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      Workplace Ostracism and Knowledge Hiding: The Mediating Role of Job Tension

      , ,
      Sustainability
      MDPI AG

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          Abstract

          This study examined the impact of workplace ostracism on employees’ knowledge hiding behavior. Based on the conservation of resource theory, this study seeks to identify the effects of job tension as a mediator and the moderating effect of employee loyalty. Using a time-lagged research design, we collected the data from 392 employees of the textile industry. Results indicate that workplace ostracism positively influences the knowledge hiding behavior such as evasive hiding and playing dumb, whereas it is not significantly related with rationalized hiding. More specifically, workplace ostracism increases the feeling of job tension, while job tension mediates the relationship between workplace ostracism and knowledge hiding. In addition, we found that workplace ostracism demolished the benefits of employee loyalty, as high workplace ostracism more strongly influences the feeling of job tension. We also discussed the theoretical and practical implications.

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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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              On the evaluation of structural equation models

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                Author and article information

                Contributors
                Journal
                SUSTDE
                Sustainability
                Sustainability
                MDPI AG
                2071-1050
                October 2019
                October 09 2019
                : 11
                : 20
                : 5547
                Article
                10.3390/su11205547
                603055db-1abe-45be-8e28-fb7a73119657
                © 2019

                https://creativecommons.org/licenses/by/4.0/

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