情感(语言学)
价值(数学)
可读性
产品(数学)
心理学
营销
多样性(政治)
广告
业务
计算机科学
社会学
数学
沟通
机器学习
程序设计语言
人类学
几何学
作者
Yiru Wang,Xun Xu,Christina A. Kuchmaner,Ran Xu
摘要
Abstract Consumers are choosing to purchase food products from retailers through online channels rather than brick‐and‐mortar channels. While online reviews play a crucial role in influencing online purchases, scant work has examined how consumers write reviews for food products. We argue that the nutritional value of the food is a key aspect of product performance and apply expectation‐disconfirmation theory to examine whether pre‐purchase expectations about a food product's nutritional value and disconfirmation of these expectations have a significant effect on online review content and linguistic characteristics. Using text‐mining approaches to analyze Amazon data, we find that pre‐purchase expectations, postpurchase performance, and disconfirmation regarding nutritional value affect both review content and linguistic characteristics, including review length, diversity, readability, subjectivity, and sentiment. While research suggests that postpurchase product performance is the main influence on online review writing behavior, this research shows that the pre‐purchase phase also plays a key role.
科研通智能强力驱动
Strongly Powered by AbleSci AI