Journal of Digital Convergence (디지털융복합연구)

The Society of Digital Policy and Management (한국디지털정책학회)
권호 표지
DOI QR코드

DOI QR Code

Finding Industries for Big Data Usage on the Basis of AHP

AHP 기반의 빅데이터 활용을 위한 산업 탐색

  • Lee, Sang-Won (Divison of Information and Electronic Commerce, Wonkwang Uniiversity) ;
  • Kim, Sung-Hyun (K-ICT Big data Center, National Information Society Agency)
  • 이상원 (원광대학교 정보전자상거래학부) ;
  • 김성현 (한국정보화진흥원 K-ICT 빅데이터센터)
  • Received : 2016.05.17
  • Accepted : 2016.07.20
  • Published : 2016.07.28
Download PDF
⟨ Previous Next ⟩

Abstract

Big Data is gathering all the attention from every business community. Pervasive use of machine-to-machine (M2M) applications and mobile devices bring an explosion of data. By analyzing this data, the private and public sectors can benefit in the areas of cost reduction and productivity. The Korean government is actively pursuing Big Data initiatives to promote its usage. This paper aims to select industries which fit for the development of Big Data with a verification of the experts. The analytic hierarchy process (AHP) is applied to systematically derive the opinion of more than 50 professionals. Medical / welfare, transportation / warehousing, information and communications / information security, energy, the financial sector have been identified as promising industries. The results can be utilized in developing Big Data best practices thus contributing industrial development.

빅데이터가 다양한 산업 분야에서 모든 관심을 끌고 있다. 사물과 사물 간 연결과 모바일 장치들의 용도 확대는 데이터의 폭발적인 증가를 불러오고 있다. 이러한 데이터를 분석하여 민간과 공공 분야에서는 비용 절감과 생산성 분야에 있어서 혜택을 누리고 있다. 한국 정부는 이러한 활용을 촉진하기 위해서, 빅데이터 산업발전전략을 활발하게 추진하고 있다. 본 연구는 빅데이터의 적극적인 육성이 필요한 산업 분야를 전문가의 검증을 통해 선정하였다. 전문가의 50여명의 체계적인 의견 도출을 위해 계층분석법(AHP)을 적용하였다. 분석 결과 의료,복지, 운송/창고보관업, 정보통신/정보보안, 에너지, 금융 분야가 빅데이터 적용이 유망한 것으로 확인되었다. 도출 결과는 앞으로 빅데이터 시범사업으로 인한 모범사례의 발굴 등에 활용되어 빅데이터 산업 발전에 기여할 것이다.

Keywords

Acknowledgement

Supported by : Wonkwang University

References

  1. E. Turban, E. McLean, and J. Wetherbe, Information Technology for Management, John Wiley & Sons, Inc., 2015.
  2. J. Gantz, and D. Reinsel, "Extracting Value from Chaos", IDC, 2011
  3. B. Hopkins, , B. Evelson, B. Hopkins, B. Evelson, S. Leaver, C. Moore, and M. Cahill, "Expand Your Digital Horizon with Big Data", Forrester, Vol. 9, 2011.
  4. A. McAfee, and E. Brynjolfsson, "Big Data: The Management Revolution", Harvard Business Review, Vol. 90, No. 10, pp. 60-68, 2012.
  5. MSIP, "Big Data Industry Development Strategy", The Republic of Korea Government, 2013.
  6. NRI, "The Advent of Big Data Era", Nomura Research Institute, 2012.
  7. White House, "Obama Administration Unveils Big Data Initiative: Announces $200 Million in New R&D Investments", in Press Release, 2012.
  8. R. Kumar, N. Gupta, S. Charu, and S. K. Jangir, "Architectural Paradigms of Big Data", National Conference on Innovation in Wireless Communication and Networking Technology, Association with the Institution of Engineers, Vol. 1, No. 1, 2014.
  9. A. Syed, K. Gillela, and C. Venugopal, "The Future Revolution on Big Data", Future, Vol. 2, No. 6, 2013.
  10. A. Z. Santovena, "Big Data: Evolution, Components, Challenges and Opportunities", Doctoral Dissertation, Massachusetts Institute of Technology, 2013
  11. D. Laney, "3D Data Management: Controlling Data Volume, Velocity and Variety", Gartner, 2001.
  12. J. Manyika, M. Chui, B. Brown, J. Bughin, R. Dobbs, C. Roxburgh, and A. H. Byers, "Big Data: The Next Frontier for Innovation, Competition, and Productivity", McKinsey Global Institute, 2011.
  13. T. L. Saaty, "The Analytic Hierarchy Process", McGraw Hill, 1980
  14. L. Kim, "Convergence of Information Technology and Corporate Strategy", Journal of the Korea Convergence Society, Vol. 6, No. 6, pp. 17-26, 2015. https://doi.org/10.15207/JKCS.2015.6.6.017
  15. S. Lee, D. Lee, "FinTech-Conversions of Finance Industry based on ICT", Journal of the Korea Convergence Society, Vol. 6, No. 3, pp. 97-102, 2015. https://doi.org/10.15207/JKCS.2015.6.3.097
  16. S. Kim, S. Jang, G. Jang, "Information Technology Adoption and Success Research Review in Small and Medium-sized Enterprises", Journal of Digital Convergence, Vol 11. No 3. pp 199-207, 2013. https://doi.org/10.14400/JDPM.2013.11.3.199
  17. T. L. Saaty, "How to Make a Decision: the Analytic Hierarchy Process", European Journal of Operational Research, Vol. 48, No. 1, pp. 9-26, 1990. https://doi.org/10.1016/0377-2217(90)90057-I
  18. Y. Jung, M. Suk, C. Kim, "A study on the success factors of Bigdata through an analysis of introduction effect of Bigdata", Journal of Digital Convergence, Vol 12, No. 11, pp. 241-248, 2014. https://doi.org/10.14400/JDC.2014.12.11.241
  19. M. Yim, "The Convergence between Manufacturing and ICT: The Exploring Strategies for Manufacturing version 3.0 in Korea", Journal of Digital Convergence, Vol.14, No. 3, pp.219-226, 2016. https://doi.org/10.14400/JDC.2016.14.3.219
  20. K. Noh, S. Park, "An Exploratory Study on Application Plan of Bigdata to Manufacturing Execution System", Journal of Digital Convergence, Vol. 12, No. 1, 2014.
  21. K. Noh, "A Study on Utilization Strategy of Bigdata for Local Administration by Analyzing Cases", Journal of Digital Convergence 12(1), 2014.
  22. B. Hwang, S. Kim, "On Implementing a Learning Environment for Big Data Processing using Raspberry Pi", Journal of Digital Convergence, Vol 14, No 4, pp.251-258, 2016. https://doi.org/10.14400/JDC.2016.14.4.251
  23. K. Noh, "Educational Policy Proposals through Analysis of the Perception of Bigdata for University Students", Journal of Digital Convergence, Vol. 13, No. 11, pp.25-33, 2015.