Wells, Victoria orcid.org/0000-0003-1253-7297, Ciocirlan, Cristina, Manika, Danae et al. (1 more author) (2024) Green, keen, and somewhere in between:An employee environmental segmentation study. Journal of Cleaner Production. 141296. ISSN 0959-6526
Abstract
Past researchanalyzes employee engagement in pro-environmental behavior by assuming all employees are similar in their values, beliefs, and norms (VBN). We argue that a segmented approach is more effective in understanding workplace proenvironmental behaviors (PEBs) and seek to develop a typology of employees. Analyzing data from 702 office employees in the UK, this study yields a more finely grained segmentation of employee differences regarding environmental dimensions, personality traits, behaviors, and perceptions. Based on a cluster analysis methodology, this paper identifies three distinct employee segments: ‘Acorns,’ ‘Saplings,’ and ‘Trees.’ Theoretically, our findings suggest that the VBN theory should be expanded by integrating personality traits, and that organizational environmental policy makers should pay attention to the green subcultures that may form within clusters. Practically, our typology helps organizations design interventions to target different groups of employees with customized motivational strategies, communication tactics, and engagement approaches.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2024 Elsevier Ltd. This is an author-produced version of the published paper. Uploaded in accordance with the University’s Research Publications and Open Access policy. |
Keywords: | VBN theory; employee segmentation; personality; green person-organization (GPO) fit; corporate environmental responsibility (CER) |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Social Sciences (York) > The York Management School |
Depositing User: | Pure (York) |
Date Deposited: | 23 Feb 2024 09:10 |
Last Modified: | 16 Oct 2024 19:48 |
Published Version: | https://doi.org/10.1016/j.jclepro.2024.141296 |
Status: | Published |
Refereed: | Yes |
Identification Number: | 10.1016/j.jclepro.2024.141296 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:209545 |
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