
doi: 10.2307/249283
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.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 54 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 1% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
