The Spillover of Digital Transformation in Supply Chain Innovation

Based on a sample of Chinese listed firms from 2010 to 2024, this study employs a complex adaptive systems (CAS) lens to investigate the spillover effects of core-firm digital transformation (CDT) on innovation within supply chain networks. It reveals that CDT fosters supplier innovation while impeding customer innovation. Heterogeneity analysis shows that the spillover effect is more pronounced when suppliers (customers) are non-state-owned, larger, more competitive, and have more able managers. Mechanism analysis suggests that the spillover effect is realized through resource and competition mechanisms. This study contributes to the literature by integrating CAS theory with established supply chain management perspectives to provide a systemic understanding of digital transformation’s ripple effects, offering valuable insights for both managers navigating digital ecosystem evolution and policymakers designing industrial innovation strategies.

Authors

Institutions

Publication Details

Journal
Systems
Published
2025-12-30
DOI
https://doi.org/10.3390/systems14010041
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Spillover of Digital Transformation in Supply Chain Innovation

Meifeng Zou, Xindong Zhang, Guorong Hao
Systems
Digital Transformation in Industry
article

The Spillover of Digital Transformation in Supply Chain Innovation

Meifeng Zou, Xindong Zhang, Guorong Hao
article en

Abstract

Based on a sample of Chinese listed firms from 2010 to 2024, this study employs a complex adaptive systems (CAS) lens to investigate the spillover effects of core-firm digital transformation (CDT) on innovation within supply chain networks. It reveals that CDT fosters supplier innovation while impeding customer innovation. Heterogeneity analysis shows that the spillover effect is more pronounced when suppliers (customers) are non-state-owned, larger, more competitive, and have more able managers. Mechanism analysis suggests that the spillover effect is realized through resource and competition mechanisms. This study contributes to the literature by integrating CAS theory with established supply chain management perspectives to provide a systemic understanding of digital transformation’s ripple effects, offering valuable insights for both managers navigating digital ecosystem evolution and policymakers designing industrial innovation strategies.

SystemsVol. 14(1)
Shanxi University (CN), Taiyuan University of Science and Technology (CN)
National Natural Science Foundation of China, Ministry of Education of the People's Republic of China
Industry, innovation and infrastructure
Openalex Percentile: Top 32%
Digital Transformation in Industry
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

The Spillover of Digital Transformation in Supply Chain Innovation — Meifeng Zou, Xindong Zhang, et al. · Systems (2025) | TGRS Research Map | TGRS