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ARDL 시계열 모형을 활용한 패션 브랜드의 매출 예측 분석 -패션 브랜드와 광고모델의 웹 검색량, 정보량, 가격할인 프로모션을 중심으로-
Fashion Brand Sales Forecasting Analysis Using ARDL Time Series Model -Focusing on Brand and Advertising Endorser's Web Search Volume, Information Amount, and Brand Promotion- 원문보기

한국의류학회지 = Journal of the Korean Society of Clothing and Textiles, v.46 no.5, 2022년, pp.868 - 889  

서주연 (이화여자대학교 의류산업학과) ,  김효정 (이화여자대학교 의류산업학과) ,  박민정 (이화여자대학교 의류산업학과)

Abstract AI-Helper 아이콘AI-Helper

Fashion companies are using a big data approach as a key strategic analysis to predict and forecast sales. This study investigated the effectiveness of the past sales, web search volume, information amount, brand promotion, and the advertising endorser on the sales forecasting model. The study condu...

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참고문헌 (76)

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