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      Unraveling the black box : The linkage between high-performance work systems and employee outcomes

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      Employee Relations
      Emerald

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          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Purpose

          The purpose of this paper is to investigate the potential mediators that operate in the black box between high-performance work systems (HPWS) and employee outcomes.

          Design/methodology/approach

          The relationships the authors developed were assessed via data obtained from a time-lagged sample of customer-contact employees and their direct supervisors in the Romanian hotel industry. The study employed bias-corrected bootstrapping analysis to gauge the mediating effects.

          Findings

          The findings reveal that psychological capital mediates the impact of HPWS on work engagement. As hypothesized, both psychological capital and work engagement mediate the impact of HPWS on quitting intentions, creative performance and extra-role performance. In short, the findings underscore both psychological capital and work engagement as the two mediators that operate in the black box between HPWS and the aforesaid employee outcomes. In addition, the empirical data support the impact of work engagement in the intermediate linkage between psychological capital and these outcomes.

          Originality/value

          The study enhances current knowledge on HPWS by examining the potential mediators between HPWS and motivational outcomes and job outcomes.

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          Most cited references60

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          Evaluating Structural Equation Models with Unobservable Variables and Measurement Error

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            Structural equation modeling in practice: A review and recommended two-step approach.

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              • Article: not found

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

              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.
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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                Employee Relations
                ER
                Emerald
                0142-5455
                January 07 2019
                January 07 2019
                : 41
                : 1
                : 67-83
                Article
                10.1108/ER-04-2017-0084
                06d6785a-1972-4063-beaf-f7773527867f
                © 2019

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