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http://dx.doi.org/10.14400/JDC.2019.17.1.001

Employment Trends in the Fourth industrial Revolution Era : Analysis of Hiring Trends of Autonomous Automobile Industry Related Companies  

Hu, Sungho (Chung-Ang Philosophical Studies, Chung-Ang University)
Chang, Hyeyoung (Department of Political Science and International Relations, Chung-Ang University)
Publication Information
Journal of Digital Convergence / v.17, no.1, 2019 , pp. 1-8 More about this Journal
Abstract
The purpose of this study is to analyze the employment trends of autonomous automobile industry which is related to the 4th Industrial Revolution. Previously, big data of the employment trends were divided into skill field and task field. As a result, if a company was employed in the field of skill field, it was required to have talent in which personality traits and innovation traits were prominent. Second, if the task field is a production worker, it is desirable to have talented person with outstanding personality traits. In addition, if the task field is management, it has been confirmed that communication qualities require outstanding talent. The results of this study suggest that it is possible to use the data as a basic data for finding an effective employment strategy by identifying the characteristics of the talented person and considering the suitability of the tendency of hiring.
Keywords
Employment trend; Autonomous driving car; Big data; Fourth industrial revolution; Talented human resource;
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1 M., Brusco & D. Steinley (2011). A tabu-search heuristic for deterministic two-mode blockmodeling of binary network matrices. Psychometrika, 76(4), 612-633.   DOI
2 A. Gandomi & M. Haider. (2015). Beyond the hype: Big data concepts, methods, and analytics. International Journal of Information Management, 35(2), 137-144.   DOI
3 M. Kantardzic. (2011). Data mining: concepts, models, methods, and algorithms. John Wiley & Sons.
4 R. J. Roiger. (2017). Data mining: a tutorial-based primer. Chapman and Hall/CRC.
5 H. C. Park. (2017). A Study on the Relative Mutual Information Measures in a Viewpoint of Association Rule. Journal of the Korean Data Analysis Society, 19(3), 1327-1336.   DOI
6 J. Scott. (2017). Social network analysis. Sage.
7 M. Hermann, T. Pentek & B. Otto. (2016). Design principles for industrie 4.0 scenarios. In System Sciences (HICSS), 2016 49th Hawaii International Conference on (pp. 3928-3937). IEEE.
8 C. Wallace & G. Chen. (2006). A multilevel integration of personality, climate, self-regulation, and performance. Personnel Psychology, 59(3), 529-557.   DOI
9 K. Sisson & J. Storey. (2000). Realities of Human Resource Management: Managing the Employment Relationship. McGraw-Hill Education (UK).
10 R. W. Lee, S. Hu, J. Y. Park & H. S. Lee. (2017). Analysis of the Effect of Lifelong Learning Motivation on Lifelong Learning Competency: Focusing on the Mediation Effect of Empowerment. Journal of the Korean Data Analysis Society, 19(2), 931-943.   DOI
11 P. N. Krivitsky, M. S. Handcock, A. E. Raftery & P. D. Hoff. (2009). Representing degree distributions, clustering, and homophily in social networks with latent cluster random effects models. Social networks, 31(3), 204-213.   DOI
12 Ministry of Employment and Labor. (2018). Labor Force Survey by Business Type in the first half of 2018.
13 K. Lee. (2015). Seeking direction of youth employment policy. Labor Review, 124, 15-30.
14 S. Hong. (2018). Private information protection method and countermeasures in Big-data environment : Survey. Journal of the Korea Convergence Society, 9(10), 55-59.   DOI
15 K. L. Choi & B. Kim. (2013). A Study on the Relationship between Job Transition and Personal Attributes using Multiple Logit Model. Journal of the Korean Data Analysis Society, 15(2), 799-812.
16 S. Hu, T. Y. Jung & Y. R. Cha. (2009). An Analysis on The Effects of Corporate Image, Harmful Items Relevance And Sponsorship Purpose on Sponsorship Effectiveness. Journal of the Korean Data Analysis Society, 11(4), 2147-2164.
17 T. D. Jick. (1979). Mixing qualitative and quantitative methods: Triangulation in action. Administrative science quarterly, 24(4), 602-611.   DOI
18 S. P. Borgatti & M. G. Everett. (1997). Network analysis of 2-mode data. Social networks, 19(3), 243-269.   DOI
19 G. S. Linoff & M. J. Berry. (2011). Data mining techniques: for marketing, sales, and customer relationship management. John Wiley & Sons.
20 C. C. Clogg & J. W. Shockey. (1984). Mismatch between occupation and schooling: A prevalence measure, recent trends and demographic analysis. Demography, 21(2), 235-257.   DOI
21 X. Wu, X. Zhu, G. Q. Wu & W. Ding. (2014). Data mining with big data. IEEE transactions on knowledge and data engineering, 26(1), 97-107.   DOI
22 B. H. Erickson. (2017). Good networks and good jobs: The value of social capital to employers and employees. In Social capital (pp. 127-158). Routledge.
23 P. B. Cragg & M. King. (1993). Small-firm computing: motivators and inhibitors. MIS quarterly, 17(1), 47-60.   DOI
24 H. Kwon & H. Yoo. (2011). School to Work Transition of Youth in Korea: the Characteristics and Policy Implications. Social Welfare Policy, 38(1), 1-31.
25 H. Joo & H. Joo. (2017). A Study on the Types and Characteristics of Unemployed Youth in Korea: Focusing on the Youth Panel Survey. Journal of Korea Human Resources Administration, 16(2), 51-73.
26 S. Kim, H. Yoo & G. S. Han. (2013). Study For the Effectiveness of University's Recruitment Support System. Journal of the Korean Data Analysis Society, 15(6), 3077-3086.
27 J. Keum. (2007). The Youth Unemployment in Korea: Facts and Policy Implications. Journal of Social Science, 9, 27-54.
28 S. Park & J. Ban. (2007). The Cause and Labor Market Effects of Overeducation in Korea . The Korean Social Security Association, 23(4), 1-28.
29 J. Nam, J. Seong & B. Kim. (2014). Recent employment trend analysis. Labor Review, 110, 55-66.
30 B. Sung & Y. You. (2018). Analysis of Vocational Training Needs Using Big Data Technique. Journal of the Korea Convergence Society, 9(5), 21-26.   DOI
31 J. J. Castillod. (2016). Teamwork in the Automobile Industry: Radical Change or Passing Fashion?. Springer.
32 Y. Jae. (2017). 4th Industrial Revolution. ICCC International Digital Design Invitation Exhibition, 112-112.
33 Statistics Korea. (2018). July 2018 Employment Trends.