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http://dx.doi.org/10.6109/jkiice.2016.20.11.2027

Comparing the Results of Big-Data with Questionnaire Survey  

Kim, Do-Goan (Division of Information and Electronic Commerce, Wonkwang University)
Shin, Seong-Yoon (Department of Computer Information Engineering, Kunsan National University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.20, no.11, 2016 , pp. 2027-2032 More about this Journal
Abstract
The rapid diffusion of smart phones and the development of data storage and analysis technology have made the field of big-data a promising industry in the future. In the marketing field, big-data analysis on social data can be used for understanding the needs of consumers as an effective and efficient marketing tool. Before the age of big-data, companies had relied upon the traditional methods such as questionnaire survey and marketing test in which a small number of consumers had participated. The traditional methods have still been used. Although both of big-data analysis and traditional methods are useful to understand consumers. It is need to check whether the results from both include similar implications. In this point, this study attempts to compare the results of big-data analysis with that of questionnaire survey on some cosmetics brands methods. As the results of this study, both results of big-data analysis and questionnaire survey include similar implications.
Keywords
Big-Data; Questionnaire Survey; Marketing; Cosmetics; Brand;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
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