Green HRM, organizational identification and sustainable development in the emerging economy: applications from social identity theory
Journal of Economic and Administrative Sciences
ISSN: 2054-6238
Article publication date: 1 August 2023
Abstract
Purpose
As a result, the current study attempted to investigate the impact of green human resource (GHR) practices on long-term performance, and the path has been explained through organizational identification, which is supported by social identity theory.
Design/methodology/approach
To achieve the present study's primary goal, data were obtained from manufacturing businesses and analyzed using partial least square (Smart PLS) on the data of 284 Pakistani small and medium-sized enterprises (SMEs) registered with the small and medium-sized enterprises development authority (SMEDA).
Findings
As a result, the findings show that organizational identification explains the indirect relationship between sustainable performance and green human resource management (GHRM).
Practical implications
To limit the limited negative effect on the environment and society, the findings provide several suggestions for the government authorities and policymakers to adopt green practices and policies.
Originality/value
Green practices are essential for a company to limit its negative environmental effect. Environmental critical problems among shareholders put pressure on the firm to implement GHR practices and organizational identification with long-term success.
Keywords
Acknowledgements
Since acceptance of this article, the following author have updated their affiliations: Rizwan Ullah Khan is a Senior Lecturer at the Faculty of Business International University, Malaya-Wales and can be contacted at: dr.rizwanullah@iumw.edu.my.
Citation
Khan, R.U., Abbasi, M.A., Farhan, A.F.A., Al-sakkaf, M.A. and Singh, K.S.D. (2023), "Green HRM, organizational identification and sustainable development in the emerging economy: applications from social identity theory", Journal of Economic and Administrative Sciences, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/JEAS-07-2022-0177
Publisher
:Emerald Publishing Limited
Copyright © 2023, Emerald Publishing Limited