Leveraging online review tags: when experiential tags improve helpfulness – and when they don't
Purpose This research examines how attribute-based and experience-based review tags are associated with review helpfulness in online consumer reviews (OCRs), drawing on accessibility-diagnosticity theory (ADT). Design/methodology/approach We conceptualize review tags as platform-curated cues and test hypotheses on 8,119 OCRs of 12 smartphone models from BestBuy.com, using logistic and zero-inflated negative binomial regression, with predictive analytics as robustness checks. Findings Experience-based tags show a stronger association with review helpfulness than attribute-based tags, though this association exhibits diminishing returns as tags accumulate and is stronger for higher- than lower-involvement products. Originality/value This research extends ADT from review-level content to tag-level interface cues, showing that tag's informational orientation, not merely presence or number, shapes review helpfulness, offering guidance as platforms rely on automated tagging.
Authors
- Jong Hwan Suh (ORCID: https://orcid.org/0000-0002-5465-1103)
- Donghee Yoo (ORCID: https://orcid.org/0000-0002-4063-6586)
- Jaebong Son (ORCID: https://orcid.org/0000-0002-5334-3117)
- Chang Heon Lee (ORCID: https://orcid.org/0000-0002-3906-8462)
- Jianliang Hao (ORCID: https://orcid.org/0009-0008-9407-2959)
Institutions
- Gyeongsang National University (KR)
- California State University, Chico (US)
- California State University, Fresno (US)
Publication Details
- Journal
- Marketing Intelligence & Planning
- Published
- 2026-10-09
- DOI
- https://doi.org/10.1108/mip-12-2025-0950
- Primary Topic
- Digital Marketing and Social Media
- Type
- article
- Field-Weighted Citation Impact
- 0.00