Paper
13 December 2021 Influencing factors identification of cross-border E-commerce capability based on the RBF-DEMATEL model
Yong-ming Li, Haohao Song, Ying Wang, Hashim Zameer
Author Affiliations +
Proceedings Volume 12087, International Conference on Electronic Information Engineering and Computer Technology (EIECT 2021); 1208721 (2021) https://doi.org/10.1117/12.2624874
Event: International Conference on Electronic Information Engineering and Computer Technology (EIECT 2021), 2021, Kunming, China
Abstract
The existing knowledge could not portray the interrelation among the factors affecting cross-border e-commerce capability, the objective of this study is to explore the interrelation between the influencing factors of cross-border e-commerce capability using the RBF-DEMATEL model. Firstly, this paper constructs an index system about the capability of cross-border e-commerce based on the TOE (technology-organization-environment) theory, and then use RBF neural network to calculate the weights between the target index and the influencing factor index to get the direct correlation matrix to identify the influencing factors of cross-border e-commerce capabilities based on the traditional DEMATEL method. The study employs empirical data of 249 enterprises, it shows that international marketing situation, international e-commerce logistics technology, and support conditions of international electronic payment are the three most important three aspects of the cross-border e-commerce capability of enterprises. The result indicates that this method is reliable and effective. The study provides theoretical support for improving the capability of cross-border e-commerce. In addition, this paper opens new horizons for future research in similar areas
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yong-ming Li, Haohao Song, Ying Wang, and Hashim Zameer "Influencing factors identification of cross-border E-commerce capability based on the RBF-DEMATEL model", Proc. SPIE 12087, International Conference on Electronic Information Engineering and Computer Technology (EIECT 2021), 1208721 (13 December 2021); https://doi.org/10.1117/12.2624874
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KEYWORDS
Neural networks

Legal

Manufacturing

Information technology

Analytical research

Evolutionary algorithms

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