Revisiting organizations as information processors organizational structure as a predictor of noise filtering
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Authors
Fournier, Kevin L.
Subjects
Advisors
Pfeiffer, Karl
Date of Issue
2008-06
Date
Publisher
Monterey, California. Naval Postgraduate School
Language
Abstract
By comparing the information processing behaviors of four groups of mid-level working professionals as each undertakes a series of four complex, interdependent, computer-mediated decision-making exercises, this thesis explores 1) how processing of information in effective [i.e., high-performing] groups differs from the processing of information in ineffective [i.e., low-performing] groups, and 2) the characteristics of adaptation, from an information processing perspective, within high performing groups. The results of the exploration, though mostly inconclusive, call into question both intuition and literature regarding organizational structure as well as literature in information and knowledge sharing. It is predicted that meaningless (noise) information will be shared less as time passes and individuals learn. It is also hypothesized that as less noise is shared the organizations' performance will increase. As an explanation, this thesis proposes that the ability to filter noise not only increases over time, but is also dependent on the organizational structure further explaining why one structure consistently outperforms another organizational structure. Further experimentation is needed to test the validity of these conjectures and bring better understanding to Organizational Theory, Information Processing and Knowledge Sharing networks.
Type
Thesis
Description
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Department
Organization
Naval Postgraduate School (U.S.)
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NPS Report Number
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Format
xiv, 53 p. : ill. ;
Citation
Distribution Statement
Approved for public release; distribution is unlimited.