Path Analysis of Supply Chain Management Reform Driven by Data Empowerment

Ruijin Xu

2025

Abstract

Amid converging digitalization and sustainability imperatives, this study advances a conceptual framework integrating artificial intelligence (AI)-enabled analytics, supply chain centralization, and green supply chain management (GSCM) as mutually reinforcing drivers of supply chain performance. The framework posits that when synergistically combined with AI and environmental imperatives, centralized governance structures generate superior efficiency-sustainability outcomes. Empirical validation was provided through a comparative case analysis of Unilever and Hailan Home (HLA), illustrating divergent integration pathways. Unilever’s globally centralized, data-driven, and sustainability-aligned supply chain strategy contrasts HLA’s efficiency-focused model. Results demonstrate that triadic integration facilitates enhanced visibility, operational agility, and environmental performance. The findings contribute to SCM theory by aligning resource-based and dynamic capabilities perspectives with environmental strategy while offering actionable managerial insights on orchestrating digital, structural, and green initiatives. The study concludes that strategic alignment across technological, organizational, and ecological dimensions is foundational for competitive resilience in data-driven supply ecosystems.

Paper Citation

in Harvard Style

Xu R. (2025). Path Analysis of Supply Chain Management Reform Driven by Data Empowerment. In Proceedings of the 2nd International Conference on E-commerce and Modern Logistics - Volume 1: ICEML; ISBN 978-989-758-775-7, SciTePress, pages 270-276. DOI: 10.5220/0013842600004719

in Bibtex Style

@conference{iceml25,
author={Ruijin Xu},
title={Path Analysis of Supply Chain Management Reform Driven by Data Empowerment},
booktitle={Proceedings of the 2nd International Conference on E-commerce and Modern Logistics - Volume 1: ICEML},
year={2025},
pages={270-276},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013842600004719},
isbn={978-989-758-775-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on E-commerce and Modern Logistics - Volume 1: ICEML
TI - Path Analysis of Supply Chain Management Reform Driven by Data Empowerment
SN - 978-989-758-775-7
AU - Xu R.
PY - 2025
SP - 270
EP - 276
DO - 10.5220/0013842600004719
PB - SciTePress