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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Personnel Psychologyarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Personnel Psychology
Article . 2023 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
Open Science Framework
Other literature type . 2022
License: CC BY
Data sources: Datacite
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A meta‐analysis of the nomological network of knowledge hiding in organizations

Authors: Ghulam Ali Arain; Zeeshan Ahmed Bhatti; Imran Hameed; Abdul Karim Khan; Cort W. Rudolph;

A meta‐analysis of the nomological network of knowledge hiding in organizations

Abstract

AbstractOver the past two decades, knowledge hiding has rapidly emerged as an important research stream in organizational behavior and knowledge management literature. However, our understanding of this phenomenon is limited, because of a lack of synthesis across the nomological network of knowledge hiding and its related constructs. Therefore, we present the first comprehensive meta‐analysis (k = 104 studies, representing N = 31,822 employees) of the nomological network of knowledge hiding. We examined twenty‐five antecedents and seven outcomes of knowledge hiding along with its three dimensions (i.e., evasive hiding, playing dumb, and rationalized hiding). We also examined the distinctiveness between knowledge hiding and knowledge sharing as well as among evasive hiding, playing dumb, and rationalized hiding dimensions of knowledge hiding to establish their relative contribution to the nomological network of knowledge hiding. Additionally, we conducted exploratory analyses considering the association between demographics and knowledge hiding and the moderating effects of demographic, methodological, and industrial settings. Overall, we present the first meta‐analytic study that not only summarizes the extensive body of empirical knowledge hiding literature but also follows contemporary meta‐analytic methods and best practices to produce scientific findings that are transparent and reproducible. Our results likewise contribute to theorizing on knowledge hiding and offer practical implications and actionable directions for future research on knowledge hiding.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
83
Top 1%
Top 10%
Top 1%
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