How Do Core Management Team Network Ties Affect Green Innovation? Evidence from the Chinese ICT Industry

In the context of green sustainable development, improving the quality of green innovation (GI) has become an urgent issue for enterprises. Corporate social networks play a vital role in improving the quality of GI, but there is a lack of research on how the social networks established by management team members influence GI, the pathways of their relationships, and their moderating effects. This study uses data from Chinese ICT industry listed companies between 2012 and 2022, employing social network analysis to construct the social network connections of core management team members. Mechanism analysis indicates that degree centrality and structural holes have positive effects on GI, while network density has a negative effect. R&D expenditure and personnel investment mediate the relationship between structural holes/network density and GI. Environmental information disclosure (EID) strengthens the relationship between structural holes/network density and GI. This research integrates the mediating effect and moderating effect models to elucidate the logical relationship among corporate social networks, R&D investment, EID, and GI, which has practical significance for further optimizing government environmental governance mechanisms, adjusting corporate social network structures, and enhancing innovation capabilities.

Authors

Institutions

Publication Details

Journal
Sustainability
Published
2025-04-04
DOI
https://doi.org/10.3390/su17073217
Citations
1
Primary Topic
Innovation Diffusion and Forecasting
Type
article
Field-Weighted Citation Impact
2.11
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

How Do Core Management Team Network Ties Affect Green Innovation? Evidence from the Chinese ICT Industry

Zhuohang Li, Y.G. Wang
1 citations
Sustainability
Innovation Diffusion and Forecasting
2.11
article

How Do Core Management Team Network Ties Affect Green Innovation? Evidence from the Chinese ICT Industry

Zhuohang Li, Y.G. Wang
article en
1 citations

Abstract

In the context of green sustainable development, improving the quality of green innovation (GI) has become an urgent issue for enterprises. Corporate social networks play a vital role in improving the quality of GI, but there is a lack of research on how the social networks established by management team members influence GI, the pathways of their relationships, and their moderating effects. This study uses data from Chinese ICT industry listed companies between 2012 and 2022, employing social network analysis to construct the social network connections of core management team members. Mechanism analysis indicates that degree centrality and structural holes have positive effects on GI, while network density has a negative effect. R&D expenditure and personnel investment mediate the relationship between structural holes/network density and GI. Environmental information disclosure (EID) strengthens the relationship between structural holes/network density and GI. This research integrates the mediating effect and moderating effect models to elucidate the logical relationship among corporate social networks, R&D investment, EID, and GI, which has practical significance for further optimizing government environmental governance mechanisms, adjusting corporate social network structures, and enhancing innovation capabilities.

SustainabilityVol. 17(7)
University of Macau (MO), City University of Macau (MO)
Openalex Percentile: Top 15%
Innovation Diffusion and Forecasting
2.11
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.