This study investigates knowledge hiding (KH), a growing research area of increasing importance across multiple organisational levels. The rapid expansion of KH research runs the risk that existing knowledge is not accumulated but constantly re-invented. Therefore, this study aims to enhance our understanding by systematically reviewing the antecedents, boundary conditions and outcomes of KH. We develop a thematic mapping of 173 papers, identifying key antecedents, boundary conditions and outcomes of KH alongside emerging knowledge gaps and pertinent research questions. Leveraging these insights, we construct a multi-level framework that categorises KH at the micro, meso and macro levels, integrat ing findings from our thematic analysis. This study provides a consolidated view of KH literature and is a valuable guide for scholars seeking to advance this domain.

PAGES
233 – 264
DOI
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Issues
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Automated plagiarism
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Generative artificial intelligence in qualitative analysis: a critical examination of tools, trust and rigor
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‘Foreignize yourself’. What has translation to do with innovation? A translation studies approach to hybrid innovation
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From tools to symbols: exploring the complex nexus of smartphones in Bangladesh
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Impoverishing peer review