RETRACTED: Impact of Factors of Online Deceptive Reviews on Customer Purchase Decision Based on Machine Learning (Retracted Article)

被引：4
|
作者：
Zhong, Minjuan [1 ]
Qu, Xilong [1 ]
Chen, Yuhua [1 ]
Liao, Shumei [2 ]
Xiao, Quan [2 ]
机构：
[1] Hunan Univ Finance & Econ, Sch Informat Technol, Changsha 410205, Peoples R China
[2] Jiangxi Univ Finance & Econ, Sch Informat Management, Nanchang 330013, Jiangxi, Peoples R China
来源：
JOURNAL OF HEALTHCARE ENGINEERING | 2021年 / 2021卷
基金：
美国国家科学基金会;
关键词：
WORD-OF-MOUTH; CONSUMER REVIEWS; MESSAGE; HELPFULNESS;
D O I：
10.1155/2021/7475022
中图分类号：
R19 [保健组织与事业（卫生事业管理）];
学科分类号：
摘要：
Online deceptive reviews widely exist in the online shopping environment. Numerous studies have investigated the impact of online product reviews on customer behaviour and sales. However, the existing literature is mainly based on real product reviews; only a few studies have investigated deceptive reviews. Based on the results of deceptive reviews, this article explores the factors that affect customer purchase decision in online review systems, which is flooded by deceptive reviews. Therefore, a deceptive review influence model is proposed based on three influential factors of online review system, sentiment characteristics, review length, and online seller characteristics. Based on them, text mining is used to quantify the indicators of the three influential factors. Through principal component analysis and linear regression, the experimental results of electronic appliances on Tmall show that the three influential factors are positively related to customers' purchase intention and decision making.
引用
收藏
页数：10
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