首页|板栗新式复合饮品的消费者心理与行为研究

板栗新式复合饮品的消费者心理与行为研究

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板栗是我国七大优势经济林树种之一,但我国板栗产业精深加工不足,与板栗相关的商品较为单一,缺乏多样性.为开发出消费者喜爱的板栗饮品,本研究对多个省区的消费者进行了问卷调查,收集主流社交平台上的用户评价,采用交叉分析、关联分析、文本挖掘等方法,分析了消费者的消费倾向,生成消费者的用户画像,并针对不同年龄段提出相应的推广建议.结果显示,板栗牛奶与板栗绿茶是非常符合消费者倾向的板栗复合饮品,具有较好的市场接受度与市场前景,是目前开发潜力较大的两款产品.同时,各年龄段的消费群体的口味需求不同.18~25岁的年轻消费者偏向清爽香甜型产品,25~35岁的青年消费者偏向微苦提神型产品,35~45岁的壮年消费者偏向浓郁醇厚型产品,45岁以上的中老年及老年消费者偏向清香浓郁型产品.本研究为设计出更符合消费者偏好的板栗新式复合饮品提供了参考依据,以解决板栗贮藏困难的问题,提升板栗产品的附加值.
Consumer Psychology and Behavior Study of Chestnut New-Style Composite Beverage
Chestnut is one of the seven dominant economic forest tree species in China,but the deep processing of China's chestnut industry is insufficient,and the commodities related to chestnut are relatively single and lack diversity.In order to develop the chestnut drink that consumers like,through a questionnaire survey of consumers in multiple provinces,this study collected user evaluations on mainstream social platforms,and used cross-analysis,association analysis,text mining and other methods to analyze consumers'consumption tendencies,generate consumer user portraits,and put forward corresponding beverage suggestions for different age groups.The results showed that chestnut milk and chestnut green tea were the chestnut compound drinks that were most in line with consumer tendencies,and had great market prospect and market acceptance,and were the two products with the greatest development potential.At the same time,the taste needs of consumer groups of different ages were different.Young consumers aged 18-25 preferred refreshing and sweet products,young consumers aged 25-35 preferred slightly bitter and refreshing products,middle-aged consumers aged 35-45 preferred rich and mellow products,middle-aged and elderly consumers over the age of 45 preferred products with a strong fragrance.This study could provide a reference for the design of new chestnut compound drinks that are more in line with consumer preferences,solve the problem of chestnut storage difficulties,and improve the added value of chestnut products.

Chestnut composite beveragetext mininguser profiledata analysis

张文、鞠佳桐、尹雯雯、吴莹瑶、张美

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武汉工程大学环境生态与生物工程学院,湖北武汉 430205

武汉工程大学计算机科学与工程学院,湖北武汉 430205

武汉工程大学光电信息与能源工程学院数理学院,湖北武汉 430205

武汉工程大学法商学院,湖北武汉 430205

绿色化工过程教育部重点实验室(武汉工程大学),湖北武汉 430205

磷资源开发利用教育部工程研究中心,湖北武汉 430205

新型反应器与绿色化学工艺湖北省重点实验室,湖北武汉 430205

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板栗复合饮品 文本挖掘 用户画像 数据分析

2024

中国果菜
中华全国供销合作总社济南果品研究院 山东省供销合作社联合社 中国果蔬贮藏加工技术研究中心

中国果菜

影响因子:0.204
ISSN:1008-1038
年,卷(期):2024.44(10)