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Title How do external and internal factors drive green innovation practices under the influence of big data analytics capability: Evidence from China
ID_Doc 19683
Authors Chen, ZW; Liang, M
Title How do external and internal factors drive green innovation practices under the influence of big data analytics capability: Evidence from China
Year 2023
Published
DOI 10.1016/j.jclepro.2023.136862
Abstract The questions of what drives green innovation practices and how such practices can be promoted have received increasing attention. Integrating stakeholder theory and resource-based theory, this study develops a holistic model to study how external and internal factors drive green innovation practices under the influence of big data analytics capability. We used the hierarchical multiple regression method to test data collected from 209 en-terprises located in China. The results show that green competition is the most influential driving force for green innovation practices, followed by formal institutions, informal institutions and customer green demands. Top management environmental awareness plays a mediating role in the relationship between external factors and green innovation practices, and the mediating paths of the two types of environmental awareness are very different. Big data analytics capability plays a moderating role in the relationship between external drivers and top management environmental awareness.
Author Keywords Green innovation practices; Institutional and market environment factors; Top management environmental awareness; Big data analytics capability
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Science Citation Index Expanded (SCI-EXPANDED)
EID WOS:000973292400001
WoS Category Green & Sustainable Science & Technology; Engineering, Environmental; Environmental Sciences
Research Area Science & Technology - Other Topics; Engineering; Environmental Sciences & Ecology
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