数字传播下非遗电商消费特征与决策启示——以贵州苗绣网络评论为例
Consumption Characteristics and Decision-Making Enlightenment of Intangible Cultural Heritage E-Commerce in the Digital Communication Era—A Case Study of Online Comments on Guizhou Miao Embroidery
摘要: 在数字传播飞速发展与文旅深度融合的背景下,非遗手工艺正加速转向电商化、大众化赛道。本文以贵州苗绣为例,挖掘多平台网络评论数据,运用LDA主题模型与SO-PMI情感分析,探究其电商消费特征及决策逻辑。研究归纳出文化体验、设计创新、实用与痛点三大消费主题,情感分析结果显示,正面评价主要集中在工艺精湛与文化价值上,负面评价多指向创新不足、质量参差、价格偏高和实用性不强。实际上,苗绣的消费决策受文化认同、实用性、做工水平、服务品质等因素共同影响。据此,本文提出产品创新、分级定价、内容优化与文旅电商融合等策略,以期实现苗绣电商消费转化率提升,并为非遗电商高质量发展、数字化传承与市场化运营提供实证参考与决策建议。
Abstract: Driven by digital communication and cultural-tourism integration, intangible cultural heritage handicrafts have rapidly embarked on e-commerce and popularization. Taking Guizhou Miao Embroidery as an example, this paper explores the consumption characteristics and decision-making logic of Miao Embroidery e-commerce based on online comment data from multiple platforms, adopting the LDA topic model and SO-PMI sentiment analysis. The study summarizes three major consumption themes: cultural experience, design innovation, as well as practicality and consumption pain points. It is found that positive evaluations mainly focus on handmade craftsmanship and cultural value, while negative evaluations concentrate on insufficient innovation, unstable workmanship, high pricing and poor practicality. Consumer decision-making is jointly affected by cultural identity, practical attributes, workmanship and service experience. On this basis, this paper proposes strategies including product innovation, tiered pricing, content optimization and cultural-tourism e-commerce integration to effectively boost consumption conversion. It provides empirical reference and decision suggestions for the high-quality development of intangible cultural heritage e-commerce, as well as the digital inheritance and market-oriented operation of Guizhou Miao Embroidery.
参考文献
|
[1]
|
中共中央 国务院关于锚定农业农村现代化 扎实推进乡村全面振兴的意见[EB/OL]. https://www.gov.cn/yaowen/liebiao/202602/content_7056929.htm, 2026-02-03.
|
|
[2]
|
丁刘华, 叶欣梁, 孙瑞红. 邮轮旅游负面在线评论感知维度和语义网络研究[C]//中国旅游研究院. 2022中国旅游科学年会论文集: 旅游人才建设与青年人才培养. 2022: 799-811.
|
|
[3]
|
周晋司, 王贵文. 乡村振兴背景下黔东南非遗苗绣文旅产品创新设计路径研究[J]. 中外文化交流, 2024(12): 152-154.
|
|
[4]
|
阳辽宇. 区域经济视角下广西非遗电商助力乡村振兴的路径探究[J]. 西部皮革, 2026, 48(6): 75-77.
|
|
[5]
|
黄文彦, 劳陈峰. 网络口碑质量对顾客感知价值和购买意愿的影响研究[J]. 消费经济, 2013, 29(5): 48-53.
|
|
[6]
|
周炀. 基于电商平台用户在线评论的消费者满意度驱动模型研究[D]: [硕士学位论文] 济南: 济南大学, 2025.
|
|
[7]
|
马燕, 彭昱. 生成式人工智能赋能教育的研究热点与趋势——基于LDA主题模型的文本挖掘分析[J]. 教育导刊, 2026(4): 33-43.
|
|
[8]
|
邓佳强, 陈欣, 刘佳雪, 等. 基于LDA主题模型的体育媒介仪式国际传播效果研究——以北京冬奥会的YouTube英文影评为例[J]. 中国传媒科技, 2026(2): 50-54.
|
|
[9]
|
Blei, D.M., Ng, A.Y. and Jordan, M.I. (2003) Latent Dirichlet Allocation. Journal of Machine Learning Research, 3, 993-1022.
|
|
[10]
|
朱鹏飞. 基于改进的SO-PMI算法与双通道卷积神经网络的文本情感分析[D]: [硕士学位论文]. 南昌: 南昌大学, 2020.
|
|
[11]
|
徐兴花. 贵州苗绣数字化生产驱动经济发展的路径与机制研究[J]. 现代商业, 2026(7): 137-140.
|
|
[12]
|
李同, 袁筱蓉. 人工智能赋能下的非遗创新传播路径研究——以贵州苗绣为例[J]. 新闻世界, 2026(4): 111-114.
|