Credibility of Electronic Word-of-Mouth: Informational and Normative Determinants of On-line Consumer Recommendations

By Man Yee Cheung, Chuan Luo, C. Sia, Hua-ping Chen. International Journal of Electronic Commerce, 2009

1,276 citations recorded by the source corpus.

Subfields: Communication, Information Systems and Management, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/49bbe782d7a168fae355973edeadb4518d5d3953

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Citations in the corpus

Balance and Sequence in Online Reviews: How Perceived Usefulness Affects Attitudes and Intentions (2012, background): “We argue that, as consumers usually realize that each product/service has its strengths and weaknesses, reading both positive and negative reviews can enhance the completeness of information (Cheung et al. 2009).”
Exploring the credibility of online celebrities' Instagram profiles in influencing the purchase decisions of young female users (2017, neutral): “Previous research (Cheung et al., 2009; Erkan & Evans, 2016; Hennin-Thurau et al., 2004; Kutthakaphan & Chokesamritpol, 2013) explored the use of Instagram and other types of social media with regard to eWOM, however, little research has been conducted to understand social identification of Instagra”
Are Consumers More Likely to Contribute Online Reviews for Hit or Niche Products? (2010, background): “Early, as well as recent, studies have focused on examining how consumer content influences peers and, in turn, sales [8, 9, 26, 35].”
Social Support, Source Credibility, Social Influence, and Impulsive Purchase Behavior in Social Commerce (2019, background): “To measure consumers’ trustworthiness, we trace their posting histories [23].”
Is This Review Believable? A Study of Factors Affecting the Credibility of Online Consumer Reviews from an ELM Perspective (2012, background): “Credibility is among the concerns about online consumer reviews; and reviews with high credibility positively impact the degree to which users adopt information (Cheung et al., 2009).”
Perceived fit and satisfaction on web learning performance: IS continuance intention and task-technology fit perspectives (2012, background): “The importance of VLS satisfaction for continuing web-based learning systems has long been noted (Chiu et al., 2007a, 2007b; Limayem and Cheung, 2008; Sørebø et al., 2009).”
The impact of electronic word-of-mouth communication: A literature analysis and integrative model (2012, background): “Dual-process theory [21] Elaboration Likelihood Model (ELM) [15,23,36,56,64,65,67,73] Heuristic–Systematic Model (HSM) [36,78] Interpersonal theory Persuasive [21,46,64,66,77]”
Conceptualising electronic word of mouth activity: An input‐process‐output perspective (2011, background): “Yale's model posited that these three major factors “influence participants' attention, comprehension, and acceptance of a message that could ultimately affect their opinions, perceptions, and actions” ( Cheung et al. , 2009, p. 13”
Effect of eWOM stimuli and eWOM response on perceived service quality and online recommendation (2020, background): “…of the eWOM content is found to affect a host of customer’s online behavioural outcomes such as eWOM credibility or trust, product judgment (Cheung et al., 2009), purchase intention (Cheung & Thadani, 2012; Roy et al., 2019), online sales (Chevalier & Mayzlin, 2006; Roy et al., 2017),…”