负效应
心理学
概念框架
领域(数学分析)
主题(文档)
引用
计算机科学
知识管理
数据科学
营销
业务
认知心理学
社会学
万维网
社会科学
数学分析
数学
作者
Nazan Colmekcioglu,Reza Marvi,Pantea Foroudi,Fevzi Okumuş
标识
DOI:10.1016/j.jbusres.2022.08.033
摘要
Negative online reviews can drastically influence consumer behavior and business strategies. Recent attention on the subject demonstrates its importance in the consumer and marketing literature. Even so, no study quantitatively investigates the corpus of the literature. This study quantitatively and systematically investigates the foundational research streams of negative online reviews to identify influential sources and main areas of knowledge in the domain. The study employs an integration of text mining and co-citation analysis, recognizing that firms’ responses to negative online reviews cannot be analyzed without understanding the role of customers. Accordingly, this study generates insight into customers and firms in each negative online review stage, furnishing a conceptual framework that synthesizes the previous literature and highlights the most important research gaps requiring attention. Ultimately, the conceptual framework can guide future researchers in unfolding new and novel directions to expand the boundaries of the negative online review literature.
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