Skip to Main Content
Article navigation
Purpose

This paper tries to give a unique standpoint on establishing a system dynamic (SD) model that addresses the real-time problems associated with green human resource management (GHRM) practices and increased environmental performance (IEP).

Design/methodology/approach

Based on the ability-motivation-opportunity (AMO) theory perspectives, the study applied the system dynamics (SD) method to draw a generic causal loop diagram (CLD) Model to understand the complex and dynamic behavior between GHRM and IEP. Further, the Model structure is validated using quantitative data from 555 executive-level employees of manufacturing industries in India.

Findings

The study find twelve important loops (ten reinforcing and two balancing) in the Model. Loops R1-10 show reinforcing behavior in the system. However, B1-B2 represents the balancing behavior. The study tries to analyze different loop behaviors in the Model and provide a solution to the problem associated with GHRM and IEP achievement.

Practical implications

The study contributes to the literature on GHRM and IEP by identifying essential variables that impact the dynamic relationships. Further, the paper attempts to develop a robust model for the stakeholders. Furthermore, the proposed Model will provide guidelines to stakeholders with dynamic questions on how to embrace environmental performance within GHRM practices.

Originality/value

The paper's findings have presented an exclusive worth to the GHRM and IEP literature as it employs SD methods to understand the complexity and dynamism in the relationships. There is significantly less research on GHRM where the SD approach is applied, particularly in a developing country setting like India.

Licensed re-use rights only
You do not currently have access to this content.
Don't already have an account? Register

Purchased this content as a guest? Enter your email address to restore access.

Please enter valid email address.
Email address must be 94 characters or fewer.
Pay-Per-View Access
$39.00
Rental

or Create an Account

Close Modal
Close Modal