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http://dx.doi.org/10.20465/KIOTS.2020.6.3.021

Seeking an Approach to Youth Job Search Allowance Support Project using IoT in the Untact Era  

Lee, Sangho (Dept. of Smart Business, Mokpo National University)
Cho, Kwangmoon (Dept. of Electronic Commerce, Mokpo National University)
Publication Information
Journal of Internet of Things and Convergence / v.6, no.3, 2020 , pp. 21-30 More about this Journal
Abstract
The purpose of this paper is to verify the differences of the effect of the support between the number of employment of those who have experienced employment and the unemployment period of those who have not experienced employment for the participants of the Jeollanam-do Youth Job Search Allowance Support Project. In addition, this study attempted to find out the ways to develop the system using the Internet of Things by figure out how to use the allowance, the field of help, the average investment time per day, the average monthly expenditure, the difficulties of job search activities, and the differences in the youth job search activities for the required programs. In this study, 602 people who participated in the Jeollanam-do Youth Job Search Allowance Support Project from February 19 to March 9, 2020 are surveyed. The collected data was processed using the SPSS 21.0 program. The research results are as follows. First, there was a difference in satisfaction according to the number of jobs employed. Second, there was a difference in the effectiveness according to the number of employment. Third, there was a difference in satisfaction according to the period of unemployment. Fourth, there was a difference in effectiveness according to the period of unemployment. In order to enhance the effectiveness of the youth job search allowance support project, the Edutech industry and technology that can share various information using the Internet of Things environment in the untact era must be improved together.
Keywords
Untact Era; Youth Job Search Allowance; Satisfaction; Effectiveness; Employment;
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Times Cited By KSCI : 8  (Citation Analysis)
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