Exploring consumer sentiments and opinions in wine E-commerce: A cross-country comparative study

被引:0
作者
Rui, Mingze [1 ]
Sparacino, Antonina [1 ]
Merlino, Valentina Maria [1 ]
Brun, Filippo [1 ]
Massaglia, Stefano [1 ]
Blanc, Simone [1 ]
机构
[1] Univ Turin, Dept Agr Forest & Food Sci, Largo Paolo Braccini 2, I-10095 Turin, Italy
关键词
wine e-commerce; online reviews; sentiment analysis; HEDONIC PRICE ANALYSIS; WEB SITES; ONLINE; EMOTIONS; QUALITY; SEARCH; UK;
D O I
10.1016/j.jretconser.2024.104097
中图分类号
F [经济];
学科分类号
02 ;
摘要
Wine e-commerce has witnessed a substantial surge in popularity over the past decade, with China, the United Kingdom, and the United States emerging as pivotal players in the global wine market. E-commerce, crucial for the food sector especially post-COVID-19, influences consumer choices through reviews and feedback, significantly affecting consumer engagement, satisfaction, trust, and purchase intentions. Despite extensive research on consumer behavior, there's a gap in understanding post-purchase satisfaction, especially within wine e-commerce. This study aims to address this by examining wine consumer feedback on leading wine e-commerce platforms in three prominent markets: China, the UK, and the US. It aims to help online wine sellers in developing targeted marketing strategies to enhance consumer satisfaction and sales in each unique wine market. Through text mining, the study reveals market-specific differences in consumers' sentiments, preferences, and aversions arising from their online wine shopping experiences, providing a detailed guide for wine producers and e-commerce platforms to optimize their products and online services.
引用
收藏
页数:18
相关论文
共 117 条
  • [31] Text Mining with Network Analysis of Online Reviews and Consumers' Satisfaction: A Case Study in Busan Wine Bars
    Fu, Wei
    Choi, Eun-Kyong
    Kim, Hak-Seon
    [J]. INFORMATION, 2022, 13 (03)
  • [32] Giustiniano L., 2002, INT J BUS PERFORM MA, V4, P231
  • [33] Do You See It Clearly? The Effect of Packaging and Label Format on Google Ads
    Gomez-Carmona, Diego
    Cruces-Montes, Serafin
    Marin-Duenas, Pedro Pablo
    Serrano-Dominguez, Cesar
    Paramio, Alberto
    Garcia, Antonio Zayas
    [J]. JOURNAL OF THEORETICAL AND APPLIED ELECTRONIC COMMERCE RESEARCH, 2021, 16 (05): : 1648 - 1666
  • [34] Using Content Analysis to Characterise the Sensory Typicity and Quality Judgements of Australian Cabernet Sauvignon Wines
    Gonzaga, Lira Souza
    Capone, Dimitra L.
    Bastian, Susan E. P.
    Danner, Lukas
    Jeffery, David W.
    [J]. FOODS, 2019, 8 (12)
  • [35] Grootendorst M., 2022, PREPRINT, DOI [DOI 10.48550/ARXIV.2203.05794, 10.48550/arXiv.2203.05794]
  • [36] An empirical study of consumer switching from traditional to electronic channels: A purchase-decision process perspective
    Gupta, A
    Su, BC
    Walter, Z
    [J]. INTERNATIONAL JOURNAL OF ELECTRONIC COMMERCE, 2004, 8 (03) : 131 - 161
  • [37] A computational approach towards food-wine recommendations
    Gupta, Garima
    Katarya, Rahul
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2024, 238
  • [38] Habann Frank, 2018, International Journal of Internet Marketing and Advertising, V12, P255
  • [39] Text mining using nonnegative matrix factorization and latent semantic analysis
    Hassani, Ali
    Iranmanesh, Amir
    Mansouri, Najme
    [J]. NEURAL COMPUTING & APPLICATIONS, 2021, 33 (20) : 13745 - 13766
  • [40] Higuchi K., 2016, Ritsumeikan Social Science Review, V52, P77, DOI DOI 10.34382/00003706