Information Acquisition and Its Incentives in an E-Commerce Supply Chain under the Offline Showroom Model

Li, Mengli; Zhang, Xumei

doi:10.3390/jtaer16050100

Cited by 8 publications

(5 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Wang et al solved the multi-objective constrained optimization problem of variables by introducing random forests and other methods to continuously approach the objective and constraint functions [9]. Based on the tripartite competition mechanism, Han et al proposed an improved multi-objective particle swarm optimization algorithm to effectively solve the problems of multi-objective diversity and poor convergence performance [10]. Pereira et al developed a numerical model of complex structures by proposing equi-grid multi-objective optimization with six objectives, thereby reducing the instability of such grid tubes [11].…”

Section: Related Workmentioning

confidence: 99%

Research on the Application of Multi-Objective Algorithm Based on Tag Eigenvalues in e-Commerce Supply Chain Forecasting

Huang,

Lian

2023

IJACSA

View full text Add to dashboard Cite

With the continuous development of Internet technology, the scale of Internet data is increasing day by day, and business forecasting has become more and more important in corporate business decision-making. Therefore, to improve the accuracy of Multi Target Regression in the actual e-commerce supply chain forecasting, research through the method of constructing the labeling feature for each target is optimized, the Multi-Target Regression via Sparse Integration and Label-Specific Features algorithm is obtained, and the experimental analysis is carried out on the performance of the algorithm and the application effect in the actual e-commerce supply chain. The experimental results show that the average of Relative Root Mean Square Error value of the research algorithm and is the lowest in most datasets, with a minimum of 0.058 in the effect experiments of prediction and label-specific features; in the effect and flexibility experiments of sparse sets, the lowest average of Relative Root Mean Square Error value of the research algorithm was 0.058, and the average rank value was the smallest. In addition, the average of Relative Root Mean Square Error value of the research algorithm is the smallest under the target variable of Y2 in the Enb data, and its value is 0.075. In the actual e-commerce supply chain forecast, the research algorithm has the highest score of 0.097 points. Overall, research algorithm has a better forecasting effect and higher performance, and has better practicality in practice, and can play a better effect in actual e-commerce supply chain forecasting.

show abstract

Section: Related Workmentioning

confidence: 99%

Research on the Application of Multi-Objective Algorithm Based on Tag Eigenvalues in e-Commerce Supply Chain Forecasting

Huang,

Lian

2023

IJACSA

View full text Add to dashboard Cite

show abstract

“…In order to reasonably set the simulation parameters, this paper refers to the N municipal government e-commerce logistics supply chain synergistic development of the actual situation of the model parameters are set. Each parameter assignment is shown in the table as shown in Table 3 [33]. The initial willingness of all parties is set to…”

Section: Model Parameterizationmentioning

confidence: 99%

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

Zhuang

2023

Applied Mathematics and Nonlinear Sciences

View full text Add to dashboard Cite

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.

show abstract

“…Many scholars often use the cost sharing contract [16], revenue sharing contract [15], and two-part tariff contract [33,34] to coordinate the green supply chain. Some scholars have considered other contracts in the green supply chain [35].…”

Section: Coordination Of the Green Supply Chainmentioning

confidence: 99%

Decisions and Coordination of Green Supply Chain Considering Big Data Targeted Advertising

2022

JTAER

View full text Add to dashboard Cite

The application of big data targeted advertising in the green supply chain makes the green marketing of products more accurate and effective. This paper applies game theory to study the decisions and coordination issues of a green supply chain in which the online retailer conducts big data targeted advertising. A centralized model and two Stackelberg game models (an online-retailer-led decentralized model and a manufacturer-led decentralized model) were constructed and solved. The zero wholesale price-side-payment contract and greedy wholesale price-side-payment contract were introduced into the green supply chain for coordination. The study found that: (1) the increase in demand attenuation coefficient, green sensitivity coefficient, and big data targeted advertising sensitivity coefficient will be beneficial to the growth of total consumer demand, supply chain profit, and environmental benefit; (2) supply chain coordination is necessary because greenness, demand, supply chain profit, and environmental benefit under the centralized model are higher than those under two decentralized models; (3) two contracts can achieve the coordination of the green supply chain, and the profits of the manufacturer and online retailer under the contract are greater than those under the decentralized model. The results can provide insights for promoting green supply chain operations.

show abstract

Information Acquisition and Its Incentives in an E-Commerce Supply Chain under the Offline Showroom Model

Cited by 8 publications

References 39 publications

Research on the Application of Multi-Objective Algorithm Based on Tag Eigenvalues in e-Commerce Supply Chain Forecasting

Research on the Application of Multi-Objective Algorithm Based on Tag Eigenvalues in e-Commerce Supply Chain Forecasting

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

Decisions and Coordination of Green Supply Chain Considering Big Data Targeted Advertising

Contact Info

Product

Resources

About