Home

  Editors

  Ethics

  Submission

  Volumes

  Indexing

  Copyright

  Fees

  Subscription

  Publisher

  Support

  EPPM

Journal of Engineering, Project, and Production Management, 2017, 7(2), 80-89

 

Using Data Mining Techniques to Develop Knowledge Management in Organizations: A Review

 

 Bagher Dastyar1, Hanieh Kazemnejad2, Alireza Asgari Sereshgi3 and Mohammad Amin Jabalameli4

1MSc in Construction Engineering and Management, Department of Civil Engineering, Faculty of Engineering, Karaj Payam Noor University, Iran, Bagher.dastyar@Gmail.com (corresponding author).

2MSc in Construction Engineering and Management, Department of Civil Engineering, Faculty of Engineering, Karaj Payam Noor University, Iran, Kazemnejad69@Yahoo.com

3MSc in Construction Engineering and Management, Department of Civil Engineering, Faculty of Engineering, Karaj Payam Noor University, Iran, Asgari.alireza@Mail.com

4MSc in Construction Engineering and Management, Department of Civil Engineering, Faculty of Engineering, Mehralborz Institute of Higher Education, Tehran, Iran, Aminmj@yahoo.com

 

Project Management

 

Received December 4, 2016; received revision February 25, 2017; accepted March 17, 2017

 

Available online April 7, 2017

 

Abstract: 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.

 

Keywords: Information technology, knowledge management, data mining, data mining techniques.

Copyright © Journal of Engineering, Project, and Production Management (EPPM-Journal).

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 Unported License.

Requests for reprints and permissions at eppm.journal@gmail.com.

Citation: Dastyar, B., Kazemnejad, H., Sereshgi, A. A., and Jabalameli, M. A. (2017). Using Data Mining Techniques to Develop Knowledge Management in Organizations: A Review. Journal of Engineering, Project, and Production Management, 7(2), 80-89.

DOI: 10.32738/JEPPM.201707.0004

Full text

 


Copyright © EPPM-Journal. All rights reserved.