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Investigating the effect of quality of grammar and mechanics (QGAM) in online reviews: The mediating role of reviewer crediblity

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  • Ketron, Seth

Abstract

Grammar and mechanics are important components of written communication and provide signals of credibility. Although past research has documented general effects of grammar and mechanics, to date, the influence of quality of grammar and mechanics (QGAM) of online reviews remains largely unexamined. Through the lens of ELM, the present research examines QGAM of a review as a peripheral cue influencing the perceived credibility of a reviewer, finding that reviews with high QGAM have higher perceived credibility and exert a stronger influence on purchase intentions. Meanwhile, reviews with low QGAM are not as credible, influencing purchase intentions less. Product type, review length, and review valence moderate these influences, such that QGAM is more important for reviews of experience goods and reviews of shorter lengths. Further, reviewer credibility fully mediates positive reviews but does not mediate negative reviews. Implications, limitations, and future research directions are discussed.

Suggested Citation

  • Ketron, Seth, 2017. "Investigating the effect of quality of grammar and mechanics (QGAM) in online reviews: The mediating role of reviewer crediblity," Journal of Business Research, Elsevier, vol. 81(C), pages 51-59.
    • Handle: RePEc:eee:jbrese:v:81:y:2017:i:c:p:51-59
    DOI: 10.1016/j.jbusres.2017.08.008
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    2. Hui Zhao & Xiaoyuan Wang & Debing Ni & Kevin W. Li, 2023. "The Quality-Signaling Role of Manipulated Consumer Reviews," Group Decision and Negotiation, Springer, vol. 32(3), pages 503-536, June.
    3. Plotkina, Daria & Munzel, Andreas & Pallud, Jessie, 2020. "Illusions of truth—Experimental insights into human and algorithmic detections of fake online reviews," Journal of Business Research, Elsevier, vol. 109(C), pages 511-523.
    4. Na Zhang & Ping Yu & Yupeng Li & Wei Gao, 2022. "Research on the Evolution of Consumers’ Purchase Intention Based on Online Reviews and Opinion Dynamics," Sustainability, MDPI, vol. 14(24), pages 1-26, December.
    5. Lutz, Bernhard & Pröllochs, Nicolas & Neumann, Dirk, 2022. "Are longer reviews always more helpful? Disentangling the interplay between review length and line of argumentation," Journal of Business Research, Elsevier, vol. 144(C), pages 888-901.

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