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http://dx.doi.org/10.14400/JDC.2016.14.7.21

Finding Industries for Big Data Usage on the Basis of AHP  

Lee, Sang-Won (Divison of Information and Electronic Commerce, Wonkwang Uniiversity)
Kim, Sung-Hyun (K-ICT Big data Center, National Information Society Agency)
Publication Information
Journal of Digital Convergence / v.14, no.7, 2016 , pp. 21-27 More about this Journal
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.
Keywords
Big Data; AHP; Industry Analysis; Industry Selection; Industry Evaluation;
Citations & Related Records
Times Cited By KSCI : 7  (Citation Analysis)
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