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The development strategy of supply chain intelligent technology considering technology development uncertainty

Peng Han, Yanfang Huo, Weihua Liu, Ershi Qi and Helen Cai

European Journal of Operational Research, 2026, vol. 328, issue 2, 496-510

Abstract: It’s crucial for both manufacturing and logistics industries to improve logistics efficiency and reduce logistics loss during transportation, storage, and other processes through the development and application of intelligent technology. By focusing on three potential modes of intelligent technology development cooperation between a manufacturer and its logistics provider, we examine the impact of such collaboration on reducing Logistics loss, as well as explore the optimal mode of cooperation for both firms. Our analytical results indicate that compared to independent technology development, collaborative development of intelligent technology can mitigate the adverse effects of double-marginalization. Comparing the three modes of cooperation, we find that higher development cost can incentivize the collaboration between two firms, while higher integration cost and price elasticity may make the cost sharing mode preferable. It is noteworthy that the uncertainty of intelligent technology development exerts a significant moderating effect on the choice of cooperation mode. Heightened technology development uncertainty tends to incentivize both firms to pursue joint development in order to alleviate the negative impact of the uncertainty.

Keywords: Intelligent technology development; Cooperation mode; Technology development uncertainty (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:328:y:2026:i:2:p:496-510

DOI: 10.1016/j.ejor.2025.07.026

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European Journal of Operational Research is currently edited by Roman Slowinski, Jesus Artalejo, Jean-Charles. Billaut, Robert Dyson and Lorenzo Peccati

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