Titlebook: Entertainment Science; Data Analytics and P Thorsten Hennig-Thurau,Mark B. Houston Textbook 2019 Springer International Publishing AG, part

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defuse

AWE

Alex W. H. Choy,Daniel P. K. Lunoduct’s commercial potential. We review the different econometric prediction methods that are available for such a purpose and discuss concrete scientific prediction models for new product success and their use at different stages of the innovation process.

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SUGAR

Edward Chern Jinn Gan,Salim Mohamed Salimes of price discrimination approaches and illustrating their applications in the context of entertainment. When doing so, we dedicate particular attention to “freemium” pricing models, a special kind of versioning.

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,Forget the “Nobody-Knows-Anything” Mantra: It’s Time for ,!,s. We show that analytics also needs powerful theory to be effective, as empirical results and predictions will otherwise be misleading and useless. . fuses managerial intuition with data analytics and theory, suggesting a new path for the thoughtful entertainment manager.

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Why Entertainment Products are Unique: Key Characteristicse “first copy,” with each additional copy being low- or no-cost), and tend to have short life cycles. Entertainment products can acquire revenues not only from consumers, but also from advertisers and other parties, and “externalities” exist between these parties. This chapter provides a critical foundation for the rest of the book.