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• W3084496982 abstract "Due to technological advances, the global broadcasting industry is in the midst of a digitaltransformation. The factors that caused it, changing consumer behavior, the diversification ofcommunication channels, and new market entrants, have threatened traditional players intheir existence. For their fight for survival in this insecure environment, big data offer remedy:They present predictability and stability and presumably shine the light through animpenetrable world that is taken over by companies that do not consist of creativity buttechnology. To defy those tech giants, traditional broadcasting companies do not onlydevelop digital products and new business models that revolve around data, they also leantowards big data analytics to see how they can differentiate themselves from their newcompetitors in terms of content.With Netflix setting first examples, the implications of data-driven content for creativityhave been discussed fiercely within the industry. Academics, however, rather point out thelimitations of big data analytics, such as possible biases, and their cultural implications. Yet,little has been said about current and future possibilities of data-driven content. Furthermore,not much knowledge exists about how big data change organizational processes withinmedia companies and production processes of creative products. Therefore, this workresearches the Dutch broadcasting industry’s application of big data for decision-makingabout content and answers the question how companies in the Dutch TV broadcastingindustry use data and what are their intentions are regarding its possible application forcontent. 16 interviews with media experts in the field of data, production and decisionmaking were conducted and served as the basis for a latent thematic analysis.The findings draw a detailed picture of current developments and suggest that bigdata analytics are seen as the solution for the industry’s struggle and perceived as highlybeneficial for content. While the research revealed different levels of big data application forcontent between public and commercial broadcasters, the overall adoption of big data forcontent remains low and suggests a non-intrusive usage of big data analytics that tracesback to isomorphic tendencies. The little interference of big data with creative processes ascurrently prevalent in the market shows the resistance of the required fundamental change.The main reason for this was detected to be a lack of managerial vision and skill sets tochange existing routines and make data actionable. Overall, the development of a cleardirection and strategic approach of traditional players within the broadcasting market is yet tocome." @default.
• W3084496982 created "2020-09-21" @default.
• W3084496982 creator A5065193130 @default.
• W3084496982 date "2018-06-15" @default.
• W3084496982 modified "2023-09-26" @default.
• W3084496982 title "MANAGING THE DIGITAL TRANSFORMATION OF THE BROADCASTING INDUSTRY WITH BIG DATA - BIG DATA’S IMPACT ON CONTENT IN THE DUTCH BROADCASTING INDUSTRY" @default.
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