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System dynamics is a methodology and mathematical modeling technique to frame, understand, and discuss complex issues and problems. Originally developed in the 1950s to help corporate managers improve their understanding of industrial processes, SD is currently being used throughout the public and private sector for policy analysis and design.
The field of comparative media system research has a long tradition reaching back to the study Four Theories of the Press by Siebert, Peterson and Schramm from 1956. This book was the origin of the academic debate on comparing and classifying media systems, [2] whereas it was normatively biased [3] and strongly influenced by the ideologies of the Cold War era. [4]
The nature of media dependence on societal systems varies across political, economic, and cultural system. The relationship between the media and the audience: This relationship is the key variable in this theory because it affects how people might use a mass medium. This relationship also varies across media systems.
A causal loop diagram of growth and underinvestment. The growth and underinvestment archetype is one of the common system archetype patterns defined as part of the system dynamics discipline.
In business and IT development the term "systems modeling" has multiple meanings. It can relate to: the use of model to conceptualize and construct systems; the interdisciplinary study of the use of these models
Media richness theory states that all communication media vary in their ability to enable users to communicate and to change understanding. [5] The degree of this ability is known as a medium's "richness." MRT places all communication media on a continuous scale based on their ability to adequately communicate a complex message. [6]
Participatory media is communication media where the audience can play an active role in the process of collecting, reporting, analyzing and disseminating content. [1] Citizen / participatory journalism , citizen media , empowerment journalism and democratic media are related principles.
A model consists of the equations used to capture the behavior of a system. By contrast, computer simulation is the actual running of the program that perform algorithms which solve those equations, often in an approximate manner.