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      Workplace bullying and organizational citizenship behavior: the parallel mediating effects of job satisfaction and resilience

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      International Journal of Emerging Markets
      Emerald

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          Abstract

          Purpose

          Upholding congruency with conservation of resources (COR) theory, the study intends to analyze the impact of workplace bullying on organizational citizenship behavior (OCB) via job satisfaction and resilience as parallel mediators in the Indian hospitality sector.

          Design/methodology/approach

          The study used a data of 240 respondents working in the hospitality sector in India. Direct and indirect effects were assessed through statistical techniques such as structural equation modeling and mediation analysis (Preacher and Hayes, 2004) for hypotheses testing using SPSS and AMOS tools.

          Findings

          The findings of the study suggest the negative correlation between workplace bullying and OCB. This study demonstrates the role of job satisfaction and resilience as parallel mediators in combating the cascading ill effect of workplace bullying on OCB.

          Research limitations/implications

          The results help India's hospitality sector to understand the intensity and impact of workplace bullying on job satisfaction and OCB.

          Originality/value

          This is the original and first study examining the role of workplace bullying on OCB via job satisfaction and resilience as parallel mediators in the non-Western context.

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          Most cited references119

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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

                Contributors
                (View ORCID Profile)
                Journal
                International Journal of Emerging Markets
                IJOEM
                Emerald
                1746-8809
                June 29 2021
                June 27 2023
                June 29 2021
                June 27 2023
                : 18
                : 7
                : 1565-1586
                Article
                10.1108/IJOEM-03-2021-0417
                861b8893-90bc-4fd4-9bc2-97f0cbbf3ea8
                © 2023

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