Effects of Online Product Review Characteristics on Information Adoption
| Autor: | Yao Zhang, Fengjun Sun, Lianzhuang Qu |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Knowledge management
Computer science business.industry 05 social sciences Context (language use) Usability 02 engineering and technology Adoption model Product reviews 020204 information systems 0502 economics and business 0202 electrical engineering electronic engineering information engineering Information system 050211 marketing business Consumer behaviour |
| Zdroj: | Advances in Intelligent Systems and Computing ISBN: 9789813345737 |
| DOI: | 10.1007/978-981-33-4572-0_31 |
| Popis: | As online product reviews (eWOM) become increasingly important in affecting online consumer decisions, it is critical to develop insights into consumer behavior of using eWOM. This paper examines how eWOM characteristics impact consumers’ use of online product reviews for purchase decisions. We develop a theoretical model drawing on the information adoption model and the information systems success model. We conduct a lab experiment to collect data and carry out our PLS-SEM analysis with Smart PLS. We find that eWOM characteristics influence consumer decisions via diagnosticity and ease of use. This research enhances our understandings on how eWOM characteristics influence consumer decisions. In addition, we apply the information adoption model and the information systems success model to the context of eWOM. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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