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Predicting eWOM’s Influence on Purchase Intention Based on Helpfulness, Credibility, Information Quality and Professionalism

Author

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  • Yen-Liang Chen

    (Department of Information Management, National Central University, Taoyuan City 32001, Taiwan)

  • Chia-Ling Chang

    (Department of Information and Library Science, TamKang University, New Taipei City 251, Taiwan)

  • An-Qiao Sung

    (Department of Information Management, National Central University, Taoyuan City 32001, Taiwan)

Abstract

Product reviews co-written by many Internet reviewers can help consumers make purchase decisions and provide a basis for companies to improve their business strategies. For the company, the most important thing is to understand how the various factors of reviews influence the purchase intention. Therefore, we took this issue as the core and investigated the influence of eWOM on purchase intention based on helpfulness, credibility, information quality and professionalism. We adopted feature filtering algorithms and proposed an ensemble model to integrate these classification results to obtain the most accurate prediction. The empirical evaluation shows that the models based on the four importan aspects of reviews can effectively predict the degree of impact of reviews on purchase intention.

Suggested Citation

  • Yen-Liang Chen & Chia-Ling Chang & An-Qiao Sung, 2021. "Predicting eWOM’s Influence on Purchase Intention Based on Helpfulness, Credibility, Information Quality and Professionalism," Sustainability, MDPI, vol. 13(13), pages 1-19, July.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:13:p:7486-:d:588673
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    References listed on IDEAS

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    1. Lei Li & Xue Song & Shujun Liu & Kun Huang, 2021. "Defining High-Quality Answers on a Chinese Tourism Q&A Platform in Terms of Information Needs," Sustainability, MDPI, vol. 13(24), pages 1-21, December.

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