e-commerce talents. (2) The positive development of these influencing factors could sustainably promote the improvement of cross-border e-commerce talent training quality. (3) The degree of sustainability impact on the quality of cross-border e-commerce talent training, in order from strong to weak, is digital intelligent teaching scenario, students’ autonomous online learning efficiency, teachers’ classroom digital intelligent teaching ability, digital intelligent teaching management level.

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Adoption and Applications of Blockchain Technology in Marketing: A Retrospective Overview and Bibliometric Analysis

et al. 2023

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Blockchain technology has disrupted the traditional approaches of marketing and introduced altogether contemporary marketing frameworks using its unique capabilities of decentralization, security and transparency. In recent times, this technology has attracted both academicians and practitioners to study the underlying processes and opportunities of the application of blockchain technology in marketing. Although there is an increasing deliberation in researching the use of blockchain in marketing, there exists an intermittent gap in holistic overview of the current trends and future boundaries. This article is an attempt to present a comprehensive current state and prospects of expansion in the research of the application of blockchain technology in marketing using state of the art bibliometric review analysis. The bibliometric analysis using 161 articles from Scopus database revealed the influential aspects of research such as prolific authors, influential documents, countries, affiliations, sources and keywords. Moreover, emerging research streams about the application of blockchain is identified and enumerated using network synthesis and visualization of co-citation, and keywords co-occurrence networks. These findings pave the ways for future research expansion. The results shows that the research on applications of blockchain technology has been maturing over time. However, the research streams reveal that blockchain based marketing framework is still in its infancy stage.

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The Marketing of Cross-border E-commerce Enterprises in Foreign Trade Based on the Statistics of Mathematical Probability Theory

Cited by 3 publications

References 9 publications

Exploration on the Construction of Cross-Border E-Commerce Logistics System Using Deep Learning

Exploration on the Construction of Cross-Border E-Commerce Logistics System Using Deep Learning

The Digital Intelligent Cultivation of Cross-border E-commerce Talents based on the Benchmark Regression Model

Adoption and Applications of Blockchain Technology in Marketing: A Retrospective Overview and Bibliometric Analysis

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