Models of technology diffusion

By P. Geroski. 2000

1,560 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Management Science and Operations Research, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/3482b2fae1b8087e39bac265c07538a647f2f4ae

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Citations in the corpus

Market Formation in Technological Innovation Systems—Diffusion of Photovoltaic Applications in Germany (2011, background): “On a more general level, we have argued that market formation processes in PV markets did not follow a linear model, as already observed in other technology areas (Geroski, 2000; Baskerville and Pries-Heje, 2003).”
Homophily, Group Size, and the Diffusion of Political Information in Social Networks: Evidence from Twitter (2016, neutral): “Geroski (2000) discusses the spread of technology across groups in the context of a Bass diffusion model under homophily.6 Bloch et al. (2014) consider the spread of possibly false information with both biased and unbiased agents, finding that unbiased agents can serve as a filter in the network by…”
Under the radar: Industry entry by user entrepreneurs (2010, background): “If commercial value is created in a different industry from that in which the original product was located, we should expect new challenges connected to technology diffusion and knowledge recombination (Geroski, 2000).”
The impact of federal incentives on the adoption of hybrid electric vehicles in the United States (2013, background): “…adoption curves to take on S-shapes (Bass, 1969; Griliches, 1957), which consist of exponential growth followed by a change in concavity corresponding to a declining rate of adoption as the technologymatures and reaches market saturation (Geroski, 2000; Mahajan and Peterson, 1985; Stoneman, 2002).”
How Innovative are UK Firms? Evidence from the Fourth UK Community Innovation Survey on Synergies between Technological and Organizational Innovations (2010, neutral): “There is an extensive theoretical and empirical literature that looks at what the relevant characteristics might be (see Geroski, 2000).”
The value of retrofitting carbon-saving measures into fuel poor social housing (2010, methodology): “One approach, using the Rogers model for technology adoption (Geroski, 2000), would be to focus on the ‘‘willing-to-pay’’ sector; generally households with significant disposable income and, in this case, ambitions towards achieving greater energy efficiency and reduced carbon emissions.”
Biotechnology boosts to crop productivity in China: trade and welfare implications (2004, background): “Karshenas and Stoneman , 1995 ; Geroski , 2000 ; Sunding and Zilberman , 2001 for overviews ) .”