메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색

논문 기본 정보

자료유형
학술저널
저자정보
저널정보
한국패션비즈니스학회 패션 비즈니스 패션 비즈니스 제6권 제5호
발행연도
2002.1
수록면
136 - 150 (15page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색

초록· 키워드

오류제보하기
In this study, we proposed a method to be standing customers as the supporting system for theimprovement of fashion garment industry which was the marginal growth getting into full maturity ofmarket. As for the customer creation method of Fashion garment company is developing a marketingprogram to be standing customer as customer scoring to estimate a existing customers buying power,and figure out minimum fixed sales of company to use a future purchasing predict. This study was aresult of data from total sixty thousands data to be created for the 11 months from september. 2000 toJuly. 2001. The data is part of which the company leading the Korean fashion garment industry has a lotof a customer purchasing history data. But this study used only 48,845 refined purchased data todiscriminate from sixty thousands data and 21,496 customer case with the exception of overlappingpurchased data among of those. The software used to handle sixty thousands data was SAS e-miner. Asthe analysis process is put in to operation the analysis of the purchasing customers profile firstly, and thesecond come into basket analysis to consider the buying associations for Association goods, the thirdestimate the customer grade of Customer loyalty by 3 ways of logit regression analysis, decision tree,Artificial Neural Network. The result suggested a method to be estimate the customer loyalty as 3independent variables, 2 coefficients. The 3 independent variables are total purchasing amount,purchasing items per one purchase, payment amount by one purchasing item. The 2 coefficients areroyal and normal for customer segmentation. The result was that this model use a logit regressionanalysis was valid as the method to be estimate the customer loyalty.

목차

등록된 정보가 없습니다.

참고문헌 (0)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0