Khaskhely Mahvish Kanwal, Qazi Sarah Wali, Khan Naveed R, Hashmi Tooba, Chang Asma Abdul Rahim
Institute of Science, Technology and Development, Mehran University of Engineering and Technology (MUET), Jamshoro, Pakistan.
Department of Management Science, Shaheed Zulfiqar Ali Bhutto Institute of Science and Technology, Karachi, Pakistan.
Front Psychol. 2022 Jun 29;13:844488. doi: 10.3389/fpsyg.2022.844488. eCollection 2022.
Pakistan ranks as the eighth most vulnerable country on the 2021 global climate change vulnerability index. Partially, this perilous position is attributed to unsustainable practices in the large-scale manufacturing sector since its contribution to carbon emission is among the highest in the economy. These serious environmental challenges impede the attainment of sustainable development goals that concern responsible consumption and production. In manufacturing organizations, there are an ongoing debate regarding sustainable human resource management (HRM) determinants, which can promote sustainable performance. In this regard, green human resource management (GHRM) practices and dynamic sustainable capabilities are significant components as they have a unique role in transforming corporations into sustainable organizations. However, there is a dearth of evidence regarding the impact of individual GHRM practices, such as green recruitment and selection, green pay and reward, and sustainable capabilities like monitoring and re-configuration, in improving the corporate environmental and social performance. Hence, an empirical investigation regarding the association among these macro-level components with the corporate environmental and social performance through partial least squares structural equation modeling (PLS-SEM) is conducted. The findings inferred from 396 employees affiliated with six large-scale industries substantiate the main hypotheses of this study. It is empirically confirmed that GHRM and dynamic sustainable capabilities significantly and positively impact corporate sustainable performance. This research contributes to the literature by employing dynamic capabilities approach and a dynamic resource-based view (RBV) to explicate how corporations can benefit from the interplay of sustainable capabilities and GHRM functions. Hence, in the absence of a significant predictive model, this research is the first of its kind to isolate macro-level antecedents of sustainable HRM to find their impact on corporate sustainable performance in a developing country context. The study recommends that the management should prioritize the acquisition of monitoring capabilities and hiring environmentally conscious employees to achieve social equity and ecological conservation goals.
巴基斯坦在2021年全球气候变化脆弱性指数中位列第八大最脆弱国家。部分而言,这一危险处境归因于大规模制造业部门的不可持续做法,因为其碳排放贡献在经济中位居前列。这些严峻的环境挑战阻碍了与负责任消费和生产相关的可持续发展目标的实现。在制造企业中,关于可持续人力资源管理(HRM)决定因素的争论一直存在,这些因素能够促进可持续绩效。在这方面,绿色人力资源管理(GHRM)实践和动态可持续能力是重要组成部分,因为它们在将企业转变为可持续组织方面具有独特作用。然而,关于个别GHRM实践(如绿色招聘与选拔、绿色薪酬与奖励)以及诸如监测和重新配置等可持续能力对改善企业环境和社会绩效的影响,缺乏相关证据。因此,通过偏最小二乘结构方程模型(PLS-SEM)对这些宏观层面要素与企业环境和社会绩效之间的关联进行了实证研究。从六个大型行业的396名员工得出的研究结果证实了本研究的主要假设。实证表明,GHRM和动态可持续能力对企业可持续绩效具有显著的正向影响。本研究通过运用动态能力方法和动态资源基础观(RBV)来阐释企业如何从可持续能力与GHRM职能的相互作用中受益,为该领域文献做出了贡献。因此,在缺乏显著预测模型的情况下,本研究首次在发展中国家背景下分离出可持续HRM的宏观层面前因,以探究其对企业可持续绩效的影响。该研究建议管理层应优先获取监测能力并招聘具有环保意识的员工,以实现社会公平和生态保护目标。