Architectural patterns of U.S. public safety networks: a fuzzy set qualitative comparison analysis

  • Authors:
  • Steve Sawyer;Robert Schrier;Jane Fedorowicz;Martin Dias;Christine Williams;Mike Tyworth

  • Affiliations:
  • Syracuse University;Polaris Library Systems;Bentley University;Northeastern University;Bentley University;Penn State University

  • Venue:
  • Proceedings of the 13th Annual International Conference on Digital Government Research
  • Year:
  • 2012

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Abstract

This paper contains analysis and some initial insights into the patterns of information technology (IT) architecture found in United States' public safety networks (PSNs). A PSN is understood to be an inter-organizational collaboration enabled by IT in support of the information sharing and interoperability needs of police and associated public safety organizations. We know the information systems designed and used by PSNs are often complex, expensive, and must support multiple public safety agencies. Improving our understanding of PSN IT architecture patterns could lead to improved designs and possibly improved performance of PSNs themselves. Data collected on 61 PSNs are analyzed using fuzzy set Qualitative Comparative Analysis (fsQCA). The fsQCA method is explained in detail for those unfamiliar with this technique. Results illuminate (1) functionally similar configuration patterns of IT architecture among PSNs and (2) multiple architectural patterns associated with PSN performance.