Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

A Study of Strengthening the DNA Business as well as Priorities of Policies in the Case of South Korea

Version 1 : Received: 10 February 2021 / Approved: 11 February 2021 / Online: 11 February 2021 (13:11:30 CET)

How to cite: Kim, Y.; Kwak, J. A Study of Strengthening the DNA Business as well as Priorities of Policies in the Case of South Korea. Preprints 2021, 2021020284. https://doi.org/10.20944/preprints202102.0284.v1 Kim, Y.; Kwak, J. A Study of Strengthening the DNA Business as well as Priorities of Policies in the Case of South Korea. Preprints 2021, 2021020284. https://doi.org/10.20944/preprints202102.0284.v1

Abstract

Recently, with the rapid advancement of the 4th Industrial Revolution, there has been a continuous outlook that Data (D), Network (N), and Artificial Intelligence (A) should be heavily utilized as resources in light of new value. South Korea is preparing policy training plans the likes of 5G network enhancement, AI manpower training, and data openings, etc., recognizing DNA technology as the key driving force behind the 4th Industrial Revolution and 5G network enhancement, AI manpower training, and data opening, etc. However, there is a criticism that the DNA industry remains in an early stage. Despite policy support within South Korea, the DNA industry has not been revitalized due to various causes, and in particular, not being concentrated on limited resources selectively is also pointed to as an important cause. this study would quantitatively draw the priority of policy measures as well as propose policy implications for the revitalization of the DNA industry by means of the ISM-ANP model. It is judged that South Korea’s experience in this way will be an important lesson for other countries which would politically promote the DNA industry as a new growth engine within the 4th Industrial Revolution environment.

Keywords

Data; Network; Artificial Intelligence; Interpretive Structural Modeling; Brainstorming; Analytic Network Process

Subject

Social Sciences, Political Science

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