Sentence examples for innovation coefficient from inspiring English sources

Row 1 shows the estimate of β 0, i.e., of the pharmaceutical innovation coefficient when there is no lag between the number of drugs ever launched and the mortality rate.

Row 2 shows the estimate of β 3, i.e., of the pharmaceutical innovation coefficient when there is a 3-year lag between the number of drugs ever launched and the mortality rate.

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%.

In contrast, for innovation performance, the coefficient on the local government ownership is negative and statistically significant at the 5% level after controlling for R&D intensity, which predicts that firms affiliated with local government are less capable to generate new products.

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).

State ownership concentration is also positively related to innovation performance, and the coefficient is statistically significant at the 1% level, suggesting that state ownership is beneficial for new product's production and sales and supporting Hypothesis 1b.

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].

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 coefficient for product innovations is smaller than that for all innovations.

The starting point of the proposed method are time-varying reflection coefficients of adaptive innovation filter.