独创性
现存分类群
透视图(图形)
背景(考古学)
知识管理
创新管理
价值(数学)
业务
社会学
计算机科学
定性研究
社会科学
地理
考古
进化生物学
人工智能
机器学习
生物
作者
Xinyi Fan,Xueshu Shan,Steven Day,Yongyi Shou
出处
期刊:Industrial Management and Data Systems
[Emerald Publishing Limited]
日期:2022-07-12
卷期号:122 (9): 2012-2044
被引量:18
标识
DOI:10.1108/imds-12-2021-0798
摘要
Purpose The purpose of this paper is to synthesize the extant literature on green innovation (GI), and more importantly, to provide future directions for GI research from the innovation ecosystem (IE) perspective. Design/methodology/approach A systematic literature review is conducted to summarize the status of current GI research, followed by content analysis to identify connectivity and crossovers between key concepts in the bodies of GI and IE literature. Then, the authors propose a green innovation ecosystem (GIE) framework and offer recommendations for future research on GI. Findings It is evident that the bodies of GI and IE literature overlap on the roles of external actors, and yet, there is scant research investigating GI activities from the IE perspective. Moreover, there are multiple directions worthy of future research applying the proposed GIE framework. Originality/value Though the concept of ecosystem has become pervasive in innovation management research, this study is one of the first works to introduce IE concepts and propositions in the GI research context. This paper provides new knowledge on GIEs and sets the basis for further investigation.
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