Green human resource management, perceived green organizational support and their effects on hotel employees’ behavioral outcomes

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Abstract

Purpose

This paper aims to propose a research model that explores perceived green organizational support (OS) as a mediator of the effect of green human resource management (GHRM) on job performance (JP) and organizational citizenship behavior toward the organization (OCB-O).

Design/methodology/approach

This paper used data obtained from small- and medium-sized hotels in Palestine. The associations given above were tested using structural equation modeling.

Findings

The findings reveal that GHRM boosts hotel employees’ perceptions of green OS. That is, the effective implementation of GHRM is a sign of perceived green OS. Congruent with the study predictions, employees’ perceptions of green OS activate their JP and OCB-O. Finally, perceived green OS mediates the impact of GHRM on JP and OCB-O.

Practical implications

Management should take advantage of green human resource practices to acquire and retain talented employees whose environmental goals and values fit those of the company. Employees should be involved in problem-solving on environmental sustainability and green management. They should also participate in continuous training programs and enhance their awareness of environmental sustainability and green management.

Originality/value

There is a lack of evidence appertaining to the effects of GHRM and perceived green OS on non-green positive workplace performance outcomes. More importantly, there is a scarcity of evidence about the mechanism linking GHRM to these performance outcomes.

Related collections

Most cited references 72

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Common method biases in behavioral research: A critical review of the literature and recommended remedies.

Philip M Podsakoff, Scott MacKenzie, Jeong-Yeon Lee … (2003)

Interest in the problem of method biases has a long history in the behavioral sciences. Despite this, a comprehensive summary of the potential sources of method biases and how to control for them does not exist. Therefore, the purpose of this article is to examine the extent to which method biases influence behavioral research results, identify potential sources of method biases, discuss the cognitive processes through which method biases influence responses to measures, evaluate the many different procedural and statistical techniques that can be used to control method biases, and provide recommendations for how to select appropriate procedural and statistical remedies for different types of research settings.