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Cited by 300

The DOI matches its Crossref record; 109 of the 109 references it cites were found in a registry or an index.

The Role of Short-Termism and Uncertainty Avoidance in Organizational Inaction on Climate Change: A Multi-Level Framework

Slawinski, Natalie, Pinkse, Jonatan, Busch, Timo, Banerjee, Subhabrata Bobby·2017·Business & Society

Abstract

Despite increasing pressure to deal with climate change, firms have been slow to respond with effective action. This article presents a multi-level framework for a better understanding of why many firms are failing to reduce their absolute greenhouse gas emissions, which contribute to climate change. The concepts of short-termism and uncertainty avoidance from research in psychology, sociology, and organization theory can explain the phenomenon of organizational inaction on climate change. Antecedents related to short-termism and uncertainty avoidance reinforce one another at three levels—individual, organizational, and institutional—and result in organizational inaction on climate change. The article also discusses the implications of this multi-level framework for research on corporate sustainability.

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Crossref · 10.1177/0007650315576136

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Metadata

Authors
Slawinski, N., Pinkse, J., Busch, T., & Banerjee, S. B.
Venue
Business & Society
Published
2016-07-27
Volume
56
Issue
2
Pages
253-282
ISSN
  • 0007-6503 (ISSN-L)
  • 1552-4205
OpenAlex
W2130546811
Cited by
300
References
109
FWCI
39.93
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Role of Short-Termism and Uncertainty Avoidance in Organizational Inaction on Climate Change: A Multi-Level Framework. https://app.cochat.ai/papers/10.1177/0007650315576136
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Slawinski, N., Pinkse, J., Busch, T., & Banerjee, S. B. (2017). The Role of Short-Termism and Uncertainty Avoidance in Organizational Inaction on Climate Change: A Multi-Level Framework. Business & Society. https://doi.org/10.1177/0007650315576136

Data sources

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.