STEMM Institute Press
Science, Technology, Engineering, Management and Medicine
Research on the Innovation Path of Live Supply Chain of Agricultural Products under Digital Economy
DOI: https://doi.org/10.62517/jnme.202410201
Author(s)
Yangyang Liu, Yupeng Hu, Zhihao Zhang
Affiliation(s)
Shandong Management University, Shandong Railway Investment Holding Group Co, Ltd, Jinan, Shandong, China
Abstract
With the hot growth of live broadcasting, the quality of agricultural products is also endless, how to promote the healthy development of live broadcasting of agricultural products through supply chain innovation has become the key. In this paper, on the basis of analyzing the current three modes of live broadcasting of agricultural products, live broadcasting of origin and live broadcasting of enterprises, we summarizing the problems of difficult operation of logistics, unstable quality and sluggish supply chain that exist in the live broadcast supply chain. This paper proposes to adopt digital technology to build a unified data resource base and promote collaborative innovation of supply chain network in order to realize multilevel supply chain integration.
Keywords
Digital Economy; Agricultural Products; Live Supply Chain; Innovation Path Introductory
References
[1] Hua Yongjian, Research on the reverse supply chain model of "agricultural products + direct broadcasting". Price Theory and Practice, 2020, no. 7:129. [2] Xie, Dengming. He Biao. Yang Xuan, Multi-subject Behavioral Logic and Poverty Alleviation Effect of "Live Streaming + Consumption Poverty Alleviation" Mode. New Media Research, 2020-01-10: 126. [3] Zan Mengying. Wang Zhenbing, Agricultural products e-commerce live broadcasting: a new mode of e-commerce poverty alleviation. Agricultural Economic Issues, 2020, no. 11: 82. [4] Jiang Huifang, Analysis of the current development of live e-commerce. National Circulation Economy, 2020-08-08: 9-10. [5] Jingyang Zhang, Linlin Zheng, Xiaoyun Xu. Impact of precision marketing on brand co-creation value in the context of big data. Business and Economic Research, 2022, (09): 60-63. [6] XU Dongyin, CHEN Huiqin. Construction of Jiangsu "Internet+supervision" big data platform under the background of digital village strategy. Jiangsu Agricultural Science, 2022, 50 (22): 259-264. [7] Cheng Dong. Wang Zhenshan. Sun YB, The nature of live streaming with goods: disruptive innovation or expansion of traditional e-commerce model. Business and Economic Research, 2020-03-08: 89. [8] LIU Zongyuan, LUO Wenping, ZHANG Mengying et al. Value creation path and realization framework of e-commerce logistics platform eco-cooperation--Taking Cainiao Network as an example. Management Case Study and Review, 2021, 14 (01): 88. [9] Tong Lu, Pan J,. Wang Guili. How the reverse customization model promotes consumption upgrading: a case study based on Jingdong Digital Intelligence supply chain. Consumer Economics, 2023 Vol. 39, No. 4: 70-71.
Copyright @ 2020-2035 STEMM Institute Press All Rights Reserved