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http://dx.doi.org/10.14400/JDC.2021.19.11.445

A Study on the Prediction Model for Sales of Women's Golfwear with Data Mining: Focus on Macroeconomic Factors and Consumer Sales Price  

Han, Ki-Hyang (Dept. of Fashion Design, Konkuk University)
Publication Information
Journal of Digital Convergence / v.19, no.11, 2021 , pp. 445-456 More about this Journal
Abstract
The purpose of this study is to identify the importance of variables affecting women's golf wear sales with macroeconomic variables and consumer selling prices that affect consumers' purchasing behavior, and to propose a price strategy to increase sales of golf wear. Data of domestic women's golf wear brands were analyzed using decision tree algorithms and ensemble. Consumer selling price is the most significant factors in terms of sales volume for T-shirt, pants and knit, while categories were found to be the most important factors in addition to consumer sales prices for skirt and one piece dress. These findings suggest that items have different economic variables that affect consumers' purchasing behavior, suggesting that sales and profits can be maximized through appropriate price strategies.
Keywords
Golfwear; Data mining; Consumer selling price; Decision tree; Ensemble;
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