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- Title
Factors Affecting on the Deployments of Knowledge Management in Teaching Hospitals Affiliated to Qom University of Medical Sciences, Iran.
- Authors
Rahbar, Ahmad; Nasiripour, Amir Ashkan; Majdabadi, Mahmood Mahmoodi
- Abstract
Background & Aims of the Study: In a competitive world, knowledge management is a major task for the organization. This study was carrying out to recognize the essential factors for deployment of knowledge management in teaching hospitals affiliated to Qom University of Medical Sciences (QUMS), Iran. Materials and Methods: This descriptive-correlational study was operated on 570 employees of teaching hospitals of QUMS in 2017. A researcher-made questionnaire was expanded. Its validity was confirmed by specialist and also reliability was confirmed by Cronbach's alpha ratio. Data were analyzed by Kolmogorov-Smirnov test, Spearman correlation ratio and multiplex regression. Results: The outcome showed that the average score of knowledge management in teaching hospitals was moderate (3.35). Spearman correlation coefficient showed there is affirmative and significant relation between strategy and policies, staff motivation, learning culture, top management support& decentralization with the deployments of knowledge management. Multiple regressions showed there is a lineal relation between independent variables and dependent variable. Multiple regression ratio (R=0.799) and the coefficient of determination (R² =0.0607) and adjusted coefficient (R²adj=0.602) in the level of 0,05 are significant. Conclusion: The outcome of this survey, demonstrate that knowledge management has a relatively favorable status. Therefore, top manager's support of knowledge-based strategies and increasing member participation in resolve making and the presence of staff in workshops can help to deployments of knowledge management.
- Subjects
IRAN; ACADEMIC medical centers; STATISTICAL correlation; EMPLOYEE attitudes; RESEARCH methodology; QUESTIONNAIRES; SCALE analysis (Psychology); STATISTICS; SURVEYS; UNIVERSITIES &; colleges; KNOWLEDGE management; DATA analysis; MULTIPLE regression analysis; DATA analysis software; DESCRIPTIVE statistics
- Publication
Archives of Hygiene Sciences, 2018, Vol 7, Issue 3, p183
- ISSN
2251-9203
- Publication type
Article
- DOI
10.29252/archhygsci.7.3.183