ContextDeterminantsBarriersFrameworksImplementationThe relevance of context in implementation science is reflected in the numerous theories, frameworks, models and taxonomies that have been proposed to analyse determinants of implementation (in this paper referred to as determinant frameworks). This scoping ...
Context is a problem for implementation science. Researchers in the field have sought to identify, characterise and explain the mechanisms implicated in individual behaviour change and collective action for many years. They have sought to develop theoretical models and empirical research instruments, as ...
Context, broadly defined as the environment or setting in which a proposed change is to be implemented [7], is an integral and influential factor in the implementation of best practices [8]. Despite its significance to best practice use, and other workplace behaviors, context has no universally...
(2007) explicitly identified the science and technology-based innovation mode (STI) that develops a relevant output based on high R&D expenditures, including investments in highly skilled scientific human resources and advanced technologies and infrastructures. The STI innovation mode supports interactions ...
In subject area: Computer Science Calling context in Computer Science refers to the information that determines how a function is called, whether in a list context or a scalar context. This context influences the behavior of the function and the type of data it returns based on how it is cal...
The focus of this study in addition to the methodology creates a unique opportunity to contribute to the field of implementation science. First, the study will explore implementation experiences under circumstances where regulatory pressures are influencing the organization's change process. Second, the ...
As the barriers to lean production implementation (LPI) are influenced by the context, the search for generalisable barriers, relationships, priorities and control measures is to some extent elusive. This study introduces a framework for managing barriers to LPI in specific companies, which is compris...
After framing some theoretical notions of embodied cognition in the perspective of modern cognitive science, we analyze a case study - continuity of functions. We use conceptual metaphor theory to show how embodied cognition, while providing grounding for situatedness, also gives fruitful results in ...
We introduce UniCell: Deconvolve Base (UCDBase), a pre-trained, interpretable, deep learning model to deconvolve cell type fractions and predict cell identity across Spatial, bulk-RNA-Seq, and scRNA-Seq datasets without contextualized reference data. UCD
Promises and pitfalls in implementation science from the perspective of US-based researchers: learning from a pre-mortem. Implement Sci. 2022;17(1):55. Article PubMed PubMed Central Google Scholar Shelton RC, Adsul P, Oh A. Recommendations for addressing structural racism in implementation ...