A Model of the Impacts of Online Product Review Features on Trust in Ecommerce
11th International Conference on Frontier Computing, FC 2021
; 827 LNEE:768-775, 2022.
Article
in English
| Scopus | ID: covidwho-1899033
ABSTRACT
The pandemic of COVID-19 makes consumers rely on e-commerce to an even higher extent. Since consumers utilize online product reviews (OPRs) for decision making, it is vital to study how various OPR features impact consumer behavior. This research proposes a model for understanding effects of OPR features on consumers’ trust based on HSM. For data collection, we carry out lab experiments and use PLS-SEM analysis to test the model. The results indicate that OPR features influence trust via usefulness of OPRs and attitude toward website. We contribute to the OPR literature by applying the HSM model to the context of OPRs. We also examine the interactions between heuristic mode and systematic mode. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Attitude toward website; OPR features; Trust in OPRs; Usefulness of OPRs; Consumer behavior; Decision making; Electronic commerce; Data collection; Decisions makings; E- commerces; Online product review feature; Online product reviews; Trust in online product review; Usefulness of online product review; Websites
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Type of study:
Experimental Studies
Language:
English
Journal:
11th International Conference on Frontier Computing, FC 2021
Year:
2022
Document Type:
Article
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