How viewing experience drives moviegoers on over the top platform: Investigating the patronized intention

  • Received November 13, 2021;
    Accepted February 28, 2022;
    Published March 12, 2022
  • Author(s)
  • DOI
    http://dx.doi.org/10.21511/im.18(1).2022.14
  • Article Info
    Volume 18 2022, Issue #1, pp. 168-180
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This work is licensed under a Creative Commons Attribution 4.0 International License

The emerging market of over the top (OTT) streaming platform has evolved the movie industry to a new challenge. Providing moviegoers with a good viewing experience is critical for success in the highly competitive OTT market. This study aimed to examine the antecedent of the viewing experience in the context of the OTT platform and the mediating role of viewing experience toward behavioral intentions in Indonesia. In conjunction with the viewing experience, this study also includes social media exposure and fear of missing out (FOMO) to predict behavioral intentions. PLS-SEM method was used to analyze the empirical data gathered through purposive sampling. A total of 438 eligible samples were obtained through a questionnaire distributed online. The results indicate that viewing experience is mainly influenced by movie attributes. Viewing experience also mediates behavioral intentions with an R-squared value of 0.629, indicating a strong effect. The theoretical and managerial implications of the study results are discussed. The study also aimed to ascertain how sound viewing experience, social media exposure, and fear of missing out predicts the intention to recommend movies, intention to recommend platforms, and intention to continue subscribing. Lastly, this study assessed which antecedent of viewing experience has the most significant impact on forming a good viewing experience.

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    • Figure 1. Conceptual framework
    • Figure 2. Result model
    • Figure 3. IPMA viewing experience
    • Table 1. Respondents’ demographic profiles
    • Table 2. Discriminant and construct validity
    • Table 3. Discriminant validity
    • Table 4. Hypotheses testing results
    • Table 5. Specific indirect effect
    • Conceptualization
      Christopher Nata, Ferdi Antonio, Monika Monika
    • Data curation
      Christopher Nata, Ferdi Antonio, Monika Monika
    • Formal Analysis
      Christopher Nata, Ferdi Antonio, Monika Monika
    • Funding acquisition
      Christopher Nata, Ferdi Antonio, Monika Monika
    • Investigation
      Christopher Nata, Ferdi Antonio, Monika Monika
    • Methodology
      Christopher Nata, Ferdi Antonio, Monika Monika
    • Project administration
      Christopher Nata, Monika Monika
    • Resources
      Christopher Nata, Monika Monika
    • Software
      Christopher Nata, Ferdi Antonio, Monika Monika
    • Validation
      Christopher Nata, Ferdi Antonio
    • Writing – original draft
      Christopher Nata
    • Supervision
      Ferdi Antonio
    • Visualization
      Ferdi Antonio
    • Writing – review & editing
      Ferdi Antonio