Public service motivation, context and knowledge hiding behavior in public organizations

Purpose Public sector organizations are mainly knowledge-intensive organizations where effective knowledge management is required for organizational effectiveness. Despite public managers’ efforts to encourage employees to share knowledge, knowledge hiding has become a phenomenon in many organizations. This article proposes and empirically tests a model of knowledge hiding behavior in public organizations. Design/methodology/approach Relationships among public service motivation (PSM), internal organizational context, knowledge hiding behavior and employee extra-role behavior, individual creativity, job satisfaction and turnover intention were examined based on a two-wave field study of 220 employees in four public organizations in China. Structural equation modeling was used to test the conceptual model of the study. Findings Results show that PSM and knowledge sharing culture are negatively while formalization and centralization are positively associated with employees’ knowledge hiding behavior. Knowledge hiding, in turn, significantly predicts employees’ extra-role behavior, job satisfaction and employee creativity. Originality/value By integrating both individual and organizational factors, this study offers a general perspective on knowledge hiding research in general and more particularly, helps to understand the factors that increase or limit knowledge hiding behavior in public organizations.

Authors

Institutions

Publication Details

Journal
Evidence-based HRM a Global Forum for Empirical Scholarship
Published
2025-12-03
DOI
https://doi.org/10.1108/ebhrm-09-2024-0321
Primary Topic
Knowledge Management and Sharing
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Public service motivation, context and knowledge hiding behavior in public organizations

Ahmad Bayiz Ahmad
Evidence-based HRM a Global Forum for Empirical Scholarship
Knowledge Management and Sharing
article

Public service motivation, context and knowledge hiding behavior in public organizations

Ahmad Bayiz Ahmad
article en

Abstract

Purpose Public sector organizations are mainly knowledge-intensive organizations where effective knowledge management is required for organizational effectiveness. Despite public managers’ efforts to encourage employees to share knowledge, knowledge hiding has become a phenomenon in many organizations. This article proposes and empirically tests a model of knowledge hiding behavior in public organizations. Design/methodology/approach Relationships among public service motivation (PSM), internal organizational context, knowledge hiding behavior and employee extra-role behavior, individual creativity, job satisfaction and turnover intention were examined based on a two-wave field study of 220 employees in four public organizations in China. Structural equation modeling was used to test the conceptual model of the study. Findings Results show that PSM and knowledge sharing culture are negatively while formalization and centralization are positively associated with employees’ knowledge hiding behavior. Knowledge hiding, in turn, significantly predicts employees’ extra-role behavior, job satisfaction and employee creativity. Originality/value By integrating both individual and organizational factors, this study offers a general perspective on knowledge hiding research in general and more particularly, helps to understand the factors that increase or limit knowledge hiding behavior in public organizations.

Evidence-based HRM a Global Forum for Empirical Scholarship
University of Raparin (IQ), University of Kurdistan Hewler (IQ)
Openalex Percentile: Top 57%
Knowledge Management and Sharing
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.