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      How Rude! Linking supervisor incivility to subordinates’ discretionary work effort

      , , ,
      International Journal of Conflict Management
      Emerald

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          Abstract

          Purpose

          Although past research has looked into myriad consequences of workplace incivility, little attention has been paid to the effects of supervisor incivility (SI) on employees’ sense of vitality and their discretionary work effort (DWE). Moreover, the mechanisms that drive the harmful effects of SI remain largely unknown. The current study seeks to address these gaps in the literature. In particular, this study aims to examine how SI culminates in decreased DWE.

          Design/methodology/approach

          Adopting a cross-sectional survey design, data for this study were gathered from 151 employees of two large companies in the financial services sector of Pakistan. A number of analysis techniques (e.g. confirmatory factor analysis and bootstrapping) were used to analyze the data.

          Findings

          As predicted, SI was found to be negatively associated both with subordinates’ sense of vitality and DWE while vitality was found to be positively associated with DWE. Findings also indicated that one way in which SI negatively affects subordinates’ DWE is by decreasing their sense of vitality.

          Practical implications

          This study offers several useful implications for management practice in relation to preventing SI and mitigating its effects and bolstering employees’ sense of vitality.

          Originality/value

          To the best of the knowledge, this study is the first to unpack the relationship dynamics of SI, vitality and DWE, and to introduce a mechanism by which SI translates into reduced DWE.

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          Most cited references90

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

          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.
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            Evaluating Structural Equation Models with Unobservable Variables and Measurement Error

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              Statistical power analyses using G*Power 3.1: tests for correlation and regression analyses.

              G*Power is a free power analysis program for a variety of statistical tests. We present extensions and improvements of the version introduced by Faul, Erdfelder, Lang, and Buchner (2007) in the domain of correlation and regression analyses. In the new version, we have added procedures to analyze the power of tests based on (1) single-sample tetrachoric correlations, (2) comparisons of dependent correlations, (3) bivariate linear regression, (4) multiple linear regression based on the random predictor model, (5) logistic regression, and (6) Poisson regression. We describe these new features and provide a brief introduction to their scope and handling.
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                Author and article information

                Journal
                International Journal of Conflict Management
                IJCMA
                Emerald
                1044-4068
                1044-4068
                August 05 2021
                October 05 2021
                August 05 2021
                October 05 2021
                : 32
                : 5
                : 867-885
                Article
                10.1108/IJCMA-04-2021-0054
                e82af2bb-5a71-4509-9464-40dae4ff12bd
                © 2021

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