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Linking GHRM with Environmental Performance: Importance Role of Task-Related Pro-Environmental Behaviour

Authors: Afrasayab Khattak, Hafizullah, Khalid Rahman, Luigi Pio Leonardo Cavaliere, Muhammad Imran, Badshah Hussain;

Linking GHRM with Environmental Performance: Importance Role of Task-Related Pro-Environmental Behaviour

Abstract

There is a limited study on the link between green human resource management (GHRM), task-related pro-environmental behaviors, and environmental performance, especially in tourism enterprises. This study bridges the knowledge gap by examining the impact of GHRM on environmental performance throughthe mediating effect of task-related pro-environmental behaviors in tourism enterprises. For this purpose, a quantitative research methodology was used with a pre-tested instrument. To investigate the specified relationship, a purposive sampling technique was used to select 347 employees of hotels and travel agencies of Khyber Pakhtunkhwa to participate in this study. We found that GHRM has a positive and significant impact on environmental performance. Furthermore, we also found that the relationship between GHRM and environmental performance is mediated by task-related pro-environmental behavior. According to the findings of the mediation analysis, task-related pro-environmental behavior. The findings have a lot of implications for tourism researchers and practitioners, especially those concerned with tourism enterprises. Study limitations and future study opportunities are also mentioned.

Keywords

Afrasayab Khattak, Hafizullah, Khalid Rahman, Luigi Pio Leonardo Cavaliere, Muhammad Imran, Badshah Hussain

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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