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Consumers’ satisfaction factors mining and sentiment analysis of B2C online pharmacy reviews
BACKGROUND: In recent years, online pharmacies have been accepted by increasingly more consumers, and the prospects for online pharmacies are optimistic. This article explores the consumers’ satisfaction factors addressed in Business to Customer (B2C) online pharmacy reviews and analyzes the sentime...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7433132/ https://www.ncbi.nlm.nih.gov/pubmed/32807175 http://dx.doi.org/10.1186/s12911-020-01214-x |
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author | Liu, Jingfang Zhou, Yingyi Jiang, Xiaoyan Zhang, Wei |
author_facet | Liu, Jingfang Zhou, Yingyi Jiang, Xiaoyan Zhang, Wei |
author_sort | Liu, Jingfang |
collection | PubMed |
description | BACKGROUND: In recent years, online pharmacies have been accepted by increasingly more consumers, and the prospects for online pharmacies are optimistic. This article explores the consumers’ satisfaction factors addressed in Business to Customer (B2C) online pharmacy reviews and analyzes the sentiments expressed in the reviews. The goal of this work is to help B2C online pharmacy enterprises identify consumers’ concerns, continuously improve the health services level. METHODS: This article was based on the Latent Dirichlet Allocation (LDA) topic model. From a third-party platform-based B2C online pharmacy and a proprietary B2C online pharmacy (JD Pharmacy and J1.COM, respectively), 136,630 pieces of over-the-counter (OTC) drug review data posted from January 1, 2015 to December 31, 2018 were selected as samples and used to explore the satisfaction factors of B2C online pharmacy consumers regarding the entire drug purchasing process. Then, the sentiments expressed in the drug reviews were analyzed with SnowNLP. RESULT: Categorization of the 12 factors identified by LDA showed that 5 factors were related to logistics; these 5 factors, which also included the most drug reviews, made up 38.5% of the reviews. The number of factors related to drug prices was second, with 3 factors, and reviews of drug prices made up 25.5% of the reviews. Customer service and drug effects each had two related factors, and a smaller percentage of these reviews (13.95%) were related to drug effects. Consumers still maintain positive opinions of JD Pharmacy and J1.COM. However, some opinions on logistics and drug prices are expressed. CONCLUSION: The most important task for online pharmacies is to improve logistics. It is better to develop self-built logistics. Both types of B2C online pharmacies can improve consumer viscosity by implementing marketing strategies. With regard to customer service, focusing on improving employees’ service attitudes is necessary. |
format | Online Article Text |
id | pubmed-7433132 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-74331322020-08-19 Consumers’ satisfaction factors mining and sentiment analysis of B2C online pharmacy reviews Liu, Jingfang Zhou, Yingyi Jiang, Xiaoyan Zhang, Wei BMC Med Inform Decis Mak Research Article BACKGROUND: In recent years, online pharmacies have been accepted by increasingly more consumers, and the prospects for online pharmacies are optimistic. This article explores the consumers’ satisfaction factors addressed in Business to Customer (B2C) online pharmacy reviews and analyzes the sentiments expressed in the reviews. The goal of this work is to help B2C online pharmacy enterprises identify consumers’ concerns, continuously improve the health services level. METHODS: This article was based on the Latent Dirichlet Allocation (LDA) topic model. From a third-party platform-based B2C online pharmacy and a proprietary B2C online pharmacy (JD Pharmacy and J1.COM, respectively), 136,630 pieces of over-the-counter (OTC) drug review data posted from January 1, 2015 to December 31, 2018 were selected as samples and used to explore the satisfaction factors of B2C online pharmacy consumers regarding the entire drug purchasing process. Then, the sentiments expressed in the drug reviews were analyzed with SnowNLP. RESULT: Categorization of the 12 factors identified by LDA showed that 5 factors were related to logistics; these 5 factors, which also included the most drug reviews, made up 38.5% of the reviews. The number of factors related to drug prices was second, with 3 factors, and reviews of drug prices made up 25.5% of the reviews. Customer service and drug effects each had two related factors, and a smaller percentage of these reviews (13.95%) were related to drug effects. Consumers still maintain positive opinions of JD Pharmacy and J1.COM. However, some opinions on logistics and drug prices are expressed. CONCLUSION: The most important task for online pharmacies is to improve logistics. It is better to develop self-built logistics. Both types of B2C online pharmacies can improve consumer viscosity by implementing marketing strategies. With regard to customer service, focusing on improving employees’ service attitudes is necessary. BioMed Central 2020-08-17 /pmc/articles/PMC7433132/ /pubmed/32807175 http://dx.doi.org/10.1186/s12911-020-01214-x Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Liu, Jingfang Zhou, Yingyi Jiang, Xiaoyan Zhang, Wei Consumers’ satisfaction factors mining and sentiment analysis of B2C online pharmacy reviews |
title | Consumers’ satisfaction factors mining and sentiment analysis of B2C online pharmacy reviews |
title_full | Consumers’ satisfaction factors mining and sentiment analysis of B2C online pharmacy reviews |
title_fullStr | Consumers’ satisfaction factors mining and sentiment analysis of B2C online pharmacy reviews |
title_full_unstemmed | Consumers’ satisfaction factors mining and sentiment analysis of B2C online pharmacy reviews |
title_short | Consumers’ satisfaction factors mining and sentiment analysis of B2C online pharmacy reviews |
title_sort | consumers’ satisfaction factors mining and sentiment analysis of b2c online pharmacy reviews |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7433132/ https://www.ncbi.nlm.nih.gov/pubmed/32807175 http://dx.doi.org/10.1186/s12911-020-01214-x |
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