Research on control of influencing factors of quality and safety of agricultural products on B2C e-commerce platform
DOI:
https://doi.org/10.54097/2b3s2973Keywords:
agricultural products, B2C e-commerce platforms, factor analysis.Abstract
In recent years, the quality and safety issues of agricultural products on B2C e-commerce platforms in China have become a new threat and concern, drawing widespread attention from the government and the public. This article aims to conduct an in-depth study on the factors influencing the quality and safety of agricultural products sold on B2C e-commerce platforms. First, various indicators are selected to construct a comprehensive indicator system for the factors affecting the quality and safety of agricultural products on B2C e-commerce platforms. Subsequently, factor analysis is applied to the 18 selected indicators using SPSS statistical software to derive a model for the influencing factors of quality and safety for agricultural products on B2C e-commerce platforms. Finally, based on the empirical analysis results, a comprehensive examination is conducted to assess the impact of each factor on the quality and safety of agricultural products on B2C e-commerce platforms. The empirical results indicate that the four major influencing factors, namely, production source, processing and manufacturing, warehousing and transportation, and regulatory measures, all play crucial roles in influencing the quality and safety of agricultural products on B2C e-commerce platforms.
Downloads
References
Cristobal-Fransi E, Montegut-Salla Y, and Daries N, “Rural cooperatives in the digital age: An analysis of the Internet presence and degree of maturity of agrifood cooperatives’s e-commerce,” Journal of Rural Studies, vol. 20, no. 30, pp. 55-66, 2020.
Ashokkumar K, Reddy J B, and Babu S A, “Agriculture E-Commerce for Increasing Revenue of Farmers Using Cloud and Web Technologies,” Journal of Computational and Theoretical Nanoscience, vol. 16, no. 8, pp. 3187-3191, 2019.
Widodo K H, Nagasawa H, and Morizawa K, et al, “A periodical flowering-harvesting model for delivering agricultural fresh products,” European Journal of Operational Research, vol. 170, no. 1, pp. 24-43, 2021.
L. Lei, J. Wu, and S. Li, “Prediction and analysis of cold chain logistics demand for agricultural products in Guiyang under the background of COVID-19,” Hubei Agricultural Sciences, vol. 61, no. 18, pp. 191-195, 2022.
Z. Wu, X. Yang, and F. Li, “Monitoring and early warning system of fresh agricultural products distribution based on big data,” Automation and Instrumentation, no. 7, pp. 166-169, 2022.
W. Wang, and J. Xu, “Practice and reflection on the improvement of agricultural food safety guarantee level through the construction of inspection and testing capacity,” Contemporary Agricultural Machinery, no. 10, pp. 70-72, 2022.
Leroux N, Max S, and Eric D, “Dominant factors impacting the development of business-to-businesss e-commerce in agriculture,” International Food and Agribusiness Management Review, vol. 4, no. 2, pp. 205-218.
Maldonado-Siman E, “Comparison of implementing HACCP systems of exporter Mexican and Chinese meat enterprises,” Food Control, no. 38, pp. 109-115, 2020.
Urban K L , Scheller F , and Bruckner T, “Suitability assessment of models in the industrial energy system design,” Renewable and Sustainable Energy Reviews, vol. 137, pp. 110400-110402, 2021.
Kamrowska-Zauska D , “Impact of AI-Based Tools and Urban Big Data Analytics on the Design and Planning of Cities,” Land, vol. 10, pp. 101-103, 2021.
L. Deng, “Analysis on the application and strategy of sponge city concept in landscape architecture planning,” Smart Cities, vol. 6, no. 5, pp. 143-144, 2020.
D. Meng, “Artificial neural network technology and its application,” Electronic Technology & Software Engineering, vol. 23, pp. 16-18, 2016.
R. Fang, J. Wang, and Y. Yao, et al, “Computational feature modeling method of multilayer neural network algorithm,” Journal of Computer Research and Development, vol. 56, no. 6, pp. 1170-1181, 2019.
J. Shi, “Sponge city theory and its application in landscape architecture planning,” City & House, vol. 27, no. 9, pp. 141-142, 2020.
Agarwal R, and Venkatesh V, “Assessing a firm’s web presence: a heuristic evaluation procedure for the measurement of usablility,” Information Systems Research, vol. 13, no. 2, pp. 168-186, 2020.
Z. Su, “Discussion on food safety supervision of agricultural products in the era of e-commerce,” Food Safety Guide, vol. 347, no. 18, pp. 24-26, 2022.
Z. Wu, F. Li, and Q. Liu, “Monitoring and early warning system of fresh agricultural products distribution based on big data,” Automation and Instrumentation, no. 7, pp. 166-169, 2022.
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Highlights in Science, Engineering and Technology

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.







