Measuring Knowledge Management Readiness Using AHP Method and KMCSF Model
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Abstract
Knowledge is a very important asset for organizations. The successful implementation of KM (Knowledge Management) enables the organization to achieve its goals more effectively and efficiently. However, KM implementation is not easy, because the failure rate of KM projects reaches 70%. Failure is caused by factors that influence KM implementation. Efforts should be made to identify the readiness of organizational assets so that the organization can take preventive action by utilizing readiness information. The purpose of this research is to measure the level of readiness for the implementation of knowledge management in Mikroskil using the AHP (Analytical Hierarchy Process) method and the KMCSF model. Furthermore, it provides recommendations for increasing the level of readiness. Measurements were carried out on 6 respondents who were the leaders and data collection was carried out through a questionnaire. Then the questionnaire data was processed using AHP calculations with Microsoft Excel 2016 and Expert Choice V11. The result of this research concluded that the level of readiness for implementation of knowledge management is 62,58% or at level 4 (receptive) out of 5, which indicates that the KM process has provided benefits to the organization, the organization has its own rules, and standards, and is implemented efficiently. Where the results show that the greatest weight factor is the trust factor. This means that the trust factor is the most important and plays a big role in influencing the successful implementation of Knowledge Management, so the trust factor becomes the main priority factor.
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