The EATPUT model is a model for Analyzing an information system designed by Anthony Debons of the University of Pittsburgh ‘s School of Information Science in 1961. It has-been Widely used in the fields of information systems and information science in a variety of areas. [1] One example is the use of the model in the design of information systems to serve remote islands. [2]

The EATPUT model is so called because of the six fundamental components, which taken together form the acronym EATPUT.


The Event Phase details. Representation to the system could take many forms, such as sound or digitally coded data, depending on the information system. For example, a weather predicting machine could be an increase in humidity, represented to the system as directly as an increase in water vapor in the air.


The Acquisition Phase is the sensor of an information system. The Acquisition Phase is the system ‘s captures its data pertaining to the Event Phase. Continuing with the example of a weather predicting machine, the increase in water vapor in the air is detected by an instrument on the device.


Transmission between the two phases, the most important of which is the accumulation of the acronym EATPUT. Transmission is a fairly straightforward concept; It is how the different components and phases of an information system communicate with each other. Continuing with the weather predicting machine, the water vapor sensors could code the information digitally and send it to the next phase.


Processing is the ordered, stored, retrieved, and operated on. The amount of humidity can be compared with the moisture content and the humidity is 60%.


The Utilization Phase of the system evaluates and interprets the Processing Phase. 60% humidity might mean that the chance of a thunderstorm is higher.


The Transfer Phase is the action component of the system, the implementation of the knowledge the other phases have generated. Perhaps the weather predicting machine, as it becomes more and more certain a severe thunderstorm is likely, will notify a human that can declare an appropriate storm warning or use the information for the television weather forecast.


  1. Jump up^ Google Scholar search for articles citing the EATPUT model
  2. Jump up^ Wang, C. (1992). A Micronesian information system: An application of EATPUT model. Journal of the American Society for Information Science, 43 (9), 594-601.

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