Earticle

현재 위치 Home

Big Data Analysis of Weather Condition and Air Quality on Cosmetics Marketing

첫 페이지 보기
  • 발행기관
    한국정보기술응용학회 바로가기
  • 간행물
    JITAM 바로가기
  • 통권
    Vol.24 No.3 (2017.09)바로가기
  • 페이지
    pp.93-105
  • 저자
    Zebin Wang, Tong Wu, Xinshuang Zhao, Shuchun Cheng, Genghui Dai, Weihui Dai
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A315414

※ 기관로그인 시 무료 이용이 가능합니다.

4,500원

원문정보

초록

영어
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
  2.1 Characteristics of China’s Cosmetics Customers
  2.2 Influencing Variables of Weather Condition and Air Quality
 3. Modeling and Statistical Analysis of Weather Condition and Air Quality
  3.1 The Relationship Between Humidity and Customer Flow
  3.2 The Relationship Between AQI and Customer Flow
 4. Hidden Influencing Factors through Big Data Analysis
  4.1 Dimension Reduction Process
  4.2 Rotated Component Matrix
  4.3 Multiple Linear Regression
 5. Summary and Discussion
 References

키워드

Cosmetics Marketing Big Data Mathematical Modeling Statistical Analysis

저자

  • Zebin Wang [ School of Mathematics, Fudan University ]
  • Tong Wu [ Business School, University of Shanghai for Science and Technology Shanghai 200093, China ]
  • Xinshuang Zhao [ School of Management, Fudan University, Shanghai 200433, China ]
  • Shuchun Cheng [ School of Software, Fudan University, Shanghai 200433, China ]
  • Genghui Dai [ School of Marine Sciences, Sun Yat-Sen University, Guangzhou 200433, China ]
  • Weihui Dai [ School of Management, Fudan University, 220 Handan Rd, WuJiaoChang, Yangpu Qu, Shanghai Shi, China ] Corresponding author

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    한국정보기술응용학회 [The Korea Society of Information Technology Applications]
  • 설립연도
    1999
  • 분야
    사회과학>경영학
  • 소개
    본 학회는 정보기술 관련 분야의 연구 및 교류를 촉진하여 국가 및 기업정보화 발전에 공헌함을 그 목적으로 한다.

간행물

  • 간행물명
    JITAM [Journal of Information Technology Applications and Management]
  • 간기
    격월간
  • pISSN
    1598-6284
  • eISSN
    2508-1209
  • 수록기간
    1999~2026
  • 십진분류
    KDC 005 DDC 005

이 권호 내 다른 논문 / JITAM Vol.24 No.3

    피인용수 : 0(자료제공 : 네이버학술정보)

    함께 이용한 논문 이 논문을 다운로드한 분들이 이용한 다른 논문입니다.

      페이지 저장