Browse > Article
http://dx.doi.org/10.14386/SIME.2020.28.4.166

Survival Strategies for Data Business in the Post-COVID Era  

Lee, Raehyung (한국과학기술원 기술경영전문대학원)
Publication Information
Journal of Technology Innovation / v.28, no.4, 2020 , pp. 165-175 More about this Journal
Abstract
In this viewpoint paper, we overlook the potential of the data industry and the strategies needed in order to survive in this new socio-economic order brought by COVID-19. The social distancing culture is leading to the expansion and centralization of data. The government established the development plan of the data industry ecosystem and the capital flow is following this stream, so this is an opportunity for those in the data business. To survive and grow in the data industry ecosystem, we need to identify quality characteristics that have a comparative advantage over competitors based on high data quality and need to determine the target business segmentation to avoid wasting resources and make efficient investments.
Keywords
COVID-19; Post-Corona; Post-COVID; Data industry; Strategy;
Citations & Related Records
연도 인용수 순위
  • Reference
1 기획재정부(2020), "한국판 뉴딜 종합계획", pp. 19-20
2 과학기술정보통신부(2020), "디지털 뉴딜, 「데이터 댐」의 핵심, 인공지능(AI) 데이터 품질 표준안, 국내외 표준화 추진", pp. 1-2
3 이덕희(2008), 「네트워크 이코노미」, 동아시아, pp. 433-496
4 카이스트 기술경영전문대학원(2019), 「한국 산업의 미래 전략」, pp. 51-55
5 카이스트 기술경영전문대학원(2020), 「한국 산업의 혁신 전략」, pp. 6-7
6 한국데이터산업진흥원(2019), 「이터산업백서」, 22, pp. 84-93
7 ISO/IEC(2008), "ISO/IEC 25012:2008(en) Software engineering -Software product Quality Requirements and Evaluation (SQuaRE) - Data quality model"
8 Gullahorn, J. T., & Gullahorn, J. E. (1963). "An Extension of the U-Curve Hypothesis", Journal of Social Issues, 19, pp. 33-47.   DOI
9 ISO/IEC(2015), "ISO/IEC 25024:2015(en) Systems and software engineering - Systems and software Quality Requirements and Evaluation (SQuaRE) - Measurement of data quality"
10 Gartner(2019), Hype Cycle for Digital Government Technology