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What drives network effectiveness? A configurational approach

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  • Denita Cepiku
  • Filippo Giordano
  • Marco Mastrodascio
  • Weijie Wang

Abstract

Scholars have been trying to fully comprehend the drivers of the performance of public networks. Based on the multilevel performance model proposed by Cepiku, this article employs a fuzzy-set Qualitative Comparative Analysis (fsQCA) to study twelve UNESCO’s Heritage Sites in Italy with the aim of investigating configurational conditions that impact community-level network performance. The analysis reveals different but functionally equivalent configurations of causal conditions that lead to high performance at the community-level, which are different from the configurations that lead to poor performance. The findings show the importance of network management to network effectiveness and reveal a path to effectiveness for highly complex networks.

Suggested Citation

  • Denita Cepiku & Filippo Giordano & Marco Mastrodascio & Weijie Wang, 2021. "What drives network effectiveness? A configurational approach," Public Management Review, Taylor & Francis Journals, vol. 23(10), pages 1479-1503, October.
    • Handle: RePEc:taf:rpxmxx:v:23:y:2021:i:10:p:1479-1503
    DOI: 10.1080/14719037.2020.1764084
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