Author(s)

LingYan Sun

Affiliation(s)

Silk Road Economic Belt Core Area Industrial High-quality Development Research Center, Business School, Xinjiang Normal University, Xinjiang 830054, Urumqi, China.

Corresponding Author

LingYan Sun

ABSTRACT

This paper systematically explores the internal mechanism and practical path of China's supply chain digital transformation in enhancing the efficiency of agriculture and manufacturing. The study first dissects the core mechanism of digital technology empowering supply chains. Through comparative analysis of typical application cases, it reveals the differentiated characteristics and commonalities of digital transformation in different industries. The research further identifies practical challenges and proposes industry-specific policy recommendations. Finally, it points out future research directions, including the construction of a digital transformation maturity assessment framework and differentiated policy research, providing theoretical support and practical guidance for deepening supply chain digital transformation.

KEYWORDS

Agriculture; Manufacturing; Supply chain digitalization; Blockchain; Digital twin

CITE THIS PAPER

LingYan Sun. Supply chain transformation in the digital wave: a theoretical perspective on agriculture and manufacturing. World Journal of Economics and Business Research. 2025, 3(3): 69-75. DOI: https://doi.org/10.61784/wjebr3057.

REFERENCES

[1] Tian F. A supply chain traceability system for food safety based on HACCP, blockchain & Internet of things//2017 International conference on service systems and service management. IEEE, 2017: 1-6.

[2] Zhao N, Hong J, Lau K. Impact of supply chain digitalization on supply chain resilience and performance: A multi-mediation model. International Journal of Production Economics, 2023(259): 108817.

[3] Rijswijk Kelly, Klerkx Laurens, Bacco Manlio, et al. Digital transformation of agriculture and rural areas: A socio-cyber-physical system framework to support responsibilisation. Journal of Rural Studies, 2021, 85: 79-90.

[4] Wang J, Zhang L.  Research on the introduction strategy of blockchain traceability technology in order agricultural supply chain. Systems Engineering - Theory & Practice, 2024, 44(2): 612–628.

[5] Kamble SS, Gunasekaran A, Parekh H, et al. Digital twin for sustainable manufacturing supply chains: Current trends, future perspectives, and an implementation framework. Technological Forecasting and Social Change, 2022, 176: 121448.

[6] YadavS, Garg D, Luthra S. Analysing challenges for internet of things adoption in agriculture supply chain management. International Journal of Industrial and Systems Engineering, 2020, 36(1): 73-97.

[7] Büyükozkan Gülcin, Fethullah Gocer. Digital Supply Chain: Literature review and a proposed framework for future research. Computers in industry, 2018, 97: 157-177.

[8] Wang G, Gunasekaran A, Ngai EW, et al. Big data analytics in logisticsand supply chain management: certain investigations for research and applications”, International Journal of Production Economics, 2016, 176:  98-110.

[9] Ageron Blandine, Omar Bentahar, Angappa Gunasekaran. Digital supply chain: challenges and future directions. Supply chain forum: An international journal, 2020, 21(3).

[10] W M Samanthi Kumari Weerabahu, Premaratne Samaranayake, Dilupa Nakandala, et al. Digital supply chain research trends: a systematic review and a maturity model for adoption. Benchmarking: An International Journal 2023, 30(9): 3040-3066.

[11] Caro Miguel Pincheira, Ali Muhammad Salek, Hurriyet Massimo Vecchio Hilal, et al. Blockchain-based traceability in Agri-Food supply chain management: A practical implementation. 2018 IoT Vertical and Topical Summit on Agriculture-Tuscany (IOT Tuscany). IEEE, 2018.

[12] Kittipanya-Ngam P, Tan K H. A framework for food supply chain digitalization: lessons from Thailand. Production Planning & Control, 2020, 31(2-3): 158-172.

[13] Tao F, Qi Q, Wang L, et al. Digital twins and cyber–physical systems toward smart manufacturing and industry 4.0: Correlation and comparison. Engineering, 2019, 5(4): 653-661.

[14] Zhao X, Lu N, Li M. Digital transformation of agricultural product supply chains: Theoretical framework and implementation pathways. Social Sciences in Yunnan, 2022(6): 59–67.

[15] Feng T Z, Guan Z Y, Dang X X. Research on the impact of supply chain digitalization on high-quality development of manufacturing industry. Journal of Xi'an University of Finance and Economics, 2025, 38(3): 25-37. DOI: 10.19331/j.cnki.jxufe.2025.03.001.

[16] Lin X B, Song L Y. Research on the construction of intelligent agricultural supply chain.China Logistics & Purchasing, 2018(18): 56-57. DOI: 10.16079/j.cnki.issn1671-6663.2018.18.014.

[17] Li X. Research on working capital management in the context of supply chain digitalization: A case study of Haier Smart Home. Modern Marketing, 2025, 21: 46–48. DOI: 10.19921/j.cnki.1009-2994.2025-21-0046-016.

[18] Ding D. Case study on the value co-creation mechanism of Haier COSMOPlat industrial internet platform. Modern Marketing, 2024(3): 1–3. DOI: 10.19932/j.cnki.22-1256/F.2024.01.001.

[19] Hammi B, Zeadally S, Nebhen J. Security threats, countermeasures, and challenges of digital supply chains. ACM Computing Surveys, 2023, 55(14s): 1-40.