Knowledge Sharing in Public Sector Organizations
The Effect of Organizational Characteristics on Interdepartmental Knowledge Sharing
Dados Bibliográficos
| ID | 6295502 |
|---|---|
| Autores | Annick Willems (0000-0003-3753-2919, Ghent University Hospital), A Willem, Marc Buelens (Ghent University) |
| Ano | 2006 |
| Volume | 17 |
| Fascículo | 4 |
| Páginas | 581-606 |
| Data de publicação | 2006-12-20 |
| Peer Reviewed | Sim |
| Open Access | Não |
| Tipo | ARTICLE |
| Periódico | Journal of Public Administration Research and Theory (JOURNAL) |
| Identificadores do periódico | ISSN: 1053-1858 • E-ISSN: 1477-9803 |
| Editora | Oxford University Press (OUP) (PUBLISHER) |
| DOI | 10.1093/jopart/mul021 |
| OpenAlex | W2128175225 |
| Idioma | EN |
| Citações recebidas | 47 |
| Referências citadas | 12 |
Public sector organizations are mainly knowledge-intensive organizations, and to exploit their knowledge, effective knowledge sharing among the different departments is required. We focus on specific characteristics of public sector organizations that increase or limit interdepartmental knowledge sharing. Three types of organization-specific coordination mechanisms directly influence knowledge sharing between departments. Organizations are also characterized by members' social identification and trust, which in the absence of power games are assumed to create a knowledge-sharing context. Data are collected by a questionnaire survey in the public sector. The sample consists of 358 cooperative episodes between departments in more than 90 different public sector organizations. Structural equation modeling reveals the importance of lateral coordination and trust. The combination of power games and informal coordination seems to be remarkably beneficial for knowledge sharing. Furthermore, compared with other public sector organizations, government institutions have organizational characteristics that are less beneficial for knowledge sharing
Business · Context (archaeology · Exploit · Government (linguistics · Knowledge management · Knowledge sharing · Organizational learning · Political science · Public relations · Public sector · Structural equation modeling · Computer Science · E-Government and Public Services · Knowledge Management and Sharing · Social Capital and Networks
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| Obras citantes distintas | 47 |
|---|---|
| Citações por ano | 2,94 |
| Intervalo de citações | 2010 - 2026 (17) |
| Velocidade de citação | current |
| Altamente citado | Não |
| Tipos de citação | Neutras: 47 |