A case study on the improvement of institution of 'High-Risk High-Return R&D' in Korea

Autor: Byung Yong Hwang, Hee Ju Jun, Mee Hyang Chang, Dae Cheol Kim

Publikováno v: Journal of Open Innovation: Technology, Market and Complexity, Vol 3, Iss 3, p 19 (2017)

Despite the increase of government spending on R&D in South Korea, there have been limits in enhancing the challenging trait and creativity of research outcomes. A new approach to the current mode of R&D is considered necessary to tackle this problem

Externí odkaz: https://doaj.org/article/de84380d562f486ea328fea7abdbe6fa

Big Data Analytics in Government: Improving Decision Making for R&D Investment in Korean SMEs

Autor: Jeongeun Byun, Eun Sun Kim, Yunjeong Choi

Publikováno v: Sustainability, Vol 12, Iss 1, p 202 (2019)

To expand the field of governmental applications of Big Data analytics, this study presents a case of data-driven decision-making using information on research and development (R&D) projects in Korea. The Korean government has continuously expanded t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6461577b971f192c165b8b52a48c82a4
https://www.mdpi.com/2071-1050/12/1/202

A case study on the improvement of institution of 'High-Risk High-Return R&D' in Korea

Autor: Hee Ju Jun, Mee Hyang Chang, Byung Yong Hwang, Dae Cheol Kim

Publikováno v: Journal of Open Innovation: Technology, Market, and Complexity; Volume 3; Issue 3; Pages: 19
Journal of Open Innovation: Technology, Market and Complexity, Vol 3, Iss 3, p 19 (2017)

Despite the increase of government spending on R&D in South Korea, there have been limits in enhancing the challenging trait and creativity of research outcomes. A new approach to the current mode of R&D is considered necessary to tackle this problem

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6d7b50ab1c597edeb9890427ee6782f7