The Joint Impact of Organizational and Individual Factors on Employees' Green Behavior.
Published In: Asia Pacific Journal of Human Resources, 2025, v. 63, n. 1. P. 1 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Yang, Yue; Xi, Guoqian; Chen, Qi; Zhang, Liming; Zhong, Changbiao 3 of 3
Abstract
Employee green behavior is a necessary condition for organizations to achieve sustainable success. Drawing upon self‐determination theory, this paper thoroughly investigates the mechanism through which a synergistic combination of multiple antecedents' influences employee green behavior via qualitative comparative analysis. The findings reveal that no single factor constitutes a necessary condition for high employees' green behavior. However, organizational identification and green self‐efficacy play crucial roles in fostering such behaviors. We identify three equivalent pathways for promoting employees' green behavior, namely, "synergistic internal and external environmental orientation," "psychological climate driven by organizational identity," and "internal environmental orientation under environmental regulation." Furthermore, this study uncovers the complementary nature of organizational identity and employee self‐efficacy, as well as the substitutability of internal and external environmental orientation. These findings suggest that organizations should focus on fostering a strong organizational identity and enhancing employees' self‐efficacy while maintaining a balance between internal and external environmental orientations to effectively promote green behavior among employees. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Asia Pacific Journal of Human Resources. 2025/01, Vol. 63, Issue 1, p1
- Document Type:Article
- Subject Area:Social Sciences and Humanities
- Publication Date:2025
- ISSN:1038-4111
- DOI:10.1111/1744-7941.12436
- Accession Number:183821578
- Copyright Statement:Copyright of Asia Pacific Journal of Human Resources is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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