Research on Innovation Strategy of Supply Chain Management of Agricultural Enterprises Under the Background of Big Data

With the rapid development and widespread application of Big Data technology, the supply chain management of agricultural products enterprises is facing unprecedented reform and challenges. This study takes the perspective of Big Data technology and collects relevant information on the application of supply chain management in 100 agricultural product enterprises through a survey questionnaire. The study found that the use of Big Data can effectively improve the accuracy of demand forecasting, inventory management efficiency, optimize logistics costs, improve supplier management efficiency, enhance the overall level of supply chain management of enterprises, and propose innovative strategies for supply chain management of agricultural products enterprises based on this. Big Data technology brings a new solution for agricultural products enterprises to enhance their supply chain management level, making the supply chain smarter and more efficient.

Authors

Institutions

Publication Details

Journal
Proceedings of Business and Economic Studies
Published
2024-09-02
DOI
https://doi.org/10.26689/pbes.v7i4.8141
Primary Topic
E-commerce and Technology Innovations
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research on Innovation Strategy of Supply Chain Management of Agricultural Enterprises Under the Background of Big Data

Guanlin Liu, Zhaoyong Ouyang
Proceedings of Business and Economic Studies
E-commerce and Technology Innovations
article

Research on Innovation Strategy of Supply Chain Management of Agricultural Enterprises Under the Background of Big Data

Guanlin Liu, Zhaoyong Ouyang
article en

Abstract

With the rapid development and widespread application of Big Data technology, the supply chain management of agricultural products enterprises is facing unprecedented reform and challenges. This study takes the perspective of Big Data technology and collects relevant information on the application of supply chain management in 100 agricultural product enterprises through a survey questionnaire. The study found that the use of Big Data can effectively improve the accuracy of demand forecasting, inventory management efficiency, optimize logistics costs, improve supplier management efficiency, enhance the overall level of supply chain management of enterprises, and propose innovative strategies for supply chain management of agricultural products enterprises based on this. Big Data technology brings a new solution for agricultural products enterprises to enhance their supply chain management level, making the supply chain smarter and more efficient.

Proceedings of Business and Economic StudiesVol. 7(4)
National University of Mongolia (MN)
Zero hunger
Openalex Percentile: Top 75%
E-commerce and Technology Innovations
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Research on Innovation Strategy of Supply Chain Management of Agricultural Enterprises Under the Background of Big Data — Guanlin Liu, Zhaoyong Ouyang · Proceedings of Business and Economic Studies (2024) | TGRS Research Map | TGRS