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2016 International Conference on Big Data and Smart Computing (BigComp) (2016)
Hong Kong, China
Jan. 18, 2016 to Jan. 20, 2016
ISSN: 2375-9356
ISBN: 978-1-4673-8795-8
pp: 281-284
Jumi Kim , Growth Strategy Research, Korea Small Business Institute, South Korea
Wookey Lee , Industrial Engineering, Inha University, South Korea
Kwan-Hee Yoo , Electrical and Computer Engineering, Chungbuk National University, South Korea
Companies and organizations are acutely admitting the discernment that business itself can be the driving force in developing new innovations and competitive strategies so that the critical and sustainable factor is whether they have it or not and that is one of the substantial factors in of the entity existence. In this research, concerning the enormously appearing and evaporating industries can capture revival opportunities with big data, we classify the driving force issues along with several viewpoints, and investigate these driving force issues models with mounting the viewpoints ought to be signified by the classifications. We first present the successful traditional driving force models and then applied to the big data environment. Second, the driving force models in accordance to the conventional theory, and profits origin, trailed by the elucidation about digitalization of conventional driving force models and investigation of several conceptualization associated with the essential applications.
Business, Big data, Force, Data models, Industries, Production

Jumi Kim, W. Lee and Kwan-Hee Yoo, "Business driving force models for big data environment," 2016 International Conference on Big Data and Smart Computing (BigComp)(BIGCOMP), Hong Kong, China, 2016, pp. 281-284.
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