The impact of enterprises’ scientific capabilities on innovation performance: evidence from an empirical analysis and simulation model

As the interaction between science and technology intensifies, the role of science in driving technological innovation has become increasingly significant. Enterprises, as key actors in market competition and innovation, can gain a substantial competitive advantage and contribute to industrial transformation by engaging in basic research. This study focuses on science-based enterprises, defining enterprises’ scientific capabilities in two dimensions: internal scientific capabilities and external scientific capabilities. Through a combination of empirical and simulation research, this study examines the mechanisms by which scientific capabilities influence innovation performance. The results demonstrate that internal scientific capabilities significantly enhance enterprise innovation, underlining the importance of engaging in basic research to foster scientific innovation performance. External scientific capabilities, particularly in terms of quantity, also contribute positively to innovation performance, emphasizing the value of industry-university-research collaborations and the effective absorption of scientific knowledge. Furthermore, scientific innovation intensity mediates the relationship between scientific capabilities and innovation performance, with science-based innovation acting as a bridge between scientific discoveries and technological advancement. While scientific research funding moderates the impact of internal scientific capabilities on innovation performance, it shows no significant moderating effect on external scientific capabilities. Based on these findings, the study proposes four pathways for enterprises to enhance innovation performance: independent innovation, collaborative R&D, scientific knowledge absorption, and technical iteration. This research advances both enterprise capability theory and technological innovation theory by addressing the gap in understanding how enterprises’ scientific capabilities influence innovation and providing actionable insights for the development of science-based enterprises.

Authors

Institutions

Publication Details

Journal
Humanities and Social Sciences Communications
Published
2025-04-17
DOI
https://doi.org/10.1057/s41599-025-04808-w
Citations
4
Primary Topic
Innovation and Knowledge Management
Type
article
Field-Weighted Citation Impact
8.91

Funders

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

The impact of enterprises’ scientific capabilities on innovation performance: evidence from an empirical analysis and simulation model

Wucheng Han, Jiasu Lei, Ruoyu Lu, Weijie Zhu
4 citations
Humanities and Social Sciences Communications
Innovation and Knowledge Management
8.91
article

The impact of enterprises’ scientific capabilities on innovation performance: evidence from an empirical analysis and simulation model

Wucheng Han, Jiasu Lei, Ruoyu Lu, Weijie Zhu
article en
4 citations

Abstract

As the interaction between science and technology intensifies, the role of science in driving technological innovation has become increasingly significant. Enterprises, as key actors in market competition and innovation, can gain a substantial competitive advantage and contribute to industrial transformation by engaging in basic research. This study focuses on science-based enterprises, defining enterprises’ scientific capabilities in two dimensions: internal scientific capabilities and external scientific capabilities. Through a combination of empirical and simulation research, this study examines the mechanisms by which scientific capabilities influence innovation performance. The results demonstrate that internal scientific capabilities significantly enhance enterprise innovation, underlining the importance of engaging in basic research to foster scientific innovation performance. External scientific capabilities, particularly in terms of quantity, also contribute positively to innovation performance, emphasizing the value of industry-university-research collaborations and the effective absorption of scientific knowledge. Furthermore, scientific innovation intensity mediates the relationship between scientific capabilities and innovation performance, with science-based innovation acting as a bridge between scientific discoveries and technological advancement. While scientific research funding moderates the impact of internal scientific capabilities on innovation performance, it shows no significant moderating effect on external scientific capabilities. Based on these findings, the study proposes four pathways for enterprises to enhance innovation performance: independent innovation, collaborative R&D, scientific knowledge absorption, and technical iteration. This research advances both enterprise capability theory and technological innovation theory by addressing the gap in understanding how enterprises’ scientific capabilities influence innovation and providing actionable insights for the development of science-based enterprises.

Humanities and Social Sciences CommunicationsVol. 12(1)
University of Electronic Science and Technology of China (CN), Advanced Card Systems (China) (CN), Tsinghua University (CN)
National Natural Science Foundation of China
Industry, innovation and infrastructure
Openalex Percentile: Top 3%
Innovation and Knowledge Management
8.91
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.