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Convergence Study on Model of Job Design Support Platform Using Big data and AI
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  • Journal title : Journal of Digital Convergence
  • Volume 14, Issue 7,  2016, pp.167-174
  • Publisher : The Society of Digital Policy and Management
  • DOI : 10.14400/JDC.2016.14.7.167
 Title & Authors
Convergence Study on Model of Job Design Support Platform Using Big data and AI
Noh, Kyoo-Sung; Lee, Joo-Yeoun;
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 Abstract
The university and college turn into the field of job readiness to get a good job and students build a lot of job specification than others and are constantly studying for employment. Then since employment, some people are fortunate to keep the job for lifetime, but for many people work in the workplace did not meet his aptitude with patience and some people move for work several times without perseverance. One of the reasons for job dissatisfaction is that the job does not fit his aptitude. Meantime many organizations conducted the aptitude(Psychology) test. There are limits, however, to find a suitable job. This study was presented as a model of a platform that is a rational and scientific alternative to search course and job. This model is to better understand the individual characteristics using Big data and artificial intelligence, offers several jobs to meet the characteristics among the various professions selectively and supports to select and design an appropriate job based on the field experience, consulting and mentoring.
 Keywords
Big data;AI(Aartificial Intelligence);Job Design;Platform;Aptitude(Psychology) test;
 Language
Korean
 Cited by
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