Knowledge Sharing in a Third‐Party‐Governed Health and Human Services Network
Datos Bibliográficos
| ID | 6364138 |
|---|---|
| Autores | Kun Huang (0000-0002-0313-1212, University of New Mexico, autor de correspondencia) |
| Año | 2014 |
| Volumen | 74 |
| Número | 5 |
| Páginas | 587-598 |
| Fecha de publicación | 2014-07-10 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Public Administration Review (JOURNAL) |
| Identificadores de la revista | ISSN: 0033-3352 • E-ISSN: 1540-6210 |
| Editorial | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/puar.12222 |
| OpenAlex | W1986147192 |
| Idioma | EN |
| Citas recibidas | 25 |
| Referencias citadas | 71 |
The rapid growth of knowledge in disease diagnosis and treatment requires health service provider organizations to continuously learn and update their practices. However, little is known about knowledge sharing in service implementation networks governed by a network administrative organization (NAO). The author suggests that strong ties enhance knowledge sharing and that there is a contingent effect of third‐party ties. Two provider agencies’ common ties with the NAO may undermine knowledge sharing because of resource competition. In contrast, a dyad's common ties with a peer agency may boost knowledge sharing as a result of social cohesion. Finally, the author posits that third‐party ties moderate the relationship between strong ties and knowledge sharing. These hypotheses are examined in a mental health network. Quantitative network analysis confirms the strong tie and third‐party tie hypotheses and provides partial support for the moderating effect of third‐party ties. The implications for public management, including the implementation of HealthCare.gov, are discussed
Agency (philosophy · Business · Cohesion (chemistry · Competition (biology · Dyad · Economic growth · Economics · Health care · Internet privacy · Interpersonal ties · Knowledge management · Knowledge sharing · Political science · Public relations · Sociology · Strong ties · Third party · Computer Science · Healthcare Systems and Technology · Psychology · Public Policy and Administration Research · Social Capital and Networks · Social Psychology
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| Obras citantes distintas | 25 |
|---|---|
| Citas por año | 2,08 |
| Intervalo de citas | 2014 - 2025 (12) |
| Velocidad de citación | recent |
| Altamente citado | No |
| Tipos de cita | Neutras: 24 |