Research on the operation mode of enterprise supply chain management under the background of digital economy

In the context of the rapid rise of the digital economy, my country's enterprise supply chain management is facing an unprecedented challenge of change. With the rapid progress of digital technology and its wide application field expansion, the Internet of Things technology, artificial intelligence research hotspots, and big data analysis technology frontiers, the structure and operation mode of the supply chain have entered a new stage of comprehensive reconstruction, which has greatly promoted the improvement of work efficiency and information transparency. New problems are emerging in an endless stream, especially in the fields of information asymmetry, supply chain collaborative operation and risk control. The existence of asymmetric information may induce misjudgment in the decision-making process, slow down the response speed and adaptability of the supply chain to market changes; the low efficiency of supply chain collaboration directly leads to the rise of operating costs, which has a significant effect on the overall operating efficiency; if there are defects in enterprise risk management, it may face a significant high risk exposure to emergencies. These problems have a significant restrictive effect on the optimization of supply chain management and the improvement of enterprise competitiveness. The focus of this study is to deeply explore the cultural connotations of these problems, and then form corresponding response methods to promote enterprises to achieve optimization and upgrading of supply chain management in the context of digital economy, and continuously optimize and consolidate their competitive strength in market competition.

Publication Details

Journal
Academic Journal of Business & Management
Published
2025-01-01
DOI
https://doi.org/10.25236/ajbm.2025.070324
Primary Topic
Economic and Technological Systems Analysis
Type
article
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Research on the operation mode of enterprise supply chain management under the background of digital economy

Academic Journal of Business & Management
Economic and Technological Systems Analysis
article

Research on the operation mode of enterprise supply chain management under the background of digital economy

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Abstract

In the context of the rapid rise of the digital economy, my country's enterprise supply chain management is facing an unprecedented challenge of change. With the rapid progress of digital technology and its wide application field expansion, the Internet of Things technology, artificial intelligence research hotspots, and big data analysis technology frontiers, the structure and operation mode of the supply chain have entered a new stage of comprehensive reconstruction, which has greatly promoted the improvement of work efficiency and information transparency. New problems are emerging in an endless stream, especially in the fields of information asymmetry, supply chain collaborative operation and risk control. The existence of asymmetric information may induce misjudgment in the decision-making process, slow down the response speed and adaptability of the supply chain to market changes; the low efficiency of supply chain collaboration directly leads to the rise of operating costs, which has a significant effect on the overall operating efficiency; if there are defects in enterprise risk management, it may face a significant high risk exposure to emergencies. These problems have a significant restrictive effect on the optimization of supply chain management and the improvement of enterprise competitiveness. The focus of this study is to deeply explore the cultural connotations of these problems, and then form corresponding response methods to promote enterprises to achieve optimization and upgrading of supply chain management in the context of digital economy, and continuously optimize and consolidate their competitive strength in market competition.

Academic Journal of Business & ManagementVol. 7(3)
Decent work and economic growth
Openalex Percentile: Top 86%
Economic and Technological Systems Analysis
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