首页|移动购物中数据智能对消费者情绪影响研究

移动购物中数据智能对消费者情绪影响研究

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数据智能有助于移动销售端企业开展消费者行为分析、进行库存管理、提升消费者体验,其在方便消费者进行移动购物的同时,也对消费者的情绪产生不同影响.了解数据智能对移动购物中消费者情绪的影响,有助于企业制定合理的数智营销策略.本文采用质性研究方法及NVivo软件对访谈数据进行三级编码,借助环境心理学模型探讨数据智能对移动购物中消费者情绪(愉悦、唤起与支配)的影响,并在此基础上构建相应的理论模型图.结果表明:影响消费情绪的数据智能因素包括智能出价、智能搜索(智能输入、智能筛选、智能排序)、智能推荐(商品推荐、关键词推荐)、智能支付与智能服务(智能客服、智能物流)等.其中,智能出价、智能推荐、智能服务对消费者情绪影响较强,智能搜索与智能支付对消费者情绪的影响较弱;就消费者情绪各维度而言,数据智能因素对负向愉悦、正向唤起及负向支配的影响较大.因此,企业应优化智能物流、智能客服及智能推荐系统,并杜绝"大数据杀熟".
Research on the Influence of Data Intelligence on Consumer Emotions in Mobile Shopping
Data intelligence helps companies that sell on mobile devices to analyze consumer behavior,manage inventory,and improve consumer experience.However,while it facilitates mobile shopping for consumers,it also has different effects on consumer emotions.Understanding the influence of data intelligence on consumer emotions in mobile shopping can help com-panies develop appropriate data intelligence marketing strategies.The paper adopts qualitative research method and NVivo software to encode the interview data at three levels,uses the environmental psychology model to explore the influence of data intelligence on consumer emotions including pleasure,arousal and domination in mobile shopping and constructs the corre-sponding theoretical model on the basis.The results show that the data intelligence variables influencing consumer emotions include intelligent price,intelligent search(intelligent inputting,intelligent filtering and intelligent sorting),intelligent recom-mendation(commodity recommendation and keyword recommendation),intelligent payment and intelligent service(intelligent customer service and intelligent logistics).Among them,intelligent price,intelligent recommendation,and intelligent service have stronger influences on consumer emotions,while intelligent search and intelligent payment have weaker influences on consumer emotions.In terms of the dimensions of consumer emotions,data intelligence factors have greater influences on neg-ative pleasure,positive arousal,and negative domination.Based on this,enterprises should optimize systems such as intelligent logistics,intelligent customer service and intelligent recommendation,and put an end to"big data-enabled price discrimination against existing customers".

mobile shoppingdata intelligenceconsumer emotionNVivo

何军红、吴津华、周杨、李甫

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广东工业大学管理学院

移动购物 数据智能 消费者情绪 NVivo

国家自然科学基金面上项目广东省哲学社会科学规划项目

71972052GD21CGL22

2024

价格理论与实践
中国价格协会

价格理论与实践

CSTPCDCHSSCD北大核心
影响因子:0.54
ISSN:1003-3971
年,卷(期):2024.(9)