Welcome to Scholar Publishing Group

Academic Journal of Agricultural Sciences, 2023, 4(1); doi: 10.38007/AJAS.2023.040108.

Influencing Factors of Soybean E-commerce Management from the Perspective of Supply Chain Cloud


Manoj Zeinali

Corresponding Author:
Manoj Zeinali

Tennessee State University, USA


Because Chinese enterprises are greatly affected by the "big and all" and "small and all" ideas, they are far from the open global manufacturing and supply chain management model and cannot meet the requirements of supply chain management. From the traditional management model to the supply chain management model soon.Based on the above background, the research content of this article is the influencing factors of soybean e-commerce management from the perspective of the supply chain cloud. This article explores this in the form of questionnaire surveys and management influencing factors analysis, in order to play a role of attracting a lot of attention to China's soybean processing enterprises. Inspiration. This article first analyzes the current problems faced by Harcotech soybean processing supply chain management. Based on the understanding of the soybean industry chain, an e-commerce management model for the soybean processing supply chain was constructed. Finally, experimental simulations proved that only GFI = 0.873, AGFI = 0.839, and NFI = 0.889 in the statistical inspection indicators did not meet the ideal standards, but were also greater than 0.8. The acceptable level is close to the 0.9 standard, and other fitting indicators have reached the ideal standard. The scale passed the validity test and the model was acceptable.


Supply Chain, Cloud Perspective, Soybean Processing, E-commerce Management, Influencing Factors

Cite This Paper

Manoj Zeinali. Influencing Factors of Soybean E-commerce Management from the Perspective of Supply Chain Cloud. Academic Journal of Agricultural Sciences (2023), Vol. 4, Issue 1: 97-107. https://doi.org/10.38007/AJAS.2023.040108.


[1] Turkulainen V , Swink M L .(2017). “Supply Chain Personnel as Knowledge Resources for Innovation A Contingency View”, Journal of Supply Chain Management, 53(3),pp.41-59.

[2] Baoguo S .(2016). “Development Strategy of Agricultural Products Processing in China”, Strategic Study of Chinese Academy of Engineering, 18(1),pp.48-55.

[3] Evanschitzky H , Goergen M .(2018). “Looking Forward, Looking Back: British Journal of Management 2000-2015: Looking Forward, Looking Back”, British Journal of Management, 29(1),pp.3-9.

[4] Minai Y , Miura T , Yonezawa C .(2016). “Certified reference Materials of Agricultural Products and Foods Bearing Radioactivity from the Fukushima Nuclear Accident”, Journal of Radioanalytical & Nuclear Chemistry, 8(2),pp.167-177.

[5] Zhang H , Qiu B , Zhang K .(2017). “A New Risk Assessment Model for Agricultural Products Cold Chain Logistics”, Industrial Management & Data Systems, 117(9),pp.1800-1816.

[6] Ertekin C , Firat M Z .(2017). “A Comprehensive Review of Thin-layer Drying Models Used in Agricultural Products”, C R C Critical Reviews in Food Technology,57(4),pp.701-717.

[7] Szpyrka E , Magdalena Słowik-Borowiec, Matyaszek A .(2016). “Pesticide Residues in Raw Agricultural Products from the South-eastern Region of Poland and the Acute Risk Assessment”, Roczniki Państwowego Zakładu Higieny, 67(3),pp.237-245.

[8] Zayats M F , Leschev S M .(2018). “A Distribution Chromatography Method for the Identification of Pesticides in Their Mixtures and Agricultural Products”, Journal of Analytical Chemistry, 73(5),pp.486-496.

[9] Humair F , Humair L , Kuhn F .(2016). “E-commerce trade in invasive plants”, Conservation Biology, 29(6),pp.1658-1665.

[10] Wang D , Zha Y , Bi G .(2018). “A Meta-analysis of Satisfaction-Loyalty Relationship in E-Commerce: Sample and Measurement Characteristics as Moderators”, Wireless Personal Communications, 103(1),pp.941-962.