A computational approach to managing performance dynamics in networked governance systems

Research output: Contribution to journalArticle

12 Scopus citations

Abstract

Governance systems continue to become more networked, collaborative, and interdependent. A computational approach to understanding and capitalizing on the complexity of such systems can provide invaluable insights on managing and enhancing performance. Building upon a complex adaptive systems view, this article demonstrates the use of computer simulation modeling to understand performance in networked governance systems and inform practitioners on how benefits can be harvested from the evolution of governance structures. The article contributes to the performance management field by directing attention to ex ante conditions and dynamic tensions among multiple stakeholders, in contrast to collecting ex post performance data. It also discusses the inherent challenges of a computational approach and how they can be mitigated.

Original languageEnglish (US)
Pages (from-to)580-597
Number of pages18
JournalPublic Performance and Management Review
Volume34
Issue number4
DOIs
StatePublished - Jun 1 2011

Keywords

  • agent-based modeling
  • complex adaptive systems
  • networked governance systems
  • performance management

ASJC Scopus subject areas

  • Public Administration
  • Strategy and Management

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