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Cited by 178

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Green absorptive capacity: A mediation‐moderation model of knowledge for innovation

Pacheco, Larissa Marchiori, Alves, Marlon Fernandes Rodrigues, Liboni, Lara Bartocci·2018·Business Strategy and the Environment

Abstract

Supported by the dynamic capabilities literature, this study examines the linkages between environmental factors, organizational factors and green innovation performance in light of the moderating effect of green absorptive capacity. Based on a sample of 78 firms in the electric power industry in Brazil, a mediation‐moderation model is proposed and tested using partial least squares structural equation modelling, which allows the analysis of both direct and indirect relationships. The results yielded general support for the study hypotheses, suggesting that (i) environmental factors have both a direct and indirect positive effect on green innovation performance, (ii) organizational factors fully mediate the effect of environmental factors on green innovation performance, and (iii) green absorptive capacity has a positive moderating impact on the mediation model. These findings provide empirical evidence of a better understanding of the antecedents of green innovation performance by highlighting the role of green absorptive capacity.

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Metadata

Authors
Pacheco, L. M., Alves, M. F. R., & Liboni, L. B.
Venue
Business Strategy and the Environment
Publisher
Wiley
Published
2018-08-06
Volume
27
Issue
8
Pages
1502-1513
ISSN
  • 0964-4733 (ISSN-L)
  • 1099-0836
OpenAlex
W2887620448
Cited by
178
References
7
FWCI
18.74
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Green absorptive capacity: A mediation‐moderation model of knowledge for innovation. https://app.cochat.ai/papers/10.1002/bse.2208
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Pacheco, L. M., Alves, M. F. R., & Liboni, L. B. (2018). Green absorptive capacity: A mediation‐moderation model of knowledge for innovation. Business Strategy and the Environment. https://doi.org/10.1002/bse.2208

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

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