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has been cited by the following article:

• TITLE: Application of the SECI Model Using Web Tools to Support Diabetes Self-Management and Education in the Kingdom of Saudi Arabia

  AUTHORS: Saleh Almuayqil, Anthony S. Atkins, Bernadette Sharp

  KEYWORDS: SECI Model, Framework, Saudi Arabia, Diabetes Mellitus

  JOURNAL NAME: Intelligent Information Management, Vol.9 No.5, August 23, 2017

  ABSTRACT: The area of knowledge management, the SECI mode in particular, has great value in terms of enriching patients’ knowledge about their diseases and its complications. Despite its effectiveness, the application of knowledge management in the healthcare sector in the Kingdom of Saudi Arabia seems deficient, leading to insufficient practice of self-management and education of different prevalent diseases in the Kingdom. Moreover, the SECI model seems to be only focusing in the conversion of human knowledge and ignore knowledge stored in databases and other technological means. In this paper, we propose a framework to support diabetic patients and healthcare professionals in the Kingdom of Saudi Arabia to self-manage their disease. Data mining and the SECI model can provide effective mechanisms to support people with diabetes mellitus. The area of data mining has long been utilised to discover useful knowledge whereas the SECI model facilitates knowledge conversion between tacit and explicit knowledge among different individuals. The paper also investigates the possibilities of applying the model in the web environment and reviews the tools available in the internet that can apply the four modes of the SECI model. This review helps in providing a new median for knowledge management by addressing several cultural obstacles in the Kingdom.