Sentence examples for diffusion success from inspiring English sources

Her former employer, Mizrahi, may be the best example of designer diffusion success at Target.

The first of the above cannot be expressed by the current models of information diffusion which do not segregate the diffusion success rate with respect to seasonal dependence, while the second case implies a non-homogeneous information rate across populations with different characteristics.

In addition, the likelihood of diffusion success is improved if the innovation can be adapted to meet local needs [ 5, 8, 11].

The model delineates the effects of service provider (e.g., self-efficacy, concern), treatment innovation (e.g., compatibility, complexity, relative advantage), organizational (e.g., culture, size, resources) and dissemination (e.g., type of approach, availability of interpersonal support) variables on diffusion success.

Johnston and McConnell (1989) find that the success and diffusion of financial securities may depend on which financial innovation has the best security design.

The insights are illustrated with two cases in which interventions designed to stimulate diffusion have had differential success: energy efficient light bulbs and low temperature laundry.

Drawing on interviews and secondary sources, this paper finds that the actors and the politics surrounding diffusion are key to success.

For a set of 18 practices commonly studied in the literature, this paper investigated diffusion, effect on the success, and perceived usefulness in 62 actual industrial projects from 28 Italian IT companies.

How do the different mechanisms and channels influence diffusion and its potential success, what are the primary factors at the origin of the proposed conditionality, how exactly do these mechanisms and channels influence FRP development, and (how) is it possible to include these dynamics in a formal model of FRP development?

Given the success of diffusion models in accounting for large classes of behavioral data, neurophysiologists have naturally employed these models to examine the neural mechanisms underlying simple forms of decision-making.

However, the success of diffusion techniques in turn highly contributed to the development of histogram analysis strategies.