Technological change in the U.S. music industry: Within-product, cross-product and churn effects between competing blockbusters
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DOI: 10.1016/j.techfore.2015.06.023
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Cited by:
- Foucart, Renaud & Wan, Cheng & Wang, Shidong, 2018.
"Innovations and technological comebacks,"
International Journal of Research in Marketing, Elsevier, vol. 35(1), pages 1-14.
- Renaud Foucart & Cheng Wan & Shidong Wang, 2018. "Innovations and technological comebacks," Post-Print hal-02887611, HAL.
- Pasquale L. Scandizzo & Marco Ventura, 2016. "Innovation and imitation as an interactive process," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 25(8), pages 821-851, November.
- Mariangela Guidolin & Renato Guseo, 2020. "Has the iPhone cannibalized the iPad? An asymmetric competition model," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 36(3), pages 465-476, May.
- Cerqueti, Roy & Quaranta, Anna Grazia & Ventura, Marco, 2016. "Innovation, imitation and policy inaction," Technological Forecasting and Social Change, Elsevier, vol. 111(C), pages 22-30.
- Guseo, Renato & Schuster, Reinhard, 2021. "Modelling dynamic market potential: Identifying hidden automata networks in the diffusion of pharmaceutical drugs," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 581(C).
- Thangeda, Rahul & Kumar, Niraj & Majhi, Ritanjali, 2024. "A neural network-based predictive decision model for customer retention in the telecommunication sector," Technological Forecasting and Social Change, Elsevier, vol. 202(C).
- Andrea Savio & Luigi De Giovanni & Mariangela Guidolin, 2022. "Modelling Energy Transition in Germany: An Analysis through Ordinary Differential Equations and System Dynamics," Forecasting, MDPI, vol. 4(2), pages 1-18, April.
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Keywords
Technological change; Competition models; Lotka–Volterra model with churn; Nonlinear regression;All these keywords.
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