How servant leadership affects organizational citizenship behavior: the mediating roles of perceived procedural justice and trust

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Abstract

Purpose

The paper aimed (1) to examine the mediating effects of procedural justice perception and trust in leaders between servant leadership and customer-oriented organizational citizenship behavior and (2) to investigate the relationships between procedural justice perception and trust in leaders in the context of Chinese hotel industry.

Design/methodology/approach

The paper opted for a quantitative study using online survey to collect data. Data screening was carried out to ensure all the data met the underlying statistical assumptions. This paper adopted structural equation modeling (SEM) to test the hypotheses.

Findings

The paper found that procedural justice perception and trust in leaders have a full mediating effect on the relationship between servant leadership and customer-oriented organizational citizenship behavior. Procedural justice perception was positively associated with trust in leaders.

Originality/value

The paper provided a framework to enhance the theoretical understanding of interconnectedness of servant-leadership-related variables. It filled a theoretical gap by proposing an integrative model that examined the relationships among the variables of interest.

Related collections

Most cited references 105

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Sources of method bias in social science research and recommendations on how to control it.

Philip M. Podsakoff, Scott B. MacKenzie, Nathan P. Podsakoff (2012)

Despite the concern that has been expressed about potential method biases, and the pervasiveness of research settings with the potential to produce them, there is disagreement about whether they really are a problem for researchers in the behavioral sciences. Therefore, the purpose of this review is to explore the current state of knowledge about method biases. First, we explore the meaning of the terms "method" and "method bias" and then we examine whether method biases influence all measures equally. Next, we review the evidence of the effects that method biases have on individual measures and on the covariation between different constructs. Following this, we evaluate the procedural and statistical remedies that have been used to control method biases and provide recommendations for minimizing method bias.