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Prior research has mostly used the adoption or non-adoption of ABC systems to capture the characteristics of product costing systems.
The socioeconomic component of the project collected data based on household surveys intended for use in analysing socio-demographic factors that could be associated with adoption or non-adoption of conservation agriculture-based practices such as MTM.
Previous studies have focused on binary outcomes such as the adoption (vs. non-adoption) of a service [6, 21], and have measured exposure as the number of social contacts that have adopted the service previously.
Instead of using only the adoption or non-adoption of ABC systems as a measure of product cost system design this research uses four different proxy measures of cost system sophistication to capture the characteristics of the product costing systems.
In order to effectively target outreach efforts to commercial applicators, managers need to better understand current use patterns and the motivations behind the adoption and non-adoption of preferred practices.
This study explored the sociotechnical influences shaping the naturally-occurring adoption and non-adoption of device technologies in the UK's National Health Service (NHS), amid increasing policy interest in this area.
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While technology use is becoming ever more ubiquitous in society, there are times when even the most useful of technologies faces non-adoption for a variety of contextual reasons.
The difference between the utilities from adoption (UAi) and non-adoption (UNi) of modern varieties (MVs) of paddy may be denoted as G *, such that the ith household would like to adopt the given technology if UAi is greater than UNi.
24 We assessed the extent to which HealthSpace had been adopted and used in the three years after its introduction in 2007, the extent to which the benefits anticipated by policy makers had been realised, explanations for non-adoption and abandonment of HealthSpace, and lessons learnt from the introduction and use of personal electronic health records more generally.
Following Verbeek (2004: 192), for each farmer i, we can write the utility difference between adoption and non-adoption as a function of observed characteristics (x i ) and unobserved characteristics (ε i ), i.e.: {y}_i^={U}_i^a-{U}_i^b={x}_i^{prime}beta +{varepsilon}_i (2).
27 We explicitly studied cases of non-adoption and discontinuation after initial adoption, which are rarely included in innovation diffusion studies.
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