湖北农业科学 ›› 2022, Vol. 61 ›› Issue (24): 236-242.doi: 10.14088/j.cnki.issn0439-8114.2022.24.047

• 经济·管理 • 上一篇    下一篇

基于文本挖掘的特色农产品网络零售满意度影响因素与提升策略研究——以随州香菇为例

吴键, 李秀军   

  1. 河北工业大学理学院,天津 300401
  • 收稿日期:2021-06-04 出版日期:2022-12-25 发布日期:2023-01-18
  • 通讯作者: 李秀军(1968-),女,河北昌黎人,讲师,硕士,主要从事应用统计方向研究。
  • 作者简介:吴键(1996-),男,天津人,在读硕士研究生,研究方向为应用统计,(电话)0713-7064076(电子信箱)wuxiaochudi@126.com。
  • 基金资助:
    国家社会科学基金项目(16BJY186); 河北省高等学校人文社会科学研究项目(SQ201109)

Research on the influencing factors and promotion strategies of online retail satisfaction of characteristic agricultural products based on text mining:Taking Suizhou mushroom as an example

WU Jian, LI Xiu-jun   

  1. School of Science, Hebei University of Technology, Tianjin 300401, China
  • Received:2021-06-04 Online:2022-12-25 Published:2023-01-18

摘要: 基于波士顿矩阵理论,以随州香菇为例,依据销售价格和总成交量两大指标,将天猫和淘宝零售的香菇商品划分为九大市场类型,分别爬取相应市场中消费者对随州香菇的在线评论,利用情感词典分析评论的情感倾向,得出14 703条商品评论中所隐含的消费者对随州香菇网络零售满意度的评价。从语义网络结构与主题分布的研究角度,对正面评价与负面评价进行文本挖掘,提取得到各市场类型下随州香菇网络零售满意度的影响因素。结果表明,淘宝随州香菇商品中导致消费者满意度下降的影响因素相对单一,集中在质量、分量、客服沟通和老顾客管理上,而天猫中引起消费者满意度下滑的影响因素较为多元,既涉及质量、包装、分量等商品本身问题,也涵盖客服沟通、物流、价格等销售服务问题。并进一步从金字招牌、香菇品控、顾客黏性、美食文化和服务支撑方面提出优化发展的“12345提升策略组合拳”,以期发挥特色农产品电商在随州市乃至湖北省后扶贫时代下促进脱贫攻坚与乡村振兴有效衔接的新引擎作用。

关键词: 随州香菇, 网络零售, 商品评论, 情感倾向, 文本挖掘, 满意度, 影响因素, 提升策略

Abstract: On the basis of Boston matrix theory, taking Suizhou mushroom as an example, according to the two major indicators of sales price and total transaction volume, the mushrooms products retailed on Tmall and Taobao were divided into nine major market types, and the online comments of consumers on Suizhou mushroom in the corresponding markets were crawled respectively. The emotional tendency of the comments was analyzed by using the emotional dictionary, and the evaluation of consumers' satisfaction with online retail of Suizhou mushroom implied in 14 703 commodity comments was obtained. From the perspective of semantic network structure and topic distribution, the text mining of positive and negative evaluations was carried out to extract the influencing factors of online retail satisfaction of Suizhou mushroom under various market types. The results showed that the factors affecting the decline of consumer satisfaction in Taobao Suizhou mushroom were relatively simple, focusing on quality, quantity, customer service communication and regular customer management, while the factors affecting the decline of consumer satisfaction in Tmall were relatively diverse, involving both the quality, packaging, quantity and other issues of the product itself, and also covering the customer service communication, logistics, price and other sales service problems. Further from the aspects of golden signboards, mushroom quality control, customer stickiness, food culture and service support, the optimization of the development of the “12345 promotion strategy combination punch ” was proposed, so as to give play to the new engine role of e-commerce of characteristic agricultural products in promoting the effective connection between poverty alleviation and rural revitalization in Suizhou City and even in the post poverty alleviation era in Hubei Province.

Key words: Suizhou mushroom, online retail, product review, sentiment tendency, text mining, satisfaction, influencing factor, promotion strategy

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