Online Review Helpfulness : The Role of Review-related Features and Product Type
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Title of host publication | ICIS 2021 Proceedings |
Publisher | Association for Information Systems |
ISBN (print) | 978-1-7336325-9-1 |
Publication status | Published - Dec 2021 |
Publication series
Name | International Conference on Information Systems, ICIS |
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Conference
Title | 42nd International Conference on Information Systems (ICIS 2021) |
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Place | United States |
City | Austin |
Period | 12 - 15 December 2021 |
Link(s)
Document Link | Links
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Link to Scopus | https://www.scopus.com/record/display.uri?eid=2-s2.0-85192389120&origin=recordpage |
Permanent Link | https://scholars.cityu.edu.hk/en/publications/publication(03d9dc39-fcbd-4a5b-9fb0-c42fdc3646ea).html |
Abstract
Understanding what makes a review helpful is important for consumers and online retailers. However, empirical research has shown mixed findings regarding the effect of review length on review helpfulness. Additionally, review helpfulness has not been studied adequately in terms of review-related features (syntactic complexity, cohesion, review quantity). Drawing on the elaboration likelihood model, this study developed a research model that incorporates four review-related features and product type. Specifically, we posit that four review-related features (i.e., syntactic complexity, cohesion, review length, and review quantity) impact review helpfulness differentially. These relationships vary depending on product type. To validate the research model, we collected a dataset from Amazon.com to conduct data analysis. This research will not only contribute to a better understanding of review-related features that affect review helpfulness but also provides practical insights to online platforms and consumers regarding how to select and write a helpful review.
Research Area(s)
- elaboration likelihood model, Online review, product type, review helpfulness, review-related features
Citation Format(s)
Online Review Helpfulness: The Role of Review-related Features and Product Type. / Yang, Yumeng; Xu, David.
ICIS 2021 Proceedings. Association for Information Systems, 2021. 1468 (International Conference on Information Systems, ICIS).
ICIS 2021 Proceedings. Association for Information Systems, 2021. 1468 (International Conference on Information Systems, ICIS).
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review