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


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.


Big Data;AHP;Industry Analysis;Industry Selection;Industry Evaluation


Supported by : Wonkwang University


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