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논문 기본 정보

자료유형
학술저널
저자정보
Zebin Wang (Fudan University) Tong Wu (University of Shanghai for Science and Technology Shanghai) Xinshuang Zhao (Fudan University) Shuchun Cheng (Fudan University) Genghui Dai (Sun Yat-Sen University) Weihui Dai (Fudan University)
저널정보
한국데이터전략학회 Journal of Information Technology Applications & Management Journal of Information Technology Applications & Management Vol.24 No.3
발행연도
2017.9
수록면
93 - 105 (13page)

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초록· 키워드

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Demands of cosmetics are affected not only by the well-known elements such as brand, price, and customer"s consumption capacity, but also by some latent factors, for example, weather and air environment. Due to complexity and dynamic changes of the above factors, their influences can hardly be estimated in an accurate way by the traditional approaches such as survey and questionnaires.
Through modeling and statistical analysis of big data, this article studied the impacts of weather condition and air quality on customer flow and sales of the cosmetics distributors in China, and found several hidden influencing factors. It provided a big-data based method for the analysis of unconventional factors on cosmetics marketing in the changing weather condition and air environment.

목차

Abstract
1. Introduction
2. Impacts of Weather Condition and Air Quality
3. Modeling and Statistical Analysis of Weather Condition and Air Quality
4. Hidden Influencing Factors through Big Data Analysis
5. Summary and Discussion
References

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