Research on the training model of high-tech talents based on the support of public sector
- DOI
- 10.2991/msie-19.2020.57How to use a DOI?
- Keywords
- high-tech industry, coding bootcamps, Israel
- Abstract
Percentage of employees in Israel’s hi-tech industry rose to 8.7% by end of 2018, up from 8.3% at end of 2017, bringing number of hi-tech positions (not including the communications sector) to over 307,000 by mid-2019.The growth in hi-tech employment reflects the sector’s growing demand for employees in recent years and has been facilitated by a variety of government initiatives to increase the number of highly skilled workers in the field. This includes efforts by the Council for Higher Education to increase the number of students in STEM (Science, Technology, Engineering, Mathematics) studies and initiatives by the Israel Innovation Authority to diversify paths of entry into the hi-tech industry, including: Coding Bootcamp, which promotes advanced training in software and data science in non-academic settings; entrepreneurship tracks amongst the Arab sector, the ultra-Orthodox, and women; and other soon-to-be-launched programs[1]. The purpose of this study is to help policy makers effectively catalyze and utilize coding bootcamps to address the shortage of skilled labor in high-tech industries, based on the coding bootcamps program implemented by the Israel innovation authority.
- Copyright
- © 2020, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Cholu Kwon AU - Haijun Cao AU - Yongjae An PY - 2020/01 DA - 2020/01 TI - Research on the training model of high-tech talents based on the support of public sector BT - Proceedings of the 2019 International Conference on Management Science and Industrial Economy (MSIE 2019) PB - Atlantis Press SP - 275 EP - 280 SN - 2352-5428 UR - https://doi.org/10.2991/msie-19.2020.57 DO - 10.2991/msie-19.2020.57 ID - Kwon2020/01 ER -