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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.
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Stored only when both papers are in the corpus — 39 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.