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    • Theses (MU)
    • 2016 Theses (MU)
    • 2016 MU theses - Freely available online
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    Business models of digital longform publications

    Gorbachev, Aleksandr
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    [PDF] public.pdf (2.184Kb)
    [PDF] research.pdf (1.548Mb)
    [PDF] short.pdf (33.24Kb)
    Date
    2016
    Format
    Thesis
    Metadata
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    Abstract
    Despite a widespread conviction that longform reporting, one of the most established and respected genres of journalism, will become unsustainable because of the challenges posed by the internet and the digital environment, numerous digital publications that focus on longform journalism have emerged in recent years. This curious paradox is worth looking into. Through semi-structured in-depth interviews with the executives of digital longform publications, this study, using the frameworks of the disruption theory and the five competitive forces theory, presents an analysis of business practices and procedure of such publications to establish the roots and the substance of this phenomenon. The rise of digital longform publication can be explained by the market opportunity that was created by the shrinking economy of the magazine industry, as well as by the technological advances and cheap costs of digital publishing. However, in the current state of affairs, this microindustry seems to have a considerable lack of sustainable models: while the executives of the publications tend to treat them as experiments, only a few pursue experimental revenue streams, with more or less success, whereas traditional income streams for legacy media are harder to establish to the necessary extent. Additionally, both marketing strategies and understanding about the target audience are mostly weak. Using the framework of Porter's five forces theory, the study analyzes key patterns found in the interviews to identify and explain the most significant traits of digital longform publications, contributing to the growing body of knowledge of the media economy in the digital age.
    URI
    https://hdl.handle.net/10355/56060
    Degree
    M.A.
    Thesis Department
    Journalism (MU)
    Rights
    OpenAccess.
    This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License.
    Collections
    • 2016 MU theses - Freely available online
    • Journalism electronic theses and dissertations (MU)

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