心理学
独创性
声誉
产品(数学)
价值(数学)
广告
批评
社会心理学
营销
业务
计算机科学
创造力
社会学
艺术
机器学习
文学类
社会科学
数学
几何学
作者
Bettina Lis,Maximilian Fischer
出处
期刊:Journal of Product & Brand Management
[Emerald Publishing Limited]
日期:2020-01-22
卷期号:29 (5): 637-653
被引量:38
标识
DOI:10.1108/jpbm-05-2018-1876
摘要
Purpose This study aims to investigate if different types of negative electronic word-of-mouth (eWOM) have various negative effects on the attitude of the consumer toward a product (Laptop) and whether this newfound attitude remains unaffected by the subsequent influence of positive eWOM. Design/methodology/approach A quantitative study in Germany was conducted. In the two-part experimental setting, first, a factorial repeated-measures between-subjects design was used in which the types of negative eWOM have been manipulated. The second part is characterized by a mixed between–within subjects design to test the durability of attitudinal changes. Findings The results demonstrate that destructive and ethical eWOM only provoke a small decline in consumer attitude compared to functional product criticism. Furthermore, the examination shows that renewed positive eWOM can improve the attitude, whereas ethical criticism is the most difficult to correct. Research limitations/implications The study views negative eWOM differentiated. Researchers could adopt this approach by analyzing online communication more precisely. Ambivalent relationships between negative eWOM and their outcomes can be explained. Practical implications The findings lessen the fear of permanent loss of brand reputation caused by negative reviews. The harmful effects on the attitude can be compensated through targeted marketing management actions. The study shows which content companies need to focus on. Originality/value Previous literature has predominantly overlooked the complex nature of negative eWOM. Therefore, the study provides first empirical results about the divergent effect of different content types of negative eWOM on consumer attitude toward a product. Additionally, the durability of consumer negativity could be measured over time.
科研通智能强力驱动
Strongly Powered by AbleSci AI