A textual data-driven method to measure the capabilities and core paths of different digital technologies to improve supply chain resilience

【Author】 Lei, Zhimei; Liu, Bingbing; Lim, Ming Kim; Lau, Yui-yip

【Source】INTERNATIONAL JOURNAL OF LOGISTICS-RESEARCH AND APPLICATIONS

【影响因子】5.992

【Abstract】This study expands current path research, which focuses on single digital technologies and singular types of mediating factors, by synthesising the findings from existing empirical, simulation, and textual content analyses to elucidate the multidimensional impact mechanisms of various digital technologies on SCR through a combination of static and dynamic path modelling. The results identify the most influential digital technologies and core pathways at different stages of research, revealing the dynamic evolutionary characteristics of the impact capabilities and pathways of digital technologies. Across all the research stages, blockchain technology (BCT) has the highest impact capability for improving SCR, SC disruption (NM-Dr) is the most important core negative mediating factor, and SC visibility (PM-Vis) is the most significant core positive mediating factor. The findings of this study assist supply chain managers across industries and related scholars in recognising the most suitable and potent digital technologies and the realisation path to enhance SCR.

【Keywords】Digital technologies; supply chain resilience; core paths; impact capability; systematic literature review; heterogeneous information network

【发表时间】2025 2025 JAN 3

【收录时间】2025-02-05

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