Literature DB >> 19072076

How consumers evaluate eWOM (electronic word-of-mouth) messages.

Sun-Jae Doh1, Jang-Sun Hwang.   

Abstract

This experiment explored how consumers evaluate electronic word-of-mouth (eWOM) messages about products. Each participant was exposed a 10-message set in a single board. Five groups were manipulated in terms of their ratios of positive and negative messages. The result showed significant differences across various sets of eWOM messages. Although more positive sets showed higher scores in many cases, this was not true in all situations, especially for the case of credibility. Involvement and prior knowledge partially moderated the relationship between the ratio of messages and the eWOM effect. The credibility of Web sites and eWOM messages can be damaged in the long run if all of the eWOM messages are positive.

Entities:  

Mesh:

Year:  2009        PMID: 19072076     DOI: 10.1089/cpb.2008.0109

Source DB:  PubMed          Journal:  Cyberpsychol Behav        ISSN: 1094-9313


  5 in total

1.  "It's Just Addictive People That Make Addictive Videos": Children's Understanding of and Attitudes Towards Influencer Marketing of Food and Beverages by YouTube Video Bloggers.

Authors:  Anna Elizabeth Coates; Charlotte Alice Hardman; Jason Christian Grovenor Halford; Paul Christiansen; Emma Jane Boyland
Journal:  Int J Environ Res Public Health       Date:  2020-01-09       Impact factor: 3.390

2.  The Effect of Reviewer Profile Photo on Purchase Decision: Evidence from Event-Related Potentials.

Authors:  Xiaoli Tang; Zhijie Song
Journal:  Adv Cogn Psychol       Date:  2021-01-13

3.  The interplay between eWOM information and purchase intention on social media: Through the lens of IAM and TAM theory.

Authors:  Md Atikur Rahaman; H M Kamrul Hassan; Ahmed Al Asheq; K M Anwarul Islam
Journal:  PLoS One       Date:  2022-09-06       Impact factor: 3.752

4.  Evaluating the impact of social media on online shopping behavior during COVID-19 pandemic: A Bangladeshi consumers' perspectives.

Authors:  Md Rukon Miah; Afzal Hossain; Rony Shikder; Tama Saha; Meher Neger
Journal:  Heliyon       Date:  2022-09-16

5.  The Impacts of Attitudes and Engagement on Electronic Word of Mouth (eWOM) of Mobile Sensor Computing Applications.

Authors:  Yu Zhao; Yide Liu; Ivan K W Lai; Hongfeng Zhang; Yi Zhang
Journal:  Sensors (Basel)       Date:  2016-03-18       Impact factor: 3.576

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.