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The Interaction Effect of Type of Message X YouTuber’s Media Metrics on Customers’ Responses and the Moderation of Conformity Intention

Author

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  • Melby Karina Zuniga Huertas

    (Department of Management, Centro Universitário da Fei, São Paulo 09850-901, Brazil)

  • Tarcisio Duarte Coelho

    (Department of Management, Centro Universitário da Fei, São Paulo 09850-901, Brazil
    Department of Management, Toledo Prudente Centro Universitário, Presidente Prudente, São Paulo 19030-000, Brazil)

Abstract

This is a study of the way in which YouTubers’ media metrics influence the effect of their one-sided messages (1SMs) and two-sided messages (2SMs), providing theoretical explanations based on the elaboration likelihood model. Its main objective is the proposition and testing of: (i) the interaction effect between type of message and media metrics of the YouTuber on customers’ responses, and (ii) the moderation of individuals’ conformity intention for the interaction effect between type of message and media metrics on customers’ responses. The results of an experiment showed that high YouTubers’ media metrics have more effect for 1SMs and less effect for 2SMs. Additionally, conformity intention moderates the effect of the interaction type of message X media metrics. A high level of conformity intention neutralizes the interaction effect between YouTubers’ media metrics and message sidedness. This study makes a theoretical contribution to research into online content and information use, providing explanations of how media metrics of a vlog influence the effect of two types of messages.

Suggested Citation

  • Melby Karina Zuniga Huertas & Tarcisio Duarte Coelho, 2019. "The Interaction Effect of Type of Message X YouTuber’s Media Metrics on Customers’ Responses and the Moderation of Conformity Intention," Future Internet, MDPI, vol. 11(6), pages 1-17, June.
    • Handle: RePEc:gam:jftint:v:11:y:2019:i:6:p:135-:d:241485
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    References listed on IDEAS

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    1. Stefania Collodi & Sara Panerati & Enrico Imbimbo & Federica Stefanelli & Mirko Duradoni & Andrea Guazzini, 2018. "Personality and Reputation: A Complex Relationship in Virtual Environments," Future Internet, MDPI, vol. 10(12), pages 1-14, December.
    2. Crowley, Ayn E & Hoyer, Wayne D, 1994. "An Integrative Framework for Understanding Two-Sided Persuasion," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 20(4), pages 561-574, March.
    3. W. Wayne Fu & Clarice C. Sim, 2011. "Aggregate bandwagon effect on online videos' viewership: Value uncertainty, popularity cues, and heuristics," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(12), pages 2382-2395, December.
    4. W. Wayne Fu & Clarice C. Sim, 2011. "Aggregate bandwagon effect on online videos' viewership: Value uncertainty, popularity cues, and heuristics," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(12), pages 2382-2395, December.
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