Fuzzy Analysis of Knowledge Management
Background & Aim: Knowledge Management (KM) is widely known as a critical issue in offices, factories and organizations. The present study intends to predict the success or failure of KM implementation in the automotive industry. Methods & Materials: we have tried to analyze and predict the...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Tehran University of Medical Sciences
2019-03-01
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| Series: | Journal of Biostatistics and Epidemiology |
| Subjects: | |
| Online Access: | https://jbe.tums.ac.ir/index.php/jbe/article/view/233 |
| Summary: | Background & Aim: Knowledge Management (KM) is widely known as a critical issue in offices, factories and organizations. The present study intends to predict the success or failure of KM implementation in the automotive industry.
Methods & Materials: we have tried to analyze and predict the degree to which how successfully we can implement KM in the automotive industry using fuzzy inference method (FIS). In this regard, after data collection, and employed FIS software to analyze our results.
Results: As our results show, the projected level for the implementation of KM in Iran Khodro was about 58%. Given that this study was conducted in five different, but related parts in Iran Khodro as well as these five sectors were less similar in terms of structure, individual and usage of technology, we should not expect similar results about the rate of implementing knowledge management.
Conclusion: Our results would be important and interesting, because they will provide the basis for how successfully establish KM in the automotive industry and similar organizations in order to improve the efficiency and productivity in organizations. |
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| ISSN: | 2383-4196 2383-420X |