Abstract
The nowadays explosion of new media distribution channels and the new digital tools based production work-flows require an immediate revision of the traditional ways in which media industry makes its business. Leading experts agree in recognizing automation of processes as one of the key for success in this scenario, especially for the potential production costs reduction introduced by it. However, there is a substantial lack of precision in evaluating the overall economical weight of this new business, which is particularly due to the extra complexity introduced by the advent of non-linear consumption paradigms (like the Internet), in which user’s feedback have a central importance. This paper represents an attempt to apply performance evaluation techniques to multi-channel productions, and it illustrates how these methods can help in optimizing the evaluation of costs of this kind of processes.
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Piazzolla, P., Gribaudo, M., Messina, A. (2009). Stochastic Modelling of Poll Based Multimedia Productions. In: Al-Begain, K., Fiems, D., Horváth, G. (eds) Analytical and Stochastic Modeling Techniques and Applications. ASMTA 2009. Lecture Notes in Computer Science, vol 5513. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02205-0_26
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DOI: https://doi.org/10.1007/978-3-642-02205-0_26
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