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http://dx.doi.org/10.15813/kmr.2021.22.1.011

Exploration of Knowledge Hiding Research Trends Using Keyword Network Analysis  

Joo, Jaehong (Hanyang University, Educational Technology)
Song, Ji Hoon (Hanyang University, Educational Technology)
Publication Information
Knowledge Management Research / v.22, no.1, 2021 , pp. 217-242 More about this Journal
Abstract
The purpose of this study is to examine the research trends in the filed of individual knowledge hiding through keyword network analysis. As individuals intentionally hide their knowledge beyond not sharing their knowledge in organizations and the research on knowledge hiding steadily spreads, it is necessary to examine the research trends regarding knowledge hiding behaviors. For keyword network analyses, we collected 346 kinds of 578 keywords from 120 articles associated with knowledge hiding behaviors. We also transformed the keywords to 86 nodes and 667 links by data standardizing criteria and finally analyzed the keyword network among them. Moreover, this study scrutinized knowledge hiding trends by comparing the conceptual model for knowledge hiding based on literature review and the network structure based on keyword network analysis. As results, first, the network centrality degree, knowledge sharing, creativity, and performance was higher than others in Degree, Betweenness, Closeness centrality. Second, this study analyzed ego networks about psychological ownership and individual emotion theoretically associated with knowledge hiding and explored the relationship between variables through comparing with the conceptual model for knowledge hiding. Finally, the study suggested theoretical and practical implications and provided the limitations and suggestions for future research based on study findings.
Keywords
Knowledge hiding; Research trends; Network analysis; Ego network; Conceptual model;
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