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Article Dans Une Revue Technological Forecasting and Social Change Année : 2018

Technology-enabled community data for gaining pre-release brand insights

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Résumé

In the past, studies have investigated brand equity only in the ‘post-launch’ context, hence missing opportunities to make early corrections in cases of negative favourability. Using technology-enabled online community data, this study examines whether ‘pre-launch’ brand favourability can predict community's post-launch purchase decisions, by introducing a new construct called community-based brand equity (CoBBE). This study also investigates whether CoBBE can predict future sales of new products. Weekly data are collected for eight weeks before and after product launch from a movie-based online community for a period of 16 months. The results show that community-based variables such as pre-launch brand awareness level, brand favourability and brand strength have a significant influence on 1) community members' post-release purchase decisions both in the opening week as well as the entire lifetime of products, and 2) satisfaction level. The study also finds that CoBBE is a significant predictor of future market sales, thus showing the usefulness of CoBBE as an early warning diagnostic tool which will enable movie studios to gain early brand-related insights as well as to make early corrective actions when needed.
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Dates et versions

hal-01999624 , version 1 (30-01-2019)

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Pradeep Kumar Ponnamma Divakaran. Technology-enabled community data for gaining pre-release brand insights. Technological Forecasting and Social Change, 2018, 127, pp.217-226. ⟨10.1016/j.techfore.2017.09.024⟩. ⟨hal-01999624⟩
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