Analysis of Knowledge Management Tool Using SECI Model and Big Data
VerifiedAdded on 2023/06/10
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AI Summary
This report provides an analysis of a knowledge management (KM) tool, focusing on its application of the Nonaka and Takeuchi's SECI model. The SECI model, which encompasses socialization, externalization, combination, and internalization, is used to evaluate how the chosen KM tool facilitates knowledge creation, capture, and sharing within an organization. The report also assesses the KM tool's potential to support Big Data, considering its ability to manage and leverage large volumes of information from various sources. The analysis includes a review of content management systems (CMS) and their features, such as format management, editing history, indexing, and retrieval. The discussion explores how the KM tool can be extended to handle big data, enabling organizations to extract valuable insights and patterns. The report concludes with a summary of the findings and highlights the importance of KM tools in modern business environments. The report is based on the assignment brief which asked to select a KM tool and analyse it based on SECI model and big data support.
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