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      Differential effects of rude coworkers and patients on nurses' safety performance: an emotional labor perspective

      , , ,
      Journal of Managerial Psychology
      Emerald

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          Abstract

          Purpose

          This paper examines how nurses differentially respond, both emotionally and behaviorally, to incivility from coworkers (i.e. other healthcare staff) and from their patients. Specifically, the authors explore how coworker and patient incivility distinctly influence the extent to which nurses engage in emotional labor, which in turn, may impact nurses' safety performance. The authors further examine how nurses' hostile attribution biases exacerbate and mitigate these effects.

          Design/methodology/approach

          A three-week longitudinal study was conducted with 187 nurses in which they reported their experiences with incivility, surface and deep acting, hostile attribution biases and safety performance (i.e. safety compliance and participation).

          Findings

          Patient incivility led to more surface acting across all nurses. Further, the effects of coworker incivility on emotional labor strategies were conditional on nurses' hostile attribution biases (HAB). Specifically, coworker incivility led to more surface acting among nurses higher on HAB, and coworker incivility led to less deep acting among those lower on HAB. Finally, surface acting was associated with reduced safety participation, and deep acting was associated with greater safety compliance and safety participation.

          Originality/value

          The nursing context allowed the current research to extend understanding about how incivility affects an unexplored outcome—safety performance. The current research also offers a rare examination of the effects of incivility from multiple sources (i.e. coworkers and patients) and demonstrates the different processes through which incivility from these different sources impacts nurses' ability to perform safely.

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          Most cited references69

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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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            Addressing Moderated Mediation Hypotheses: Theory, Methods, and Prescriptions.

            This article provides researchers with a guide to properly construe and conduct analyses of conditional indirect effects, commonly known as moderated mediation effects. We disentangle conflicting definitions of moderated mediation and describe approaches for estimating and testing a variety of hypotheses involving conditional indirect effects. We introduce standard errors for hypothesis testing and construction of confidence intervals in large samples but advocate that researchers use bootstrapping whenever possible. We also describe methods for probing significant conditional indirect effects by employing direct extensions of the simple slopes method and Johnson-Neyman technique for probing significant interactions. Finally, we provide an SPSS macro to facilitate the implementation of the recommended asymptotic and bootstrapping methods. We illustrate the application of these methods with an example drawn from the Michigan Study of Adolescent Life Transitions, showing that the indirect effect of intrinsic student interest on mathematics performance through teacher perceptions of talent is moderated by student math self-concept.
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              An Index and Test of Linear Moderated Mediation.

              I describe a test of linear moderated mediation in path analysis based on an interval estimate of the parameter of a function linking the indirect effect to values of a moderator-a parameter that I call the index of moderated mediation. This test can be used for models that integrate moderation and mediation in which the relationship between the indirect effect and the moderator is estimated as linear, including many of the models described by Edwards and Lambert ( 2007 ) and Preacher, Rucker, and Hayes ( 2007 ) as well as extensions of these models to processes involving multiple mediators operating in parallel or in serial. Generalization of the method to latent variable models is straightforward. Three empirical examples describe the computation of the index and the test, and its implementation is illustrated using Mplus and the PROCESS macro for SPSS and SAS.
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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                Journal of Managerial Psychology
                JMP
                Emerald
                0268-3946
                January 12 2022
                March 15 2022
                January 12 2022
                March 15 2022
                : 37
                : 3
                : 224-242
                Article
                10.1108/JMP-03-2021-0119
                4b7b13ad-61b9-4cf4-96d6-30836101d9de
                © 2022

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