Article
Details
Citation
Budhathoki M, Lincen L, Xu H, Zhang W, Li S, Newton R, Campbell D & Little D (2024) Understanding farmed salmon imports and e-commerce consumer satisfaction in China: A text mining approach. Journal of Agriculture and Food Research, 18, Art. No.: 101342. https://doi.org/10.1016/j.jafr.2024.101342
Abstract
Salmon, a luxury aquatic species, has seen a steady increase in imports in China. The rapid development of the Internet, the transformation of consumption behaviour, and the impact of the COVID-19 pandemic have prompted consumers to purchase salmon products from e-commerce platforms in China. In this context, understanding salmon import trends and consumer satisfaction with salmon e-commerce is critical to promoting and sustaining sales of salmon products through e-commerce platforms. Therefore, this study aims to investigate the import trend analysis of salmon in China as well as understand factors influencing consumer satisfaction with salmon e-commerce. We analysed 10,064 consumer comments out of 25,763 for this study after resampling the proportion of positive/negative comments. Sentiment analyser, Textblob, classified 65.2 % of consumer comments as positive, 21.7 % as negative, and 13.1 % as neutral. Additionally, Latent Dirichlet Allocation (LDA) topic modelling identified five areas critical for satisfaction with salmon e-commerce: purchase decision (19.5 % of the comments), eating experience (22.3 %), service quality and delivery (20.6 %), purchase history (17.5 %), and general product quality (20 %). Our findings indicate that service quality and delivery are the most critical factors affecting consumer satisfaction, whereas purchase history has the least impact. Consumers¡¯ PLUS membership profile, salmon product style, and preservation form had a significant influence on consumer satisfaction, while the country of origin, weight and price of the product had no significant influence. Salmon e-commerce platforms need to improve logistic service and delivery quality to influence consumer satisfaction.
Keywords
Salmon e-commerce; Text mining; Sentiment analysis; COVID-19; Online comment; China
Journal
Journal of Agriculture and Food Research: Volume 18
Status | Published |
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Funders | |
Publication date | 31/12/2024 |
Publication date online | 05/08/2024 |
Date accepted by journal | 03/08/2024 |
URL | |
Publisher | Elsevier BV |
ISSN | 0036-8075 |
eISSN | 1095-9203 |
People (5)
PhD Researcher, Institute of Aquaculture
Professor, Economics
Senior Lecturer in Translation Studies, French
Professor, Institute of Aquaculture
Lecturer in Resilient Food Systems, Institute of Aquaculture