Development Problems and Countermeasures of Rural E-Commerce Logistics in the Context of Big Data and Internet of Things


Xianfeng Zhu, Journal of Information Processing Systems Vol. 19, No. 2, pp. 267-274, Apr. 2023  

10.3745/JIPS.04.0273
Keywords: Big data, e-Commerce, Internet of Things, logistics, Rural Areas
Fulltext:

Abstract

As the Internet has expanded and the continuous expansion of online shopping in China, many rural areas also have sales outlets. Due to the impact of economic conditions, rural locations have inadequate e-commerce logistical infrastructure, the number of outlets is small, and each other is in a decentralized state. For various reasons, the advancement of rural e-commerce logistics lags far behind that in urban areas. As the Internet of Things with big data grow in popularity, we can create and enhance the assurance system for the booming ecommerce in rural areas by building the support system of rural online shopping platform, and strengthening the joint distribution of logistics terminals based on data mining, so as to encourage the quick and healthy growth of rural online shopping.


Statistics
Show / Hide Statistics

Statistics (Cumulative Counts from November 1st, 2017)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.




Cite this article
[APA Style]
Xianfeng Zhu (2023). Development Problems and Countermeasures of Rural E-Commerce Logistics in the Context of Big Data and Internet of Things. Journal of Information Processing Systems, 19(2), 267-274. DOI: 10.3745/JIPS.04.0273.

[IEEE Style]
X. Zhu, "Development Problems and Countermeasures of Rural E-Commerce Logistics in the Context of Big Data and Internet of Things," Journal of Information Processing Systems, vol. 19, no. 2, pp. 267-274, 2023. DOI: 10.3745/JIPS.04.0273.

[ACM Style]
Xianfeng Zhu. 2023. Development Problems and Countermeasures of Rural E-Commerce Logistics in the Context of Big Data and Internet of Things. Journal of Information Processing Systems, 19, 2, (2023), 267-274. DOI: 10.3745/JIPS.04.0273.