Author(s)

Jiayi Ge ¹

Affiliation(s)

¹ Renmin University of China, Beijing, 100872, China

Corresponding Author

Jiayi Ge

ABSTRACT

In the context of the digital transformation of the global economy, the efficiency and response speed of supply chain management have become an important factor in the competitiveness of enterprises. However, in the process of promoting the digitalization of supply chain, enterprises are still facing multiple challenges, such as technical cooperation, data security and organizational structure adjustment. This paper analyzes the concept of digital supply chain and the similarities and differences between digital supply chain and smart supply chain. Finally, this paper puts forward the innovation path of supply chain digital collaboration based on consumer demand-driven from the aspects of strengthening the ability to resist risks, improving the data collaborative processing mechanism, and absorbing scientific and technological innovation.

KEYWORDS

Consumer Demand Driven, Digital Collaboration, Supply Chain

CITE THIS PAPER

Jiayi Ge, Study on a New Path for Digital Collaboration of Supply Chain. Industrial Engineering and Innovation Management (2024) Vol. 7: 1-5. DOI: http://dx.doi.org/10.23977/ieim.2024.070401.

REFERENCES

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[2] Akhavan P , Philsoophian M .Improving of Supply Chain Collaboration and Performance by Using Block Chain Technology as a Mediating Role and Resilience as a Moderating Variable[J].Journal of the Knowledge Economy, 2022:1-22.DOI:10.1007/s13132-022-01085-9.
[3] Nayal K, Raut R D, Yadav V S, et al: The impact of sustainable development strategy on sustainable supply chain firm performance in the digital transformation era, Business Strategy and the Environment, Vol. 31 (2022) No.3: 845-859.
[4] Ishfaq R, Davis‐Sramek B, Gibson B: Digital supply chains in omnichannel retail: A conceptual framework, Journal of Business Logistics, Vol. 43(2022) No.2: 169-188.
[5] Adama H E, Popoola O A, Okeke C D, et al: Economic theory and practical impacts of digital transformation in supply chain optimization, International Journal of Advanced Economics, Vol. 6 (2024) No.4: 95-107.

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