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Research on Key Influencing Factors of Comprehensive Logistics Service Capabilities in the Smart Logistics Environment

Huawei Ding

Journal of Cases on Information Technology2026https://doi.org/10.4018/jcit.398366article
ABDC C
Weight
0.50

What the paper says

This study investigates the key factors influencing comprehensive logistics service capabilities in the context of smart logistics. The purpose is to illuminate how elements like technology, resources, management, and environment affect service performance amid the Internet of Things, big data, and artificial intelligence integration. A conceptual model is developed and tested using data from 300 Chinese logistics firms. Empirical analysis confirms that factors such as information technology application, logistics infrastructure, human resources, supply chain collaboration, and market demand significantly impact comprehensive logistics service capabilities, with technology and collaboration being most influential. The findings suggest that logistics companies should focus on technological innovation and strategic partnerships to enhance service capabilities. This research provides practical guidance for industry optimization and advances the theoretical understanding of logistics service development in smart logistics environments.

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https://doi.org/https://doi.org/10.4018/jcit.398366

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@article{huawei2026,
  title        = {{Research on Key Influencing Factors of Comprehensive Logistics Service Capabilities in the Smart Logistics Environment}},
  author       = {Huawei Ding},
  journal      = {Journal of Cases on Information Technology},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.4018/jcit.398366},
}

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Research on Key Influencing Factors of Comprehensive Logistics Service Capabilities in the Smart Logistics Environment

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.