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Bass model is very simple as it contains only three parameters, which describe three types of effects: external effects (coefficient of innovation - p), internal effects (coefficient of imitation - q), and saturation level (total potential market - m).
In general, one could describe physicians' attitudes towards PHRs as an external, but key influence on PHR diffusion in the patient community and society, by directly affecting the so called "coefficient of innovation" according to the Bass technology diffusion model [ 26].
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Coefficients of innovation (internal influence) and imitation (external influence) were produced using a form of the classic Bass diffusion model [ 13].
The version of the Bass model to describe sales of new products used in this paper is: S t = e - p + q t 1 + q p e - p + q t 2 where S t) is the rate of change of adoption (at time t) p and q are the coefficients of innovation (the propensity for shops to stock products independent of other shops) and imitation (the propensity for shops to stock products in response to the behavior of peer shops).
The starting point of the proposed method are time-varying reflection coefficients of adaptive innovation filter.
In the radical innovation, the coefficient of 40% quantile is significantly larger than that of 60% quantile and in the incremental innovation, the coefficient of 60% quantile is also significantly larger than that of 80%.
The signals are thus effectively represented by a small set of Fourier coefficients corresponding to the signals' rate of innovation.
We estimate a system of random coefficient Logit models, to obtain marginal values of innovation traits that can be useful for targeting farm types with appropriate innovations and designing policies for securing agricultural revenue.
We also found that the coefficients of the financial innovation proxy variables were positive and statistically significant both in the short run and long run.
As varies, the rate of innovation varies accordingly and leads to an increased or decreased number of spectral coefficients.
Simply a lack of innovation.
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