Helpfulness of Online Consumer Reviews: Readers' Objectives and Review Cues

By Hyunmi Baek, Joongho Ahn, Young-Sim Choi. International Journal of Electronic Commerce, 2012

584 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems and Management, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/88ef40e9e45caa4aa94d8ea7ac6cca97a320e8d4

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Citations in the corpus

Perceived helpfulness of eWOM: Emotions, fairness and rationality (2020, background): “However, it is not recommended to exclusively adopt such an approach as in this case review helpfulness is measured only by those consumers who engage in this behavior, thus findings may not be generalizable to review readers who do not vote on review helpfulness (Baek et al., 2012).”
What makes a useful online review? Implication for travel product websites. (2015, unknown): “The researchers of this study manually checked if members indicate their full names or just provide initials (e.g., M. T.) (see Baek et al., 2013; Forman et al., 2008; Racherla & Friske, 2012).”
The Effect of Electronic Word of Mouth Communications on Intention to Buy: A Meta-Analysis (2019, unknown): “For instance, for expensive product and search goods, consumers can be advised to provide more detailed information about their experience (Baek et al. 2012).”
A big data exploration of the informational and normative influences on the helpfulness of online restaurant reviews (2021, background): “Previous research reveals review helpfulness can be influenced by the star rating given to the product or service (e.g., Baek, Ahn, & Choi, 2012; Mudambi & Schuff, 2010), review valence (e.g., Agnihotri & Bhattacharya, 2016; Fresneda & Gefen, 2019), argument quality (e.g., Fresneda & Gefen, 2019;…”
Consumer perceptions of information helpfulness and determinants of purchase intention in online consumer reviews of services (2018, background): “focused on review text characteristics adopted datasets of customer reviews from e-tailers, measuring review length, readability, and linguistic correctness [4, 16, 30, 38, 52, 54, 59, 62].”
A study of factors that contribute to online review helpfulness (2015, background): “Related literature discusses how credibility leads to trustworthy advice that is perceived by the audience (Belch & Belch, 1994; Bochner & Insko, 1966; Goldsmith et al., 2000; Ohanian, 1990; Goldberg & Hartwick, 1990).”
Exploring the comparative importance of online hotel reviews’ heuristic attributes in review helpfulness: a conjoint analysis approach (2017, unknown): “Additionally, one more heuristic attribute, review length, categorized in review-related attributes, is adopted in the study, although this attribute is sometimes considered as one type of systematic attribute by some researchers (e.g., Baek et al., 2012; Yin et al., 2014).”