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How Review Trust and Digital Reputation Affect Review Adoption: An Expansion of the Elaboration Likelihood Model

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E-Business. New Challenges and Opportunities for Digital-Enabled Intelligent Future (WHICEB 2024)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 517))

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Abstract

More and more people are getting travel information through various types of travel social sharing platform(TSSP). Digital reputation is an essential trait of social media; the higher the digital reputation, the more likely are TSSP to be trusted by users for social media reviews to be adopted. We used an elaboration likelihood model that measures the impact of peripheral cues (e.g., digital reputation) and corresponding central cues (e.g., review trust) related to social presence on TSSP on travelers’ review adoption behavior. We empirically analyzed 539 respondents who adopted travel reviews via TSSP. Our findings suggest that review trust has a positive impact on perceived usefulness, and digital reputation has a positive impact on perceived usefulness. Perceived usefulness has a significant positive effect on travel review adoption. Finally, it was found that TSSP members’ perceived level of trust in review and digital reputation varied depending on the level of social presence.

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Acknowledgement

This research was supported by the Youth Foundation Project of Wuhan Donghu University (2023dhsk003) and Party Building - Ideological - Political Work Research Center Project of Private Universities (DJSZY23010).

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Authors and Affiliations

  1. School of Management, Wuhan Donghu University, Wuhan, 430212, China

    Jiali Li & Liubo Hu

Authors
  1. Jiali Li
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  2. Liubo Hu
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Correspondence to Jiali Li .

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Editors and Affiliations

  1. University of Calgary, Calgary, AB, Canada

    Yiliu Paul Tu

  2. China University of Geosciences, Wuhan, China

    Maomao Chi

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Li, J., Hu, L. (2024). How Review Trust and Digital Reputation Affect Review Adoption: An Expansion of the Elaboration Likelihood Model. In: Tu, Y.P., Chi, M. (eds) E-Business. New Challenges and Opportunities for Digital-Enabled Intelligent Future. WHICEB 2024. Lecture Notes in Business Information Processing, vol 517. Springer, Cham. https://doi.org/10.1007/978-3-031-60324-2_7

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  • DOI: https://doi.org/10.1007/978-3-031-60324-2_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-60326-6

  • Online ISBN: 978-3-031-60324-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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