大数据
业务
中国
利益相关方参与
知识管理
利益相关者
分析
结构方程建模
绿色创新
营销
产业组织
计算机科学
数据科学
公共关系
经济
管理
政治学
法学
机器学习
操作系统
标识
DOI:10.1016/j.jclepro.2023.136862
摘要
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 enterprises 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.
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