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      Does bad gossiping trigger for targets to hide knowledge in morally disengaged? New multi-level insights of team relational conflict

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      Journal of Knowledge Management
      Emerald

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          Abstract

          Purpose

          Despite the recent extending research on knowledge hiding, there is still scant research on social stressor phenomena-related contextual antecedent factors and new cognitive mechanisms of knowledge hiding behaviors. To shed new light on this unexplored gap, this research explores the multi-level moderated mediation model that examines how and when negative gossip experienced by targets in the workplace induces their knowledge hiding from coworkers drawing from the lens of social learning and cognitive theories. More specifically, this study aims to evaluate the relationship between negative workplace gossip and knowledge hiding via moral disengagement, and this mediation effect is also moderated by team relational conflict as a novel boundary condition.

          Design/methodology/approach

          This study collected multi-wave 338 employees’ data from 68 teams of cross-sectional industries in China, which were nested within teams. The collected nested nature data were analyzed by employing multi-level analysis based on hierarchical linear modeling.

          Findings

          The results suggested that negative workplace gossip first triggers moral disengagement and thereby, leads to knowledge hiding. Furthermore, the direct positive association between negative workplace gossip and moral disengagement was strengthened by increasing intra-team relational conflict. In addition, the mediation effect of moral disengagement between negative workplace gossip and knowledge hiding was also strengthened through increasing intra-team relational conflict.

          Originality/value

          This study first empirically examines the multi-level model using a new underlying mechanism (moral disengagement) and team-level boundary condition (relational conflict) and enriches the current literature on knowledge management and workplace gossip. Theoretical and practical implications of these findings and future research lines are also discussed, which will facilitate practitioners and academicians to curb counterproductive knowledge behavior.

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          Most cited references92

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          Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives

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            Development and validation of brief measures of positive and negative affect: The PANAS scales.

            In recent studies of the structure of affect, positive and negative affect have consistently emerged as two dominant and relatively independent dimensions. A number of mood scales have been created to measure these factors; however, many existing measures are inadequate, showing low reliability or poor convergent or discriminant validity. To fill the need for reliable and valid Positive Affect and Negative Affect scales that are also brief and easy to administer, we developed two 10-item mood scales that comprise the Positive and Negative Affect Schedule (PANAS). The scales are shown to be highly internally consistent, largely uncorrelated, and stable at appropriate levels over a 2-month time period. Normative data and factorial and external evidence of convergent and discriminant validity for the scales are also presented.
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              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

                Journal
                Journal of Knowledge Management
                JKM
                Emerald
                1367-3270
                1367-3270
                November 24 2021
                November 24 2021
                Article
                10.1108/JKM-08-2021-0609
                f6a69d8c-d058-43a7-ab7a-c91b6eb1169d
                © 2021

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