Rooted or expansive? The impact of digital-physical technological integration on corporate knowledge breadth

Amid the deep transformation of traditional industries driven by the digital economy, firms face a critical challenge in restructuring their knowledge systems to achieve innovation breakthroughs. This study investigates the core question of whether and how digital-physical integration affects corporate knowledge breadth. Using panel data of Chinese listed firms, we construct firm-level indicators for digital-physical integration and knowledge breadth. The analysis is conducted through two-way fixed effects models, instrumental variable methods, and propensity score matching. Furthermore, we examine three mediating mechanisms—dynamic capability, asset novelty, and total factor productivity to uncover the pathways through which integration exerts its influence. The results show that digital-physical integration significantly promotes the expansion of corporate knowledge breadth. This finding remains robust across various endogeneity controls and sensitivity checks. Mechanism analysis reveals that integration indirectly drives the external restructuring of knowledge structures by enhancing firms’ dynamic capabilities, optimizing resource allocation patterns, and improving productivity. Heterogeneity analysis further indicates that the effect is more pronounced among non-technology-intensive firms, non-state-owned enterprises, firms located in regions with higher human capital, and those in areas with weaker intellectual property protection. By shifting the analytical focus to knowledge organization, this study deepens the understanding of the consequences of digital transformation and extends the theoretical boundaries of corporate knowledge evolution and technological integration. The findings also offer practical insights for policymakers designing differentiated digital strategies and for firms aiming to build effective knowledge coordination systems.

Authors

Institutions

Publication Details

Journal
International Review of Economics & Finance
Published
2025-09-10
DOI
https://doi.org/10.1016/j.iref.2025.104602
Citations
1
Primary Topic
Innovation and Knowledge Management
Type
article
Field-Weighted Citation Impact
2.23
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Rooted or expansive? The impact of digital-physical technological integration on corporate knowledge breadth

Qinggang Meng, Zhantu Chen, Shao‐Chun Li, Li Li
1 citations
International Review of Economics & Finance
Innovation and Knowledge Management
2.23
article

Rooted or expansive? The impact of digital-physical technological integration on corporate knowledge breadth

Qinggang Meng, Zhantu Chen, Shao‐Chun Li, Li Li
article en
1 citations

Abstract

Amid the deep transformation of traditional industries driven by the digital economy, firms face a critical challenge in restructuring their knowledge systems to achieve innovation breakthroughs. This study investigates the core question of whether and how digital-physical integration affects corporate knowledge breadth. Using panel data of Chinese listed firms, we construct firm-level indicators for digital-physical integration and knowledge breadth. The analysis is conducted through two-way fixed effects models, instrumental variable methods, and propensity score matching. Furthermore, we examine three mediating mechanisms—dynamic capability, asset novelty, and total factor productivity to uncover the pathways through which integration exerts its influence. The results show that digital-physical integration significantly promotes the expansion of corporate knowledge breadth. This finding remains robust across various endogeneity controls and sensitivity checks. Mechanism analysis reveals that integration indirectly drives the external restructuring of knowledge structures by enhancing firms’ dynamic capabilities, optimizing resource allocation patterns, and improving productivity. Heterogeneity analysis further indicates that the effect is more pronounced among non-technology-intensive firms, non-state-owned enterprises, firms located in regions with higher human capital, and those in areas with weaker intellectual property protection. By shifting the analytical focus to knowledge organization, this study deepens the understanding of the consequences of digital transformation and extends the theoretical boundaries of corporate knowledge evolution and technological integration. The findings also offer practical insights for policymakers designing differentiated digital strategies and for firms aiming to build effective knowledge coordination systems.

International Review of Economics & FinanceVol. 104
Lingnan University (HK), Jiaxing University (CN), Beijing Sport University (CN), Hunan Institute of Technology (CN)
Openalex Percentile: Top 9%
Innovation and Knowledge Management
2.23
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.