IS

Taggart, William

Topic Weight Topic Terms
0.229 decision support systems making design models group makers integrated article delivery representation portfolio include selection
0.215 dimensions electronic multidimensional game transactions relative contrast channels theory sustained model predict dimension mixture evolutionary
0.198 cognitive style research rules styles human individual personality indicates stopping users composition analysis linguistic contextual
0.139 information processing needs based lead make exchange situation examined ownership analytical improved situations changes informational

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Robey, Daniel 1
cognitive style 1 human information processing 1 Information systems 1

Articles (1)

Human Information Processing in Information and Decision Support Systems. (MIS Quarterly, 1982)
Authors: Abstract:
    This article explores the relevance of human information processing to the development and use of computer based information and decision support systems. Human information processing is related to the biological specializations of the human brain. Basically, the left cerebral hemisphere performs rational, sequential, analytical functions, while the right hemisphere operates intuitively, simultaneously, and holistically. In contrast, the electronic computer performs only logical, sequential operations. The electronic computer is in this sense a model of the left brain and not the right. Three implications emerge from this understanding. First, research using cognitive style to predict decision behavior should include intuitive styles as well as heuristic and analytical styles, even though intuition cannot be modeled in the traditional sense. Second, this article sheds light on the appropriate division of labor between the electronic computer and the human "bio-computer" for various types of organizational decision making. Third, information systems should be designed to support the type of processing required by the task, including both right and left hemisphere processes. Information systems which engage both hemispheres of the decision maker are likely to be more useful in complex tasks than those which support only the activities of the logical, left hemisphere.