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A study on the influence of online reviews of new products on consumers’ purchase decisions: An empirical study on JD.com
With the prevalence of the Internet and new media channels, consumer reviews have become one of the main determinants of Consumers’ purchasing decisions. This paper uses the Latent Dirichlet Allocation (LDA) model to identify the key factors that are of major concern to consumers, including design f...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9505699/ http://dx.doi.org/10.3389/fpsyg.2022.983060 |
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author | Kang, Min Sun, Bing Liang, Tian Mao, Hong-Ying |
author_facet | Kang, Min Sun, Bing Liang, Tian Mao, Hong-Ying |
author_sort | Kang, Min |
collection | PubMed |
description | With the prevalence of the Internet and new media channels, consumer reviews have become one of the main determinants of Consumers’ purchasing decisions. This paper uses the Latent Dirichlet Allocation (LDA) model to identify the key factors that are of major concern to consumers, including design factors, laptop setup factors, logistics factors, after-sales factors, and user experience factors. And, we classify these factors into product quality factors and supporting service factors for new products. We then explore the relationship between online reviews and purchase decisions under these different factors, and also further explore the impact of interactions between online review metrics on purchase decisions. Our findings suggest that the impact of online reviews on consumer purchase decisions also varies considerably across different consumer focus factors. In addition, we find that the impact of the interaction between online review features is complex. In particular, consumers do not follow the positive guidance and make purchase decisions as we would expect when confronted with a large number of positive emotional polarity online reviews. Meanwhile, the interaction between negative emotional polarity and variance of online reviews had no significant effect on consumer purchase decisions. The variance of online reviews has a limited role in reducing consumer risk perceptions triggered by negative emotional polarity. Our study provides new evidence for the study of the impact of online reviews through text mining. |
format | Online Article Text |
id | pubmed-9505699 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-95056992022-09-24 A study on the influence of online reviews of new products on consumers’ purchase decisions: An empirical study on JD.com Kang, Min Sun, Bing Liang, Tian Mao, Hong-Ying Front Psychol Psychology With the prevalence of the Internet and new media channels, consumer reviews have become one of the main determinants of Consumers’ purchasing decisions. This paper uses the Latent Dirichlet Allocation (LDA) model to identify the key factors that are of major concern to consumers, including design factors, laptop setup factors, logistics factors, after-sales factors, and user experience factors. And, we classify these factors into product quality factors and supporting service factors for new products. We then explore the relationship between online reviews and purchase decisions under these different factors, and also further explore the impact of interactions between online review metrics on purchase decisions. Our findings suggest that the impact of online reviews on consumer purchase decisions also varies considerably across different consumer focus factors. In addition, we find that the impact of the interaction between online review features is complex. In particular, consumers do not follow the positive guidance and make purchase decisions as we would expect when confronted with a large number of positive emotional polarity online reviews. Meanwhile, the interaction between negative emotional polarity and variance of online reviews had no significant effect on consumer purchase decisions. The variance of online reviews has a limited role in reducing consumer risk perceptions triggered by negative emotional polarity. Our study provides new evidence for the study of the impact of online reviews through text mining. Frontiers Media S.A. 2022-09-09 /pmc/articles/PMC9505699/ http://dx.doi.org/10.3389/fpsyg.2022.983060 Text en Copyright © 2022 Kang, Sun, Liang and Mao. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychology Kang, Min Sun, Bing Liang, Tian Mao, Hong-Ying A study on the influence of online reviews of new products on consumers’ purchase decisions: An empirical study on JD.com |
title | A study on the influence of online reviews of new products on consumers’ purchase decisions: An empirical study on JD.com |
title_full | A study on the influence of online reviews of new products on consumers’ purchase decisions: An empirical study on JD.com |
title_fullStr | A study on the influence of online reviews of new products on consumers’ purchase decisions: An empirical study on JD.com |
title_full_unstemmed | A study on the influence of online reviews of new products on consumers’ purchase decisions: An empirical study on JD.com |
title_short | A study on the influence of online reviews of new products on consumers’ purchase decisions: An empirical study on JD.com |
title_sort | study on the influence of online reviews of new products on consumers’ purchase decisions: an empirical study on jd.com |
topic | Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9505699/ http://dx.doi.org/10.3389/fpsyg.2022.983060 |
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