Exploring an Interactive Value-Adding Data-Driven Model of Consumer Electronics Supply Chain Based on Least Squares Support Vector Machine
Joint Authors
Wan, Xiao-le
Zhang, Zhen
Meng, Qing-chun
Rong, Xiao-Xia
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-10-10
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
The differences in supply chains and their competitiveness depend on the differences in supply chain value creation systems.
On the basis of the theory of value cocreation, this study investigates the interactive value creation of consumer electronics supply chains from the perspective of the interaction and added value created by the main value creation bodies in supply chains.
Least squares support vector machine (LS-SVM) is innovatively introduced into the study on consumer electronics supply chains.
A data-driven model is also established, the parameters of the method and kernel functions are optimized and selected, and an LS-SVM algorithm of consumer electronics supply chains is proposed to deal with the limited number of samples.
Then, an empirical analysis of the top 10 smartphone supply chains in the Chinese market is conducted, and the LS-SVM model and other forecasting methods are compared.
Results suggest that the LS-SVM model achieves a good predictive accuracy.
This study also analyzes the value-adding structure of supply chains from the perspective of interaction and enriches the theory of value creation among supply chains.
This study is conducive to helping consumer electronics enterprises to conduct market analyses and determine value growth points accurately.
American Psychological Association (APA)
Wan, Xiao-le& Zhang, Zhen& Rong, Xiao-Xia& Meng, Qing-chun. 2016. Exploring an Interactive Value-Adding Data-Driven Model of Consumer Electronics Supply Chain Based on Least Squares Support Vector Machine. Scientific Programming،Vol. 2016, no. 2016, pp.1-13.
https://search.emarefa.net/detail/BIM-1118189
Modern Language Association (MLA)
Wan, Xiao-le…[et al.]. Exploring an Interactive Value-Adding Data-Driven Model of Consumer Electronics Supply Chain Based on Least Squares Support Vector Machine. Scientific Programming No. 2016 (2016), pp.1-13.
https://search.emarefa.net/detail/BIM-1118189
American Medical Association (AMA)
Wan, Xiao-le& Zhang, Zhen& Rong, Xiao-Xia& Meng, Qing-chun. Exploring an Interactive Value-Adding Data-Driven Model of Consumer Electronics Supply Chain Based on Least Squares Support Vector Machine. Scientific Programming. 2016. Vol. 2016, no. 2016, pp.1-13.
https://search.emarefa.net/detail/BIM-1118189
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1118189