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Cited by 334

The DOI matches its Crossref record; 102 of the 102 references it cites were found in a registry or an index.

Green intellectual capital and ambidextrous green innovation: The impact on environmental performance

Open access
Asiaei, Kaveh, O'Connor, Neale G, Barani, Omid, Joshi, Mahesh·2023·Business Strategy and the Environment
DOI 10.1002/bse.3136
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Abstract

This study relies on a unique synthesis of ambidexterity theory and the natural resource orchestration approach to investigate how green intellectual capital elements, namely green human, structural, and relational capital, along with ambidextrous green innovation, trigger a synergy in favor of environmental performance. In particular, this paper primarily aims to test the mediating role of ambidextrous green innovation in the relationship between green intellectual capital and environmental performance. Based on a survey of 105 Iranian public listed companies, the results indicate that green intellectual capital elements are not directly associated with environmental performance. Instead, they influence environmental performance only through the channel of ambidextrous green innovation as a mediating variable. This is the first study to simultaneously embed the resource orchestration theory in the green intellectual capital and ambidexterity literature. The findings of the current study offer new insights into the issue of how organizations gain maximum benefit from the orchestration of their various green assets and capabilities, including green intellectual capital and ambidextrous green innovation.

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Metadata

Authors
Asiaei, K., O'Connor, N. G., Barani, O., & Joshi, M.
Venue
Business Strategy and the Environment
Publisher
Wiley
Published
2022-05-26
Volume
32
Issue
1
Pages
369-386
ISSN
  • 0964-4733 (ISSN-L)
  • 1099-0836
DOI
10.1002/bse.3136
OpenAlex
W4281565066
Cited by
334
References
102
FWCI
44.76
Type
journal article
Language
en
Open access
hybrid

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.