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Article

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

1
Data Analysis Division, Korea Institute of Science and Technology Information, 66 Hoegi-ro, Dongdaemun-gu, Seoul 02456, Korea
2
Technology Commercialization Center, Korea Institute of Science and Technology Information, 66 Hoegi-ro, Dongdaemun-gu, Seoul 02456, Korea
*
Author to whom correspondence should be addressed.
Sustainability 2020, 12(1), 202; https://0-doi-org.brum.beds.ac.uk/10.3390/su12010202
Received: 31 October 2019 / Revised: 18 December 2019 / Accepted: 20 December 2019 / Published: 25 December 2019
(This article belongs to the Special Issue Big Data for Sustainable Anticipatory Computing)
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 the proportion of its R&D investment in small and medium-size enterprises to improve the commercialization performance of national R&D projects. However, the government has struggled with the so-called “Korea R&D Paradox”, which refers to how performance has lagged despite the high level of investment in R&D. Using data from 48,309 national R&D projects carried out by enterprises from 2013 to 2017, we perform a cluster analysis and decision tree analysis to derive the determinants of their commercialization performance. This study provides government entities with insights into how they might adjust their approach to Big Data analytics to improve the efficiency of R&D investment in small- and medium-sized enterprises. View Full-Text
Keywords: big data; decision tree; government; national R&D project; small and medium-sized enterprises; commercialization performance big data; decision tree; government; national R&D project; small and medium-sized enterprises; commercialization performance
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MDPI and ACS Style

Kim, E.S.; Choi, Y.; Byun, J. Big Data Analytics in Government: Improving Decision Making for R&D Investment in Korean SMEs. Sustainability 2020, 12, 202. https://0-doi-org.brum.beds.ac.uk/10.3390/su12010202

AMA Style

Kim ES, Choi Y, Byun J. Big Data Analytics in Government: Improving Decision Making for R&D Investment in Korean SMEs. Sustainability. 2020; 12(1):202. https://0-doi-org.brum.beds.ac.uk/10.3390/su12010202

Chicago/Turabian Style

Kim, Eun S., Yunjeong Choi, and Jeongeun Byun. 2020. "Big Data Analytics in Government: Improving Decision Making for R&D Investment in Korean SMEs" Sustainability 12, no. 1: 202. https://0-doi-org.brum.beds.ac.uk/10.3390/su12010202

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