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基于Logistic回归的国际时尚品牌销售渠道选择影响因素分析

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为了帮助国际时尚品牌合理、科学地选择销售渠道和制定销售策略,以满足不同地区不同类型消费者的需求,提高品牌市场竞争力.首先依据访谈数据确定分析因子,建立影响国际时尚品牌销售渠道选择的多因素分析理论模型,提出可能影响国际品牌销售渠道选择的消费者偏好分析指标体系,从消费者个人特征、心理偏好、品类偏好以及时尚认知4个维度设计问卷并进行调研.运用SPSS软件对问卷回收数据进行录入,并采用Logistic回归分析数据,从而验证模型假设.通过分析结果可知,以上4个维度下的诸多影响因子均对国际品牌销售渠道的选择产生显著影响,并给出了具体的指导策略.品牌商可以根据研究结果制定对应的销售策略,以有效提高销售渠道利用率,最大化提升品牌销售业绩.
Analysis on the influencing factors of international fashion brand's sales channels based on Logistic regression model
In order to help international fashion brands rationally and scientifically select sales channels and formulate sales strategies to meet the needs of different types of consumers in different regions and improve brand market competitiveness.Firstly,the analysis factors were determined according to the interview data,a multi-factor analysis theoretical model was established to influence the selection of sales channels of international fashion brands,and the analysis index system of consumer preferences that may affect the selection of sales channels of international brands was proposed.Questionnaires were designed and conducted from the four dimensions of consumer personal characteristics,psychological preferences,category preferences and fashion cognition.SPSS software was used to input the recovered questionnaire data,and Logistic regression was used to analyze the data,so as to verify the model hypothesis.Through the analysis results,it can be seen that many influence factors under the above four dimensions have a significant impact on the selection of international brand sales channels,and specific guidance strategies are given in the paper.Brand owners can formulate corresponding sales strategies according to the research results to effectively improve the utilization of sales channels and maximize brand sales performance.

distribution channelinternational fashion brandsLogistic regression modelinfluence factors

田欢

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兰州职业技术学院现代服务学院,甘肃兰州 730070

销售渠道 国际时尚品牌 Logistic回归 影响因子

北京高等教育本科教学改革创新项目中国纺织工业联合会高等教育教学改革研究项目

2022100120022021BKJGLX079

2024

毛纺科技
中国纺织信息中心 北京毛纺织科学研究所

毛纺科技

北大核心
影响因子:0.3
ISSN:1003-1456
年,卷(期):2024.52(1)
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