Factors Influencing the Awareness of Green Human Resource Management Practices in Bangladesh: An Application of Hierarchical Logistic Regression Model

Behzad Noor, Md. Mahabubul Ahsan, Khandakar Kamrul Hasan, Rashadur Rahman


The term “Green Management” is becoming increasingly popular, and “Go Green” strategies have been embraced extensively in the business world for the past few decades. Green Human Resource Management (GHRM or Green HRM) is one of the approaches that organizations are much more conscious of using to manage the environment in the twenty-first century. The goal of this study was to determine the degree to which HR Managers at various levels from different firms in Bangladesh are aware of green human resource management. A combination of quantitative and qualitative research methods is employed to gather information. Specifically, data were collected from 541 employees in selected firms availing the purposing sampling procedure. Bivariate distribution with the Chi-square test and hierarchical logistic regression model were fitted with respect to the awareness level where the causal research approach was executed to find out the significant factors that increase the employees’ awareness of green HRM. Organizations that perform at their highest level must implement the requisite Green HRM practices. In addition, since achieving organizational excellence would have positive long-term effects on the economy, the government may develop regulations to support the aforementioned behaviors. Persistent organizational and governmental human resource development activities may make all of these possible. The relevance of the current study arises from the fact that only a few studies have examined Bangladeshi employees’ understanding of green human resource management. Additionally, the knowledge gathered from this research helps advance this field of study in the future, especially in a non-Western nation like Bangladesh.


Keywords: green human resource management, hierarchical logistic regression model, employees.



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