The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
A Conceptual Model for Green Human Resource Management: Indicators, Differential Pathways, and Multiple Pro-Environmental Outcomes
Open accessAbstract
There is a growing awareness of green human resource management (GHRM) in the environmental sustainability research in hospitality and tourism literature. The extant literature also delineates review studies about GHRM. Despite the existence of these studies, there is still a paucity of research about a parsimonious model that includes the underlying mechanisms linking GHRM to multiple pro-environmental behaviors. In view of such a gap, using the ability-motivation-opportunity framework, social exchange theory, social information processing and reformulation of attitude theories, and the happy-productive thesis as the theoretical underpinnings, our study proposes a conceptual model of GHRM. Specifically, our study links GHRM to organizationally valued pro-environmental behaviors such as task-related pro-environmental behaviors, proactive pro-environmental behaviors, green recovery performance, and green voice behavior through the mediating roles of work engagement and job satisfaction. In addition, our search of the relevant literature highlights eight indicators of GHRM such as green selective staffing, green training, green empowerment, green rewards, green career opportunities, green teamwork, green work-life balance, and green participation in decision making. Theoretical contributions and avenues for future research are discussed in the paper.
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Cites
Social Exchange Theory: An Interdisciplinary Review
Cropanzano, R., & Mitchell, M. S. (2005) · Journal of Management · doi:10.1177/0149206305279602 · Cited by 10,068
The measurement of engagement and burnout: a two sample confirmatory factor analytic approach.
Schaufeli, W. B., Salanova, M., González-romá, V., & Bakker, A. B. (2002) · Journal of Happiness Studies · doi:10.1023/a:1015630930326 · Cited by 10,014
The Measurement of Work Engagement With a Short Questionnaire: A Cross-National Study
Schaufeli, W. B., Bakker, A. B., & Salanova, M. (2006) · Educational and Psychological Measurement · doi:10.1177/0013164405282471 · Cited by 7,403
Green Human Resource Management: A Review and Research Agenda*
Renwick, D. W. S., Redman, T., & Maguire, S. (2013) · International Journal of Management Reviews · doi:10.1111/j.1468-2370.2011.00328.x · Cited by 2,586
Artificial Intelligence in Human Resources Management: Challenges and a Path Forward
Tambe, P., Cappelli, P., & Yakubovich, V. (2019) · California Management Review · doi:10.1177/0008125619867910 · Cited by 1,609
Green human resource management research in emergence: A review and future directions
Ren, S., Tang, G., & E. Jackson, S. (2018) · Asia Pacific Journal of Management · doi:10.1007/s10490-017-9532-1 · Cited by 1,002
A systematic review on green human resource management: Implications for social sustainability
Amrutha, V. N., & Geetha, S. N. (2020) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2019.119131 · Cited by 685 · cited 10×
“Amrutha and Geetha [13] cogently discuss that employees are interested in working in companies where there are practices such as “green employee succession planning”.”
BackgroundInfluentialBombiak, E., & Marciniuk-Kluska, A. (2018) · Sustainability · doi:10.3390/su10061739 · Cited by 329 · cited 1×
“Bombiak and Marciniuk-Kluska [61] convincingly discuss that companies should pay attention to the selection of the candidates who would display eco-friendly behaviors.”
BackgroundKaratepe, O. M., Rezapouraghdam, H., & Hassannia, R. (2020) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2020.102472 · Cited by 218
Self-citation
Cited by
Aftab, J., Abid, N., Cucari, N., & Savastano, M. (2023) · Business Strategy and the Environment · doi:10.1002/bse.3219 · Cited by 452
Metadata
- Authors
- Ari, E., Karatepe, O. M., Rezapouraghdam, H., & Avci, T.
- Venue
- Sustainability
- Publisher
- MDPI AG
- Published
- 2020-08-31
- Volume
- 12
- Issue
- 17
- Pages
- 7089
- ISSN
- 2071-1050 (ISSN-L)
- OpenAlex
- W3082032151
- Cited by
- 161
- References
- 9
- FWCI
- 18.31
- Type
- journal article
- Language
- en
- Open access
- gold
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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.