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  • Search: subject:"logistic diffusion pattern"
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Year of publication
Subject
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Innovation diffusion 4 Innovationsdiffusion 3 Dynamic increasing returns 2 Logistic diffusion pattern 2 Polya urn schemes 2 Returns to scale 2 Skalenertrag 2 Theorie 2 Theory 2 logistic diffusion pattern 2 Cohort analysis 1 Diffusion 1 Fernsehsender 1 Kohortenanalyse 1 Polya Urn 1 Social Web 1 Social web 1 Television industry 1 dynamic increasing returns 1 generational cohorts 1 hazard model 1 innovation diffusion 1 social media 1 television industry 1
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Online availability
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Free 3 Undetermined 1
Type of publication
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Article 2 Book / Working Paper 2
Type of publication (narrower categories)
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Article in journal 2 Aufsatz in Zeitschrift 2 Working Paper 2 Arbeitspapier 1 Graue Literatur 1 Non-commercial literature 1
Language
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English 4
Author
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Dosi, Giovanni 3 Moneta, Alessio 3 Stepanova, Elena 3 Doshi, Anil R. 1
Published in...
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Industry and innovation 2 LEM Working Paper Series 1 LEM working paper series 1
Source
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ECONIS (ZBW) 3 EconStor 1
Showing 1 - 4 of 4
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Diffusion with generational cohorts
Doshi, Anil R. - In: Industry and innovation 32 (2025) 3, pp. 281-306
Persistent link: https://www.econbiz.de/10015531801
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Dynamic increasing returns and innovation diffusion : bringing Polya Urn processes to the empirical data
Dosi, Giovanni; Moneta, Alessio; Stepanova, Elena - In: Industry and innovation 26 (2019) 4, pp. 461-478
Persistent link: https://www.econbiz.de/10012266004
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Dynamic increasing returns and innovation diffusion : bringing Polya Urn processes to the empirical data
Dosi, Giovanni; Moneta, Alessio; Stepanova, Elena - 2017
The patterns of innovation diffusion are well approximated by the logistic curves. This is the robust empirical fact confirmed by many studies in innovations dynamics. Here we show that the logistic pattern of innovation diffusion can be replicated by the time-dependent stochastic process with...
Persistent link: https://www.econbiz.de/10011671034
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Cover Image
Dynamic increasing returns and innovation diffusion: Bringing Polya Urn processes to the empirical data
Dosi, Giovanni; Moneta, Alessio; Stepanova, Elena - 2017
The patterns of innovation diffusion are well approximated by the logistic curves. This is the robust empirical fact confirmed by many studies in innovations dynamics. Here we show that the logistic pattern of innovation diffusion can be replicated by the time-dependent stochastic process with...
Persistent link: https://www.econbiz.de/10011789759
Saved in:
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