消费者在线购买净菜满意度的影响因素的识别——基于京东在线评论信息
Identification of the Influencing Factors of Consumers’ Satisfaction with Online Purchase of Pre-Washed Vegetables—Based on Jingdong Online Review Information
DOI: 10.12677/ECL.2023.124012, PDF,   
作者: 王 尧:黑龙江八一农垦大学经济管理学院,黑龙江 大庆
关键词: 在线评论文本挖掘净菜LDA主题模型Online Reviews Text Mining Pre-Washed Vegetables LDA Topic Model
摘要: 快节奏的生活方式使人们对净菜的需求不断增加,其发展前景受到了众多生鲜电商企业的关注。消费者对电商平台销售净菜商品的满意度影响其重购意愿,对消费者满意的测度具有重大意义。借助python爬虫工具挖掘京东商城净菜在线评论文本,运用LDA主题模型分析得出商品质量、商品价格、物流服务和购物体验是影响消费者在线购买净菜满意度的关键要素。基于此,从提升净菜质量、加大促销力度、强化物流冷链服务、加强有效沟通四个方面为净菜电商提出改进建议,从而提高消费者满意度。
Abstract: The fast-paced lifestyle has increased people’s demand for pre-washed vegetables, and its development prospects have attracted the attention of many fresh e-commerce companies. Consumers’ satisfaction with the sales of pre-washed vegetables on e-commerce platforms affects their willingness to repurchase, which is of great significance to the measurement of consumer satisfaction. With the help of python crawler tool, this paper excavates the online review text of pre-washed vegetables in Jingdong Mall, and uses LDA topic model to analyze that product quality, product price, logistics service and shopping experience are the key factors affecting consumers’ satisfaction with online purchase of pre-washed vegetables. Based on this, from the four aspects of improving the quality of pre-washed vegetables, increasing promotion efforts, strengthening logistics cold chain services, and strengthening effective communication, suggestions for improving pre-washed vegetable e-commerce are proposed to improve consumer satisfaction.
文章引用:王尧. 消费者在线购买净菜满意度的影响因素的识别——基于京东在线评论信息[J]. 电子商务评论, 2023, 12(4): 99-108. https://doi.org/10.12677/ECL.2023.124012

参考文献

[1] Sillani, S. and Nassivera, F. (2015) Consumer Behavior in Choice of Minimally Processed Vegetables and Implications for Marketing Strategies. Trends in Food Science & Technology, 46, 993-1022. [Google Scholar] [CrossRef
[2] 张蓓, 马如秋. 净菜电子商务质量安全及其支撑体系的国际经验借鉴[J]. 世界农业, 2019(5): 4-9+112
[3] 李鑫. 互联网背景下半成品净菜电商发展创新研究[J]. 食品研究与开发, 2023, 44(3): 225-226.
[4] Baselice, A., Colantuoni, F., Lass, D.A., et al. (2017) Trends in EU Consumers’ Atti-tude towards Fresh-Cut Fruit and Vegetables. Food Quality and Preference, 59, 87-96. [Google Scholar] [CrossRef
[5] 蒲玉. 后疫情时代预制菜发展思考[J]. 产城, 2022(10): 38-41.
[6] 曾耀锐, 邹玉洁, 卢贤钿. 供应链视角下“宅经济”预制菜发展现状及前景分析[J]. 中国储运, 2022(11): 189-190.
[7] 马凤才, 李春月. 消费者对电子商务平台销售生鲜产品满意度测算研究——基于京东生鲜在线评论的分析[J]. 价格理论与实践, 2020(5): 117-120.
[8] 雷兵, 刘小, 钟镇. 生鲜农产品网购中交易属性对消费者满意度的影响——基于水果品类在线评论挖掘分析[J]. 企业科技与发展, 2020(12): 136-139.
[9] 刘宏宇, 高艳, 陈宽. 基于意见挖掘的生鲜电商物流服务对满意度影响机理研究[J]. 黑龙江八一农垦大学学报, 2021, 33(2): 106-115.
[10] 李道和, 杨俊, 陈江华. 茶叶电子商务消费者满意度影响因素分析——基于在线评论的探索分析[J]. 林业经济, 2019, 41(10): 70-77.
[11] Blei, D.M., Ng, A.Y. and Jordan, M.I. (2003) Latent Dirichlet Alloca-tion. Journal of Machine Learning Research, 3, 993-1022.
[12] 王二朋, 倪郑宇. 农产品线上消费者的偏好特征研究——基于“京东”销售苹果在线评论数据的分析[J]. 价格理论与实践, 2020(2): 120-123.
[13] 包乾辉, 李佳利, 石淑珍, 戴引, 刘雪. 基于DSLML的鸡蛋消费在线评论情感分析[J]. 农业机械学报, 2021, 52(S1): 496-503.
[14] 费威, 李诗允, 吕欣阳. 基于数据挖掘的社交电商助力农产品上行的实证分析[J]. 湖南农业大学学报(社会科学版), 2022, 23(4): 104-114.
[15] 王胜源, 谭棋, 何江林. 物流服务质量对生鲜电商顾客购买意愿的影响研究——基于京东生鲜商品在线评论的用户情感分析[J]. 辽宁工程技术大学学报(社会科学版), 2023, 25(3): 174-181.
[16] 祖弦, 谢飞. LDA主题模型研究综述[J]. 合肥师范学院学报, 2015, 33(6): 55-58+61.
[17] 黄佳佳, 李鹏伟, 彭敏, 谢倩倩, 徐超. 基于深度学习的主题模型研究[J]. 计算机学报, 2020, 43(5): 827-855.
[18] Sievert, C., Shirley, K. and Davis, L. (2014) LDAvis: A Method for Visualizing and Interpreting Topics. Proceedings of Workshop on Interac-tive Language Learning, Visualization, and Interfaces, Baltimore, 27 June 2014, 63-70.
[19] Chuang, J., Manning, C.D. and Heer, J. (2012) Termite: Visualization Techniques for Assessing Textual Topic Models. Proceedings of the Interna-tional Working Conference on Advanced Visual Interfaces, Naples, 22-25 May 2012, 74-77. [Google Scholar] [CrossRef
[20] 杨铮, 牟元苇. 基于在线评论的消费者网购地理标志农产品满意度测评研究[J]. 情报探索, 2022(9): 103-110.
[21] 王珠美, 胡彦蓉, 刘洪久. 基于LDA主题模型和直觉模糊TOPSIS的农产品在线评论情感分析[J]. 数据采集与处理, 2020, 35(5): 965-977.