Applying an Organizational Uncertainty Principle: Semantic Web-Based Metrics

Applying an Organizational Uncertainty Principle: Semantic Web-Based Metrics

Joseph Wood (US Army, USA), Hui-Lien Tung (Paine College, USA), Tina Marshall-Bradley (Paine College, USA), Donald A. Sofge (Naval Research Laboratory, USA), James M. Grayson (Augusta State University, USA), Margo Bergman (Northwest Health Services Research & Development (HSR&D), USA) and William F. Lawless (Paine College, USA)
Copyright: © 2010 |Pages: 20
DOI: 10.4018/978-1-60566-982-3.ch098

Abstract

The theory of bistable perceptions in the interaction indicates the existence of an uncertainty principle with effects amplified at the organizational level. Traditional theory of the interaction, organizational theory, and the justification for an organizational uncertainty principle are reviewed. The organizational uncertainty principle predicts counterintuitive effects that can be exploited with the Semantic Web to formulate a set of metrics for organizational performance. As a preliminary test of the principle, metrics derived from it are applied to two case studies, both works in progress, with the first as an ongoing large system-wide application of web-based metrics for organizational performance and the second as a case study of a small college where web-based metrics are being considered and constructed. In preparation for the possibility of machine-based real-time metrics afforded by the Semantic Web, the results demonstrate a successful theory and application in the field of an uncertainty principle for organizations.

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