Electronic word of mouth (eWOM)

By Mira Lee, Seounmi Youn. 2009

371 citations recorded by the source corpus.

Subfields: Marketing, Sociology and Political Science, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/fa67305eeaa27614e087dbe15aa108bb9a032eb4

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Marketing

In Sociology and Political Science

In Human-Computer Interaction

Citations in the corpus

Determinants of consumer engagement in electronic word-of-mouth (eWOM) in social networking sites (2011, background): “Lastly, Lee and Youn (2009) found that eWOM platforms have an impact on consumer product judgement.”
The influence of online information on investing decisions of reward-based crowdfunding (2017, methodology): “The elaboration likelihoodmodel (ELM) is amajor theoretical model used in online behavior research (Cheng and Ho, 2015; Chu and Kamal, 2008; Gupta and Harris, 2005; Ho and Bodoff, 2014; Shih, Lai, and Cheng, 2013; Park and Kim, 2008; Lee and Youn, 2009; Sher and Lee, 2009).”
What does the brand say? Effects of brand feedback to negative eWOM on brand trust and purchase intentions (2018, background): “And because negative cues (and the risk associated with making a bad purchase) are more salient than positive cues, negative eWOM is often more persuasive than positive eWOM (e.g. Lee, Rodgers, and Kim 2009; Lee and Youn 2009; Park and Lee 2009).”
What We Know and Don't Know about Online Word-of-Mouth: A Review and Synthesis of the Literature (2014, background): “…such as discussion forums (e.g., Andreassen and Streukens 2009; Cheung et al. 2009), UseNet groups (e.g., Godes and Mayzlin 2004), product reviews (Lee and Youn 2009; Sen and Lerman 2007; Tirunillai and Tellis 2012), blogs (Dhar and Chang 2009; Kozinets et al. 2010; Thorson and Rodgers 2006),…”
Young people's use of online social networking sites – a uses and gratifications perspective (2010, background): “Unlike tradition offline WOM, eWOM often occurs between consumers with little or no prior relationship and indeed may occur in total anonymity (Lee and Youn, 2009).”
Word of Mouth: What We Know and What We Have Yet to Learn (2013, neutral): “…communities (e.g. YouTube, Pinterest), blogs (e.g. WordPress), microblogs (Twitter), and various other electronic means of sharing communications about products (Lee and Youn 2009; Okazaki 2009; Prendergast, Ko, and Siu Yin 2010; Shu-Chuan and Yoojung 2011; Strutton, Taylor, and Thompson 2011).”
Personal or Product Reputation? Optimizing Revenues in the Sharing Economy (2019, background): “Generally, literature investigating the impacts of product reviews on choices, intentions, and sales is quite vast (e.g., Chevalier and Mayzlin 2006; Sen and Lerman 2007; Lee and Youn 2009; Tirunillai and Tellis 2012).”
Consumer attitudes toward blogger's sponsored recommendations and purchase intention: The effect of sponsorship type, product type, and brand awareness (2014, background): “Some consumers post product reviews on online platforms where others can instantly read the information provided by peer consumers (Lee & Youn, 2009).”
A Literature Review of Word of Mouth and Electronic Word of Mouth: Implications for Consumer Behavior (2017, background): “It is thus considered one of the most inﬂuential sources of information about products and services (Lee and Youn, 2009).”
Online Reviews (2016, background): “It can raise consumers’ awareness for a product/service and boost sales (Chevalier and Mayzlin 2006 ; Godes and Mayzlin 2004; Park and Lee 2009; Lee and Youn 2009).”
Evaluation and decision making in social media marketing (2017, background): “…their social media presence because they appreciate the need to engage in existing social media conversations in order to protect their corporate or brand reputation (Lee and Youn, 2009), increase customer engagement (Gummerus et al., 2012) or increase online sales (Tsimonis and Dimitriadis, 2014).”
The Effect of Electronic Word of Mouth Communications on Intention to Buy: A Meta-Analysis (2019, neutral): “…and Michaud (2015) Trust in message, valence, quality of website, purchase intention Experimental survey, MANOVA 800 students Canada Hotels 29 Lee and Youn (2009) Valence, eWOM platform, purchase intention, eWOM scepticism, causal attributions Experimental survey, MANCOVA 247 undergraduate…”
The multidimensional nature and brand impact of user-generated ad parodies in social media (2011, background): “While much of the interest in uGC has centred on product reviews (e.g. Chevalier & Mayzlin 2006; Lee & Youn 2009), little attention has been paid to ad parodies that appear on popular content-sharing websites where users share funny and entertaining videos.”