The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
Greening organizations through leaders' influence on employees' pro‐environmental behaviors
Abstract
Summary: Climate change is a serious global issue that poses many risks to environmental and human systems. Although human activity is cited as the main cause of climate change and organizations significantly contribute to climate change, research that investigates workplace pro‐environmental behaviors remains scarce. We develop and test a model that links environmentally‐specific transformational leadership and leaders' workplace pro‐environmental behaviors to employees' pro‐environmental passion and behaviors. Structural equation modeling on data from 139 subordinate–leader dyads (M ages = 37.42 and 40.17 years, respectively) showed that leaders' environmental descriptive norms predicted their environmentally‐specific transformational leadership and their workplace pro‐environmental behaviors, both of which predicted employees' harmonious environmental passion. In turn, employees' own harmonious environmental passion and their leaders' workplace pro‐environmental behaviors predicted their workplace pro‐environmental behaviors. These findings show that leaders' environmental descriptive norms and the leadership and pro‐environmental behaviors they enact play an important role in the greening of organizations. Conceptual and practical implications are discussed. Copyright © 2012 John Wiley & Sons, Ltd.
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InfluentialIrreversible climate change due to carbon dioxide emissions
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Cited by
The Means and End of Greenwash
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Contemporary developments in Green (environmental) HRM scholarship
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Metadata
- Authors
- Robertson, J. L., & Barling, J.
- Venue
- Journal of Organizational Behavior
- Publisher
- Wiley
- Published
- 2012-07-27
- Volume
- 34
- Issue
- 2
- Pages
- 176-194
- ISSN
- 0894-3796 (ISSN-L)
- 1099-1379
- OpenAlex
- W2162310951
- Cited by
- 1,238
- References
- 15
- FWCI
- 50.08
- Type
- journal article
- Language
- en
- Open access
- closed
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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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