Ad
related to: lowe's digital level indicator model of change theory
Search results
Results From The WOW.Com Content Network
People developing their theory of change in a workshop. A theory of change (ToC) is an explicit theory of how and why it is thought that a social policy or program activities lead to outcomes and impacts. [1] ToCs are used in the design of programs and program evaluation (particularly theory-driven evaluation), across a range of policy areas.
Each behavioural change theory or model focuses on different factors in attempting to explain behaviour change. Of the many that exist, the most prevalent are learning theories, social cognitive theory, theories of reasoned action and planned behaviour, transtheoretical model of behavior change, the health action process approach, and the BJ Fogg model of behavior change.
Stages-of-growth model is a theoretical model for the growth of information technology (IT) in a business or similar organization. It was developed by Richard L. Nolan during the early 1970s, and with the final version of the model published by him in the Harvard Business Review in 1979.
This model of change, developed by Lewin, was a simplistic view of the process to change. This original model "developed in the 1920s and fully articulated in Lewin's (1936a) book Principles of Topological Psychology" [8] paved the way for other change models to be developed in the future.
Lowe's method for image feature generation transforms an image into a large collection of feature vectors, each of which is invariant to image translation, scaling, and rotation, partially invariant to illumination changes, and robust to local geometric distortion.
In psychology, the I-change model [1] [2] or the integrated model, for explaining motivational and behavioral change, derives from the Attitude – Social Influence – Self-Efficacy Model, integrates ideas of Ajzen's Theory of Planned Behavior, [3] Bandura's Social Cognitive Theory, Prochaska's Transtheoretical Model, [4] the Health Belief Model, [5] and Goal setting [6] theories.
The Digital twin integration level refers to the different degrees of data and information flow that may occur between the physical part and the digital copy of a digital twin. According to the different levels of integration, the digital twin can be divided into three subcategories: Digital Model (DM), Digital Shadow (DS) and Digital Twin (DT).
The Loewe additivity equation provides a prediction of the dose combination eliciting a given effect. Departure from Loewe additivity can be assessed informally by comparing this prediction to observations. This approach is known in toxicology as the model deviation ratio (MDR). [4]