Earticle

초록

영어

In recent years, big data has usefully been deployed by organizations with the aim of getting a better prediction for the future. Moreover, knowledge management systems are being used by organizations to identify and create knowledge. Here, the output from analysis of big data and a knowledge management system are used to develop a new model with the goal of minimizing the cost of implementing new recognized processes including staff training, transferring and employment costs. Strategies are proposed from big data analysis and new processes are defined accordingly. The company requires various skills to execute the proposed processes. Organization’s current experts and their skills are known through a pre-established knowledge management system. After a gap analysis, managers can make decisions about the expert arrangement, training programs and employment to bridge the gap and accomplish their goals. Finally, deduction graph is used to analyze the model.

목차

Abstract
 1. Introduction
 2. Model Description
 3. A Numerical Example
 4. Conclusion
 References

키워드

저자

• Behzad Maleki Vishkaei [ Department of Industrial engineering, Mazandaran University of science and technology, Babol, Iran ]
• Iraj Mahdavi [ Department of Industrial engineering, Mazandaran University of science and technology, Babol, Iran ]
• Nezam Mahdavi-Amiri [ Department of Mathematical Sciences, Sharif University of Technology, Tehran, Iran ]
• Masoud Askari [ Department of Industrial engineering, Mazandaran University of science and technology, Babol, Iran ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  JITAM [Journal of Information Technology Applications and Management]

• 간기

  격월간

• pISSN

  1598-6284

• eISSN

  2508-1209

• 수록기간

  1999~2026

• 십진분류

  KDC 005 DDC 005