Predictive models of intent to repurchase based on customer data
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초록

As the business environment becomes ever more complex, predicting future buying patterns has become increasingly important. Moreover, there has been growth in the number of consumers focusing on health and self-care given rapid societal and economic changes. This shift is leading to heightened interest in athleisure wear and an increase in sales volume in this domain. It is accordingly necessary for companies in this field to establish marketing strategies based on predicting consumers’ future purchases to maintain continuous growth and competitiveness. This paper surveyed 400 consumers who purchased athleisure wear and established a predictive model for consumer buying behavior using Multivariate Discriminant Analysis. This paper found that a brand's authenticity and the purchaser’s involvement in sports were significant factors prediction customers’ repurchase behavior. Companies should accordingly engage in authentic business practices and consider clothing designs and marketing strategies that can connect consumers' daily lives with their sports activities. © 2024, Learning Gate. All rights reserved.

키워드

AuthenticityIntention to repurchaseMultivariate discriminant analysis. Sports involvement
제목
Predictive models of intent to repurchase based on customer data
저자
Lee, Hong Joo
DOI
10.55214/25768484.v8i4.1492
발행일
2024-09
유형
Article
저널명
Edelweiss Applied Science and Technology
8
4
페이지
1174 ~ 1187