The Value Creation Mechanism of Logistics Finance under Artificial Intelligence Empowerment— Theoretical Analysis and Empirical Test Based on Big Data Models

DOI

10.2991/978-94-6239-830-6_18How to use a DOI?

Keywords

Artificial Intelligence; Logistics Finance; Big Data Model; Regression Analysis Model

Abstract

China’s logistics sector is dominated by micro, small, and medium-sized enterprises, the vast majority of which struggle to access financing due to their asset-light structures. Traditional logistics finance, constrained by information asymmetry and reliance on manual review, has been unable to meet the sector’s financing needs, making artificial intelligence an increasingly critical pathway for addressing these structural difficulties. Drawing on digital value creation theory, information asymmetry theory, and the theory of industrial organisation and the division of labour, this study focuses on the internal mechanism through which AI, via data and algorithms, generates quantifiable economic value. It traces a four-stage closed-loop transmission logic — data collection, algorithmic processing, business transformation, and value increment — and constructs a unified, hierarchically structured quantitative model across three dimensions: financing service optimisation, risk control enhancement, and process efficiency improvement, with the operational linkages between sub-models clarified. An empirical test on 100 logistics enterprises, employing correlation analysis, regression analysis, and model error testing, reveals that AI algorithm accuracy and big data quality are the core drivers of value creation, significantly raising value increments while lowering default probabilities. The proposed layered big data model substantially outperforms traditional models in both goodness of fit and predictive accuracy, effectively estimates value output across enterprises of different sizes, and achieves an overall accuracy of 88.9%, demonstrating strong feasibility and practical applicability.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Mingxuan Shi
AU  - Xinglin Jia
PY  - 2026
DA  - 2026/11/14
TI  - The Value Creation Mechanism of Logistics Finance under Artificial Intelligence Empowerment— Theoretical Analysis and Empirical Test Based on Big Data Models
BT  - Proceedings of the 6th International Conference on Internet Finance and Digital Economy (ICIFDE 2026)
PB  - Atlantis Press
SP  - 216
EP  - 231
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6239-830-6_18
DO  - 10.2991/978-94-6239-830-6_18
ID  - Shi2026
ER  -