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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.
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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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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