Building a Knowledge Model: The Case of Ethiopian Revenue and Customs Authori
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Date
2015-10
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Addis Ababa University
Abstract
Knowledge is one of the essential resources for organizations to run their business and gain competitive advantage. Thus, many organizations have been forced to rethink the way they manage their knowledge resource and therefore the need for knowledge management. Knowledge management provides processes and technologies to identify, create, represent, and distribute knowledge for reuse, awareness, and learning across the organizations
Ethiopian Revenue and Customs Authority (ERCA) is entitled for collecting revenue from customs duties and domestic taxes, protecting the security and safety of citizens. It is responsible to increasing competitiveness of the country through efficient, targeted controls and legitimate trade facilitation. However, ERCA loses its knowledge through high employee turnover. To address this challenge in ERCA, this research built a knowledge model for the implementation of knowledge management system for import customs clearance directorate. The model reduces the knowledge losses due to high employee turnover and enhances the knowledge managements and uses of the import customs clearance procedure.
The research used design science research methodology to build the knowledge model and develop the prototype knowledge management system. Data were collected using interview and document analysis methods and decision-making method was applied for data analysis. Unified Modeling Language (UML) was used as a modeling language. Evaluation was conducted using human expert (interview with customs clearance experts) evaluation methods to evaluate the effectiveness of the knowledge model.
The findings of this research offers knowledge model, knowledge content and the relationship of different knowledge, of the import customs clearance. The research provides a better understanding of how the knowledge model supports the knowledge management process and implementation in import customs clearance business processes of customs administration organization. The research also offered a solid foundation for future research studies with development and implementation of successful knowledge management systems in customs administration organizations.
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Building a Knowledge Model