Review of Relations between Knowledge Management Subsystem and Institutional Intelligence Components in the Learning Organization
The purpose of this research is to review the relation between knowledge management subsystem in the learning organization and institutional intelligence and its components in Tabriz Petrochemistry. The research method is correlation-descriptive. The sample consists of 172 employees in occupational...
| Main Authors: | , |
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| Format: | Article |
| Language: | fas |
| Published: |
Islamic Azad University, Tabriz Branch
2011-12-01
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| Series: | مدیریت بهره وری |
| Subjects: | |
| Online Access: | http://jpm.iaut.ac.ir/article_519374_cc2a552cd84c2d9d9aea5b2735ca5c60.pdf |
| Summary: | The purpose of this research is to review the relation between knowledge management subsystem in the learning organization and institutional intelligence and its components in Tabriz Petrochemistry. The research method is correlation-descriptive. The sample consists of 172 employees in occupational levels of expertise and master of Tabriz Petrochemistry, selected randomly. The research tools include Marquart knowledge management questionnaire with kronbach alpha coefficient of 0.901, Albercht institutional intelligence questionnaire with kronbach alpha coefficient of 0.968, and demographic characteristics questionnaire. The results of research showed that, based on Pearson correlation coefficient, in addition to the meaningful and positive relation between knowledge management subsystem and institutional intelligence (correlation coefficient 0.782 and p<0.01), there is a positive and meaningful relation between knowledge management subsystem and all institutional intelligence components. The correlation coefficients have been meaningful from 0.484 for strategic point of view to 0.727 for common fate at level P<0.01. Finally, the results of step by step regression analysis showed that among the components of institutional intelligence, the common fate, knowledge utilization, integration and agreement are able to predict significantly the knowledge management subsystem in the learning agency. |
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| ISSN: | 2716-9979 2476-7298 |