Journal of Information Technology Applications and Management

  • 제23권3호
  • /
  • Pages.13-23
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  • 2016
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  • 1598-6284(pISSN)
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  • 2508-1209(eISSN)
한국데이터전략학회 (Korea Data Strategy Society)
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Optimizing Employment and Learning System Using Big Data and Knowledge Management Based on Deduction Graph

  • Vishkaei, Behzad Maleki (Department of Industrial engineering, Mazandaran University of science and technology) ;
  • Mahdavi, Iraj (Department of Industrial engineering, Mazandaran University of science and technology) ;
  • Mahdavi-Amiri, Nezam (Department of Mathematical Sciences, Sharif University of Technology) ;
  • Askari, Masoud (Department of Industrial engineering, Mazandaran University of science and technology)
  • 투고 : 2016.06.22
  • 심사 : 2016.07.22
  • 발행 : 2016.09.30
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초록

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.

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