文章詳目資料

Journal of Engineering, Project, and Production Management

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篇名 Using Data Mining Techniques to Develop Knowledge Management in Organizations: A Review
卷期 7:2
作者 Bagher DastyarHanieh KazemnejadAlireza Asgari SereshgiMohammad Amin Jabalameli
頁次 080-089
關鍵字 Information technologyknowledge managementdata miningdata mining techniques
出刊日期 201707

中文摘要

英文摘要

Nowadays, according to the growth of information and communication technology in society as well as the development of technologies related to data, information and knowledge, many organizations consider the importance of knowledge and ways of its acquisition, production, storage and transfer to create competitive advantage, success, and organizational survival. Measuring the position of organizational knowledge in the value chain of strategy-focused organizations is carried out through knowledge management process. This process involves the use of data and converting them into knowledge. Thus, tools such as data mining techniques are used to extract knowledge from databases. Therefore, data mining is used as a tool for the development of knowledge. Data mining is also one of the efficient tools to analyze and explore massive amounts of data in application areas. Since the current research is along with previous researches and in the same direction with its conclusion, they are generally based on library studies and questionnaire-based survey, therefore this study investigates the use of data mining techniques to develop knowledge management in organizations using library studies and review articles related to the topic. In addition, this study describes the knowledge management process and the use of data mining for the development of organizational knowledge.

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