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The source–message–channel–receiver model is a linear transmission model of communication. It is also referred to as the sender–message–channel–receiver model, the SMCR model, and Berlo's model. It was first published by David Berlo in his 1960 book The Process of Communication.
Agenda-setting theory was formally developed by Maxwell McCombs and Donald Lewis Shaw in a study on the 1968 presidential election deemed "the Chapel Hill study". McCombs and Shaw demonstrated a strong correlation between one hundred Chapel Hill residents' thought on what was the most important election issue and what the local news media reported was the most important issue.
Channel expansion theory (CET) states that individual experience serves as an important role in determining the level of richness perception and development towards certain media tools. It is a theory of communication media perception that incorporates experiential factors to explain and predict user perceptions of a given media channel. The ...
Media multiplexity theory was a concept developed by Caroline Haythornthwaite, based on her observations in organizational and educational settings. The theory posits that the more communication channels one uses with another person, the stronger the bond with that person.
A model of communication is a simplified presentation that aims to give a basic explanation of the process by highlighting its most fundamental characteristics and components. [16] [8] [17] For example, James Watson and Anne Hill see Lasswell's model as a mere questioning device and not as a full model of communication. [10]
Communications management is the systematic planning, implementing, monitoring, and revision of all the channels of communication within an organization and between organizations. It also includes the organization and dissemination of new communication directives connected with an organization, network , or communications technology .
Information richness is defined by Daft and Lengel as "the ability of information to change understanding within a time interval". [1]Media richness theory states that all communication media vary in their ability to enable users to communicate and to change understanding. [5]
The feedback capacity is known as a closed-form expression only for several examples such as the trapdoor channel, [14] Ising channel, [15] [16]. For some other channels, it is characterized through constant-size optimization problems such as the binary erasure channel with a no-consecutive-ones input constraint, [ 17 ] NOST channel.