earticle

논문검색

Optimizing Employment and Learning System Using Big Data and Knowledge Management Based on Deduction Graph

원문정보

Behzad Maleki Vishkaei, Iraj Mahdavi, Nezam Mahdavi-Amiri, Masoud Askari

피인용수 : 0(자료제공 : 네이버학술정보)

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

저자정보

  • 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

자료제공 : 네이버학술정보

    함께 이용한 논문

      ※ 기관로그인 시 무료 이용이 가능합니다.

      • 4,200원

      0개의 논문이 장바구니에 담겼습니다.