Enterprise E-Commerce Marketing System Based on Big Data Methods of Maintaining Social Relations in the Process of E-Commerce Environmental Commodity

Gui-he, HE

doi:10.4018/joeuc.20211101.oa16

Cited by 45 publications

(35 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The concept of supply chain finance (SCF) was first proposed in the field of logistics finance. It refers to a financial financing service provided for upstream and downstream small- and medium-sized enterprises in a specific supply chain of an industry [ 12 – 14 ]. Through the joint cooperation of financial capital and the real economy, it improves resource utilization, reduces inventory, reduces financing costs, and jointly creates a benign economic ecology in which financial institutions, real enterprises, and logistics enterprises coexist and benefit from each other.…”

Section: The Coordinated Development Methods Of Supply Chain Financementioning

confidence: 99%

Operation Optimization of Supply Chain Financial System Based on System Dynamics

Yi-tian

2022

Computational Intelligence and Neuroscience

View full text Add to dashboard Cite

Supply chain finance solves the problem of financing difficulties for small- and medium-sized enterprises, reduces the risk of financial services of financial institutions, and brings new profit growth points to logistics enterprises. Therefore, supply chain financing has achieved rapid growth in a short period of time in China. This paper aims to study how to analyze and study the collaborative development of supply chain finance based on system dynamics. This paper puts forward the problem of system operation optimization, which is based on system dynamics, then elaborates on the concepts of SD and SCF, and designs and analyzes a case of a supply chain financial system based on system dynamics. The experimental results show that increasing the “bank input” from 0.1 to 2 can bring considerable economic benefits in the long run. As far as the simulation results are concerned, the promotion effect on the supply chain is the most significant. The output value of the supply chain can be increased from 2,963.04 billion yuan to 4,211.73 billion yuan, an increase of 42.14%. The simulation results showed that the financial industry has a significant positive effect on the factor of supply chain support, which provides evidence support for further guiding practice.

show abstract

Section: The Coordinated Development Methods Of Supply Chain Financementioning

confidence: 99%

Operation Optimization of Supply Chain Financial System Based on System Dynamics

Yi-tian

2022

Computational Intelligence and Neuroscience

View full text Add to dashboard Cite

show abstract

“…erefore, people very much hope to analyze this geographical information accurately, effectively, and reasonably and use the results of these analyses effectively and reasonably through a certain scientific method. Under this urgent market demand, new technologies such as data mining have emerged [23,24]. Data mining related technology research involves many specialized disciplines and professional fields.…”

Section: E Concept Of Data Miningmentioning

confidence: 99%

Application of Data Mining Technology in Enterprise Digital Human Resource Management

2022

Security and Communication Networks

View full text Add to dashboard Cite

The purpose of this paper is to explore the practical application of big data comprehensive mining and analysis technology in the overall human resource management work of the entire enterprise under the gradual increase in the amount of enterprise data, so as to effectively improve the overall core strategic competitiveness of the entire enterprise and improve the overall human resource management level of the entire enterprise. This article adopts the risk management theory of quantifying the characteristics of business management data, analyzes various management models in modern human resource information system management, and analyzes the entire process of modern enterprise daily operation and various types of human resource system risk management and business data. Combined with quantitative management theory, it introduces the basic concepts of business data feature mining system theory and its most common six data analysis and calculation methods. The module design examples are organically combined, and the traditional data mining analysis theory and its application are extended to the enterprise human resource project management information system. Finally, the experimental results show that the use of big data mining and analysis technology can solve the problems of human resource quality management in small- and medium-sized enterprises. The independent quantitative data mining analysis model has achieved 25% improvement in the application effect of the analysis of the types of human resources in management enterprises, the prevention of internal talent loss in management enterprises, and the performance evaluation management system of enterprises.

show abstract

“…In irrational consumer behavior, consumers' emotions are considered uncontrollable. e literature [6] has great consistency in the definition of irrational consumption behaviors and believes that irrational consumption behaviors are purposeless and strongly impulsive. Literature [7] believes that individuals who make irrational consumer behaviors have a certain degree of vanity, and they want to highlight their own identity and status through their consumption power.…”

Section: Related Workmentioning

confidence: 99%

Model Construction of Hierarchical Polarization Characteristics Combined with Social E-Commerce Consumer Behavior

Zhang

Yang

2022

Security and Communication Networks

View full text Add to dashboard Cite

In order to analyze the consumer behavior of social e-commerce, this article attempts to explore the irrational consumer behavior factors that affect the audience in the live broadcast of e-commerce Internet celebrities. This paper predicts and analyzes the consumption behavior of social e-commerce and combines the characteristics of hierarchical planning to intelligently process the system to improve the effectiveness of the system. Moreover, this paper constructs a social e-commerce consumer behavior prediction model based on hierarchical polarization characteristics, researches and analyzes multiple factors and performance, and builds an intelligent simulation model. The analysis of the test results shows that the social e-commerce consumer behavior prediction model based on the hierarchical polarization characteristics proposed in this article is effective and can play an important role in the prediction of social consumer behavior.

show abstract

Enterprise E-Commerce Marketing System Based on Big Data Methods of Maintaining Social Relations in the Process of E-Commerce Environmental Commodity

Cited by 45 publications

References 19 publications

Operation Optimization of Supply Chain Financial System Based on System Dynamics

Operation Optimization of Supply Chain Financial System Based on System Dynamics

Application of Data Mining Technology in Enterprise Digital Human Resource Management

Model Construction of Hierarchical Polarization Characteristics Combined with Social E-Commerce Consumer Behavior

Contact Info

Product

Resources

About