Combinations of Conditions for Network Effectiveness: A Fuzzy-Set Qualitative Comparative Analysis of 37 International Development Intervention Cases

Seungheon Han, Minah Kang

Research output: Contribution to journalArticlepeer-review

Abstract

Most international development projects that aim to eradicate poverty and improve the quality of life of people in low- and middle-income countries are implemented through a collaborative network of multiple parties, including non-governmental organizations (NGOs). However, how network effectiveness in international development projects can be achieved remains unclear. Using fuzzy-set qualitative comparative analysis, this study explores the causal conditions of network effectiveness of 37 international development projects implemented by South Korean NGOs based on a theoretical lens of collaborative networks. Findings revealed two causal configurations for network effectiveness. Even under a lack of network management capacity and unintegrated networks, or under resource deficiency and lack of network management capacity, high-level local capacity or high-quality collaboration among partners was shown to produce network effectiveness. An in-depth analysis of two cases with successful network effectiveness was also conducted to achieve a more thorough and comprehensive understanding of the causal conditions. The findings suggest practical solutions to manage collaborative networks and compensate for deficiencies of diverse conditions to improve network effectiveness.

Original languageEnglish
Pages (from-to)731-749
Number of pages19
JournalVoluntas
Volume32
Issue number4
DOIs
StatePublished - Aug 2021

Keywords

  • Collaborative networks
  • Fuzzy-set qualitative comparative analysis (fs/QCA)
  • International development cooperation
  • Non-governmental organizations (NGOs)

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